78 FR 54253 - Proposed Data Collections Submitted for Public Comment and Recommendations

Federal Register 2010, 2011, 2012, 2013, 2014

2013-09-03

... every level of the social ecology, including individuals, families, and communities, and thus have the... effective population-based prevention strategies. Approximately 188 Colorado state and county employees and partners form the sample population. Specifically, state- and county-level employees working in welfare and...

43. Upper level, left to rightground missile guidance system liquid ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

43. Upper level, left to right--ground missile guidance system liquid cooling equipment, guidance and control coupler rack, programmer group - Ellsworth Air Force Base, Delta Flight, Launch Facility, On County Road T512, south of Exit 116 off I-90, Interior, Jackson County, SD

Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China

PubMed Central

Li, Nian-Nian; Wang, Cun-Hui; Ni, Hong; Wang, Heng

2017-01-01

Background: China began to implement the national medical and health system and public hospital reforms in 2009 and 2012, respectively. Anhui Province is one of the four pilot provinces, and the medical reform measures received wide attention nationwide. The effectiveness of the above reform needs to get attention. This study aimed to master the efficiency and productivity of county-level public hospitals based on the data envelopment analysis (DEA) model and Malmquist index in Anhui, China, and then provide improvement measures for the future hospital development. Methods: We chose 12 country-level hospitals based on geographical distribution and the economic development level in Anhui Province. Relevant data that were collected in the field and then sorted were provided by the administrative departments of the hospitals. DEA models were used to calculate the dynamic efficiency and Malmquist index factors for the 12 institutions. Results: During 2010–2015, the overall average relative service efficiency of 12 county-level public hospitals was 0.926, and the number of hospitals achieved an effective DEA for each year from 2010 to 2015 was 4, 6, 7, 7, 6, and 8, respectively, as measured using DEA. During this same period, the average overall production efficiency was 0.983, and the total productivity factor had declined. The overall production efficiency of five hospitals was >1, and the rest are <1 between 2010 and 2015. Conclusions: In 2010–2015, the relative service efficiency of 12 county-level public hospitals in Anhui Province showed a decreasing trend, and the service efficiency of each hospital changed. In the past 6 years, although some hospitals have been effective, the efficiency of the county-level public hospitals in Anhui Province has not improved significantly, and the total factor productivity has not been effectively improved. County-level public hospitals need to combine their own reality to find their own deficiencies. PMID:29176142

Efficiency and Productivity of County-level Public Hospitals Based on the Data Envelopment Analysis Model and Malmquist Index in Anhui, China.

PubMed

Li, Nian-Nian; Wang, Cun-Hui; Ni, Hong; Wang, Heng

2017-12-05

China began to implement the national medical and health system and public hospital reforms in 2009 and 2012, respectively. Anhui Province is one of the four pilot provinces, and the medical reform measures received wide attention nationwide. The effectiveness of the above reform needs to get attention. This study aimed to master the efficiency and productivity of county-level public hospitals based on the data envelopment analysis (DEA) model and Malmquist index in Anhui, China, and then provide improvement measures for the future hospital development. We chose 12 country-level hospitals based on geographical distribution and the economic development level in Anhui Province. Relevant data that were collected in the field and then sorted were provided by the administrative departments of the hospitals. DEA models were used to calculate the dynamic efficiency and Malmquist index factors for the 12 institutions. During 2010-2015, the overall average relative service efficiency of 12 county-level public hospitals was 0.926, and the number of hospitals achieved an effective DEA for each year from 2010 to 2015 was 4, 6, 7, 7, 6, and 8, respectively, as measured using DEA. During this same period, the average overall production efficiency was 0.983, and the total productivity factor had declined. The overall production efficiency of five hospitals was >1, and the rest are <1 between 2010 and 2015. In 2010-2015, the relative service efficiency of 12 county-level public hospitals in Anhui Province showed a decreasing trend, and the service efficiency of each hospital changed. In the past 6 years, although some hospitals have been effective, the efficiency of the county-level public hospitals in Anhui Province has not improved significantly, and the total factor productivity has not been effectively improved. County-level public hospitals need to combine their own reality to find their own deficiencies.

California County Data Book 1997 [and] Report Card 1997. Challenges Ahead: Can Counties Make the Grade? A Children Now Report.

ERIC Educational Resources Information Center

Pine, Amy

This Kids Count data book and report card examines statewide and county level trends in the well-being of California's children, with an additional focus on indicators of the new economic realities encountered by families as counties take on greater responsibility for local welfare programs. The statistical portrait is based on indicators in the…

Forecasting weed distributions using climate data: a GIS early warning tool

USGS Publications Warehouse

Jarnevich, Catherine S.; Holcombe, Tracy R.; Barnett, David T.; Stohlgren, Thomas J.; Kartesz, John T.

2010-01-01

The number of invasive exotic plant species establishing in the United States is continuing to rise. When prevention of exotic species from entering into a country fails at the national level and the species establishes, reproduces, spreads, and becomes invasive, the most successful action at a local level is early detection followed eradication. We have developed a simple geographic information system (GIS) analysis for developing watch lists for early detection of invasive exotic plants that relies upon currently available species distribution data coupled with environmental data to aid in describing coarse-scale potential distributions. This GIS analysis tool develops environmental envelopes for species based upon the known distribution of a species thought to be invasive and represents the first approximation of its potential habitat while the necessary data are collected to perform more in­-depth analyses. To validate this method we looked at a time series of species distributions for 66 species in Pacific Northwest, and northern Rocky Mountain counties. The time series analysis presented here did select counties that the invasive exotic weeds invaded in subsequent years, showing that this technique could be useful in developing watch lists for the spread of particular exotic species. We applied this same habitat-matching model based upon bioclimaric envelopes to 100 invasive exotics with various levels of known distributions within continental U.S. counties. For species with climatically limited distributions, county watch lists describe county-specific vulnerability to invasion. Species with matching habitats in a county would be added to that county's list. These watch lists can influence management decisions for early warning, control prioritization, and targeted research to determine specific locations within vulnerable counties. This tool provides useful information for rapid assessment of the potential distribution based upon climate envelopes of current distributions for new invasive exotic species.

An Innovative Community-Based Model for Improving Preventive Care in Rural Counties

PubMed Central

Scheid, Dewey; Zhao, Daniel; Mishra, Bhawani; Greever-Rice, Tracy

2017-01-01

Objectives This quasi-experimental pilot study aimed to implement and evaluate a sustainable, rural community-based patient outreach model for preventive care provided through primary care practices located in a rural county in Oklahoma. A Wellness Coordinator (WC) working with primary care practices (PCPs), the county health department, the county hospital, and a health information exchange (HIE) organization helped county residents receive evidence-based preventive services. Methods The WC used a community wellness registry connected to electronic medical records via HIE and called patients at the county level based on PCP-prioritized and tailored protocols. The registry flagged patient-level preventive care gaps, tracked outreach efforts, and documented the delivery of preventive services throughout the community. Return on investment (ROI) for prioritized preventive services was estimated in participating organizations. Results Six of the seven primary care practices in the county expressed interest in the project. Three of these practices fully implemented the 1-year outreach program starting in mid-2015. The regional HIE supplied periodic data updates for 9,138 county residents to help the coordinators address care gaps using the community registry. A total of 5,034 outreach calls were made by the WC in the first year and 7,776 prioritized recommendations were offered when care gaps were detected. Of the 5,034 distinct patients who received a call, 1146 (22%) were up-to-date on all prioritized services, while 3,888 (78%) were due for at least one of the selected services. Healthcare organizations in the county significantly improved the delivery of selected preventive services (mean increase: 35% across 10 services; p= 0.004; range: 3% to 215%) and realized a mean ROI of 80% for these services (range: 32% to 122%). The health system that employed the WC earned an estimated revenue of $52,000 realizing a 40% ROI for the coordinator position. Conclusions Although more research is needed, our pilot study suggests that it may be feasible and cost-effective to implement an innovative, county-level patient outreach program for improving preventive care in rural settings. PMID:28923810

40. Upper level, electronic racks, left to rightstatus command message ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

40. Upper level, electronic racks, left to right--status command message processing group, UHF radio, impss rack security, power supply group rack - Ellsworth Air Force Base, Delta Flight, Launch Facility, On County Road T512, south of Exit 116 off I-90, Interior, Jackson County, SD

42. Upper level, electronic racks, left to rightguidance and control ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

42. Upper level, electronic racks, left to right--guidance and control coupler rack, programmer group, status command message processing group, UHF radio - Ellsworth Air Force Base, Delta Flight, Launch Facility, On County Road T512, south of Exit 116 off I-90, Interior, Jackson County, SD

County-level job automation risk and health: Evidence from the United States.

PubMed

Patel, Pankaj C; Devaraj, Srikant; Hicks, Michael J; Wornell, Emily J

2018-04-01

Previous studies have observed a positive association between automation risk and employment loss. Based on the job insecurity-health risk hypothesis, greater exposure to automation risk could also be negatively associated with health outcomes. The main objective of this paper is to investigate the county-level association between prevalence of workers in jobs exposed to automation risk and general, physical, and mental health outcomes. As a preliminary assessment of the job insecurity-health risk hypothesis (automation risk → job insecurity → poorer health), a structural equation model was used based on individual-level data in the two cross-sectional waves (2012 and 2014) of General Social Survey (GSS). Next, using county-level data from County Health Rankings 2017, American Community Survey (ACS) 2015, and Statistics of US Businesses 2014, Two Stage Least Squares (2SLS) regression models were fitted to predict county-level health outcomes. Using the 2012 and 2014 waves of the GSS, employees in occupational classes at higher risk of automation reported more job insecurity, that, in turn, was associated with poorer health. The 2SLS estimates show that a 10% increase in automation risk at county-level is associated with 2.38, 0.8, and 0.6 percentage point lower general, physical, and mental health, respectively. Evidence suggests that exposure to automation risk may be negatively associated with health outcomes, plausibly through perceptions of poorer job security. More research is needed on interventions aimed at mitigating negative influence of automation risk on health. Copyright © 2018 Elsevier Ltd. All rights reserved.

County Variation in Children's and Adolescent's Health Status and School District Performance in California

PubMed Central

Jung, Sunyoung

2008-01-01

Objectives. We examined the association between county-level estimates of children's health status and school district performance in California. Methods. We used 3 data sources: the California Health Interview Survey, district archives from the California Department of Education, and census-based estimates of county demographic characteristics. We used logistic regression to estimate whether a school district's failure to meet adequate yearly progress goals in 2004 to 2005 was a function of child and adolescent's health status. Models included district- and county-level fixed effects and were adjusted for the clustering of districts within counties. Results. County-level changes in children's and adolescent's health status decreased the likelihood that a school district would fail to meet adequate yearly progress goals during the investigation period. Health status did not moderate the relatively poor performance of predominantly minority districts. Conclusions. We found empirical support that area variation in children's and adolescent's health status exerts a contextual effect on school district performance. Future research should explore the specific mechanisms through which area-level child health influences school and district achievement. PMID:18309137

Behavioral and community correlates of adolescent pregnancy and Chlamydia rates in rural counties in Minnesota.

PubMed

Kozhimannil, Katy B; Enns, Eva; Blauer-Peterson, Cori; Farris, Jill; Kahn, Judith; Kulasingam, Shalini

2015-06-01

Identifying co-occurring community risk factors, specific to rural communities, may suggest new strategies and partnerships for addressing sexual health issues among rural youth. We conducted an ecological analysis to identify the county-level correlates of pregnancy and chlamydia rates among adolescents in rural (nonmetropolitan) counties in Minnesota. Pregnancy and chlamydia infection rates among 15-19 year-old females were compared across Minnesota's 87 counties, stratified by rural/urban designations. Regression models for rural counties (n = 66) in Minnesota were developed based on publicly available, county-level information on behaviors and risk exposures to identify associations with teen pregnancy and chlamydia rates in rural settings. Adolescent pregnancy rates were higher in rural counties than in urban counties. Among rural counties, factors independently associated with elevated county-level rates of teen pregnancy included inconsistent contraceptive use by 12th-grade males, fewer 12th graders reporting feeling safe in their neighborhoods, more 9th graders reporting feeling overweight, fewer 12th graders reporting 30 min of physical activity daily, high county rates of single parenthood, and higher age-adjusted mortality (P < .05 for all associations). Factors associated with higher county level rates of chlamydia among rural counties were inconsistent condom use reported by 12th-grade males, more 12th graders reporting feeling overweight, and more 12th graders skipping school in the past month because they felt unsafe. This ecologic analysis suggests that programmatic approaches focusing on behavior change among male adolescents, self-esteem, and community health and safety may be complementary to interventions addressing teen sexual health in rural areas; such approaches warrant further study.

Behavioral and Community Correlates of Adolescent Pregnancy and Chlamydia Rates in Rural Counties in Minnesota1

PubMed Central

Kozhimannil, Katy B.; Enns, Eva; Blauer-Peterson, Cori; Farris, Jill; Kahn, Judith; Kulasingam, Shalini

2014-01-01

Purpose Identifying co-occurring community risk factors, specific to rural communities, may suggest new strategies and partnerships for addressing sexual health issues among rural youth. We conducted an ecological analysis to identify the county-level correlates of pregnancy and chlamydia rates among adolescents in rural (nonmetropolitan) counties in Minnesota. Methods Pregnancy and chlamydia infection rates among 15–19 year-old females were compared across Minnesota’s 87 counties, stratified by rural/urban designations. Regression models for rural counties (n=66) in Minnesota were developed based on publicly available, county-level information on behaviors and risk exposures to identify associations with teen pregnancy and chlamydia rates in rural settings. Findings Adolescent pregnancy rates were higher in rural counties than in urban counties. Among rural counties, factors independently associated with elevated county-level rates of teen pregnancy included inconsistent contraceptive use by 12th-grade males, fewer 12th graders reporting feeling safe in their neighborhoods, more 9th graders reporting feeling overweight, fewer 12th graders reporting 30 min of physical activity daily, high county rates of single parenthood, and higher age-adjusted mortality (P < .05 for all associations). Factors associated with higher county level rates of chlamydia among rural counties were inconsistent condom use reported by 12th-grade males, more 12th graders reporting feeling overweight, and more 12th graders skipping school in the past month because they felt unsafe. Conclusions This ecologic analysis suggests that programmatic approaches focusing on behavior change among male adolescents, self-esteem, and community health and safety may be complementary to interventions addressing teen sexual health in rural areas; such approaches warrant further study. PMID:25344773

Groundwater levels for selected wells in Upper Kittitas County, Washington

USGS Publications Warehouse

Fasser, E.T.; Julich, R.J.

2011-01-01

Groundwater levels for selected wells in Upper Kittitas County, Washington, are presented on an interactive, web-based map to document the spatial distribution of groundwater levels in the study area measured during spring 2011. Groundwater-level data and well information were collected by the U.S. Geological Survey using standard techniques and are stored in the U.S. Geological Survey National Water Information System, Groundwater Site-Inventory database.

Impact of free delivery policy on utilization of maternal health services in county referral hospitals in Kenya.

PubMed

Njuguna, John; Kamau, Njoroge; Muruka, Charles

2017-06-21

Kenya has a high maternal mortality rate. Provision of skilled delivery plays a major role in reducing maternal mortality. Cost is a hindrance to the utilization of skilled delivery. The Government of Kenya introduced a policy of free delivery services in government facilities beginning June 2013. We sought to determine the impact of this intervention on facility based deliveries in Kenya. We compared deliveries and antenatal attendance in 47 county referral hospitals and 30 low cost private hospitals not participating in the free delivery policy for 2013 and 2014 respectively. The data was extracted from the Kenya Health Information System. Multiple regression was done to assess factors influencing increase in number of deliveries among the county referral hospitals. The number of deliveries and antenatal attendance increased by 26.8% and 16.2% in county referral hospitals and decreased by 11.9% and 5.4% respectively in low cost private hospitals. Increase in deliveries among county referral hospitals was influenced by population size of county and type of county referral hospital. Counties with level 5 hospitals recorded more deliveries compared to those with level 4 hospitals. This intervention increased the number of facility based deliveries. Policy makers may consider incorporating low cost private hospitals so as to increase the coverage of this intervention.

Feasibility and roadmap analysis for malaria elimination in China.

PubMed

Zhou, Xiao-Nong; Xia, Zhi-Gui; Wang, Ru-Bo; Qian, Ying-Jun; Zhou, Shui-Sen; Utzinger, Jürg; Tanner, Marcel; Kramer, Randall; Yang, Wei-Zhong

2014-01-01

To understand the current status of the malaria control programme at the county level in accordance with the criteria of the World Health Organisation, the gaps and feasibility of malaria elimination at the county and national levels were analysed based on three kinds of indicators: transmission capacity, capacity of the professional team, and the intensity of intervention. Finally, a roadmap for national malaria elimination in the People's Republic of China is proposed based on the results of a feasibility assessment at the national level. Copyright © 2014 Elsevier Ltd. All rights reserved.

Bayesian Small Area Estimates of Diabetes Incidence by United States County, 2009

PubMed Central

Barker, Lawrence E.; Thompson, Theodore J.; Kirtland, Karen A; Boyle, James P; Geiss, Linda S; McCauley, Mary M.; Albright, Ann L.

2015-01-01

In the United States, diabetes is common and costly. Programs to prevent new cases of diabetes are often carried out at the level of the county, a unit of local government. Thus, efficient targeting of such programs requires county-level estimates of diabetes incidence–the fraction of the non-diabetic population who received their diagnosis of diabetes during the past 12 months. Previously, only estimates of prevalence–the overall fraction of population who have the disease–have been available at the county level. Counties with high prevalence might or might not be the same as counties with high incidence, due to spatial variation in mortality and relocation of persons with incident diabetes to another county. Existing methods cannot be used to estimate county-level diabetes incidence, because the fraction of the population who receive a diabetes diagnosis in any year is too small. Here, we extend previously developed methods of Bayesian small-area estimation of prevalence, using diffuse priors, to estimate diabetes incidence for all U.S. counties based on data from a survey designed to yield state-level estimates. We found high incidence in the southeastern United States, the Appalachian region, and in scattered counties throughout the western U.S. Our methods might be applicable in other circumstances in which all cases of a rare condition also must be cases of a more common condition (in this analysis, “newly diagnosed cases of diabetes” and “cases of diabetes”). If appropriate data are available, our methods can be used to estimate proportion of the population with the rare condition at greater geographic specificity than the data source was designed to provide. PMID:26279666

A comparison of consumptive-use estimates derived from the simplified surface energy balance approach and indirect reporting methods

USGS Publications Warehouse

Maupin, Molly A.; Senay, Gabriel B.; Kenny, Joan F.; Savoca, Mark E.

2012-01-01

Recent advances in remote-sensing technology and Simplified Surface Energy Balance (SSEB) methods can provide accurate and repeatable estimates of evapotranspiration (ET) when used with satellite observations of irrigated lands. Estimates of ET are generally considered equivalent to consumptive use (CU) because they represent the part of applied irrigation water that is evaporated, transpired, or otherwise not available for immediate reuse. The U.S. Geological Survey compared ET estimates from SSEB methods to CU data collected for 1995 using indirect methods as part of the National Water Use Information Program (NWUIP). Ten-year (2000-2009) average ET estimates from SSEB methods were derived using Moderate Resolution Imaging Spectroradiometer (MODIS) 1-kilometer satellite land surface temperature and gridded weather datasets from the Global Data Assimilation System (GDAS). County-level CU estimates for 1995 were assembled and referenced to 1-kilometer grid cells to synchronize with the SSEB ET estimates. Both datasets were seasonally and spatially weighted to represent the irrigation season (June-September) and those lands that were identified in the county as irrigated. A strong relation (R2 greater than 0.7) was determined between NWUIP CU and SSEB ET data. Regionally, the relation is stronger in arid western states than in humid eastern states, and positive and negative biases are both present at state-level comparisons. SSEB ET estimates can play a major role in monitoring and updating county-based CU estimates by providing a quick and cost-effective method to detect major year-to-year changes at county levels, as well as providing a means to disaggregate county-based ET estimates to sub-county levels. More research is needed to identify the causes for differences in state-based relations.

Health-related quality of life among adults 65 years and older in the United States, 2011-2012: a multilevel small area estimation approach.

PubMed

Lin, Yu-Hsiu; McLain, Alexander C; Probst, Janice C; Bennett, Kevin J; Qureshi, Zaina P; Eberth, Jan M

2017-01-01

The purpose of this study was to develop county-level estimates of poor health-related quality of life (HRQOL) among aged 65 years and older U.S. adults and to identify spatial clusters of poor HRQOL using a multilevel, poststratification approach. Multilevel, random-intercept models were fit to HRQOL data (two domains: physical health and mental health) from the 2011-2012 Behavioral Risk Factor Surveillance System. Using a poststratification, small area estimation approach, we generated county-level probabilities of having poor HRQOL for each domain in U.S. adults aged 65 and older, and validated our model-based estimates against state and county direct estimates. County-level estimates of poor HRQOL in the United States ranged from 18.07% to 44.81% for physical health and 14.77% to 37.86% for mental health. Correlations between model-based and direct estimates were higher for physical than mental HRQOL. Counties located in the Arkansas, Kentucky, and Mississippi exhibited the worst physical HRQOL scores, but this pattern did not hold for mental HRQOL, which had the highest probability of mentally unhealthy days in Illinois, Indiana, and Vermont. Substantial geographic variation in physical and mental HRQOL scores exists among older U.S. adults. State and local policy makers should consider these local conditions in targeting interventions and policies to counties with high levels of poor HRQOL scores. Copyright © 2016 Elsevier Inc. All rights reserved.

Predicting county-level cancer incidence rates and counts in the United States

PubMed Central

Yu, Binbing

2018-01-01

Many countries, including the United States, publish predicted numbers of cancer incidence and death in current and future years for the whole country. These predictions provide important information on the cancer burden for cancer control planners, policymakers and the general public. Based on evidence from several empirical studies, the joinpoint (segmented-line linear regression) model has been adopted by the American Cancer Society to estimate the number of new cancer cases in the United States and in individual states since 2007. Recently, cancer incidence in smaller geographic regions such as counties and FIPS code regions is of increasing interest by local policymakers. The natural extension is to directly apply the joinpoint model to county-level cancer incidence data. The direct application has several drawbacks and its performance has not been evaluated. To address the concerns, we developed a spatial random-effects joinpoint model for county-level cancer incidence data. The proposed model was used to predict both cancer incidence rates and counts at the county level. The standard joinpoint model and the proposed method were compared through a validation study. The proposed method out-performed the standard joinpoint model for almost all cancer sites, especially for moderate or rare cancer sites and for counties with small population sizes. As an application, we predicted county-level prostate cancer incidence rates and counts for the year 2011 in Connecticut. PMID:23670947

Spatial-temporal models for improved county-level annual estimates

Treesearch

Francis Roesch

2009-01-01

The consumers of data derived from extensive forest inventories often seek annual estimates at a finer spatial scale than that which the inventory was designed to provide. This paper discusses a few model-based and model-assisted estimators to consider for county level attributes that can be applied when the sample would otherwise be inadequate for producing low-...

Physical Activity of Fifth to Sixth Graders during School Hours According to School Race/Ethnicity: Suburban Cook County, Illinois

ERIC Educational Resources Information Center

Kwon, Soyang; Mason, Maryann; Welch, Sarah

2015-01-01

Background: We compared moderate-to-vigorous intensity physical activity (MVPA) and inactivity levels among fifth and sixth graders during school hours according to school-level race/ethnicity and income attributes to inform school-based obesity interventions in Illinois Suburban Cook County (SCC). Methods: Fifth- and sixth-grade students…

Development of a community cancer education program: the Forsyth County, NC cervical cancer prevention project.

PubMed

Michielutte, R; Dignan, M B; Wells, H B; Young, L D; Jackson, D S; Sharp, P C

1989-01-01

The authors outline the development and implementation of a public health education program for cervical cancer screening among black women in Forsyth County, NC. The educational program includes distributing electronic and printed information media messages, a program of direct education for women, and providing information on current issues in cervical screening to primary-care physicians. Program development was based on social marketing principles, the PRECEDE model, and the communication-behavior change (CBC) model. Since a true experimental design was not feasible, program evaluation is based on several complementary quasi-experimental designs. Analysis of baseline data indicate that the county where the intervention is taking place, and the control county, are similar with respect to both demographic characteristics and the current level of screening activity. Preliminary results indicate that the program has been successful in raising women's level of awareness of cervical cancer and cervical screening.

A Comparative Analysis of the Validity of US State- and County-Level Social Capital Measures and Their Associations with Population Health

ERIC Educational Resources Information Center

Lee, Chul-Joo; Kim, Daniel

2013-01-01

The goals of this study were to validate a number of available collective social capital measures at the US state and county levels, and to examine the relative extent to which these social capital measures are associated with population health outcomes. Measures of social capital at the US state level included aggregate indices based on the…

Lead exposure and eclampsia in Britain, 1883-1934.

PubMed

Troesken, Werner

2006-07-01

Eclampsia refers to a coma or seizure activity in a pregnant woman with no prior history of such activity. This paper presents a mix of historical and epidemiological evidence consistent with the hypothesis that chronic lead exposure is a predisposing factor for eclampsia. The historical evidence is based on research conducted by British physicians around 1900 showing that the geographic variation in eclampsia across England and Wales was correlated with lead levels in local drinking water supplies. A formal epidemiological analysis based on a data set of English and Welsh counties observed in 1883 corroborates the evidence presented by historical observers. In particular, the statistical results show that the death rate from eclampsia in counties with high-water-lead levels exceeded the death rate in counties with low-water-lead levels by a factor of 2.34 (95% CI: 1.54-3.14).

Identifying county characteristics associated with resident well-being: A population based study.

PubMed

Roy, Brita; Riley, Carley; Herrin, Jeph; Spatz, Erica S; Arora, Anita; Kell, Kenneth P; Welsh, John; Rula, Elizabeth Y; Krumholz, Harlan M

2018-01-01

Well-being is a positively-framed, holistic assessment of health and quality of life that is associated with longevity and better health outcomes. We aimed to identify county attributes that are independently associated with a comprehensive, multi-dimensional assessment of individual well-being. We performed a cross-sectional study examining associations between 77 pre-specified county attributes and a multi-dimensional assessment of individual US residents' well-being, captured by the Gallup-Sharecare Well-Being Index. Our cohort included 338,846 survey participants, randomly sampled from 3,118 US counties or county equivalents. We identified twelve county-level factors that were independently associated with individual well-being scores. Together, these twelve factors explained 91% of the variance in individual well-being scores, and they represent four conceptually distinct categories: demographic (% black); social and economic (child poverty, education level [

Teen Births: A County-By-County Factbook. For Children for Ohio's Future.

ERIC Educational Resources Information Center

Hill, Susan

This Factbook provides state- and county-level statistical information on teen births in Ohio and discusses statewide trends from 1992 to 1996. The statistical portrait is based on 12 indicators: (1) number of infants born to teens; (2) teen birth rate; (3) repeat teen birth rate; (4) percentage of teen births to unmarried teens; (5) percentage of…

County-level racial prejudice and the black-white gap in infant health outcomes.

PubMed

Orchard, Jacob; Price, Joseph

2017-05-01

Black mothers are 60 percent more likely than white mothers to have preterm births and twice as likely to have a baby with low birth weight. We examine whether these black-white gaps in birth outcomes are larger in counties with higher levels of racial prejudice. We use data from the restricted-use natality files in the United States, which provide information on birth weight, gestation, and maternal characteristics for over 31 million births from 2002 to 2012, combined with county-level data measures of both explicit and implicit racial prejudice from Project Implicit from over a million individuals who took the Implicit Association Test during this same period. We compare counties that are one standard deviation above the mean (high prejudice) with those that are one standard deviation below the mean (low prejudice) in terms of their average level of racial prejudice. The black-white gap in low birth weight is 14 percent larger in counties with high implicit racial prejudice compared to counties with low prejudice. The black-white gap in preterm births is 29 percent larger in the high prejudice counties. The gaps are even larger when we use explicit measures of racial prejudice with high prejudice counties having a black-white gap that is 22 percent larger for low birth weight and 36 percent larger for preterm births. These relationships do not appear to be biased by the way the prejudice sample is constructed, since the racial gap in birth outcomes is unrelated to other county-level biases such as those based on gender or sexual orientation. The black-white gap in United States' birth outcomes is larger in those counties that have the highest levels of racial prejudice. This is true for both implicit and explicit racial prejudice, though the strength of the relationship is strongest for explicit racial prejudice. Copyright © 2017 Elsevier Ltd. All rights reserved.

Patterns of gun deaths across US counties 1999-2013.

PubMed

Kalesan, Bindu; Galea, Sandro

2017-05-01

We examined the socio-demographic distribution of gun deaths across 3143 counties in 50 United States' states to understand the spatial patterns and correlates of high and low gun deaths. We used aggregate counts of gun deaths and population in all counties from 1999 to 2013 from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (WONDER). We characterized four levels of gun violence, as distinct levels of gun death rates of relatively safe, unsafe, violent, and extremely violent counties, based on quartiles of 15-year county-specific gun death rates per 100,000 and used negative binomial regression models allowing clustering by state to calculate incidence rate ratios and 95% confidence intervals (95% CIs). Most states had at least one violent or extremely violent county. Extremely violent gun counties were mostly rural, poor, predominantly minority, had high unemployment rate and homicide rate. Overall, homicide rate was significantly associated with gun deaths (incidence rate ratios = 1.08, 95% CI = 1.06-1.09). In relatively safe counties, this risk was 1.09 (95% CI = 1.05-1.13) and in extremely violent gun counties was 1.03 (95% CI = 1.03-1.04). There are broad differences in gun death rates across the United States representing different levels of gun death rates in each state with distinct socio-demographic profiles. Copyright © 2017 Elsevier Inc. All rights reserved.

Economic stress and well-being: Does population health context matter?

PubMed

Probst, Tahira M; Sinclair, Robert R; Sears, Lindsay E; Gailey, Nicholas J; Black, Kristen Jennings; Cheung, Janelle H

2018-05-07

The purpose of this study was to investigate the role of county-level population health determinants in predicting individual employee reactions to economic stress. Using multilevel modeling and a population health perspective, we tested a model linking nationally representative individual-level data (N = 100,968) on exposure to economic stressors and county-level population health determinants (N = 3,026) to responses on a composite measure of individual well-being that included the facets of purpose, community, physical, and social well-being, as well as life satisfaction. Results indicate that higher income- and employment-related economic stress were significantly related to poorer well-being. Additionally, living in a county with more positive population health determinants was significantly predictive of individual well-being. Finally, the Level-1 relationship between income-related stress and well-being was significantly attenuated for individuals living in counties with more positive population health determinants. In contrast, employment-related stress had a stronger negative relationship with well-being for individuals who lived in counties with more positive population health determinants. We discuss these findings in light of conservation of resources and relative deprivation theories, as well as how they may extend the scientific foundation for evidence-based social policy and evidence-based intervention programs aimed at lessening the effects of economic stress on individual well-being. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

A descriptive analysis of change in eligibility status for the USDA Forest Service Economic Recovery Program

Treesearch

Krista M. Gebert; Susan L. Odell

2007-01-01

This report summarizes the results of a 2004 analysis of county-level eligibility for financial and technical assistance through the USDA Forest Service Economic Recovery program and contrasts those results to the initial eligibility analysis performed in 1993. County-level eligibility was based on three criteria: (1) proximity to a National Forest or National...

Connecting race and place: a county-level analysis of White, Black, and Hispanic HIV prevalence, poverty, and level of urbanization.

PubMed

Vaughan, Adam S; Rosenberg, Eli; Shouse, R Luke; Sullivan, Patrick S

2014-07-01

We evaluated the role of poverty in racial/ethnic disparities in HIV prevalence across levels of urbanization. Using national HIV surveillance data from the year 2009, we constructed negative binomial models, stratified by urbanization, with an outcome of race-specific, county-level HIV prevalence rates and covariates of race/ethnicity, poverty, and other publicly available data. We estimated model-based Black-White and Hispanic-White prevalence rate ratios (PRRs) across levels of urbanization and poverty. We observed racial/ethnic disparities for all strata of urbanization across 1111 included counties. Poverty was associated with HIV prevalence only in major metropolitan counties. At the same level of urbanization, Black-White and Hispanic-White PRRs were not statistically different from 1.0 at high poverty rates (Black-White PRR = 1.0, 95% confidence interval [CI] = 0.4, 2.9; Hispanic-White PRR = 0.4, 95% CI = 0.1, 1.6). In nonurban counties, racial/ethnic disparities remained after we controlled for poverty. The association between HIV prevalence and poverty varies by level of urbanization. HIV prevention interventions should be tailored to this understanding. Reducing racial/ethnic disparities will require multifactorial interventions linking social factors with sexual networks and individual risks.

La Materia. Nivel II. Basado en el curso de estudios de Ciencia de Montgomery County Public Schools. (Matter. Level II. Based on the Montgomery County Public Schools Science Studies Program).

ERIC Educational Resources Information Center

Gerstman, M. Linda

This curriculum unit is for use in an elementary school foreign language immersion program in Montgomery County, Maryland. The unit is geared toward the second grade science classroom. It includes instructional and performance objectives, vocabulary lists, optional language structure sections, illustrations, activities, evaluation suggestions, and…

The Efficacy of PCI's "Reading Program--Level One": A Report of a Randomized Experiment in Brevard Public Schools and Miami-Dade County Public Schools. Research Report

ERIC Educational Resources Information Center

Toby, Megan; Ma, Boya; Jaciw, Andrew; Cabalo, Jessica

2008-01-01

PCI Education sought scientifically based evidence on the effectiveness of the "PCI Reading Program--Level One" for students with severe disabilities. During the 2007-2008 academic year. Empirical Education conducted a randomized control trial (RCT) in two Florida districts, Brevard and Miami-Dade County Public Schools. For this…

The Efficacy of PCI's Reading Program--Level One: A Report of a Randomized Experiment in Brevard Public Schools and Miami-Dade County Public Schools. Research Summary

ERIC Educational Resources Information Center

Empirical Education Inc., 2008

2008-01-01

PCI Education sought scientifically based evidence on the effectiveness of the "PCI Reading Program--Level One" for students with severe disabilities. During the 2007-2008 academic year. Empirical Education conducted a randomized control trial (RCT) in two Florida districts, Brevard and Miami-Dade County Public Schools. For this…

Development of estimation method for crop yield using MODIS satellite imagery data and process-based model for corn and soybean in US Corn-Belt region

NASA Astrophysics Data System (ADS)

Lee, J.; Kang, S.; Jang, K.; Ko, J.; Hong, S.

2012-12-01

Crop productivity is associated with the food security and hence, several models have been developed to estimate crop yield by combining remote sensing data with carbon cycle processes. In present study, we attempted to estimate crop GPP and NPP using algorithm based on the LUE model and a simplified respiration model. The state of Iowa and Illinois was chosen as the study site for estimating the crop yield for a period covering the 5 years (2006-2010), as it is the main Corn-Belt area in US. Present study focuses on developing crop-specific parameters for corn and soybean to estimate crop productivity and yield mapping using satellite remote sensing data. We utilized a 10 km spatial resolution daily meteorological data from WRF to provide cloudy-day meteorological variables but in clear-say days, MODIS-based meteorological data were utilized to estimate daily GPP, NPP, and biomass. County-level statistics on yield, area harvested, and productions were used to test model predicted crop yield. The estimated input meteorological variables from MODIS and WRF showed with good agreements with the ground observations from 6 Ameriflux tower sites in 2006. For examples, correlation coefficients ranged from 0.93 to 0.98 for Tmin and Tavg ; from 0.68 to 0.85 for daytime mean VPD; from 0.85 to 0.96 for daily shortwave radiation, respectively. We developed county-specific crop conversion coefficient, i.e. ratio of yield to biomass on 260 DOY and then, validated the estimated county-level crop yield with the statistical yield data. The estimated corn and soybean yields at the county level ranged from 671 gm-2 y-1 to 1393 gm-2 y-1 and from 213 gm-2 y-1 to 421 gm-2 y-1, respectively. The county-specific yield estimation mostly showed errors less than 10%. Furthermore, we estimated crop yields at the state level which were validated against the statistics data and showed errors less than 1%. Further analysis for crop conversion coefficient was conducted for 200 DOY and 280 DOY. For the case of 280 DOY, Crop yield estimation showed better accuracy for soybean at county level. Though the case of 200 DOY resulted in less accuracy (i.e. 20% mean bias), it provides a useful tool for early forecasting of crop yield. We improved the spatial accuracy of estimated crop yield at county level by developing county-specific crop conversion coefficient. Our results indicate that the aboveground crop biomass can be estimated successfully with the simple LUE and respiration models combined with MODIS data and then, county-specific conversion coefficient can be different with each other across different counties. Hence, applying region-specific conversion coefficient is necessary to estimate crop yield with better accuracy.

County-level determinants of dental utilization for Medicaid-enrolled children with chronic conditions: How does place affect use?

PubMed Central

Chi, Donald L.; Leroux, Brian

2013-01-01

Little is known about how place affects childrens’ access to dental care. We analyzed data for 25,908 Iowa Medicaid-enrolled children with chronic conditions to identify the county-level determinants of dental utilization. Our analyses suggest that higher levels of poverty and designation as a dental health professional shortage area at the county-level are associated with lower probability of child-level dental use. There are significant interactions between child-level race/ethnicity and county-level poverty as well as between child-level disability and county-level unemployment. We present a new descriptive model on dental utilization that emphasizes county-level factors as well as interactions between county-level and child-level factors. PMID:22981229

Hydrographs showing groundwater levels for selected wells in the Puyallup River watershed and vicinity, Pierce and King Counties, Washington

USGS Publications Warehouse

Lane, R.C.; Julich, R.J.; Justin, G.B.

2013-01-01

Hydrographs of groundwater levels for selected wells in and adjacent to the Puyallup River watershed in Pierce and King Counties, Washington, are presented using an interactive Web-based map of the study area to illustrate changes in groundwater levels on a monthly and seasonal basis. The interactive map displays well locations that link to the hydrographs, which in turn link to the U.S. Geological Survey National Water Information System, Groundwater Site Inventory System.

U.S. congressional district cancer death rates.

PubMed

Hao, Yongping; Ward, Elizabeth M; Jemal, Ahmedin; Pickle, Linda W; Thun, Michael J

2006-06-23

Geographic patterns of cancer death rates in the U.S. have customarily been presented by county or aggregated into state economic or health service areas. Herein, we present the geographic patterns of cancer death rates in the U.S. by congressional district. Many congressional districts do not follow state or county boundaries. However, counties are the smallest geographical units for which death rates are available. Thus, a method based on the hierarchical relationship of census geographic units was developed to estimate age-adjusted death rates for congressional districts using data obtained at county level. These rates may be useful in communicating to legislators and policy makers about the cancer burden and potential impact of cancer control in their jurisdictions. Mortality data were obtained from the National Center for Health Statistics (NCHS) for 1990-2001 for 50 states, the District of Columbia, and all counties. We computed annual average age-adjusted death rates for all cancer sites combined, the four major cancers (lung and bronchus, prostate, female breast, and colorectal cancer) and cervical cancer. Cancer death rates varied widely across congressional districts for all cancer sites combined, for the four major cancers, and for cervical cancer. When examined at the national level, broad patterns of mortality by sex, race and region were generally similar with those previously observed based on county and state economic area. We developed a method to generate cancer death rates by congressional district using county-level mortality data. Characterizing the cancer burden by congressional district may be useful in promoting cancer control and prevention programs, and persuading legislators to enact new cancer control programs and/or strengthening existing ones. The method can be applied to state legislative districts and other analyses that involve data aggregation from different geographic units.

U.S. congressional district cancer death rates

PubMed Central

Hao, Yongping; Ward, Elizabeth M; Jemal, Ahmedin; Pickle, Linda W; Thun, Michael J

2006-01-01

Background Geographic patterns of cancer death rates in the U.S. have customarily been presented by county or aggregated into state economic or health service areas. Herein, we present the geographic patterns of cancer death rates in the U.S. by congressional district. Many congressional districts do not follow state or county boundaries. However, counties are the smallest geographical units for which death rates are available. Thus, a method based on the hierarchical relationship of census geographic units was developed to estimate age-adjusted death rates for congressional districts using data obtained at county level. These rates may be useful in communicating to legislators and policy makers about the cancer burden and potential impact of cancer control in their jurisdictions. Results Mortality data were obtained from the National Center for Health Statistics (NCHS) for 1990–2001 for 50 states, the District of Columbia, and all counties. We computed annual average age-adjusted death rates for all cancer sites combined, the four major cancers (lung and bronchus, prostate, female breast, and colorectal cancer) and cervical cancer. Cancer death rates varied widely across congressional districts for all cancer sites combined, for the four major cancers, and for cervical cancer. When examined at the national level, broad patterns of mortality by sex, race and region were generally similar with those previously observed based on county and state economic area. Conclusion We developed a method to generate cancer death rates by congressional district using county-level mortality data. Characterizing the cancer burden by congressional district may be useful in promoting cancer control and prevention programs, and persuading legislators to enact new cancer control programs and/or strengthening existing ones. The method can be applied to state legislative districts and other analyses that involve data aggregation from different geographic units. PMID:16796732

Estimating regional plant biodiversity with GIS modelling

Treesearch

Louis R. Iverson; Anantha M. Prasad; Anantha M. Prasad

1998-01-01

We analyzed a statewide species database together with a county-level geographic information system to build a model based on well-surveyed areas to estimate species richness in less surveyed counties. The model involved GIS (Arc/Info) and statistics (S-PLUS), including spatial statistics (S+SpatialStats).

Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system

Treesearch

Kristofer D. Johnson; Richard Birdsey; Andrew O Finley; Anu Swantaran; Ralph Dubayah; Craig Wayson; Rachel Riemann

2014-01-01

Forest Inventory and Analysis (FIA) data may be a valuable component of a LIDAR-based carbon monitoring system, but integration of the two observation systems is not without challenges. To explore integration methods, two wall-to-wall LIDAR-derived biomass maps were compared to FIA data at both the plot and county levels in Anne Arundel and Howard Counties in Maryland...

[Vulnerability of eco-economy in northern slope region of Tianshan Mountains].

PubMed

Wu, Jian-zhai; Li, Bo; Zhang, Xin-shi; Zhao, Wen-wu; Jiang, Guang-hui

2008-04-01

Based on the theoretical meaning of vulnerability, a vulnerability assessment of eco-econom in fifteen counties in the northern slope region of Tianshan Mountains was conducted. The ecosystem services change to land use was regarded as the impact, and based on the fourteen indices from resource holding, society development, and economy development statistic data, the adaptive ability was evaluated by using the methods of analytic hierarchy process (AHP) and fuzzy synthetic evaluation. On the basis of assessment results of impact and adaptive capacity, the fifteen counties were divided into five classes under the assessment principles, and the district with higher-class number was of more vulnerability. The first class included Usu City and Changji City, the second class included Hutubi County, Miquan County, Fukang City, Jimsar County, Qitai County and Mori Kazak Autonomous County, the third class included Karamay City and Urumqi City, the fourth class included Kuitun City and Shawan County, and the fifth class included Jinghe County, Shihezi City and Manas County. The vulnerability reflected the level of eco-environment change and socioeconomic development, and the vulnerability assessment could be a good way to ensure the sustainable development. Aiming to decrease the vulnerability, various districts belonging to different class of vulnerability should establish relevant tactics according to the vulnerability factors to accelerate the region's sustainable development.

The Effect of Administrative Boundaries and Geocoding Error on Cancer Rates in California

PubMed Central

Goldberg, Daniel W.; Cockburn, Myles G.

2012-01-01

Geocoding is often used to produce maps of disease rates from the diagnosis addresses of incident cases to assist with disease surveillance, prevention, and control. In this process, diagnosis addresses are converted into latitude/longitude pairs which are then aggregated to produce rates at varying geographic scales such as Census tracts, neighborhoods, cities, counties, and states. The specific techniques used within geocoding systems have an impact on where the output geocode is located and can therefore have an effect on the derivation of disease rates at different geographic aggregations. This paper investigates how county-level cancer rates are affected by the choice of interpolation method when case data are geocoded to the ZIP code level. Four commonly used areal unit interpolation techniques are applied and the output of each is used to compute crude county-level five-year incidence rates of all cancers in California. We found that the rates observed for 44 out of the 58 counties in California vary based on which interpolation method is used, with rates in some counties increasing by nearly 400% between interpolation methods. PMID:22469490

Changes in Disparity in County-Level Diagnosed Diabetes Prevalence and Incidence in the United States, between 2004 and 2012

PubMed Central

Gregg, Edward W.; Beckles, Gloria L.; Luman, Elizabeth T.; Barker, Lawrence E.; Geiss, Linda S.

2016-01-01

Background In recent decades, the United States experienced increasing prevalence and incidence of diabetes, accompanied by large disparities in county-level diabetes prevalence and incidence. However, whether these disparities are widening, narrowing, or staying the same has not been studied. We examined changes in disparity among U.S. counties in diagnosed diabetes prevalence and incidence between 2004 and 2012. Methods We used 2004 and 2012 county-level diabetes (type 1 and type 2) prevalence and incidence data, along with demographic, socio-economic, and risk factor data from various sources. To determine whether disparities widened or narrowed over the time period, we used a regression-based β-convergence approach, accounting for spatial autocorrelation. We calculated diabetes prevalence/incidence percentage point (ppt) changes between 2004 and 2012 and modeled these changes as a function of baseline diabetes prevalence/incidence in 2004. Covariates included county-level demographic and, socio-economic data, and known type 2 diabetes risk factors (obesity and leisure-time physical inactivity). Results For each county-level ppt increase in diabetes prevalence in 2004 there was an annual average increase of 0.02 ppt (p<0.001) in diabetes prevalence between 2004 and 2012, indicating a widening of disparities. However, after accounting for covariates, diabetes prevalence decreased by an annual average of 0.04 ppt (p<0.001). In contrast, changes in diabetes incidence decreased by an average of 0.04 ppt (unadjusted) and 0.09 ppt (adjusted) for each ppt increase in diabetes incidence in 2004, indicating a narrowing of county-level disparities. Conclusions County-level disparities in diagnosed diabetes prevalence in the United States widened between 2004 and 2012, while disparities in incidence narrowed. Accounting for demographic and, socio-economic characteristics and risk factors for type 2 diabetes narrowed the disparities, suggesting that these factors are strongly associated with changes in disparities. Public health interventions that target modifiable risk factors, such as obesity and physical inactivity, in high burden counties might further reduce disparities in incidence and, over time, in prevalence. PMID:27487006

Potentiometric Surface of the Aquia Aquifer in Southern Maryland, September 2009

USGS Publications Warehouse

Curtin, Stephen E.; Andreasen, David C.; Staley, Andrew W.

2010-01-01

This report presents a map showing the potentiometric surface of the Aquia aquifer in the Aquia Formation of Paleocene age in Southern Maryland during September 2009. The map is based on water-level measurements in 82 wells. The highest measured water level was 48 feet above sea level near the northern boundary and in the outcrop area of the aquifer in the central part of Anne Arundel County. Water levels also were above sea level in Kent County and northern Queen Anne's County. Water levels were below sea level south and east of these areas and in the remainder of the study area. The hydraulic gradient increased southeastward toward a cone of depression around well fields at Lexington Park and Solomons Island. The lowest measured water level was 145 feet below sea level at the center of a cone of depression at Lexington Park. The map also shows well yield in gallons per day for 2008 at wells or well fields.

Crisis & Commitment: 150 Years of Service by Los Angeles County Public Hospitals

PubMed Central

Cousineau, Michael R.; Tranquada, Robert E.

2007-01-01

The Los Angeles County University of Southern California Medical Center will open soon, replacing the county’s current 74-year-old facility with a modern, although smaller, facility. Los Angeles County has provided hospital care to the indigent since 1858, during which time, the operation of public hospitals has shifted from a state-mandated welfare responsibility to a preeminent part of the county’s public health mission. As this shift occurred, the financing of Los Angeles County hospitals changed from primarily county support to state and federal government sources, particularly Medicaid. The success of the new hospital will depend on whether government leaders at all levels provide the reforms needed to help the county and its partners stabilize its funding base. PMID:17329642

Association Between Loss of Hospital-Based Obstetric Services and Birth Outcomes in Rural Counties in the United States.

PubMed

Kozhimannil, Katy B; Hung, Peiyin; Henning-Smith, Carrie; Casey, Michelle M; Prasad, Shailendra

2018-03-27

Hospital-based obstetric services have decreased in rural US counties, but whether this has been associated with changes in birth location and outcomes is unknown. To examine the relationship between loss of hospital-based obstetric services and location of childbirth and birth outcomes in rural counties. A retrospective cohort study, using county-level regression models in an annual interrupted time series approach. Births occurring from 2004 to 2014 in rural US counties were identified using birth certificates linked to American Hospital Association Annual Surveys. Participants included 4 941 387 births in all 1086 rural counties with hospital-based obstetric services in 2004. Loss of hospital-based obstetric services in the county of maternal residence, stratified by adjacency to urban areas. Primary outcomes were county rates of (1) out-of-hospital births; (2) births in hospitals without obstetric units; and (3) preterm births (<37 weeks' gestation). Between 2004 and 2014, 179 rural counties lost hospital-based obstetric services. Of the 4 941 387 births studied, the mean (SD) maternal age was 26.2 (5.8) years. A mean (SD) of 75.9% (23.2%) of women who gave birth were non-Hispanic white, and 49.7% (15.6%) were college graduates. Rural counties not adjacent to urban areas that lost hospital-based obstetric services had significant increases in out-of-hospital births (0.70 percentage points [95% CI, 0.30 to 1.10]); births in a hospital without an obstetric unit (3.06 percentage points [95% CI, 2.66 to 3.46]); and preterm births (0.67 percentage points [95% CI, 0.02 to 1.33]), in the year after loss of services, compared with those with continual obstetric services. Rural counties adjacent to urban areas that lost hospital-based obstetric services also had significant increases in births in a hospital without obstetric services (1.80 percentage points [95% CI, 1.55 to 2.05]) in the year after loss of services, compared with those with continual obstetric services, and this was followed by a decreasing trend (-0.19 percentage points per year [95% CI, -0.25 to -0.14]). In rural US counties not adjacent to urban areas, loss of hospital-based obstetric services, compared with counties with continual services, was associated with increases in out-of-hospital and preterm births and births in hospitals without obstetric units in the following year; the latter also occurred in urban-adjacent counties. These findings may inform planning and policy regarding rural obstetric services.

Impacts of supplyshed-level differences in productivity and land Costs on the economics of hybrid poplar production in Minnesota, USA

Treesearch

William Lazarus; William L. Headlee; Ronald S. Zalesny

2015-01-01

The joint effects of poplar biomass productivity and land costs on poplar production economics were compared for 12 Minnesota counties and two genetic groups, using a process-based model (3-PG) to estimate productivity. The counties represent three levels of productivity and a range of land costs (annual rental rates) from $128/ha to $534/ha. An optimal rotation age...

Performance-based financing contributes to the resilience of health services affected by the Liberian Ebola outbreak

PubMed Central

Mapleh, L.; Ade, S.; Harries, A. D.; Bhat, P.; Kateh, F.; Dahn, B.

2017-01-01

Setting: The Liberian counties of Bong, with performance-based financing (PBF) for all 36 public primary-care facilities, and Margibi, with no PBF for its 24 public primary-care facilities. Objective: To compare whether specific maternal and child health indicators changed in the two counties during the pre-Ebola (2013), Ebola (2014) and post-Ebola (2015) disease outbreak periods from July to September each year. Design: This was a cross-sectional study. Results: For pregnant women, the numbers of antenatal visits, intermittent preventive malaria treatments, human immunodeficiency virus (HIV) tests and facility-based births with skilled attendants all fell during the Ebola period, with decreases being significantly more marked in Margibi County. Apart from HIV testing, which remained low in both counties, these indicators increased in the post-Ebola period, with increases significantly more marked in Bong than in Margibi. The number of childhood immunisations decreased significantly in Bong in the Ebola period compared with the pre-Ebola period, but increased to above pre-Ebola levels in the post-Ebola period. There were markedly larger decreases in childhood immunisations in Margibi County during the Ebola period, which remained significantly lower in the post-Ebola period compared with Bong County. Conclusion: In a PBF-supported county, selected maternal and childhood health indicators showed less deterioration during Ebola and better recovery post-Ebola than in a non-PBF-supported county. PMID:28744447

Performance-based financing contributes to the resilience of health services affected by the Liberian Ebola outbreak.

PubMed

Mussah, V G; Mapleh, L; Ade, S; Harries, A D; Bhat, P; Kateh, F; Dahn, B

2017-06-21

Setting: The Liberian counties of Bong, with performance-based financing (PBF) for all 36 public primary-care facilities, and Margibi, with no PBF for its 24 public primary-care facilities. Objective: To compare whether specific maternal and child health indicators changed in the two counties during the pre-Ebola (2013), Ebola (2014) and post-Ebola (2015) disease outbreak periods from July to September each year. Design: This was a cross-sectional study. Results: For pregnant women, the numbers of antenatal visits, intermittent preventive malaria treatments, human immunodeficiency virus (HIV) tests and facility-based births with skilled attendants all fell during the Ebola period, with decreases being significantly more marked in Margibi County. Apart from HIV testing, which remained low in both counties, these indicators increased in the post-Ebola period, with increases significantly more marked in Bong than in Margibi. The number of childhood immunisations decreased significantly in Bong in the Ebola period compared with the pre-Ebola period, but increased to above pre-Ebola levels in the post-Ebola period. There were markedly larger decreases in childhood immunisations in Margibi County during the Ebola period, which remained significantly lower in the post-Ebola period compared with Bong County. Conclusion: In a PBF-supported county, selected maternal and childhood health indicators showed less deterioration during Ebola and better recovery post-Ebola than in a non-PBF-supported county.

Effects of sanitary sewers on ground-water levels and streams in Nassau and Suffolk Counties, New York; Part 2, development and application of southwest Suffolk County model

USGS Publications Warehouse

Buxton, H.T.; Reilly, T.E.

1985-01-01

By 1990, sanitary sewers in Nassau County Sewage Disposal Districts 2 and 3 and Suffolk County Southwest Sewer District will discharge to the ocean 140 cu ft of water/sec that would otherwise be returned to the groundwater system through septic tanks and similar systems. To evaluate the effects of this loss on groundwater levels and streamflow, the U.S. Geological Survey developed a groundwater flow model that couples a fine-scale subregional model to a regional model of larger scale. The regional model generates flux boundary conditions for the subregional model, and the subregional model provides detail in the area of concern. Results indicate that the water table will decline by as much as 8 ft along the Suffolk-Nassau county line, with effects decreasing eastward. Base flow is predicted to decrease by as much as 73% in a stream along the county line, but this effect will decrease to zero just east of the sewered area. This report is one of a series describing the predicted hydrologic effects of sewers in southern Nassau and southwest Suffolk Counties. (USGS)

Association between community health center and rural health clinic presence and county-level hospitalization rates for ambulatory care sensitive conditions: an analysis across eight US states.

PubMed

Probst, Janice C; Laditka, James N; Laditka, Sarah B

2009-07-31

Federally qualified community health centers (CHCs) and rural health clinics (RHCs) are intended to provide access to care for vulnerable populations. While some research has explored the effects of CHCs on population health, little information exists regarding RHC effects. We sought to clarify the contribution that CHCs and RHCs may make to the accessibility of primary health care, as measured by county-level rates of hospitalization for ambulatory care sensitive (ACS) conditions. We conducted an ecologic analysis of the relationship between facility presence and county-level hospitalization rates, using 2002 discharge data from eight states within the US (579 counties). Counties were categorized by facility availability: CHC(s) only, RHC(s) only, both (CHC and RHC), and neither. US Agency for Healthcare Research and Quality definitions were used to identify ACS diagnoses. Discharge rates were based on the individual's county of residence and were obtained by dividing ACS hospitalizations by the relevant county population. We calculated ACS rates separately for children, working age adults, and older individuals, and for uninsured children and working age adults. To ensure stable rates, we excluded counties having fewer than 1,000 residents in the child or working age adult categories, or 500 residents among those 65 and older. Multivariate Poisson analysis was used to calculate adjusted rate ratios. Among working age adults, rate ratio (RR) comparing ACS hospitalization rates for CHC-only counties to those of counties with neither facility was 0.86 (95% Confidence Interval, CI, 0.78-0.95). Among older adults, the rate ratio for CHC-only counties compared to counties with neither facility was 0.84 (CI 0.81-0.87); for counties with both CHC and RHC present, the RR was 0.88 (CI 0.84-0.92). No CHC/RHC effects were found for children. No effects were found on estimated hospitalization rates among uninsured populations. Our results suggest that CHCs and RHCs may play a useful role in providing access to primary health care. Their presence in a county may help to limit the county's rate of hospitalization for ACS diagnoses, particularly among older people.

Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999-2009.

PubMed

Rossen, Lauren M; Khan, Diba; Warner, Margaret

2013-12-01

Drug poisoning mortality has increased substantially in the U.S. over the past 3 decades. Previous studies have described state-level variation and urban-rural differences in drug-poisoning deaths, but variation at the county level has largely not been explored in part because crude county-level death rates are often highly unstable. The goal of the study was to use small-area estimation techniques to produce stable county-level estimates of age-adjusted death rates (AADR) associated with drug poisoning for the U.S., 1999-2009, in order to examine geographic and temporal variation. Population-based observational study using data on 304,087 drug-poisoning deaths in the U.S. from the 1999-2009 National Vital Statistics Multiple Cause of Death Files (analyzed in 2012). Because of the zero-inflated and right-skewed distribution of drug-poisoning death rates, a two-stage modeling procedure was used in which the first stage modeled the probability of observing a death for a given county and year, and the second stage modeled the log-transformed drug-poisoning death rate given that a death occurred. Empirical Bayes estimates of county-level drug-poisoning death rates were mapped to explore temporal and geographic variation. Only 3% of counties had drug-poisoning AADRs greater than ten per 100,000 per year in 1999-2000, compared to 54% in 2008-2009. Drug-poisoning AADRs grew by 394% in rural areas compared to 279% for large central metropolitan counties, but the highest drug-poisoning AADRs were observed in central metropolitan areas from 1999 to 2009. There was substantial geographic variation in drug-poisoning mortality across the U.S. Published by American Journal of Preventive Medicine on behalf of American Journal of Preventive Medicine.

Trends in Suicide by Level of Urbanization - United States, 1999-2015.

PubMed

Kegler, Scott R; Stone, Deborah M; Holland, Kristin M

2017-03-17

Suicide is a major and continuing public health concern in the United States. During 1999-2015, approximately 600,000 U.S. residents died by suicide, with the highest annual rate occurring in 2015 (1). Annual county-level mortality data from the National Vital Statistics System (NVSS) and annual county-level population data from the U.S. Census Bureau were used to analyze suicide rate trends during 1999-2015, with special emphasis on comparing more urban and less urban areas. U.S. counties were grouped by level of urbanization using a six-level classification scheme. To evaluate rate trends, joinpoint regression methodology was applied to the time-series data for each level of urbanization. Suicide rates significantly increased over the study period for all county groupings and accelerated significantly in 2007-2008 for the medium metro, small metro, and non-metro groupings. Understanding suicide trends by urbanization level can help identify geographic areas of highest risk and focus prevention efforts. Communities can benefit from implementing policies, programs, and practices based on the best available evidence regarding suicide prevention and key risk factors. Many approaches are applicable regardless of urbanization level, whereas certain strategies might be particularly relevant in less urban areas affected by difficult economic conditions, limited access to helping services, and social isolation.

Stroke mortality in Tennessee: an eco-epidemiologic perspective.

PubMed

Flowers, Joanne; Vutla, Balaji; Aldrich, Tim E

2008-04-01

Prevention of stroke mortality in Tennessee is a statewide public health priority. These analyses describe how the distribution of Caucasian stroke mortality is greater among the state's Appalachian Counties. For African-American residents, the elevated stroke mortality risk is not distinctive for geographic regions, although Upper East Tennessee rates are elevated. If the Caucasian criteria for assigning "high" rates were used with African-American stroke mortality data, the entire state would be designated as having elevated levels for stroke mortality. Race-gender specific analyses at the county-level (ecological attributes) illustrate the greater risks for "high" county-level stroke mortality rates are present for urban and poor communities in our state. African-American males are a clear exception, where the poorer, rural communities show a protective effect for "high" county-level stroke mortality rates. We support implementing stroke prevention programming and public health interventions based on the mortality data distributions; compatible statewide initiatives are underway We recommend strategic over-sampling of the state's priority populations for stroke risk to facilitate the monitoring of prevention and intervention program impacts over time.

School Context Matters: The Impacts of Concentrated Poverty and Racial Segregation on Childhood Obesity.

PubMed

Piontak, Joy Rayanne; Schulman, Michael D

2016-12-01

Schools are important sites for interventions to prevent childhood obesity. This study examines how variables measuring the socioeconomic and racial composition of schools and counties affect the likelihood of obesity among third to fifth grade children. Body mass index data were collected from third to fifth grade public school students by teachers from 317 urban and rural North Carolina schools in 38 counties. Multilevel models are used to examine county-, school-, and individual-level effects. Low concentrations of poverty at the school level are associated with lower odds of obesity. Schools in rural counties had significantly higher rates of obesity, net the other variables in the model. Students in minority-segregated schools had higher rates of obesity than those in more racially diverse schools, but the effect was not statistically significant once school-level poverty was controlled. Place-based inequalities are important determinants of health inequalities. The results of this study show that school-level variables related to poverty are important for understanding and confronting childhood obesity. © 2016, American School Health Association.

Geographic Accessibility of Pulmonologists for Adults With COPD: United States, 2013.

PubMed

Croft, Janet B; Lu, Hua; Zhang, Xingyou; Holt, James B

2016-09-01

Geographic clusters in prevalence and hospitalizations for COPD have been identified at national, state, and county levels. The study objective is to identify county-level geographic accessibility to pulmonologists for adults with COPD. Service locations of 12,392 practicing pulmonologists and 248,160 primary care physicians were identified from the 2013 National Provider Identifier Registry and weighted by census block-level populations within a series of circular distance buffer zones. Model-based county-level population counts of US adults ≥ 18 years of age with COPD were estimated from the 2013 Behavioral Risk Factor Surveillance System. The percentages of all estimated adults with potential access to at least one provider type and the county-level ratio of adults with COPD per pulmonologist were estimated for selected distances. Most US adults (100% in urbanized areas, 99.5% in urban clusters, and 91.7% in rural areas) had geographic access to a primary care physician within a 10-mile buffer distance; almost all (≥ 99.9%) had access to a primary care physician within 50 miles. At least one pulmonologist within 10 miles was available for 97.5% of US adults living in urbanized areas, but only for 38.3% in urban clusters and 34.5% in rural areas. When distance increased to 50 miles, at least one pulmonologist was available for 100% in urbanized areas, 93.2% in urban clusters, and 95.2% in rural areas. County-level ratios of adults with COPD per pulmonologist varied greatly across the United States, with residents in many counties in the Midwest having no pulmonologist within 50 miles. County-level geographic variations in pulmonologist access for adults with COPD suggest that those adults with limited access will have to depend on care from primary care physicians. Published by Elsevier Inc.

Map showing the potentiometric surface of the Magothy Aquifer in southern Maryland, August 1980

USGS Publications Warehouse

Mack, Frederick K.; Wheeler, Judith C.; Curtin, Stephen E.

1981-01-01

This map is based on measurements made in a network of 77 observation wells. Highest levels of the potentiometric surface, 61 to 64 feet above sea level, were near the outcrop or subcrop of the aquifer in topographically high areas of Anne Arundel and northern Prince Georges Counties. The potentiometric surface slopes toward centers of pumpage near Annapolis, in northern Charles County, and southern Prince Georges County. Two separate , distinct, and extensive cones of depression have developed in the surface around the well fields of Waldorf, in northern Charles County, and the Chalk Point power plant, in southern Prince Georges County. The cone of depression in the Annapolis area has coalesced with a more shallow cone that includes the Broadneck Peninsula. The network of wells was developed and is operated and maintained as part of the cooperative program between the U.S. Geological Survey and agencies of the Maryland Department of Natural Resources. (USGS)

Analyzing effective municipal solid waste recycling programs: the case of county-level MSW recycling performance in Florida, USA.

PubMed

Park, Seejeen; Berry, Frances S

2013-09-01

Municipal solid waste (MSW) recycling performance, both nationally and in Florida, USA, has shown little improvement during the past decade. This research examines variations in the MSW recycling program performance in Florida counties in an attempt to identify effective recycling programs. After reviewing trends in the MSW management literature, we conducted an empirical analysis using cross-sectional multiple regression analysis. The findings suggest that the convenience-based hypothesis was supported by showing that curbside recycling had a positive effect on MSW recycling performance. Financial (cost-saving) incentive-based hypotheses were partially supported meaning that individual level incentives can influence recycling performance. Citizen environmental concern was found to positively affect the amount of county recycling, while education and political affiliation yielded no significant results. In conclusion, this article discusses the implications of the findings for both academic research and practice of MSW recycling programs.

The effect of administrative boundaries and geocoding error on cancer rates in California.

PubMed

Goldberg, Daniel W; Cockburn, Myles G

2012-04-01

Geocoding is often used to produce maps of disease rates from the diagnosis addresses of incident cases to assist with disease surveillance, prevention, and control. In this process, diagnosis addresses are converted into latitude/longitude pairs which are then aggregated to produce rates at varying geographic scales such as Census tracts, neighborhoods, cities, counties, and states. The specific techniques used within geocoding systems have an impact on where the output geocode is located and can therefore have an effect on the derivation of disease rates at different geographic aggregations. This paper investigates how county-level cancer rates are affected by the choice of interpolation method when case data are geocoded to the ZIP code level. Four commonly used areal unit interpolation techniques are applied and the output of each is used to compute crude county-level five-year incidence rates of all cancers in California. We found that the rates observed for 44 out of the 58 counties in California vary based on which interpolation method is used, with rates in some counties increasing by nearly 400% between interpolation methods. Copyright © 2012 Elsevier Ltd. All rights reserved.

Groundwater level and specific conductance monitoring at Marine Corps Base, Camp Lejeune, Onslow County, North Carolina, 2007-2008

USGS Publications Warehouse

McSwain, Kristen Bukowski

2010-01-01

The U.S. Geological Survey, in cooperation with the Marine Corps Base, Camp Lejeune, monitored water-resources conditions in the surficial, Castle Hayne, Peedee, and Black Creek aquifers in Onslow County, North Carolina, from November 2007 through September 2008. To comply with North Carolina Central Coastal Plain Capacity Use Area regulations, large-volume water suppliers in Onslow County must reduce their dependency on the Black Creek aquifer as a water-supply source and have, instead, proposed using the Castle Hayne aquifer as an alternative water-supply source. The Marine Corps Base, Camp Lejeune, uses water obtained from the unregulated surficial and Castle Hayne aquifers for drinking-water supply. Water-level data were collected and field measurements of physical properties were made at 19 wells at 8 locations spanning the Marine Corps Base, Camp Lejeune. These wells were instrumented with near real-time monitoring equipment to collect hourly measurements of water level. Additionally, specific conductance and water temperature were measured hourly in 16 of the 19 wells. Graphs are presented relating altitude of groundwater level to water temperature and specific conductance measurements collected during the study, and the relative vertical gradients between aquifers are discussed. The period-of-record normal (25th to 75th percentile) monthly mean groundwater levels at two well clusters were compared to median monthly mean groundwater levels at these same well clusters for 2008 to determine groundwater-resources conditions. In 2008, water levels were below normal in the 3 wells at one of the well clusters and were normal in 4 wells at the other cluster.

[Study on manpower allocation criteria of center of disease prevention and control in the context of province level, city level and county level].

PubMed

Luo, Li; Waang, Ying; Sun, Mei; Su, Zhong-Xin; Ma, Ning; Xie, Hongbin; Wang, Weicheng; Yu, Jingjin; Yu, Mingzhu; Duan, Yong; Gong, Xiangguang; Chen, Zheng; Wang, Hua; Shi, Peiwu; Liang, Zhankai; Yang, Feng; Wang, Dunzhi; Yue, Jianning; Luo, Shi; Hao, Mo

2006-01-01

To set the manpower allocation criteria of center of disease prevention and control. Expected allocation manpower criteria was obtained through adjusting the current manpower allocation of disease prevention and control centers. The principle was to fulfill public function and promote professional efficiency. Based on function requirement, in 3 - 5 years, the manpower allocation criteria of center of disease prevention and control at provincial-level is 336 persons, at city-level is 102 persons, and at county-level is 33 persons, that means in whole country 140016 persons should be needed. In 10 years, the manpower allocation criteria of center of disease prevention and control at provincial-level is 386 persons, at city-level is 112 persons, and at county-level is 38 persons, that means in whole country 159086 persons should be needed. The manpower allocation criteria advanced in the study indicated that current manpower quantity should be greatly reduced. It is an inevitable trend that disease prevention and control centers reduce the staff quantity and promote their quality.

Characterizing heterogeneity of disease incidence in a spatial hierarchy: a case study from a decade of observations of fusarium head blight of wheat.

PubMed

Kriss, A B; Paul, P A; Madden, L V

2012-09-01

A multilevel analysis of heterogeneity of disease incidence was conducted based on observations of Fusarium head blight (caused by Fusarium graminearum) in Ohio during the 2002-11 growing seasons. Sampling consisted of counting the number of diseased and healthy wheat spikes per 0.3 m of row at 10 sites (about 30 m apart) in a total of 67 to 159 sampled fields in 12 to 32 sampled counties per year. Incidence was then determined as the proportion of diseased spikes at each site. Spatial heterogeneity of incidence among counties, fields within counties, and sites within fields and counties was characterized by fitting a generalized linear mixed model to the data, using a complementary log-log link function, with the assumption that the disease status of spikes was binomially distributed conditional on the effects of county, field, and site. Based on the estimated variance terms, there was highly significant spatial heterogeneity among counties and among fields within counties each year; magnitude of the estimated variances was similar for counties and fields. The lowest level of heterogeneity was among sites within fields, and the site variance was either 0 or not significantly greater than 0 in 3 of the 10 years. Based on the variances, the intracluster correlation of disease status of spikes within sites indicated that spikes from the same site were somewhat more likely to share the same disease status relative to spikes from other sites, fields, or counties. The estimated best linear unbiased predictor (EBLUP) for each county was determined, showing large differences across the state in disease incidence (as represented by the link function of the estimated probability that a spike was diseased) but no consistency between years for the different counties. The effects of geographical location, corn and wheat acreage per county, and environmental conditions on the EBLUP for each county were not significant in the majority of years.

Report of Block Field Experience at Jefferson County Department of Health Bureau of Nutrition, Birmingham, Alabama.

DTIC Science & Technology

1985-01-01

Despite the recent economic growth of Jefferson County, poverty * still abounds. In 1980, 12% of the families lived below the poverty level and some...residents with the charge for services being based on a sliding fee scale. Those at or below 150% of poverty level are charged only a minimum fee. F...be at risk? 1. Poor dietary calcium intake - average intake for American women is less than 500 grams per day. 2. Smoking - nicotine hurries the

7. BULLET GLASS OBSERVATION WINDOW AT GROUND LEVEL ON WEST ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

7. BULLET GLASS OBSERVATION WINDOW AT GROUND LEVEL ON WEST REAR. - Edwards Air Force Base, South Base Sled Track, Firing & Control Blockhouse for 10,000-foot Track, South of Sled Track at midpoint of 20,000-foot track, Lancaster, Los Angeles County, CA

The Impact of a Community-Based Chronic Disease Prevention Initiative: Evaluation Findings from "Steps to Health King County"

ERIC Educational Resources Information Center

Cheadle, Allen; Bourcier, Emily; Krieger, James; Beery, William; Smyser, Michael; Vinh, Diana V.; Lessler, Dan; Alfonsi, Lorrie

2011-01-01

"Steps to Health King County" ("Steps KC"; Seattle, Washington) was one of 40 community-level initiatives funded in 2003 as part of the "Steps to a HealthierUS" initiative. "Steps KC" goals included reducing the impact of chronic diseases through a comprehensive, coordinated approach and reducing health…

A Tale of Two Connecticuts: 2002-2003 Kids Count Data Book.

ERIC Educational Resources Information Center

Osuch, Donna S.; Horan, James P.

This Kids Count Data book details trends in the well-being of Connecticut's children. The statistical portrait is based on 23 indicators in the areas of demographics, security, health, education, and safety. This year's new format presents the data at the county and town levels, covering 169 municipalities and 8 counties. The data book begins with…

Intentional injuries in young Ohio children: is there urban/rural variation?

PubMed

Anderson, Brit L; Pomerantz, Wendy J; Gittelman, Michael A

2014-09-01

Intentional injuries are the third leading cause of death in children 1 year to 4 years of age. The epidemiology of these injuries based on urban/rural geography and economic variables has not been clearly established. The study purposes are (1) to determine the rate of severe intentional injuries in children younger than 5 years in urban versus rural Ohio counties and (2) to determine if poverty within counties is associated with intentional injury rate. Demographic and injury data on children younger than 5 years who experienced intentional injuries, from January 1, 2003, to December 31, 2011, were extracted retrospectively from the Ohio Trauma Acute Care Registry. We calculated injury rates using the county of residence and US census data. We assigned each county to an urbanization level based on population density (A, most urban; D, most rural). Mean income and percentage of families with children younger than 5 years living below poverty in Ohio counties were obtained from the US census. Rates are per 100,000 children younger than 5 years per year. A total of 984 patients were included; the overall injury rate was 15.9. The mean age was 0.66 years (SD, 1.02 years); 583 (59.2%) were male and 655 (66.6%) were white. One hundred twenty-nine (13.1%) died. Injury rates by urbanization level were as follows: A, 16.5; B, 10.7; C, 18.7; and D, 15.2 (p = 0.285). There were significant associations between county injury rate and mean income (p = 0.05) and percentage of families with children younger than 5 years living below poverty (p = 0.04). We found no association between intentional injury rate and urbanization level in young Ohio children. However, we did find an association between county mean income and percentage of families living below poverty, with intentional injury rate suggesting that financial hardship may be an important risk factor of these injuries.

Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails.

PubMed

Usta, Mericcan; Wein, Lawrence M

2015-01-01

Court-mandated downsizing of the CA prison system has led to a redistribution of detainees from prisons to CA county jails, and subsequent jail overcrowding. Using data that is representative of the LA County jail system, we build a mathematical model that tracks the flow of individuals during arraignment, pretrial release or detention, case disposition, jail sentence, and possible recidivism during pretrial release, after a failure to appear in court, during non-felony probation and during felony supervision. We assess 64 joint pretrial release and split-sentencing (where low-level felon sentences are split between jail time and mandatory supervision) policies that are based on the type of charge (felony or non-felony) and the risk category as determined by the CA Static Risk Assessment tool, and compare their performance to that of the policy LA County used in early 2014, before split sentencing was in use. In our model, policies that offer split sentences to all low-level felons optimize the key tradeoff between public safety and jail congestion by, e.g., simultaneously reducing the rearrest rate by 7% and the mean jail population by 20% relative to the policy LA County used in 2014. The effectiveness of split sentencing is due to two facts: (i) convicted felony offenders comprised ≈ 45% of LA County's jail population in 2014, and (ii) compared to pretrial release, split sentencing exposes offenders to much less time under recidivism risk per saved jail day.

[Coupling coordination evaluation method between eco-environment quality and economic development level in contiguous special poverty-stricken areas of China].

PubMed

Wang, Yan-hui; Li, Jing-yi

2015-05-01

It is one of the important strategies in the new period of national poverty alleviation and development to maintain the basic balance between the ecological environment and economic development, and to promote the coordinated sustainable development of economy and ecological environment. Taking six contiguous special poverty-stricken areas as the study areas, a coupling coordination evaluation method between eco-environment quality and economic development level in contiguous special poverty-stricken areas was explored in this paper. The region' s ecological poverty index system was proposed based on the natural attribute of ecological environment, and the ecological environment quality evaluation method was built up by using AHP weighting method, followed by the design of the coupling coordination evaluation method between the ecological environment indices and the county economic poverty comprehensive indices. The coupling coordination degrees were calculated and their spatial representation differentiations were analyzed respectively at district, province, city, and county scales. Results showed that approximately half of the counties in the study areas achieved the harmoniously coordinated development. However, the ecological environmental quality and the economic development in most counties could not be synchronized, where mountains, rivers and other geographic features existed roughly as a dividing line of the coordinated development types. The phenomena of dislocation between the ecological environment and economic development in state-level poor counties were more serious than those of local poor counties.

County-Level Population Economic Status and Medicare Imaging Resource Consumption.

PubMed

Rosenkrantz, Andrew B; Hughes, Danny R; Prabhakar, Anand M; Duszak, Richard

2017-06-01

The aim of this study was to assess relationships between county-level variation in Medicare beneficiary imaging resource consumption and measures of population economic status. The 2013 CMS Geographic Variation Public Use File was used to identify county-level per capita Medicare fee-for-service imaging utilization and nationally standardized costs to the Medicare program. The County Health Rankings public data set was used to identify county-level measures of population economic status. Regional variation was assessed, and multivariate regressions were performed. Imaging events per 1,000 Medicare beneficiaries varied 1.8-fold (range, 2,723-4,843) at the state level and 5.3-fold (range, 1,228-6,455) at the county level. Per capita nationally standardized imaging costs to Medicare varied 4.2-fold (range, $84-$353) at the state level and 14.1-fold (range, $33-$471) at the county level. Within individual states, county-level utilization varied on average 2.0-fold (range, 1.1- to 3.1-fold), and costs varied 2.8-fold (range, 1.1- to 6.4-fold). For both large urban populations and small rural states, Medicare imaging resource consumption was heterogeneously variable at the county level. Adjusting for county-level gender, ethnicity, rural status, and population density, countywide unemployment rates showed strong independent positive associations with Medicare imaging events (β = 26.96) and costs (β = 4.37), whereas uninsured rates showed strong independent positive associations with Medicare imaging costs (β = 2.68). Medicare imaging utilization and costs both vary far more at the county than at the state level. Unfavorable measures of county-level population economic status in the non-Medicare population are independently associated with greater Medicare imaging resource consumption. Future efforts to optimize Medicare imaging use should consider the influence of local indigenous socioeconomic factors outside the scope of traditional beneficiary-focused policy initiatives. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

A comprehensive ammonia emission inventory with high-resolution and its evaluation in the Beijing-Tianjin-Hebei (BTH) region, China

NASA Astrophysics Data System (ADS)

Zhou, Ying; Shuiyuan Cheng; Lang, Jianlei; Chen, Dongsheng; Zhao, Beibei; Liu, Chao; Xu, Ran; Li, Tingting

2015-04-01

A comprehensive ammonia (NH3) emission inventory for the Beijing-Tianjin-Hebei (BTH) region was developed based on the updated source-specific emission factors (EFs) and the county-level activity data obtained from a full-coverage investigation launched in the BTH region for the first time. The NH3 emission inventory within 1 km × 1 km grid was generated using source-based spatial surrogates with geographical information system (GIS) technology. The total NH3 emission was 1573.7 Gg for the year 2010. The contributions from livestock, farmland, human, biomass burning, chemical industry, fuel combustion, waste disposal and on-road mobile source were approximately 56.6%, 28.6%, 7.2%, 3.4%, 1.1%, 1.3%, 1.0% and 0.8%, respectively. Among different cities, Shijiazhang, Handan, Xingtai, Tangshan and Cangzhou had higher NH3 emissions. Statistical analysis aiming at county-level emission of 180 counties in BTH indicated that the NH3 emission in most of the counties were less than 16 Gg. The maximum value of the county level emission was approximately 25.5 Gg. Higher NH3 emission was concentrated in the areas with more rural and agricultural activity. Monthly, higher NH3 emission occurred during the period from April to September, which could be attributed to the temperature and timing of planting practice. The validity of the estimated emissions were further evaluated from multiple perspectives covering (1) uncertainty analysis based on Monte Carlo simulation, (2) comparison with other studies, (3) quantitative analysis of improvement in spatial resolution of activity data, and (4) verification based on a comparison of the simulated and observed surface concentrations of ammonium. The detailed and validated ammonia emission inventory could provide valuable information for understanding air pollution formation mechanisms and help guide decision-making with respect to control strategies.

7 CFR 1940.308 - Environmental responsibilities at the District and County Office levels.

Code of Federal Regulations, 2010 CFR

2010-01-01

... Environmental Program § 1940.308 Environmental responsibilities at the District and County Office levels. (a... County Office levels. 1940.308 Section 1940.308 Agriculture Regulations of the Department of Agriculture... completed at the District Office level. (b) The County Supervisor will be responsible for carrying out the...

Altitude and configuration of the potentiometric surface in the Triassic sandstones and shales, northeastern Chester County, Pennsylvania, September 1987 through January 1988

USGS Publications Warehouse

Senior, Lisa A.; Garges, John A.

1989-01-01

The altitude of the water levels in the Triassic sandstones and shales in northeastern Chester County is shown on a map at a scale of 1:24,000. The map is based on water levels in 173 non-pumping drilled and dug wells measured in 1956 and 1965, and on the altitude of two springs that were flowing in November and December 1987. Water level altitudes are contoured at an interval of 20 ft. The surface defined by the contoured water levels may approximately represent the water table. Water table altitudes range from 379 ft to less than 80 ft above sea level. (USGS)

10. INTERIOR VIEW OF BALCONY FROM MEZZANINE LEVEL. WrightPatterson ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

10. INTERIOR VIEW OF BALCONY FROM MEZZANINE LEVEL. - Wright-Patterson Air Force Base, Area B, Building No. 12, Technical Data Building, Third Street, between B & D Streets, Dayton, Montgomery County, OH

11. INTERIOR VIEW OF BALCONY FROM GROUND FLOOR LEVEL. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

11. INTERIOR VIEW OF BALCONY FROM GROUND FLOOR LEVEL. - Wright-Patterson Air Force Base, Area B, Building No. 12, Technical Data Building, Third Street, between B & D Streets, Dayton, Montgomery County, OH

58. Corridor, building 500 to building 515, basement level, looking ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

58. Corridor, building 500 to building 515, basement level, looking southeast - Offutt Air Force Base, Strategic Air Command Headquarters & Command Center, Headquarters Building, 901 SAC Boulevard, Bellevue, Sarpy County, NE

Water-level altitudes 2017 and water-level changes in the Chicot, Evangeline, and Jasper Aquifers and compaction 1973–2016 in the Chicot and Evangeline Aquifers, Houston-Galveston region, Texas

USGS Publications Warehouse

Kasmarek, Mark C.; Ramage, Jason K.

2017-08-16

Most of the land-surface subsidence in the Houston-Galveston region, Texas, has occurred as a direct result of groundwater withdrawals for municipal supply, commercial and industrial use, and irrigation that depressured and dewatered the Chicot and Evangeline aquifers, thereby causing compaction of the aquifer sediments, mostly in the fine-grained silt and clay layers. This report, prepared by the U.S. Geological Survey in cooperation with the Harris-Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District, is one in an annual series of reports depicting water-level altitudes and water-level changes in the Chicot, Evangeline, and Jasper aquifers and measured cumulative compaction of subsurface sediments in the Chicot and Evangeline aquifers in the Houston-Galveston region. This report contains regional-scale maps depicting approximate 2017 water-level altitudes (represented by measurements made during December 2016 through March 2017) and long-term water-level changes for the Chicot, Evangeline, and Jasper aquifers; a map depicting locations of borehole-extensometer (hereinafter referred to as “extensometer”) sites; and graphs depicting measured long-term cumulative compaction of subsurface sediments at the extensometers during 1973–2016.In 2017, water-level-altitude contours for the Chicot aquifer ranged from 200 feet (ft) below the North American Vertical Datum of 1988 (hereinafter referred to as “datum”) in two localized areas in southwestern and northwestern Harris County to 200 ft above datum in west-central Montgomery County. The largest water-level-altitude decline (120 ft) depicted by the 1977–2017 water-level-change contours for the Chicot aquifer was in northwestern Harris County. A broad area where water-level altitudes declined in the Chicot aquifer extends from northwestern, north-central, and southwestern Harris County across parts of north-central, eastern, and south-central Fort Bend County into southeastern Waller County. Adjacent to the areas where water levels declined was a broad area where water levels rose in central, eastern, and southeastern Harris County, most of Galveston County, eastern and northernmost Brazoria County, and northeastern Fort Bend County. The largest rise (200 ft) in water-level altitudes in the Chicot aquifer from 1977 to 2017 was in southeastern Harris County.The water-level-altitude contours for the Evangeline aquifer in 2017 indicated two areas where the water-level altitudes were 250 ft below datum—one area extending from south-central Montgomery County into north-central Harris County and another area in western Harris County. Water-level altitudes in the Evangeline aquifer ranged from 50 to 200 ft below datum throughout most of Harris County in 2017. In Montgomery County, water-level altitudes in the Evangeline aquifer in 2017 ranged from the aforementioned area where they were 250 ft below datum to an area where they were 200 ft above datum in the northwestern part of the county. The 1977–2017 water-level-change contours for the Evangeline aquifer depict a broad area where water-level altitudes declined in north-central Harris and south-central Montgomery Counties, extending through north-central, northwestern, and southwestern Harris County into western Liberty, southeastern and northeastern Waller, and northeastern and east-central Fort Bend Counties. The largest water-level-altitude decline (280 ft) was in north-central Harris and south-central Montgomery Counties. Water-level altitudes rose in a broad area from central, east-central, and southern Harris County extending into the northernmost part of Brazoria County, the northernmost part of Galveston County, and the southwestern area of Liberty County. The largest rise in water-level altitudes in the Evangeline aquifer from 1977 to 2017 (240 ft) was in southeastern Harris County.Water-level-altitude contours for the Jasper aquifer in 2017 ranged from 200 ft below datum in three isolated areas of south-central Montgomery County (the westernmost of these areas extended slightly into north-central Harris County) to 250 ft above datum in extreme northwestern Montgomery County, northeastern Grimes County, and southwestern Walker County. The 2000–17 water-level-change contours for the Jasper aquifer depict water-level declines in a broad area throughout most of Montgomery County and in parts of Waller, Grimes, and Harris Counties, with the largest decline (220 ft) in an isolated area in south-central Montgomery County.Compaction of subsurface sediments (mostly in the fine-grained silt and clay layers) in the Chicot and Evangeline aquifers was recorded continuously by using 13 extensometers at 11 sites that were either activated or installed between 1973 and 1980. During the period of record beginning in 1973 (or later depending on activation or installation date) and ending in late November or December 2016, measured cumulative compaction at the 13 extensometers ranged from 0.096 ft at the Texas City-Moses Lake extensometer to 3.700 ft at the Addicks extensometer. From January through late November or December 2016, the Addicks, Lake Houston, Southwest, and Northeast extensometers recorded net decreases in land-surface elevation, but the Baytown C–1 (shallow), Baytown C–2 (deep), Clear Lake (shallow), Clear Lake (deep), East End, Johnson Space Center, Pasadena, Seabrook, and Texas City-Moses Lake extensometers recorded net increases in land-surface elevation.The rate of compaction varies from site to site because of differences in rates of groundwater withdrawal in the areas adjacent to each extensometer site; differences among sites in the ratios of sand, silt, and clay and their corresponding compressibilities; and previously established preconsolidation heads. It is not appropriate, therefore, to extrapolate or infer a rate of compaction for an adjacent area on the basis of the rate of compaction recorded by proximal extensometers.

Hydrogeology and simulation of regional ground-water-level declines in Monroe County, Michigan

USGS Publications Warehouse

Reeves, Howard W.; Wright, Kirsten V.; Nicholas, J.R.

2004-01-01

Observed ground-water-level declines from 1991 to 2003 in northern Monroe County, Michigan, are consistent with increased ground-water demands in the region. In 1991, the estimated ground-water use in the county was 20 million gallons per day, and 80 percent of this total was from quarry dewatering. In 2001, the estimated ground-water use in the county was 30 million gallons per day, and 75 percent of this total was from quarry dewatering. Prior to approximately 1990, the ground-water demands were met by capturing natural discharge from the area and by inducing leakage through glacial deposits that cover the bedrock aquifer. Increased ground-water demand after 1990 led to declines in ground-water level as the system moves toward a new steady-state. Much of the available natural discharge from the bedrock aquifer had been captured by the 1991 conditions, and the response to additional withdrawals resulted in the observed widespread decline in water levels. The causes of the observed declines were explored through the use of a regional ground-water-flow model. The model area includes portions of Lenawee, Monroe, Washtenaw, and Wayne Counties in Michigan, and portions of Fulton, Henry, and Lucas Counties in Ohio. Factors, including lowered water-table elevations because of below average precipitation during the time period (1991 - 2001) and reduction in water supply to the bedrock aquifer because of land-use changes, were found to affect the regional system, but these factors did not explain the regional decline. Potential ground-water capture for the bedrock aquifer in Monroe County is limited by the low hydraulic conductivity of the overlying glacial deposits and shales and the presence of dense saline water within the bedrock as it dips into the Michigan Basin to the west and north of the county. Hydrogeologic features of the bedrock and the overlying glacial deposits were included in the model design. An important step of characterizing the bedrock aquifer was the determination of inputs and outputs of water—leakage from glacial deposits and flows across model boundaries. The imposed demands on the groundwater system create additional discharge from the bedrock aquifer, and this discharge is documented by records and estimates of water use including: residential and industrial use, irrigation, and quarry dewatering. Hydrologic characterization of Monroe County and surrounding areas was used to determine the model boundaries and inputs within the ground-water model. MODFLOW-2000 was the computer model used to simulate ground-water flow. Predevelopment, 1991, and 2001 conditions were simulated with the model. The predevelopment model did not include modern water use and was compared to information from early settlement of the county. The 1991 steady-state model included modern demands on the ground-water system and was based on a significant amount of data collected for this and previous studies. The predevelopment and 1991 simulations were used to calibrate the numerical model. The simulation of 2001 conditions was based on recent data and explored the potential ground-water levels if the current conditions persist. Model results indicate that the ground-water level will stabilize in the county near current levels if the demands imposed during 2001 are held constant.

Expected indoor 222Rn levels in counties with very high and very low lung cancer rates.

PubMed

Cohen, B L

1989-12-01

Counties in the U.S. with high lung cancer rates should have higher average 222Rn levels than counties with low lung cancer rates, assuming the average 222Rn level in a county is not correlated with other factors that cause lung cancer. The magnitude of this effect was calculated, using the absolute risk model, the relative risk model, and an intermediate model, for females who died in 1950-1969. The results were similar for all three models. We concluded that, ignoring migration, the average Rn level in the highest lung cancer counties should be about three times higher than in the lowest lung cancer counties according to the theory. Preliminary data are presented indicating that the situation is quite the opposite: The average Rn level in the highest lung cancer counties was only about one-half that in the lowest lung cancer counties.

Hydrogeology and groundwater availability in Clarke County, Virginia

USGS Publications Warehouse

Nelms, David L.; Moberg, Roger M.

2010-01-01

The prolonged drought between 1999 and 2002 drew attention in Clarke County, Virginia, to the quantity and sustainability of its groundwater resources. The groundwater flow systems of the county are complex and are controlled by the extremely folded and faulted geology that underlies the county. A study was conducted between October 2002 and October 2008 by the U.S. Geological Survey, in cooperation with Clarke County, Virginia, to describe the hydrogeology and groundwater availability in the county and to establish a long-term water monitoring network. The study area encompasses approximately 177 square miles and includes the carbonate and siliciclastic rocks of the Great Valley section of the Valley and Ridge Physiographic Province and the metamorphic rocks of the Blue Ridge Physiographic Province (Blue Ridge). High-yielding wells generally tend to cluster along faults, within lineament zones, and in areas of tight folding throughout the county. Water-bearing zones are generally within 250 feet (ft) of land surface; however, median depths are slightly deeper for the hydrogeologic units of the Blue Ridge than for those of the Great Valley section of the county. Total water-level fluctuations between October 2002 and October 2008 ranged from 2.86 to 87.84 ft across the study area, with an average of 24.15 ft. Generally, water-level fluctuations were greatest near hydrologic divides, in isolated elevated areas, and in the Opequon Creek Basin. Seasonally, water-level highs occur in the early spring at the end of the major groundwater recharge period and lows occur in late autumn when evapotranspiration rates begin to decrease. An overall downward trend in water levels between 2003 and 2008, which closely follows a downward trend in annual precipitation over the same period, was observed in a majority of wells in the Great Valley and in some of the wells in the Blue Ridge. Water-level fluctuations in the Blue Ridge tend to follow current meteorological conditions, and seasonal highs and lows tend to shift in response to the current conditions. Springs generally are present along faults and fold axes, and discharges for the study period ranged from dry to 10 cubic feet per second. A similar downward trend in discharges correlates with the trend in water levels and is indicative of an aquifer system that, over time, drains to a base level controlled by springs and streams. Point discharge from springs can occur as the start of flows of streams and creeks, along banks, and as discrete discharge through streambeds in the Great Valley. For the most part, streams, creeks, and rivers in the Great Valley function as aqueducts. Springs in the Blue Ridge have relatively low discharge rates, have small drainage areas, and are susceptible to current meteorological conditions. Estimates of effective groundwater recharge from 2001 to 2007 ranged from 6.4 to 23.0 inches per year (in/yr) in the Dry Marsh Run and Spout Run Basins with averages of 11.6 and 11.9 in/yr, respectively. Base flow accounted for between 80 and 97 percent of mean streamflow and averaged about 90 percent in these basins. The high base-flow index values (percent of streamflow from base flow) in the Dry Marsh Run and Spout Run Basins indicate that groundwater is the dominant source of streamflow during both wet and drought conditions. Between 46 and 82 percent of the precipitation that fell on the Dry Marsh Run and Spout Run Basins from 2001 to 2007 was removed by evapotranspiration, and an average of approximately 30 percent of the precipitation reached the water table as effective recharge. The high permeability of the rocks and low relief in these basins are not conducive for runoff; therefore, on average, only about 3 to 4 percent of the precipitation becomes runoff. Groundwater flow systems in the county are extremely vulnerable to current climatic conditions. Successive years of below-average effective recharge cause declines in water levels, spring discha

Does providing more services increase the primary hospitals' revenue? An assessment of national essential medicine policy based on 2,675 counties in China.

PubMed

Chen, Fei; Yang, Min; Li, Qian; Pan, Jay; Li, Xiaosong; Meng, Qun

2018-01-01

To understand whether the increased outpatient service provision (OSP) brings in enough additional income (excluding income from essential medicine) for primary hospitals (INCOME) to compensate for reduced costs of medicine. The two outcomes, annual OSP and INCOME for the period of 2008-2012, were collected from 34,506 primary hospitals in 2,675 counties in 31 provinces in China by the national surveillance system. The data had a four-level hierarchical structure; time points were nested within primary hospital, hospitals within county, and counties within province. We fitted bivariate five-level random effects regression models to examine correlations between OSP and INCOME in terms of their mean values and dose-response effects of the essential medicine policy (EMP). We adjusted for the effects of time period and selected hospital resources. The estimated correlation coefficients between the two outcomes' mean values were strongly positive among provinces (r = 0.910), moderately positive among counties (r = 0.380), and none among hospitals (r = 0.002) and time (r = 0.007). The correlation between their policy effects was weakly positive among provinces (r = 0.234), but none at the county and hospital levels. However, there were markedly negative correlation coefficients between the mean and policy effects at -0.328 for OSP and -0.541 for INCOME at the hospital level. There was no evidence to suggest an association between the two outcomes in terms of their mean values and dose-response effects of EMP at the hospital level. This indicated that increased OSP did not bring enough additional INCOME. Sustainable mechanisms to compensate primary hospitals are needed.

Population Aging and Migrant Workers: Bottlenecks in Tuberculosis Control in Rural China

PubMed Central

Lu, Hui; You, Hua; Fan, Hong; Huang, Lifang; Wang, Qungang; Shen, Hongbing; Wang, Jianming

2014-01-01

Background Tuberculosis is a serious global health problem. Its paradigms are shifting through time, especially in rapidly developing countries such as China. Health providers in China are at the forefront of the battle against tuberculosis; however, there are few empirical studies on health providers' perspectives on the challenges they face in tuberculosis control at the county level in China. This study was conducted among health providers to explore their experiences with tuberculosis control in order to identify bottlenecks and emerging challenges in controlling tuberculosis in rural China. Methods A qualitative approach was used. Semi-structured, in-depth interviews were conducted with 17 health providers working in various positions within the health system of one rural county (ZJG) of China. Data were analyzed based on thematic content analysis using MAXQDA 10 qualitative data analysis software. Results Health providers reported several problems in tuberculosis control in ZJG county. Migrant workers and the elderly were repeatedly documented as the main obstacles in effective tuberculosis control in the county. At a personal level, doctors showed their frustration with the lack of new drugs for treating tuberculosis patients, and their opinions varied regarding incentives for referring patients. Conclusion The results suggest that several problems still remain for controlling tuberculosis in rural China. Tuberculosis control efforts need to make reaching the most vulnerable populations a priority and encourage local health providers to adopt innovative practices in the local context based on national guidelines to achieve the best results. Considerable changes in China's National Tuberculosis Control Program are needed to tackle these emerging challenges faced by health workers at the county level. PMID:24498440

Population aging and migrant workers: bottlenecks in tuberculosis control in rural China.

PubMed

Bele, Sumedh; Jiang, Wei; Lu, Hui; You, Hua; Fan, Hong; Huang, Lifang; Wang, Qungang; Shen, Hongbing; Wang, Jianming

2014-01-01

Tuberculosis is a serious global health problem. Its paradigms are shifting through time, especially in rapidly developing countries such as China. Health providers in China are at the forefront of the battle against tuberculosis; however, there are few empirical studies on health providers' perspectives on the challenges they face in tuberculosis control at the county level in China. This study was conducted among health providers to explore their experiences with tuberculosis control in order to identify bottlenecks and emerging challenges in controlling tuberculosis in rural China. A qualitative approach was used. Semi-structured, in-depth interviews were conducted with 17 health providers working in various positions within the health system of one rural county (ZJG) of China. Data were analyzed based on thematic content analysis using MAXQDA 10 qualitative data analysis software. Health providers reported several problems in tuberculosis control in ZJG county. Migrant workers and the elderly were repeatedly documented as the main obstacles in effective tuberculosis control in the county. At a personal level, doctors showed their frustration with the lack of new drugs for treating tuberculosis patients, and their opinions varied regarding incentives for referring patients. The results suggest that several problems still remain for controlling tuberculosis in rural China. Tuberculosis control efforts need to make reaching the most vulnerable populations a priority and encourage local health providers to adopt innovative practices in the local context based on national guidelines to achieve the best results. Considerable changes in China's National Tuberculosis Control Program are needed to tackle these emerging challenges faced by health workers at the county level.

Kids Count in Michigan Data Book, 2002: County Profiles of Child and Family Well-Being.

ERIC Educational Resources Information Center

Zehnder-Merrell, Jane

This KIDS COUNT data book for 2002 examines statewide and county level trends in the well-being of Michigan's children. The statistical portrait is based on the following: (1) demographics; (2) juvenile arrests; (3) teen births; (4) children of two working parents; (5) child care costs; (6) child care capacity; (7) children in subsidized child…

Kids Count in Michigan 1999 Data Book: County Profiles of Child and Family Well-Being.

ERIC Educational Resources Information Center

Zehnder-Merrell, Jane; Corey, Michele

This Kids Count data book for 1999 examines statewide and county level trends in the well-being of Michigan's children, featuring available data on young adolescents, ages 10 to 14. The statistical portrait is based on 15 indicators of well-being: (1) child poverty; (2) free and reduced price lunch; (3) inadequate prenatal care; (4) low…

Kids Count in Michigan Data Book, 2001: County Profiles of Child and Family Well-Being.

ERIC Educational Resources Information Center

Zehnder-Merrell, Jane

This Kids Count data book for 2001 examines statewide and county level trends in the well-being of Michigan's children. The statistical portrait is based on over 40 indicators of well-being in the areas of: (1) economic security; (2) child health; (3) child safety; (4) adolescence; and (5) education. Introductory comments note the report's focus…

The Effect of Land Tenure System on Women's Knowledge-Base and Resource Management in Manjiya County, Uganda

ERIC Educational Resources Information Center

Kagoda, Alice Merab

2008-01-01

This study examines the status of women in relationship to land ownership, the resources they are exposed to and management practices, consequently its effect on the environment of Manjiya County, Mbale District in (now Manafwa since 2008) Uganda. It was found out that low levels of education limit women's abilities of creativity and…

Tillage practices in the conterminous United States, 1989-2004-Datasets Aggregated by Watershed

USGS Publications Warehouse

Baker, Nancy T.

2011-01-01

This report documents the methods used to aggregate county-level tillage practices to the 8-digit hydrologic unit (HU) watershed. The original county-level data were collected by the Conservation Technology Information Center (CTIC). The CTIC collects tillage data by conducting surveys about tillage systems for all counties in the United States. Tillage systems include three types of conservation tillage (no-till, ridge-till, and mulch-till), reduced tillage, and intensive tillage. Total planted acreage for each tillage practice for each crop grown is reported to the CTIC. The dataset includes total planted acreage by tillage type for selected crops (corn, cotton, grain sorghum, soybeans, fallow, forage, newly established permanent pasture, spring and fall seeded small grains, and 'other' crops) for 1989-2004. Two tabular datasets, based on the 1992 enhanced and 2001 National Land Cover Data (NLCD), are provided as part of this report and include the land-cover area-weighted interpolation and aggregation of acreage for each tillage practice in each 8-digit HU watershed in the conterminous United States for each crop. Watershed aggregations were done by overlying the 8-digit HU polygons with a raster of county boundaries and a raster of either the enhanced 1992 or the 2001 NLCD for cultivated land to derive a county/land-cover area weighting factor. The weighting factor then was applied to the county-level tillage data for the counties within each 8-digit HU and summed to yield the total acreage of each tillage type within each 8-digit HU watershed.

55. Room BF9, paper shredding facility, basement level, building 500, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

55. Room BF-9, paper shredding facility, basement level, building 500, looking east - Offutt Air Force Base, Strategic Air Command Headquarters & Command Center, Headquarters Building, 901 SAC Boulevard, Bellevue, Sarpy County, NE

57. Entry door (open), BE16, basement level, building 500, looking ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

57. Entry door (open), BE-16, basement level, building 500, looking southeast - Offutt Air Force Base, Strategic Air Command Headquarters & Command Center, Headquarters Building, 901 SAC Boulevard, Bellevue, Sarpy County, NE

54. Room BF14, IDA room, basement level, building 500, looking ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

54. Room BF-14, IDA room, basement level, building 500, looking west - Offutt Air Force Base, Strategic Air Command Headquarters & Command Center, Headquarters Building, 901 SAC Boulevard, Bellevue, Sarpy County, NE

56. Entry door (closed), BB16, basement level, building 500, looking ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

56. Entry door (closed), BB-16, basement level, building 500, looking southeast - Offutt Air Force Base, Strategic Air Command Headquarters & Command Center, Headquarters Building, 901 SAC Boulevard, Bellevue, Sarpy County, NE

Displacement, county social cohesion, and depression after a large-scale traumatic event.

PubMed

Lê, Félice; Tracy, Melissa; Norris, Fran H; Galea, Sandro

2013-11-01

Depression is a common and potentially debilitating consequence of traumatic events. Mass traumatic events cause wide-ranging disruptions to community characteristics, influencing the population risk of depression. In the aftermath of such events, population displacement is common. Stressors associated with displacement may increase risk of depression directly. Indirectly, persons who are displaced may experience erosion in social cohesion, further exacerbating their risk for depression. Using data from a population-based cross-sectional survey of adults living in the 23 southernmost counties of Mississippi (N = 708), we modeled the independent and joint relations of displacement and county-level social cohesion with depression 18-24 months after Hurricane Katrina. After adjustment for individual- and county-level socio-demographic characteristics and county-level hurricane exposure, joint exposure to both displacement and low social cohesion was associated with substantially higher log-odds of depression (b = 1.34 [0.86-1.83]). Associations were much weaker for exposure only to low social cohesion (b = 0.28 [-0.35-0.90]) or only to displacement (b = 0.04 [-0.80-0.88]). The associations were robust to additional adjustment for individually perceived social cohesion and social support. Addressing the multiple, simultaneous disruptions that are a hallmark of mass traumatic events is important to identify vulnerable populations and understand the psychological ramifications of these events.

2. TERMINAL ROOM, SHOP LEVEL INTERIOR, SHOWING MEZZANINE LEVEL CABLE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

2. TERMINAL ROOM, SHOP LEVEL INTERIOR, SHOWING MEZZANINE LEVEL CABLE RACK AT UPPER RIGHT. Looking north. - Edwards Air Force Base, Air Force Rocket Propulsion Laboratory, Test Stand 1-A Terminal Room, Test Area 1-120, north end of Jupiter Boulevard, Boron, Kern County, CA

Examining Contextual Influences on Fall-Related Injuries Among Older Adults for Population Health Management.

PubMed

Hoffman, Geoffrey J; Rodriguez, Hector P

2015-12-01

The objectives were to assess the associations between fall-related injuries (FRIs) treated in the emergency department (ED) among older adults in California and contextual county-level physical, social, and economic characteristics, and to assess how county-level economic conditions are associated with FRIs when controlling for other county-level factors. Data from 2008 California ED discharge, Medicare Impact File, and County Health Rankings were used. Random effects logistic regression models estimated contextual associations between county-level factors representing economic conditions, the built environment, community safety, access to care, and obesity with patient-level FRI treatment among 1,712,409 older adults, controlling for patient-level and hospital-level characteristics. Patient-level predictors of FRI treatment were consistent with previous studies not accounting for contextual associations. Larger and rural hospitals had higher odds of FRI treatment, while teaching and safety net hospitals had lower odds. Better county economic conditions were associated with greater odds (ß=0.73, P=0.001) and higher county-level obesity were associated with lower odds (ß=-0.37, P=0.004), but safer built environments (ß=-0.31, P=0.38) were not associated with FRI treatment. The magnitude of association between county-level economic conditions and FRI treatment attenuated with the inclusion of county-level obesity rates. FRI treatment was most strongly and consistently related to more favorable county economic conditions, suggesting differences in treatment or preferences for treatment for FRIs among older individuals in communities of varying resource levels. Using population health data on FRIs, policy makers may be able to remove barriers unique to local contexts when implementing falls prevention educational programs and built environment modifications.

Examining Contextual Influences on Fall-Related Injuries Among Older Adults for Population Health Management

PubMed Central

Rodriguez, Hector P.

2015-01-01

Abstract The objectives were to assess the associations between fall-related injuries (FRIs) treated in the emergency department (ED) among older adults in California and contextual county-level physical, social, and economic characteristics, and to assess how county-level economic conditions are associated with FRIs when controlling for other county-level factors. Data from 2008 California ED discharge, Medicare Impact File, and County Health Rankings were used. Random effects logistic regression models estimated contextual associations between county-level factors representing economic conditions, the built environment, community safety, access to care, and obesity with patient-level FRI treatment among 1,712,409 older adults, controlling for patient-level and hospital-level characteristics. Patient-level predictors of FRI treatment were consistent with previous studies not accounting for contextual associations. Larger and rural hospitals had higher odds of FRI treatment, while teaching and safety net hospitals had lower odds. Better county economic conditions were associated with greater odds (ß=0.73, P=0.001) and higher county-level obesity were associated with lower odds (ß=−0.37, P=0.004), but safer built environments (ß=−0.31, P=0.38) were not associated with FRI treatment. The magnitude of association between county-level economic conditions and FRI treatment attenuated with the inclusion of county-level obesity rates. FRI treatment was most strongly and consistently related to more favorable county economic conditions, suggesting differences in treatment or preferences for treatment for FRIs among older individuals in communities of varying resource levels. Using population health data on FRIs, policy makers may be able to remove barriers unique to local contexts when implementing falls prevention educational programs and built environment modifications. (Population Health Management 2015;18:437–448) PMID:25919228

A systematic evaluation of different methods for calculating adolescent vaccination levels using immunization information system data.

PubMed

Gowda, Charitha; Dong, Shiming; Potter, Rachel C; Dombkowski, Kevin J; Stokley, Shannon; Dempsey, Amanda F

2013-01-01

Immunization information systems (IISs) are valuable surveillance tools; however, population relocation may introduce bias when determining immunization coverage. We explored alternative methods for estimating the vaccine-eligible population when calculating adolescent immunization levels using a statewide IIS. We performed a retrospective analysis of the Michigan State Care Improvement Registry (MCIR) for all adolescents aged 11-18 years registered in the MCIR as of October 2010. We explored four methods for determining denominators: (1) including all adolescents with MCIR records, (2) excluding adolescents with out-of-state residence, (3) further excluding those without MCIR activity ≥ 10 years prior to the evaluation date, and (4) using a denominator based on U.S. Census data. We estimated state- and county-specific coverage levels for four adolescent vaccines. We found a 20% difference in estimated vaccination coverage between the most inclusive and restrictive denominator populations. Although there was some variability among the four methods in vaccination at the state level (2%-11%), greater variation occurred at the county level (up to 21%). This variation was substantial enough to potentially impact public health assessments of immunization programs. Generally, vaccines with higher coverage levels had greater absolute variation, as did counties with smaller populations. At the county level, using the four denominator calculation methods resulted in substantial differences in estimated adolescent immunization rates that were less apparent when aggregated at the state level. Further research is needed to ascertain the most appropriate method for estimating vaccine coverage levels using IIS data.

A National Survey of Tobacco Cessation Programs for Youths

PubMed Central

Curry, Susan J.; Emery, Sherry; Sporer, Amy K.; Mermelstein, Robin; Flay, Brian R.; Berbaum, Michael; Warnecke, Richard B.; Johnson, Timothy; Mowery, Paul; Parsons, Jennifer; Harmon, Lori; Hund, Lisa; Wells, Henry

2007-01-01

Objectives. We collected data on a national sample of existing community-based tobacco cessation programs for youths to understand their prevalence and overall characteristics. Methods. We employed a 2-stage sampling design with US counties as the first-stage probability sampling units. We then used snowball sampling in selected counties to identify administrators of tobacco cessation programs for youths. We collected data on cessation programs when programs were identified. Results. We profiled 591 programs in 408 counties. Programs were more numerous in urban counties; fewer programs were found in low-income counties. State-level measures of smoking prevalence and tobacco control expenditures were not associated with program availability. Most programs were multisession, school-based group programs serving 50 or fewer youths per year. Program content included cognitive-behavioral components found in adult programs along with content specific to adolescence. The median annual budget was $2000. Few programs (9%) reported only mandatory enrollment, 35% reported mixed mandatory and voluntary enrollment, and 56% reported only voluntary enrollment. Conclusions. There is considerable homogeneity among community-based tobacco cessation programs for youths. Programs are least prevalent in the types of communities for which national data show increases in youths’ smoking prevalence. PMID:17138932

Groundwater availability in the Crouch Branch and McQueen Branch aquifers, Chesterfield County, South Carolina, 1900-2012

USGS Publications Warehouse

Campbell, Bruce G.; Landmeyer, James E.

2014-01-01

Chesterfield County is located in the northeastern part of South Carolina along the southern border of North Carolina and is primarily underlain by unconsolidated sediments of Late Cretaceous age and younger of the Atlantic Coastal Plain. Approximately 20 percent of Chesterfield County is in the Piedmont Physiographic Province, and this area of the county is not included in this study. These Atlantic Coastal Plain sediments compose two productive aquifers: the Crouch Branch aquifer that is present at land surface across most of the county and the deeper, semi-confined McQueen Branch aquifer. Most of the potable water supplied to residents of Chesterfield County is produced from the Crouch Branch and McQueen Branch aquifers by a well field located near McBee, South Carolina, in the southwestern part of the county. Overall, groundwater availability is good to very good in most of Chesterfield County, especially the area around and to the south of McBee, South Carolina. The eastern part of Chesterfield County does not have as abundant groundwater resources but resources are generally adequate for domestic purposes. The primary purpose of this study was to determine groundwater-flow rates, flow directions, and changes in water budgets over time for the Crouch Branch and McQueen Branch aquifers in the Chesterfield County area. This goal was accomplished by using the U.S. Geological Survey finite-difference MODFLOW groundwater-flow code to construct and calibrate a groundwater-flow model of the Atlantic Coastal Plain of Chesterfield County. The model was created with a uniform grid size of 300 by 300 feet to facilitate a more accurate simulation of groundwater-surface-water interactions. The model consists of 617 rows from north to south extending about 35 miles and 884 columns from west to east extending about 50 miles, yielding a total area of about 1,750 square miles. However, the active part of the modeled area, or the part where groundwater flow is simulated, totaled about 1,117 square miles. Major types of data used as input to the model included groundwater levels, groundwater-use data, and hydrostratigraphic data, along with estimates and measurements of stream base flows made specifically for this study. The groundwater-flow model was calibrated to groundwater-level and stream base-flow conditions from 1900 to 2012 using 39 stress periods. The model was calibrated with an automated parameter-estimation approach using the computer program PEST, and the model used regularized inversion and pilot points. The groundwater-flow model was calibrated using field data that included groundwater levels that had been collected between 1940 and 2012 from 239 wells and base-flow measurements from 44 locations distributed within the study area. To better understand recharge and inter-aquifer interactions, seven wells were equipped with continuous groundwater-level recording equipment during the course of the study, between 2008 and 2012. These water levels were included in the model calibration process. The observed groundwater levels were compared to the simulated ones, and acceptable calibration fits were achieved. Root mean square error for the simulated groundwater levels compared to all observed groundwater levels was 9.3 feet for the Crouch Branch aquifer and 8.6 feet for the McQueen Branch aquifer. The calibrated groundwater-flow model was then used to calculate groundwater budgets for the entire study area and for two sub-areas. The sub-areas are the Alligator Rural Water and Sewer Company well field near McBee, South Carolina, and the Carolina Sandhills National Wildlife Refuge acquisition boundary area. For the overall model area, recharge rates vary from 56 to 1,679 million gallons per day (Mgal/d) with a mean of 737 Mgal/d over the simulation period (1900–2012). The simulated water budget for the streams and rivers varies from 653 to 1,127 Mgal/d with a mean of 944 Mgal/d. The simulated “storage-in term” ranges from 0 to 565 Mgal/d with a mean of 276 Mgal/d. The simulated “storage-out term” has a range of 0 to 552 Mgal/d with a mean of 77 Mgal/d. Groundwater budgets for the McBee, South Carolina, area and the Carolina Sandhills National Wildlife Refuge acquisition area had similar results. An analysis of the effects of past and current groundwater withdrawals on base flows in the McBee area indicated a negligible effect of pumping from the Alligator Rural Water and Sewer well field on local stream base flows. Simulate base flows for 2012 for selected streams in and around the McBee area were similar with and without simulated groundwater withdrawals from the well field. Removing all pumping from the model for the entire simulation period (1900–2012) produces a negligible difference in increased base flow for the selected streams. The 2012 flow for Lower Alligator Creek was 5.04 Mgal/d with the wells pumping and 5.08 Mgal/d without the wells pumping; this represents the largest difference in simulated flows for the six streams.

A Comparative Analysis of the Validity of US State- and County-Level Social Capital Measures and Their Associations with Population Health

PubMed Central

Lee, Chul-joo; Kim, Daniel

2014-01-01

The goals of this study were to validate a number of available collective social capital measures at the U.S. state and county levels, and to examine the relative extent to which these social capital measures are associated with population health outcomes. Measures of social capital at the U.S. state level included aggregate indices based on the Annenberg National Health Communication Survey (ANHCS) and the Behavioral Risk Factor Surveillance System (BRFSS), Petris Social Capital Index (PSCI), Putnam’s index, and Kim et al.’s scales. County-level measures consisted of Rupasingha et al.’s social capital index (RGFI) and a BRFSS-derived measure. These measures, except for the PSCI, showed evidence of acceptable validity. Moreover, we observed differences across the social capital measures in their associations with population health outcomes. The implications of the findings for future research in this area are discussed. PMID:25574069

Explaining large mortality differences between adjacent counties: a cross-sectional study.

PubMed

Schootman, M; Chien, L; Yun, S; Pruitt, S L

2016-08-02

Extensive geographic variation in adverse health outcomes exists, but global measures ignore differences between adjacent geographic areas, which often have very different mortality rates. We describe a novel application of advanced spatial analysis to 1) examine the extent of differences in mortality rates between adjacent counties, 2) describe differences in risk factors between adjacent counties, and 3) determine if differences in risk factors account for the differences in mortality rates between adjacent counties. We conducted a cross-sectional study in Missouri, USA with 2005-2009 age-adjusted all-cause mortality rate as the outcome and county-level explanatory variables from a 2007 population-based survey. We used a multi-level Gaussian model and a full Bayesian approach to analyze the difference in risk factors relative to the difference in mortality rates between adjacent counties. The average mean difference in the age-adjusted mortality rate between any two adjacent counties was -3.27 (standard deviation = 95.5) per 100,000 population (maximum = 258.80). Six variables were associated with mortality differences: inability to obtain medical care because of cost (β = 2.6), hospital discharge rate (β = 1.03), prevalence of fair/poor health (β = 2.93), and hypertension (β = 4.75) and poverty prevalence (β = 6.08). Examining differences in mortality rates and associated risk factors between adjacent counties provides additional insight for future interventions to reduce geographic disparities.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chen, Longgao; Yang, Xiaoyan; School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116

The implementation of land use planning (LUP) has a large impact on environmental quality. There lacks a widely accepted and consolidated approach to assess the LUP environmental impact using Strategic Environmental Assessment (SEA). In this paper, we developed a state-impact-state (SIS) model employed in the LUP environmental impact assessment (LUPEA). With the usage of Matter-element (ME) and Extenics method, the methodology based on the SIS model was established and applied in the LUPEA of Zoucheng County, China. The results show that: (1) this methodology provides an intuitive and easy understanding logical model for both the theoretical analysis and application ofmore » LUPEA; (2) the spatial multi-temporal assessment from base year, near-future year to planning target year suggests the positive impact on the environmental quality in the whole County despite certain environmental degradation in some towns; (3) besides the spatial assessment, other achievements including the environmental elements influenced by land use and their weights, the identification of key indicators in LUPEA, and the appropriate environmental mitigation measures were obtained; and (4) this methodology can be used to achieve multi-temporal assessment of LUP environmental impact of County or Town level in other areas. - Highlights: • A State-Impact-State model for Land Use Planning Environmental Assessment (LUPEA). • Matter-element (ME) and Extenics methods were embedded in the LUPEA. • The model was applied to the LUPEA of Zoucheng County. • The assessment shows improving environment quality since 2000 in Zoucheng County. • The method provides a useful tool for the LUPEA in the county level.« less

69. TURBINE BUILDING (LOCATION N), THIRD LEVEL LOOKING NORTHWEST SHOWING ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

69. TURBINE BUILDING (LOCATION N), THIRD LEVEL LOOKING NORTHWEST SHOWING BASE OF CONDENSOR AND RIVER WATER OUTLET PIPE - Shippingport Atomic Power Station, On Ohio River, 25 miles Northwest of Pittsburgh, Shippingport, Beaver County, PA

Spatial analysis of dengue fever in Guangdong Province, China, 2001-2006.

PubMed

Liu, Chunxiao; Liu, Qiyong; Lin, Hualiang; Xin, Benqiang; Nie, Jun

2014-01-01

Guangdong Province is the area most seriously affected by dengue fever in China. In this study, we describe the spatial distribution of dengue fever in Guangdong Province from 2001 to 2006 with the objective of informing priority areas for public health planning and resource allocation. Annualized incidence at a county level was calculated and mapped to show crude incidence, excess hazard, and spatial smoothed incidence. Geographic information system-based spatial scan statistics was conducted to detect the spatial distribution pattern of dengue fever incidence at the county level. Spatial scan cluster analyses suggested that counties around Guangzhou City and Chaoshan Region were at increased risk for dengue fever (P < .01). Some spatial clusters of dengue fever were found in Guangdong Province, which allowed intervention measures to be targeted for maximum effect.

Hydrogeology and Ground-Water Quality of Brunswick County, North Carolina

USGS Publications Warehouse

Harden, Stephen L.; Fine, Jason M.; Spruill, Timothy B.

2003-01-01

Brunswick County is the southernmost coastal county in North Carolina and lies in the southeastern part of the Coastal Plain physiographic province. In this report, geologic, hydrologic, and chemical data were used to investigate and delineate the hydrogeologic framework and ground-water quality of Brunswick County. The major aquifers and their associated confining units delineated in the Brunswick County study area include, from youngest to oldest, the surficial, Castle Hayne, Peedee, Black Creek, upper Cape Fear, and lower Cape Fear aquifers.All of these aquifers, with the exception of the Castle Hayne aquifer, are located throughout Brunswick County. The Castle Hayne aquifer extends across only the southeastern part of the county. Based on available data, the Castle Hayne and Peedee confining units are missing in some areas of Brunswick County, which allows direct hydraulic contact between the surficial aquifer and underlying Castle Hayne or Peedee aquifers. The confining units for the Black Creek, upper Cape Fear, and lower Cape Fear aquifers appear to be continuous throughout Brunswick County.In examining the conceptual hydrologic system for Brunswick County, a generalized water budget was developed to better understand the natural processes, including precipitation, evapotranspiration, and stream runoff, that influence ground-water recharge to the shallow aquifer system in the county. In the generalized water budget, an estimated 11 inches per year of the average annual precipitation of 55 inches per year in Brunswick County is estimated to infiltrate and recharge the shallow aquifer system. Of the 11 inches per year that recharges the shallow system, about 1 inch per year is estimated to recharge the deeper aquifer system.The surficial aquifer in Brunswick County is an important source of water for domestic supply and irrigation. The Castle Hayne aquifer is the most productive aquifer and serves as the principal ground-water source of municipal supply for the county. The upper part of the Peedee aquifer is an important source of ground-water supply for domestic and commercial use. Ground water in the lower part of the Peedee aquifer and the underlying aquifers is brackish and is not known to be used as a source of supply in Brunswick County. Most of the precipitation that recharges the surficial aquifer is discharged to local streams that drain into the Waccamaw River, Cape Fear River, and Atlantic Ocean. Recharge to the Castle Hayne aquifer occurs primarily from the surficial aquifer. Recharge to the Peedee aquifer occurs primarily from the surficial and Castle Hayne aquifers, with some upward leakage of water also occurring from the underlying Black Creek aquifer. Discharge from the Castle Hayne and Peedee aquifers occurs to local streams, the Cape Fear River, and the Atlantic Ocean.Evaluation of water-level data for the period January 1970 through May 2002 indicated no apparent long-term temporal trends in water levels in the surficial and Castle Hayne aquifers and in the upper part of the Peedee aquifer. The most significant water-level trends were noted for wells tapping the lower part of the Peedee aquifer and tapping the Black Creek aquifer where water levels have declined as much as 41 and 37 feet, respectively. These ground-water-level declines are attributed to regional ground-water pumping in areas outside of Brunswick County. Water-level data for Brunswick County wells tapping the upper Cape Fear and lower Cape Fear aquifers tend to fluctuate within a fairly uniform range with no apparent temporal trend noted. Analysis of vertical hydraulic gradients during this same period primarily indicate downward flow of ground water within and among the surficial, Castle Hayne, and Peedee aquifers. The vertical flow of ground water in the Black Creek aquifer is upward into the overlying Peedee aquifer. Upward flow also is noted for the upper and lower Cape Fear aquifers.Historic and recent analytic data were evaluated to better understand the sources of water contained in Brunswick County aquifers and the suitability of the water for consumption. Based on analytical results obtained for recent samples collected during this study, ground water from the surficial aquifer, Castle Hayne aquifer, and upper part of the Peedee aquifer appears to be generally suitable for drinking water. Although concentrations of iron and manganese commonly exceeded the drinking-water standards, the concern generally associated with the occurrence of these analytes in a water supply is one of aesthetics. In all samples, nitrate, nitrite, and sulfate were detected at concentrations less than drinkingwater standards.Based on historic analytical data, the brackish water in the lower part of the Peedee aquifer and in the Black Creek, upper Cape Fear, and lower Cape Fear aquifers is classified as a sodium-chloride type water. The presence of brackish water in these deeper systems combined with upward vertical gradients presents the potential for upward migration of brackish water into overlying aquifers, or upconing beneath areas of pumping. The current (2001) location of the boundary between freshwater and brackish water in Brunswick County aquifers is unknown.

Micro-planning in a wide age range measles rubella (MR) campaign using mobile phone app, a case of Kenya, 2016.

PubMed

Ismail, Amina; Tabu, Collins; Onuekwusi, Iheoma; Otieno, Samuel Kevin; Ademba, Peter; Kamau, Peter; Koki, Beatrice; Ngatia, Anthony; Wainaina, Anthony; Davis, Robert

2017-01-01

A Measles rubella campaign that targeted 9 months to 14 year old children was conducted in all the 47 counties in Kenya between 16th and 24th of May 2016. Micro-planning using an android phone-based app was undertaken to map out the target population and logistics in all the counties 4 weeks to the campaign implementation instead of 6 months as per the WHO recommendation. The outcomes of the micro-planning exercise were a detailed micro-plan that served as a guide in ensuring that every eligible individual in the population was vaccinated with potent vaccine. A national Trainer of Trainers training was done to equip key officers with new knowledge and skills in developing micro-plans at all levels. The micro planning was done using a mobile phone app, the doforms that enabled data to be transmitted real time to the national level. The objective of the study was to establish whether use of mobile phone app would contribute to quality of sub national micro plans that can be used for national level planning and implementation of the campaign. There were 9 data collection forms but only forms 1-7 were to be uploaded onto the app. Forms 8A and 9A were to be filled but were to remain at the implementation level for use intra campaign. The forms were coded; Form 1A&B, 2A, 3A, 4A, 5A, 6A, 7A, 8A and 9A The Village form (form 1A&B) captured information by household which included village names, name of head of household, cell phone contact of head of household, number of children aged 9 months to 14years in the household, possible barriers to reaching the children, appropriate vaccination strategy based on barriers identified and estimated or proposed number of teams and type. This was the main form and from this every other form picked the population figures to estimate other supplies and logistics. On advocacy, communication and social mobilization the information collected included mobile network coverage, public amenities such as churches, mosques and key partners at the local level. On human resource and cold chain supplies the information collected included number of health facilities by type, number of health workers by cadre in facilities within the village, number of vaccine carriers and icepacks by size, refrigerators and freezers. All these forms were to be uploaded onto the phone app. except form 8A, the individual team plan, which was to be used during implementation at the local level. Android phone application, doforms, was used to capture data. Training on micro planning, data entry and doforms app was conducted at National, County, Sub-county and ward levels using standardized guidelines. An interactive case study was used in all the trainings to facilitate understanding. The App was also available on Laptops through its provided web-application. The app allowed multiple users to log in concurrently. Feedback on all the variables were obtained from the team at the Ward level. The ward level team included education officers or teachers, village elders, community health workers and other community stakeholders. Only the Ward level was allowed to collect information on paper and that information was subsequently transferred to the phone-based app, doforms, by health information officers. The national, county and sub county were able to access their data from the app using a password provided by the administrator. Real time data was received from 46 of 47 counties. One county (Marsabit) did not participate in the micro plan process. Over 97% (283/290) of the sub counties responded and shared various information via the app. Different data forms had different completion rates. There was 100% completion rate for the data on villages and target population. Much valuable information was shared but there was no time for the national and county level to interrogate and harmonize for proper implementation. The information captured during the campaign can be used for routine immunization and other community based interventions. Electronic data collection not only provided the number of children but provided the locations also where these children could be found. Despite the limitations of time to harmonize the micro plans with the national plan, the micro planning process was a great success with 46/47 counties responding through the mobile phone app. Not only did it provide the numbers of the target children, it further provided the places where these children could be found. There was timely data transfer, data integrity, tracking, real time data visualization reporting and analysis. The app enabled real time feedback to national focal point by data entry clerks as well as enabling trouble shooting by the administrator. This ensured campaign planning was done from the lowest level to the national level.

Micro-planning in a wide age range measles rubella (MR) campaign using mobile phone app, a case of Kenya, 2016

PubMed Central

Ismail, Amina; Tabu, Collins; Onuekwusi, Iheoma; Otieno, Samuel Kevin; Ademba, Peter; Kamau, Peter; Koki, Beatrice; Ngatia, Anthony; Wainaina, Anthony; Davis, Robert

2017-01-01

Introduction A Measles rubella campaign that targeted 9 months to 14 year old children was conducted in all the 47 counties in Kenya between 16th and 24th of May 2016. Micro-planning using an android phone-based app was undertaken to map out the target population and logistics in all the counties 4 weeks to the campaign implementation instead of 6 months as per the WHO recommendation. The outcomes of the micro-planning exercise were a detailed micro-plan that served as a guide in ensuring that every eligible individual in the population was vaccinated with potent vaccine. A national Trainer of Trainers training was done to equip key officers with new knowledge and skills in developing micro-plans at all levels. The micro planning was done using a mobile phone app, the doforms that enabled data to be transmitted real time to the national level. The objective of the study was to establish whether use of mobile phone app would contribute to quality of sub national micro plans that can be used for national level planning and implementation of the campaign. Methods There were 9 data collection forms but only forms 1-7 were to be uploaded onto the app. Forms 8A and 9A were to be filled but were to remain at the implementation level for use intra campaign. The forms were coded; Form 1A&B, 2A, 3A, 4A, 5A, 6A, 7A, 8A and 9A The Village form (form 1A&B) captured information by household which included village names, name of head of household, cell phone contact of head of household, number of children aged 9 months to 14years in the household, possible barriers to reaching the children, appropriate vaccination strategy based on barriers identified and estimated or proposed number of teams and type. This was the main form and from this every other form picked the population figures to estimate other supplies and logistics. On advocacy, communication and social mobilization the information collected included mobile network coverage, public amenities such as churches, mosques and key partners at the local level. On human resource and cold chain supplies the information collected included number of health facilities by type, number of health workers by cadre in facilities within the village, number of vaccine carriers and icepacks by size, refrigerators and freezers. All these forms were to be uploaded onto the phone app. except form 8A, the individual team plan, which was to be used during implementation at the local level. Android phone application, doforms, was used to capture data. Training on micro planning, data entry and doforms app was conducted at National, County, Sub-county and ward levels using standardized guidelines. An interactive case study was used in all the trainings to facilitate understanding. The App was also available on Laptops through its provided web-application. The app allowed multiple users to log in concurrently. Feedback on all the variables were obtained from the team at the Ward level. The ward level team included education officers or teachers, village elders, community health workers and other community stakeholders. Only the Ward level was allowed to collect information on paper and that information was subsequently transferred to the phone-based app, doforms, by health information officers. The national, county and sub county were able to access their data from the app using a password provided by the administrator. Results Real time data was received from 46 of 47 counties. One county (Marsabit) did not participate in the micro plan process. Over 97% (283/290) of the sub counties responded and shared various information via the app. Different data forms had different completion rates. There was 100% completion rate for the data on villages and target population. Much valuable information was shared but there was no time for the national and county level to interrogate and harmonize for proper implementation. The information captured during the campaign can be used for routine immunization and other community based interventions. Electronic data collection not only provided the number of children but provided the locations also where these children could be found. Conclusion Despite the limitations of time to harmonize the micro plans with the national plan, the micro planning process was a great success with 46/47 counties responding through the mobile phone app. Not only did it provide the numbers of the target children, it further provided the places where these children could be found. There was timely data transfer, data integrity, tracking, real time data visualization reporting and analysis. The app enabled real time feedback to national focal point by data entry clerks as well as enabling trouble shooting by the administrator. This ensured campaign planning was done from the lowest level to the national level. PMID:29296151

Power Grid Construction Project Portfolio Optimization Based on Bi-level programming model

NASA Astrophysics Data System (ADS)

Zhao, Erdong; Li, Shangqi

2017-08-01

As the main body of power grid operation, county-level power supply enterprises undertake an important emission to guarantee the security of power grid operation and safeguard social power using order. The optimization of grid construction projects has been a key issue of power supply capacity and service level of grid enterprises. According to the actual situation of power grid construction project optimization of county-level power enterprises, on the basis of qualitative analysis of the projects, this paper builds a Bi-level programming model based on quantitative analysis. The upper layer of the model is the target restriction of the optimal portfolio; the lower layer of the model is enterprises’ financial restrictions on the size of the enterprise project portfolio. Finally, using a real example to illustrate operation proceeding and the optimization result of the model. Through qualitative analysis and quantitative analysis, the bi-level programming model improves the accuracy and normative standardization of power grid enterprises projects.

Franklin County, Ohio Deceased Child Review System. Working To Eliminate Preventable Child Deaths. 1992 Annual Report.

ERIC Educational Resources Information Center

Schirner, Pamela; Griggs, Harry

In 1988, Franklin County (Ohio) Children Services (FCCS) initiated the development of a bi-level, community-based, multi-disciplinary process to review all deaths of children in its open caseload, as well as child deaths in families with which FCCS had contact in the previous 12 months. This report examines the work of the Deceased Child Review…

Kids Count in Michigan Data Book, 2000: County Profiles of Child and Family Well-Being.

ERIC Educational Resources Information Center

Zehnder-Merrell, Jane

This Kids Count data book for 2000 examines statewide and county level trends in the well-being of Michigan's children. The statistical portrait is based on indicators of well-being in the areas of: (1) economic security; (2) child health; (3) child safety; (4) adolescence; and (5) education. Part 1 of the data book reviews Michigan's progress on…

Future economic outlook of Nebraska rural community pharmacies based on break-even analysis of community operational costs and county population.

PubMed

Keast, Shellie L; Jacobs, Elgene; Harrison, Donald; Farmer, Kevin; Thompson, David

2010-09-01

There is growing concern over increasingly limited access to local health care, including pharmacies, for rural citizens of the United States. Although geographically distant from most competitors, rural pharmacies may still struggle to generate an acceptable profit to remain economically viable. Therefore, a method for calculating the economic viability for a community pharmacy to recruit a potential new owner to assume the entrepreneurial risk is an important issue to consider when evaluating rural pharmacy access. The primary objective of this study was to use a modified break-even analysis to predict the future financial potential of the current pharmacy business to attract a new owner. The secondary objective was to forecast a risk level for a Nebraska county to sustain the number of pharmacies in the country beyond current ownership. This research used data provided by pharmacies that responded to a Nebraska Medicaid cost of dispensing (COD) survey in addition to data from the US Census Bureau, US Office of Management and Budget, and the Nebraska State Board of Pharmacy. Break-even analysis was used to determine the point where the prescription volume of the pharmacy not only covered the variable and fixed costs but also maintained a reasonable profit to attract new ownership. Counties were classified into 3 risk levels based on the projected available prescription volume and the number of pharmacies in each county. Sensitivity analysis was performed on the risk levels to determine the impact of variance in projected available prescription volume on the projected future outlook for the pharmacies in each county. Regression analysis of responses to the COD survey indicated that the annual break-even prescription volume ranged from 44,790 to 49,246 prescriptions per pharmacy per annum. The number of rural Nebraska pharmacies was projected to decline from 126 to 78. The number of counties in Nebraska without a single pharmacy was projected to increase from 19 to 26, and the number of counties with just one pharmacy was projected to increase from 17 to 31. Thus, the number of counties with 1 or no pharmacy was projected to increase to 57 out of the total 93 Nebraska counties. The forecasted closure of pharmacies in rural areas will cause significant portions of the state to be without a pharmacy. Low county populations will be unable to sustain a local prescription volume large enough to remove them from the high risk of pharmacy closure. Copyright 2010 Elsevier Inc. All rights reserved.

Ground-water levels in Huron County, Michigan, January 1995 through December 1995

USGS Publications Warehouse

Sweat, M.J.

1996-01-01

In 1990, the U.S. Geological Survey (USGS) completed a study of the hydrogeology of Huron County, Michigan (Sweat, 1991). In 1993, Huron County and the USGS entered into an agreement to continue collecting water levels at selected wells throughout Huron County. As part of the agreement, the USGS has provided training and instrumentation for County personnel to measure, on a quarterly basis, the depth to water below the land surface in selected wells. The agreement includes the operation of continuous water-level recorders installed on four wells in Bingham, Fairhaven, Grant and Lake Townships (fig. 1). County personnel make quarterly water-level measurements of 22 other wells. Once each year, County personnel are accompanied by USGS personnel who provide a quality assurance/quality control check of all measurements being made.

Study on GIS Visualization in Evaluation of the Human Living Environment in Shenyang-Dalian Urban Agglomeration

PubMed Central

Hou, Kang; Zhou, Jieting; Li, Xuxiang; Ge, Shengbin

2016-01-01

Analysis of human living environmental quality of Shenyang-Dalian urban agglomerations has important theoretical and practical significance in rapid development region. A lot of investigations have been carried for Shenyang-Dalian urban agglomerations, including 38 counties. Based on the carrying capacity of resources, natural and socioeconomic environmental factors and regional changes of human living environmental evaluation are analyzed with the application of geographic information systems (GIS) software. By using principal component analysis (PCA) model and natural breaks classification (NBC) method, the evaluation results are divided into five categories. The results show that the human living environmental evaluation (HLEE) indexes of Dalian, Shenyang, and Liaoyang are higher than other counties. Among these counties, the human living environmental evaluation (HLEE) indexes of coastal counties are significantly higher than inland counties. The range of the human living environmental evaluation index in most of the study area is at III, IV, and V levels, accounting for 80.01%. Based on these results, it could illustrate the human living environment is in relatively suitable condition in Shenyang-Dalian urban agglomeration. PMID:27200212

Average County-Level IQ Predicts County-Level Disadvantage and Several County-Level Mortality Risk Rates

ERIC Educational Resources Information Center

Barnes, J. C.; Beaver, Kevin M.; Boutwell, Brian B.

2013-01-01

Research utilizing individual-level data has reported a link between intelligence (IQ) scores and health problems, including early mortality risk. A growing body of evidence has found similar associations at higher levels of aggregation such as the state- and national-level. At the same time, individual-level research has suggested the…

County-Level Variation in the Prevalence of Medicaid-Enrolled Children with Autism Spectrum Disorders

ERIC Educational Resources Information Center

Mandell, David S.; Morales, Knashawn H.; Xie, Ming; Polsky, Daniel; Stahmer, Aubyn; Marcus, Steven C.

2010-01-01

This study examined how county-level resources are associated with the identification of children with autism spectrum disorders (ASD) in Medicaid. Medicaid claims from 2004 were combined with county-level data. There were 61,891 children diagnosed with ASD in the Medicaid system in 2004. Counties with lower per-student education expenditures,…

The dissemination of motivational interviewing in Swedish county councils: Results of a randomized controlled trial

PubMed Central

Forsberg, Lars; Lindqvist, Helena; Diez, Margarita; Enö Persson, Johanna; Ghaderi, Ata

2017-01-01

Objective A significant number of Swedish practitioners are offered workshop trainings in motivational interviewing through community-based implementation programs. The objective of this randomized controlled trial was to evaluate to what extent the practitioners acquire and retain skills from additional supervision consisting of feedback based on monitoring of practice. Materials and methods A total of 174 practitioners in five county councils across Sweden were randomized to one of the study's two groups: 1) Regular county council workshop training, 2) Regular county council workshop training followed by six sessions of supervision. The participant’s mean age was 43.3 years, and the majority were females (88.1%). Results Recruiting participants proved difficult, which may have led to a biased sample of practitioners highly motivated to learn the method. Although slightly different in form and content, all the workshop trainings increased the participants’ skills to the same level. Also, consistent with previous research, the additional supervision group showed larger gains in proficiency compared to the group who received workshop training only at the six-month follow-up. However, analyses showed generally maintained levels of skills for all the participants at the follow-up assessment, and the majority of participants did not attain beginning proficiency levels at either post-workshop or follow-up. Conclusions The results of this study address the real-life implications of dissemination of evidence-based practices. The maintained level of elevated skills for all participants is a promising finding. However, the low interest for obtaining additional supervision among the Swedish practitioners is problematic. In addition, neither the workshop trainings nor the additional supervision, although improving skills, were sufficient for most of the participants to reach beginning proficiency levels. This raises questions regarding the most efficient form of training to attain and sustain adequate practice standards, and how to create incentive and interest among practitioners to participate in such training. PMID:28750067

Potentiometric surfaces and water-level trends in the Cockfield (upper Claiborne) aquifer in southern Arkansas and the Wilcox (lower Wilcox) aquifer of northeastern and southern Arkansas, 2012

USGS Publications Warehouse

Rodgers, Kirk D.

2015-01-01

Linear regression analysis of long-term hydrographs was used to determine the mean annual water-level rise and decline in the Wilcox aquifer in the northeastern and southern areas of Arkansas. In the northeastern area, the mean annual water level declined in all seven counties. The mean annual declines ranged from -0.55 ft/yr in Craighead County to -1.46 ft/yr in St. Francis County. In the southern area, the annual rise and decline calculations for wells with over 20 years of records indicate rising and declining water levels in Clark, Hot Spring, and Nevada Counties. The mean annual water level declined in all counties except Hot Spring County.

Water Levels In Major Artesian Aquifers Of The New Jersey Coastal Plain, 1988

USGS Publications Warehouse

Rosman, Robert; Lacombe, Pierre J.; Storck, Donald A.

1995-01-01

Water levels in 1,251 wells in the New Jersey Coastal Plain, Philadelphia County, Pennsylvania, and Kent and New Castle Counties, Delaware, were measured from October 1988 to February 1989 and compared with 1,071 water levels measured from September 1983 to May 1984. Water levels in 916 of the wells measured in the 1983 study were remeasured in the 1988 study. Alternate wells were selected to replace wells used in 1983 that were inaccessible at the time of the water-level measurements in 1988 or had been destroyed. New well sites were added in strategic locations to increase coverage where possible. Large cones of depression have formed or expanded in the nine major artesian aquifers that underlie the New Jersey Coastal Plain. Water levels are shown on nine potentiometric-surface maps. Hydrographs for observation wells typically show water-level declines for 1983, through 1989. In the confined Cohansey aquifer, the lowest water level, 20 feet below sea level, was measured in a well located at Cape May City Water Department, Cape May County. Water levels in the Atlantic City 800-foot sand declined as much as 21 feet at Ventnor, Atlantic County, over the 6-year period from the 1983 study to this study for 1988. Water levels in the Piney Point aquifer were as low as 56 feet below sea level at Seaside Park, Ocean County; 45 feet below sea level in southern Cumberland County; and 28 feet below sea level at Margate, Atlantic County. Water levels in the Vincentown aquifer did not change over the 6-year period. The lowest water levels in the Wenonah-Mount Laurel aquifer and the Englishtown aquifer system were 218 feet and 256 feet below sea level, respectively. Large cones of depression in the Potomac- Raritan-Magothy aquifer system are centered in the Camden County area and the Middlesex and Monmouth County area. Water levels declined as much as 46 feet in these areas over the 6-year period.

State Firearm Laws and Interstate Firearm Deaths From Homicide and Suicide in the United States: A Cross-sectional Analysis of Data by County.

PubMed

Kaufman, Elinore J; Morrison, Christopher N; Branas, Charles C; Wiebe, Douglas J

2018-03-05

Firearm laws in one state may be associated with increased firearm death rates from homicide and suicide in neighboring states are uncertain. To determine whether counties located closer to states with lenient firearm policies have higher firearm death rates. This cross-sectional study of firearm death rates by county for January 2010 to December 2014 examined data from the US Centers for Disease Control and Prevention for firearm suicide and homicide decedents for 3108 counties in the 48 contiguous states of the United States. Each county was assigned 2 scores, a state policy score (range, 0-12) based on the strength of its state firearm laws, and an interstate policy score (range, -1.33 to 8.31) based on the sum of population-weighted and distance-decayed policy scores for all other states. Counties were divided into those with low, medium, and high home state and interstate policy scores. County-level rates of firearm, nonfirearm, and total homicide and suicide. With multilevel Bayesian spatial Poisson models, we generated incidence rate ratios (IRR) comparing incidence rates between each group of counties and the reference group, counties with high home state and high interstate policy scores. Stronger firearm laws in a state were associated with lower firearm suicide rates and lower overall suicide rates regardless of the strength of the other states' laws. Counties with low state scores had the highest rates of firearm suicide. Rates were similar across levels of interstate policy score (low: IRR, 1.34; 95% credible interval [CI], 1.11-1.65; medium: IRR, 1.36, (95% CI, 1.15-1.65; and high: IRR, 1.43; 95% CI, 1.20-1.73). Counties with low state and low or medium interstate policy scores had the highest rates of firearm homicide. Counties with low home state and interstate scores had higher firearm homicide rates (IRR, 1.38; 95% CI, 1.02-1.88) and overall homicide rates (IRR, 1.32; 95% CI, 1.03-1.67). Counties in states with low firearm policy scores had lower rates of firearm homicide only if the interstate firearm policy score was high. Strong state firearm policies were associated with lower suicide rates regardless of other states' laws. Strong policies were associated with lower homicide rates, and strong interstate policies were also associated with lower homicide rates, where home state policies were permissive. Strengthening state firearm policies may prevent firearm suicide and homicide, with benefits that may extend beyond state lines.

[Key points of poverty alleviation of Chinese herbal medicine industry and classification of recommended Chinese herbal medicines].

PubMed

Huang, Lu-Qi; Su, Gang-Qiang; Zhang, Xiao-Bo; Sun, Xiao-Ming; Wu, Xiao-Jun; Guo, Lan-Ping; Li, Meng; Wang, Hui; Jing, Zhi-Xian

2017-11-01

To build a well-off society in an all-round way, eliminate poverty, improve people's livelihood and improve the level of social and economic development in poverty-stricken areas is the frontier issues of the government and science and technology workers at all levels. Chinese herbal medicine is the strategic resource of the people's livelihood, Chinese herbal medicine cultivation is an important part of China's rural poor population income. As most of the production of Chinese herbal medicine by the biological characteristics of their own and the interaction of natural ecological environment factors, showing a strong regional character.the Ministry of Traditional Chinese Medicine and the State Council Poverty Alleviation Office and other five departments jointly issued the "China Herbal Industry Poverty Alleviation Action Plan (2017-2020)", according to local conditions of guidance and planning of Chinese herbal medicine production practice, promote Chinese herbal medicine industry poverty alleviation related work In this paper, based on the relevant data of poverty-stricken areas, this paper divides the areas with priority to the poverty alleviation conditions of Chinese herbal medicine industry, and analyzes and catalogs the list of Chinese herbal medicines grown in poverty-stricken areas at the macro level. The results show that there are at least 10% of the poor counties in the counties where the poverty-stricken counties and the concentrated areas are concentrated in the poverty-stricken areas. There is already a good base of Chinese herbal medicine industry, which is the key priority area for poverty alleviation of Chinese herbal medicine industry. Poverty-stricken counties, with a certain degree of development of Chinese medicine industry poverty alleviation conditions, the need to strengthen the relevant work to expand the foundation and capacity of Chinese herbal medicine industry poverty alleviation; 37% of poor counties to develop Chinese medicine industry, the basic conditions of poverty alleviation. It is suggested that: prioritized priorities, counties that have a good foundation for Chinese herbal medicine industry will implement the "Poverty Alleviation Action Plan for Chinese Herbal Medicine Industry" through nearly 100 counties with priority development. Copyright© by the Chinese Pharmaceutical Association.

A Systematic Evaluation of Different Methods for Calculating Adolescent Vaccination Levels Using Immunization Information System Data

PubMed Central

Gowda, Charitha; Dong, Shiming; Potter, Rachel C.; Dombkowski, Kevin J.; Stokley, Shannon

2013-01-01

Objective Immunization information systems (IISs) are valuable surveillance tools; however, population relocation may introduce bias when determining immunization coverage. We explored alternative methods for estimating the vaccine-eligible population when calculating adolescent immunization levels using a statewide IIS. Methods We performed a retrospective analysis of the Michigan State Care Improvement Registry (MCIR) for all adolescents aged 11–18 years registered in the MCIR as of October 2010. We explored four methods for determining denominators: (1) including all adolescents with MCIR records, (2) excluding adolescents with out-of-state residence, (3) further excluding those without MCIR activity ≥10 years prior to the evaluation date, and (4) using a denominator based on U.S. Census data. We estimated state- and county-specific coverage levels for four adolescent vaccines. Results We found a 20% difference in estimated vaccination coverage between the most inclusive and restrictive denominator populations. Although there was some variability among the four methods in vaccination at the state level (2%–11%), greater variation occurred at the county level (up to 21%). This variation was substantial enough to potentially impact public health assessments of immunization programs. Generally, vaccines with higher coverage levels had greater absolute variation, as did counties with smaller populations. Conclusion At the county level, using the four denominator calculation methods resulted in substantial differences in estimated adolescent immunization rates that were less apparent when aggregated at the state level. Further research is needed to ascertain the most appropriate method for estimating vaccine coverage levels using IIS data. PMID:24179260

Associations of neighborhood-level workplace violence with workers' mental distress problems: a multilevel analysis of Taiwanese employees.

PubMed

Pien, Li-Chung; Chen, Duan-Rung; Chen, Chiou-Jong; Liang, Kuei-Min; Cheng, Yawen

2015-01-01

Workplace violence is known to pose mental health risks. However, whether or not workplace violence in a surrounding area might further increase the risk of mental distress in workers has rarely been examined. The study subjects were 9,393 male and 7,716 female employees who participated in a nationwide survey in 2010. Their personal experiences of workplace violence over the past 1 year were ascertained by a standardized questionnaire. Also assessed were their psychosocial work characteristics and mental distress problems. Neighborhood-level workplace violence was computed based on aggregated data at the county level and was categorized into low-, medium-, and high-level categories. Multilevel logistic regression models were constructed to examine the associations between neighborhood-level workplace violence and individual-level mental distress problems, with adjustment of individual-level experience of workplace violence. The neighborhood-level prevalence of workplace violence ranged from 4.7 to 14.7% in men and from 6.4 to 14.8% in women across 22 counties. As compared with those who live in counties of the lowest tertile of workplace violence, female workers who lived in counties of the highest tertile of workplace violence had a 1.72-fold increased risk for mental distress problems after controlling for individual experience of workplace violence and other psychosocial work characteristics. Neighborhood-level workplace violence was associated with poor mental health in female workers. Preventative strategies targeting workplace violence should pay attention to neighborhood factors and gender-specific effects that might influence societal tolerance of abusive work practices and workers' vulnerability to mental health impacts of workplace violence.

Construction of transit-based development

DOT National Transportation Integrated Search

2001-09-01

This project reviews policies and legislative programs that can be adopted at all levels of government to encourage transit-based development. The study focuses on local government implementation since it is cities and counties that have the land use...

6. SOUTH SIDE, DETAIL OF BULLET GLASS WINDOWS AT GROUND ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

6. SOUTH SIDE, DETAIL OF BULLET GLASS WINDOWS AT GROUND LEVEL. - Edwards Air Force Base, South Base Sled Track, Firing Control Blockhouse, South of Sled Track at east end, Lancaster, Los Angeles County, CA

Base (100-year) flood elevations for selected sites in Marion County, Missouri

USGS Publications Warehouse

Southard, Rodney E.; Wilson, Gary L.

1998-01-01

The primary requirement for community participation in the National Flood Insurance Program is the adoption and enforcement of floodplain management requirements that minimize the potential for flood damages to new construction and avoid aggravating existing flooding conditions. This report provides base flood elevations (BFE) for a 100-year recurrence flood for use in the management and regulation of 14 flood-hazard areas designated by the Federal Emergency Management Agency as approximate Zone A areas in Marion County, Missouri. The one-dimensional surface-water flow model, HEC-RAS, was used to compute the base (100-year) flood elevations for the 14 Zone A sites. The 14 sites were located at U.S., State, or County road crossings and the base flood elevation was determined at the upstream side of each crossing. The base (100-year) flood elevations for BFE 1, 2, and 3 on the South Fork North River near Monroe City, Missouri, are 627.7, 579.2, and 545.9 feet above sea level. The base (100-year) flood elevations for BFE 4, 5, 6, and 7 on the main stem of the North River near or at Philadelphia and Palmyra, Missouri, are 560.5, 539.7, 504.2, and 494.4 feet above sea level. BFE 8 is located on Big Branch near Philadelphia, a tributary to the North River, and the base (100-year) flood elevation at this site is 530.5 feet above sea level. One site (BFE 9) is located on the South River near Monroe City, Missouri. The base (100-year) flood elevation at this site is 619.1 feet above sea level. Site BFE 10 is located on Bear Creek near Hannibal, Missouri, and the base (100-year) elevation is 565.5 feet above sea level. The four remaining sites (BFE 11, 12, 13, and 14) are located on the South Fabius River near Philadelphia and Palmyra, Missouri. The base (100-year) flood elevations for BFE 11, 12, 13, and 14 are 591.2, 578.4, 538.7, and 506.9 feet above sea level.

Assessing Risk-Based Policies for Pretrial Release and Split Sentencing in Los Angeles County Jails

PubMed Central

Usta, Mericcan; Wein, Lawrence M.

2015-01-01

Court-mandated downsizing of the CA prison system has led to a redistribution of detainees from prisons to CA county jails, and subsequent jail overcrowding. Using data that is representative of the LA County jail system, we build a mathematical model that tracks the flow of individuals during arraignment, pretrial release or detention, case disposition, jail sentence, and possible recidivism during pretrial release, after a failure to appear in court, during non-felony probation and during felony supervision. We assess 64 joint pretrial release and split-sentencing (where low-level felon sentences are split between jail time and mandatory supervision) policies that are based on the type of charge (felony or non-felony) and the risk category as determined by the CA Static Risk Assessment tool, and compare their performance to that of the policy LA County used in early 2014, before split sentencing was in use. In our model, policies that offer split sentences to all low-level felons optimize the key tradeoff between public safety and jail congestion by, e.g., simultaneously reducing the rearrest rate by 7% and the mean jail population by 20% relative to the policy LA County used in 2014. The effectiveness of split sentencing is due to two facts: (i) convicted felony offenders comprised ≈ 45% of LA County’s jail population in 2014, and (ii) compared to pretrial release, split sentencing exposes offenders to much less time under recidivism risk per saved jail day. PMID:26714283

Spatial analysis of malaria in Anhui province, China

PubMed Central

Zhang, Wenyi; Wang, Liping; Fang, Liqun; Ma, Jiaqi; Xu, Youfu; Jiang, Jiafu; Hui, Fengming; Wang, Jianjun; Liang, Song; Yang, Hong; Cao, Wuchun

2008-01-01

Background Malaria has re-emerged in Anhui Province, China, and this province was the most seriously affected by malaria during 2005–2006. It is necessary to understand the spatial distribution of malaria cases and to identify highly endemic areas for future public health planning and resource allocation in Anhui Province. Methods The annual average incidence at the county level was calculated using malaria cases reported between 2000 and 2006 in Anhui Province. GIS-based spatial analyses were conducted to detect spatial distribution and clustering of malaria incidence at the county level. Results The spatial distribution of malaria cases in Anhui Province from 2000 to 2006 was mapped at the county level to show crude incidence, excess hazard and spatial smoothed incidence. Spatial cluster analysis suggested 10 and 24 counties were at increased risk for malaria (P < 0.001) with the maximum spatial cluster sizes at < 50% and < 25% of the total population, respectively. Conclusion The application of GIS, together with spatial statistical techniques, provide a means to quantify explicit malaria risks and to further identify environmental factors responsible for the re-emerged malaria risks. Future public health planning and resource allocation in Anhui Province should be focused on the maximum spatial cluster region. PMID:18847489

Displacement, county social cohesion and depression after a large-scale traumatic event

PubMed Central

Lê, Félice; Tracy, Melissa; Norris, Fran H.; Galea, Sandro

2013-01-01

Background Depression is a common and potentially debilitating consequence of traumatic events. Mass traumatic events cause wide-ranging disruptions to community characteristics, influencing the population risk of depression. In the aftermath of such events, population displacement is common. Stressors associated with displacement may increase risk of depression directly. Indirectly, persons who are displaced may experience erosion in social cohesion, further exacerbating their risk for depression. Methods Using data from a population-based cross-sectional survey of adults living in the 23 southernmost counties of Mississippi (N = 708), we modeled the independent and joint relations of displacement and county-level social cohesion with depression 18–24 months after Hurricane Katrina. Results After adjustment for individual- and county-level sociodemographic characteristics and county-level hurricane exposure, joint exposure to both displacement and low social cohesion was associated with substantially higher log-odds of depression (b = 1.34 [0.86–1.83]). Associations were much weaker for exposure only to low social cohesion (b = 0.28 [−0.35–0.90]) or only to displacement (b = 0.04 [−0.80– 0.88]). The associations were robust to additional adjustment for individually perceived social cohesion and social support. Conclusion Addressing the multiple, simultaneous disruptions that are a hallmark of mass traumatic events is important to identify vulnerable populations and understand the psychological ramifications of these events. PMID:23644724

NREL Biomethane GIS Data

DOE Data Explorer

Milbrandt, Anelia

2016-06-15

This dataset contains information about the biomass resources generated by county in the United States. It includes the following feedstock categories: crop residues, forest residues, primary mill residues, secondary mill residues, and urban wood waste. The estimates are based on county-level statistics and/or point-source data gathered from the U.S. Department of Agriculture (USDA), USDA Forest Service, EPA and other organizations, which are further processed using relevant assumptions and conversions.

Lessons Learned From Community-Based Approaches to Sodium Reduction

PubMed Central

Kane, Heather; Strazza, Karen; Losby PhD, Jan L.; Lane, Rashon; Mugavero, Kristy; Anater, Andrea S.; Frost, Corey; Margolis, Marjorie; Hersey, James

2017-01-01

Purpose This article describes lessons from a Centers for Disease Control and Prevention initiative encompassing sodium reduction interventions in six communities. Design A multiple case study design was used. Setting This evaluation examined data from programs implemented in six communities located in New York (Broome County, Schenectady County, and New York City); California (Los Angeles County and Shasta County); and Kansas (Shawnee County). Subjects Participants (n = 80) included program staff, program directors, state-level staff, and partners. Measures Measures for this evaluation included challenges, facilitators, and lessons learned from implementing sodium reduction strategies. Analysis The project team conducted a document review of program materials and semi structured interviews 12 to 14 months after implementation. The team coded and analyzed data deductively and inductively. Results Five lessons for implementing community-based sodium reduction approaches emerged: (1) build relationships with partners to understand their concerns, (2) involve individuals knowledgeable about specific venues early, (3) incorporate sodium reduction efforts and messaging into broader nutrition efforts, (4) design the program to reduce sodium gradually to take into account consumer preferences and taste transitions, and (5) identify ways to address the cost of lower-sodium products. Conclusion The experiences of the six communities may assist practitioners in planning community-based sodium reduction interventions. Addressing sodium reduction using a community-based approach can foster meaningful change in dietary sodium consumption. PMID:24575726

Pollution and regional variations of lung cancer mortality in the United States.

PubMed

Moore, Justin Xavier; Akinyemiju, Tomi; Wang, Henry E

2017-08-01

The aims of this study were to identify counties in the United States (US) with high rates of lung cancer mortality, and to characterize the associated community-level factors while focusing on particulate-matter pollution. We performed a descriptive analysis of lung cancer deaths in the US from 2004 through 2014. We categorized counties as "clustered" or "non-clustered" - based on whether or not they had high lung cancer mortality rates - using novel geospatial autocorrelation methods. We contrasted community characteristics between cluster categories. We performed logistic regression for the association between cluster category and particulate-matter pollution. Among 362 counties (11.6%) categorized as clustered, the age-adjusted lung cancer mortality rate was 99.70 deaths per 100,000 persons (95%CI: 99.1-100.3). Compared with non-clustered counties, clustered counties were more likely in the south (72.9% versus 42.1%, P<0.01) and in non-urban communities (73.2% versus 57.4, P<0.01). Clustered counties had greater particulate-matter pollution, lower education and income, higher rates of obesity and physical inactivity, less access to healthcare, and greater unemployment rates (P<0.01). Higher levels of particulate-matter pollution (4th quartile versus 1st quartile) were associated with two-fold greater odds of being a clustered county (adjusted OR: 2.10; 95%CI: 1.23-3.59). We observed a belt of counties with high lung mortality ranging from eastern Oklahoma through central Appalachia; these counties were characterized by higher pollution, a more rural population, lower socioeconomic status and poorer access to healthcare. To mitigate the burden of lung cancer mortality in the US, both urban and rural areas should consider minimizing air pollution. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Wind Energy Conversion System Analysis Model (WECSAM) computer program documentation

NASA Astrophysics Data System (ADS)

Downey, W. T.; Hendrick, P. L.

1982-07-01

Described is a computer-based wind energy conversion system analysis model (WECSAM) developed to predict the technical and economic performance of wind energy conversion systems (WECS). The model is written in CDC FORTRAN V. The version described accesses a data base containing wind resource data, application loads, WECS performance characteristics, utility rates, state taxes, and state subsidies for a six state region (Minnesota, Michigan, Wisconsin, Illinois, Ohio, and Indiana). The model is designed for analysis at the county level. The computer model includes a technical performance module and an economic evaluation module. The modules can be run separately or together. The model can be run for any single user-selected county within the region or looped automatically through all counties within the region. In addition, the model has a restart capability that allows the user to modify any data-base value written to a scratch file prior to the technical or economic evaluation.

Sustainable-yield estimation for the Sparta Aquifer in Union County, Arkansas

USGS Publications Warehouse

Hays, Phillip D.

2000-01-01

Options for utilizing alternative sources of water to alleviate overdraft from the Sparta aquifer and ensure that the aquifer can continue to provide abundant water of excellent quality for the future are being evaluated by water managers in Union County. Sustainable yield is a critical element in identifying and designing viable water supply alternatives. With sustainable yield defined and a knowledge of total water demand in an area, any unmet demand can be calculated. The ground-water flow model of the Sparta aquifer was used to estimate sustainable yield using an iterative approach. The Sparta aquifer is a confined aquifer of regional importance that comprises a sequence of unconsolidated sand units that are contained within the Sparta Sand. Currently, the rate of withdrawal in some areas greatly exceeds the rate of recharge to the aquifer and considerable water-level declines have occurred. Ground-water flow model results indicate that the aquifer cannot continue to meet growing water-use demands indefinitely and that water levels will drop below the top of the primary producing sand unit in Union County (locally termed the El Dorado sand) by 2008 if current water-use trends continue. Declines of that magnitude will initiate dewatering of the El Dorado sand. The sustainable yield of the aquifer was calculated by targeting a specified minimum acceptable water level within Union County and varying Union County pumpage within the model to achieve the target water level. Selection of the minimum target water level for sustainable-yield estimation was an important criterion for the modeling effort. In keeping with the State Critical Ground-Water Area designation criteria and the desire of water managers in Union County to improve aquifer conditions and bring the area out of the Critical Ground-Water Area designation, the approximate altitude of the top of the Sparta Sand in central Union County was used as the minimum water level target for estimation of sustainable yield in the county. A specific category of sustainable yield? stabilization yield, reflecting the amount of water that the aquifer can provide while maintaining current water levels? also was determined and provides information for short-term management. The top of the primary producing sand unit (the El Dorado sand) was used as the minimum water-level target for estimating stabilization yield in the county because current minimum water levels in central Union County are near the top of the El Dorado sand. Model results show that withdrawals from the Sparta aquifer in Union County must be reduced to 28 percent of 1997 values to achieve sustainable yield and maintain water levels at the top of the Sparta Sand if future pumpage outside of Union County is assumed to increase at the rate observed from 1985-1997. Results of the simulation define a very large current unmet demand and represent a substantial reduction in the county?s current dependence upon the aquifer. If future pumpage outside of Union County is assumed to increase at double the rate observed from 1985-1997, withdrawals from the Sparta aquifer in Union County must be reduced to 25 percent of 1997 values to achieve sustainable yield. Withdrawals from the Sparta aquifer in Union County must be reduced to about 88 to 91 percent (depending on pumpage growth outside of the county) of 1997 values to stabilize water levels at the top of the El Dorado sand. This result shows that 1997 rate of withdrawal in the county is considerably greater than the rate needed to halt the rapid decline in water levels.

Disability in society-medical and non-medical determinants for disability pension in a Norwegian total county population study.

PubMed

Krokstad, Steinar; Westin, Steinar

2004-05-01

The objective of this study was to describe sociomedical determinants and developments for the medically based disability pension in Norway by linking individual based data from a county health survey to data on disability from the National Insurance Administration. Two cross-sectional total population health surveys with an approximate 10-year interval were conducted in Nord-Trøndelag county, HUNT I (1984-86) and HUNT II (1995-97), which allows for analyses of changes over time, supplied with official incidence data on disability pension. The large-scale variations and overall increasing incidence rates of disability pension in Norway during the last 20 years also applied to the county of Nord-Trøndelag. The prevalence of disability pension generally increased in the population from the mid-1980s to the mid-1990s. A striking finding was a consistent pattern of increasing prevalence of disability pension with decreasing socio-economic status and education. A geographic pattern for disability pension prevalence on a municipality level suggested that structural and cultural factors were important in determining the level of disability in society. Medical determinants alone cannot explain either the dramatic variations or the overall increased incidence rates of disability pension in the last two decades in Norway. The results demonstrate the importance of social, non-medical and contextual determinants for disability pension, how these determinants result in important prevalence differences by socio-economic status, and their impact on the level of disability in society.

A GIS-based vulnerability assessment of brine contamination to aquatic resources from oil and gas development in eastern Sheridan County, Montana.

PubMed

Preston, Todd M; Chesley-Preston, Tara L; Thamke, Joanna N

2014-02-15

Water (brine) co-produced with oil in the Williston Basin is some of the most saline in the nation. The Prairie Pothole Region (PPR), characterized by glacial sediments and numerous wetlands, covers the northern and eastern portion of the Williston Basin. Sheridan County, Montana, lies within the PPR and has a documented history of brine contamination. Surface water and shallow groundwater in the PPR are saline and sulfate dominated while the deeper brines are much more saline and chloride dominated. A Contamination Index (CI), defined as the ratio of chloride concentration to specific conductance in a water sample, was developed by the Montana Bureau of Mines and Geology to delineate the magnitude of brine contamination in Sheridan County. Values >0.035 indicate contamination. Recently, the U.S. Geological Survey completed a county level geographic information system (GIS)-based vulnerability assessment of brine contamination to aquatic resources in the PPR of the Williston Basin based on the age and density of oil wells, number of wetlands, and stream length per county. To validate and better define this assessment, a similar approach was applied in eastern Sheridan County at a greater level of detail (the 2.59 km(2) Public Land Survey System section grid) and included surficial geology. Vulnerability assessment scores were calculated for the 780 modeled sections and these scores were divided into ten equal interval bins representing similar probabilities of contamination. Two surface water and two groundwater samples were collected from the section with the greatest acreage of Federal land in each bin. Nineteen of the forty water samples, and at least one water sample from seven of the ten selected sections, had CI values indicating contamination. Additionally, CI values generally increased with increasing vulnerability assessment score, with a stronger correlation for groundwater samples (R(2)=0.78) than surface water samples (R(2)=0.53). Copyright © 2013 Elsevier B.V. All rights reserved.

A GIS-based vulnerability assessment of brine contamination to aquatic resources from oil and gas development in eastern Sheridan County, Montana

USGS Publications Warehouse

Preston, Todd M.; Chesley-Preston, Tara L.; Thamke, Joanna N.

2014-01-01

Water (brine) co-produced with oil in the Williston Basin is some of the most saline in the nation. The Prairie Pothole Region (PPR), characterized by glacial sediments and numerous wetlands, covers the northern and eastern portion of the Williston Basin. Sheridan County, Montana, lies within the PPR and has a documented history of brine contamination. Surface water and shallow groundwater in the PPR are saline and sulfate dominated while the deeper brines are much more saline and chloride dominated. A Contamination Index (CI), defined as the ratio of chloride concentration to specific conductance in a water sample, was developed by the Montana Bureau of Mines and Geology to delineate the magnitude of brine contamination in Sheridan County. Values > 0.035 indicate contamination. Recently, the U.S. Geological Survey completed a county level geographic information system (GIS)-based vulnerability assessment of brine contamination to aquatic resources in the PPR of the Williston Basin based on the age and density of oil wells, number of wetlands, and stream length per county. To validate and better define this assessment, a similar approach was applied in eastern Sheridan County at a greater level of detail (the 2.59 km2 Public Land Survey System section grid) and included surficial geology. Vulnerability assessment scores were calculated for the 780 modeled sections and these scores were divided into ten equal interval bins representing similar probabilities of contamination. Two surface water and two groundwater samples were collected from the section with the greatest acreage of Federal land in each bin. Nineteen of the forty water samples, and at least one water sample from seven of the ten selected sections, had CI values indicating contamination. Additionally, CI values generally increased with increasing vulnerability assessment score, with a stronger correlation for groundwater samples (R2 = 0.78) than surface water samples (R2 = 0.53).

Creating Geologically Based Radon Potential Maps for Kentucky

NASA Astrophysics Data System (ADS)

Overfield, B.; Hahn, E.; Wiggins, A.; Andrews, W. M., Jr.

2017-12-01

Radon potential in the United States, Kentucky in particular, has historically been communicated using a single hazard level for each county; however, physical phenomena are not controlled by administrative boundaries, so single-value county maps do not reflect the significant variations in radon potential in each county. A more accurate approach uses bedrock geology as a predictive tool. A team of nurses, health educators, statisticians, and geologists partnered to create 120 county maps showing spatial variations in radon potential by intersecting residential radon test kit results (N = 60,000) with a statewide 1:24,000-scale bedrock geology coverage to determine statistically valid radon-potential estimates for each geologic unit. Maps using geology as a predictive tool for radon potential are inherently more detailed than single-value county maps. This mapping project revealed that areas in central and south-central Kentucky with the highest radon potential are underlain by shales and karstic limestones.

Tract- and County-Level Income Inequality and Individual Risk of Obesity in the United States

PubMed Central

Fan, Jessie X.; Wen, Ming; Kowaleski-Jones, Lori

2015-01-01

Objectives We tested three alternative hypotheses regarding the relationship between income inequality and individual risk of obesity at two geographical scales: U.S. Census tract and county. Methods Income inequality was measured by Gini coefficients, created from the 2000 U.S. Census. Obesity was clinically measured in the 2003–2008 National Health and Nutrition Examination Survey (NHANES). The individual measures and area measures were geo-linked to estimate three sets of multi-level models: tract only, county only, and tract and county simultaneously. Gender was tested as a moderator. Results At both the tract and county levels, higher income inequality was associated with lower individual risk of obesity. The size of the coefficient was larger for county-level Gini than for tract-level Gini; and controlling income inequality at one level did not reduce the impact of income inequality at the other level. Gender was not a significant moderator for the obesity-income inequality association. Conclusions Higher tract and county income inequality was associated with lower individual risk of obesity, indicating that at least at the tract and county levels and in the context of cross-sectional data, the public health goal of reducing the rate of obesity is in line with anti-poverty policies of addressing poverty through mixed-income development where neighborhood income inequality is likely higher than homogeneous neighborhoods. PMID:26680289

Tract- and county-level income inequality and individual risk of obesity in the United States.

PubMed

Fan, Jessie X; Wen, Ming; Kowaleski-Jones, Lori

2016-01-01

We tested three alternative hypotheses regarding the relationship between income inequality and individual risk of obesity at two geographical scales: U.S. Census tract and county. Income inequality was measured by Gini coefficients, created from the 2000 U.S. Census. Obesity was clinically measured in the 2003-2008 National Health and Nutrition Examination Survey (NHANES). The individual measures and area measures were geo-linked to estimate three sets of multi-level models: tract only, county only, and tract and county simultaneously. Gender was tested as a moderator. At both the tract and county levels, higher income inequality was associated with lower individual risk of obesity. The size of the coefficient was larger for county-level Gini than for tract-level Gini; and controlling income inequality at one level did not reduce the impact of income inequality at the other level. Gender was not a significant moderator for the obesity-income inequality association. Higher tract and county income inequality was associated with lower individual risk of obesity, indicating that at least at the tract and county levels and in the context of cross-sectional data, the public health goal of reducing the rate of obesity is in line with anti-poverty policies of addressing poverty through mixed-income development where neighborhood income inequality is likely higher than homogeneous neighborhoods. Copyright © 2015 Elsevier Inc. All rights reserved.

Status of water levels and selected water-quality conditions in the Sparta-Memphis aquifer in Arkansas, Spring-Summer 2003

USGS Publications Warehouse

Schrader, T.P.

2006-01-01

During the spring of 2003, water levels were measured in 341 wells in the Sparta-Memphis aquifer in Arkansas. Waterquality samples were collected for temperature and specificconductance measurements during the spring-summer of 2003 from 70 wells in Arkansas in the Sparta-Memphis aquifer. Maps of areal distribution of potentiometric surface, change in waterlevel measurements from 1999 to 2003, and specific-conductance data reveal spatial trends across the study area. The highest water-level altitude measured in Arkansas was 328 feet above National Geodetic Vertical Datum of 1929 (NGVD of 1929) in Craighead County; the lowest water-level altitude was 199 feet below NGVD of 1929 in Union County. Three large cones of depression are shown in the 2003 potentiometric surface map, centered in Columbia, Jefferson, and Union Counties in Arkansas as a result of large withdrawals for industrial and public supplies. A broad depression exists in western Poinsett County in Arkansas. The potentiometric surface indicates that large withdrawals have altered or reversed the natural direction of flow in most areas. In the northern third of the study area the flow is from the east, west, and north towards the broad depression in Poinsett County. In the central third of the study area the flow is dominated by the cone of depression centered in Jefferson County. In the southern third of the study area the flow is dominated by the two cones of depression in Union and Columbia Counties. A map of water-level changes from 1999 to 2003 was constructed using water-level measurements from 281 wells. The largest rise in water level measured was about 57.8 feet in Columbia County. The largest decline in water level measured was about -71.6 feet in Columbia County. Areas with a general rise are shown in Arkansas, Bradley, Calhoun, Cleveland, Columbia, Ouachita, and Union Counties. Areas with a general decline are shown in Craighead, Crittenden, Cross, Desha, Drew, Jefferson, Lonoke, Phillips, Poinsett, Prairie, and Woodruff Counties. Hydrographs were constructed for wells with a minimum of 25 years of water-level measurements. A trend line using a linear regression was calculated for the period of record from spring of 1978 to spring of 2003 to determine the annual decline or rise in feet per year for water levels in each well. The hydrographs were grouped by county. The mean values for county annual water-level decline or rise ranged from -1.42 to 0.27 foot per year. Specific conductance ranged from 82 microsiemens per centimeter at 25 degrees Celsius in Jefferson County to about 1,210 microsiemens per centimeter at 25 degrees Celsius in Lee County. The mean specific conductance was 400 microsiemens per centimeter at 25 degrees Celsius.

[Spatial patterns and influence factors of specialization in tea cultivation based on geographically weighted regression model: A case study of Anxi County of Fujian Province, China].

PubMed

Shui, Wei; DU, Yong; Chen, Yi Ping; Jian, Xiao Mei; Fan, Bing Xiong

2017-04-18

Anxi County, specializing in tea cultivation, was taken as a case in this research. Pearson correlation analysis, ordinary least squares model (OLS) and geographically weighted regression model (GWR) were used to select four primary influence factors of specialization in tea cultivation (i.e., the average elevation, net income per capita, proportion of agricultural population, and the distance from roads) by analyzing the specialization degree of each town of Anxi County. Meanwhile, the spatial patterns of specialization in tea cultivation of Anxi County were evaluated. The results indicated that specialization in tea cultivation of Anxi County showed an obvious spatial auto-correlation, and a spatial pattern with "low-middle-high" circle structure, which was similar to Von Thünen's circle structure model, appeared from the county town to its surrounding region. Meanwhile, GWR (0.624) had a better fitting degree than OLS (0.595), and GWR could reasonably expound the spatial data. Contrary to the agricultural location theory of Von Thünen's model, which indicated that distance from market was a determination factor, the specialization degree of tea cultivation in Anxi was mainly decided by natural conditions of mountain area, instead of the social factors. Specialization degree of tea cultivation was positively correlated with the average elevation, net income per capita and the proportion of agricultural population, while a negative correlation was found between the distance from roads and specialization degree of tea cultivation. Coefficients of regression between the specialization degree of tea cultivation and two factors (i.e., the average elevation and net income per capita) showed a spatial pattern of higher level in the north direction and lower level in the south direction. On the contrary, the regression coefficients for the proportion of agricultural population increased from south to north of Anxi County. Furthermore, regression coefficient for the distance from roads showed a spatial pattern of higher level in the northeast direction and lower level in the southwest direction of Anxi County.

Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis (Fact Sheet)

DOE Office of Scientific and Technical Information (OSTI.GOV)

Not Available

2012-09-01

To gain an understanding of the long-term county-level impacts from a large sample of wind power projects and to understand the potential significance of methodological criticisms, the U.S. Department of Agriculture, the Lawrence Berkeley National Laboratory, and NREL recently joined efforts to complete a first-of-its-kind study that quantifies the annual impact on county-level personal income resulting from wind power installations in nearly 130 counties across 12 states. The results of this study, as well as a comparison with the prior county-level estimates generated from input-output models, are summarized here.

CIRSS vertical data integration, San Bernardino County study phases 1-A, 1-B

NASA Technical Reports Server (NTRS)

Christenson, J.; Michel, R. (Principal Investigator)

1981-01-01

User needs, data types, data automation, and preliminary applications are described for an effort to assemble a single data base for San Bernardino County from data bases which exist at several administrative levels. Each of the data bases used was registered and converted to a grid-based data file at a resolution of 4 acres and used to create a multivariable data base for the entire study area. To this data base were added classified LANDSAT data from 1976 and 1979. The resulting data base thus integrated in a uniform format all of the separately automated data within the study area. Several possible interactions between existing geocoded data bases and LANDSAT data were tested. The use of LANDSAT to update existing data base is to be tested.

Using health-facility data to assess subnational coverage of maternal and child health indicators, Kenya.

PubMed

Maina, Isabella; Wanjala, Pepela; Soti, David; Kipruto, Hillary; Droti, Benson; Boerma, Ties

2017-10-01

To develop a systematic approach to obtain the best possible national and subnational statistics for maternal and child health coverage indicators from routine health-facility data. Our approach aimed to obtain improved numerators and denominators for calculating coverage at the subnational level from health-facility data. This involved assessing data quality and determining adjustment factors for incomplete reporting by facilities, then estimating local target populations based on interventions with near-universal coverage (first antenatal visit and first dose of pentavalent vaccine). We applied the method to Kenya at the county level, where routine electronic reporting by facilities is in place via the district health information software system. Reporting completeness for facility data were well above 80% in all 47 counties and the consistency of data over time was good. Coverage of the first dose of pentavalent vaccine, adjusted for facility reporting completeness, was used to obtain estimates of the county target populations for maternal and child health indicators. The country and national statistics for the four-year period 2012/13 to 2015/16 showed good consistency with results of the 2014 Kenya demographic and health survey. Our results indicated a stagnation of immunization coverage in almost all counties, a rapid increase of facility-based deliveries and caesarean sections and limited progress in antenatal care coverage. While surveys will continue to be necessary to provide population-based data, web-based information systems for health facility reporting provide an opportunity for more frequent, local monitoring of progress, in maternal and child health.

Downscaling U.S. public opinion about climate change and the 'Six Americas' to states, cities, and counties

NASA Astrophysics Data System (ADS)

Marlon, J. R.; Howe, P. D.; Leiserowitz, A.

2013-12-01

For climate change communication to be most effective, messages should be targeted to the characteristics of local audiences. In the U.S., 'Six Americas' have been identified among the public based on their response to the climate change issue. The distribution of these different 'publics' varies between states and communities, yet data about public opinion at the sub-national scale remains scarce. In this presentation, we describe a methodology to statistically downscale results from national-level surveys about the Six Americas, climate literacy, and other aspects of public opinion to smaller areas, including states, metropolitan areas, and counties. The method utilizes multilevel regression with poststratification (MRP) to model public opinion at various scales using a large national-level survey dataset. We present state and county-level estimates of two key beliefs about climate change: belief that climate change is happening, and belief in the scientific consensus about climate change. We further present estimates of how the Six Americas vary across the U.S.

Hurricane exposure and county fetal death rates, utilization of a county environmental quality index for confounding control.

EPA Science Inventory

The effects of natural disasters on public health are a rising concern, with increasing severity of disaster events. Many disaster studies utilize county-level analysis, however most do not control for county level environmental factors. Hurricane exposure during pregnancy could ...

20. Readiness Crew Building interior, upper level corridor. This corridor ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

20. Readiness Crew Building interior, upper level corridor. This corridor runs from northwest to southeast. Photograph taken at the northwest end looking southeast. Lyon - Whiteman Air Force Base, Bomber Alert Facility S-6, 1300 Alert Road, Knob Noster, Johnson County, MO

16. INTERIOR VIEW OF SUBMARINE SECTION AT 110FOOT LEVEL, ESCAPE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

16. INTERIOR VIEW OF SUBMARINE SECTION AT 110-FOOT LEVEL, ESCAPE TRAINING TANK, SHOWING LADDER TO ESCAPE TANK, LOOKING SOUTH - U.S. Naval Submarine Base, New London Submarine Escape Training Tank, Albacore & Darter Roads, Groton, New London County, CT

DETAIL VIEW ON THE MAIN ASSEMBLY LEVEL OF ELEVATOR SHOWING ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

DETAIL VIEW ON THE MAIN ASSEMBLY LEVEL OF ELEVATOR SHOWING THE DOUBLED COLUMN FOR THE BUILDING EXPANSION JOINT AT COLUMN LINE AA-18. - Offutt Air Force Base, Glenn L. Martin-Nebraska Bomber Plant, Building D, Peacekeeper Drive, Bellevue, Sarpy County, NE

Are older adults living in more equal counties healthier than older adults living in more unequal counties? A propensity score matching approach.

PubMed

Choi, HwaJung; Burgard, Sarah; Elo, Irma T; Heisler, Michele

2015-09-01

We assessed the potential contextual effect of income inequality on health by: 1) comparing individuals with similar socioeconomic status (SES) but who reside in counties with different levels of income inequality; and 2) examining whether the potential effect of county-level income inequality on health varies across SES groups. We used the Health and Retirement Study, a nationally representative study of Americans over the age of 50. Using propensity score matching, we selected SES-comparable individuals living in high-income inequality counties and in low-income inequality counties. We examined differences in self-rated overall health outcomes and in other specific physical/mental health outcomes between the two groups using logistic regression (n = 34,994) and imposing different sample restrictions based on residential duration in the area. We then used logistic regression with interactions to assess whether, and if so how, health outcomes differed among participants of different SES groups defined by wealth, income, and education. In bivariate analyses of the unmatched full sample, adults living in high-income inequality counties have worse health outcomes for most health measures. After propensity score matching, adults in high-income inequality counties had worse self-rated health status (AOR = 1.12; 95% CI 1.04-1.19) and were more likely to report diagnosed psychiatric problems (AOR = 1.08; 95% CI 0.99-1.19) than their matched counterparts in low-income inequality counties. These associations were stronger with longer-term residents in the area. Adverse health outcomes associated with living in high-income inequality counties were significant particularly for individuals in the 30(th) or greater percentiles of income/wealth distribution and those without a college education. In summary, after using more precise matching methods to compare individuals with similar characteristics and addressing measurement error by excluding more recently arrived county residents, adults living in high-income inequality counties had worse reported overall physical and mental health than adults living in low-income inequality counties. Copyright © 2015 Elsevier Ltd. All rights reserved.

Are older adults living in more equal counties healthier than older adults living in more unequal counties? A propensity score matching approach

PubMed Central

Choi, HwaJung; Burgard, Sarah; Elo, Irma T.; Heisler, Michele

2015-01-01

We assessed the potential contextual effect of income inequality on health by: 1) comparing individuals with similar socioeconomic status (SES) but who reside in counties with different levels of income inequality; and 2) examining whether the potential effect of county-level income inequality on health varies across SES groups. We used the Health and Retirement Study, a nationally representative study of Americans over the age of 50. Using propensity score matching, we selected SES-comparable individuals living in high-income inequality counties and in low-income inequality counties. We examined differences in self-rated overall health outcomes and in other specific physical/mental health outcomes between the two groups using logistic regression (n=34,994) and imposing different sample restrictions based on residential duration in the area. We then used logistic regression with interactions to assess whether, and if so how, health outcomes differed among participants of different SES groups defined by wealth, income, and education. In bivariate analyses of the unmatched full sample, adults living in high-income inequality counties have worse health outcomes for most health measures. After propensity score matching, adults in high-income inequality counties had worse self-rated health status (AOR=1.12; 95% CI 1.04–1.19) and were more likely to report diagnosed psychiatric problems (AOR=1.08; 95% CI 0.99–1.19) than their matched counterparts in low-income inequality counties. These associations were stronger with longer-term residents in the area. Adverse health outcomes associated with living in high-income inequality counties were significant particularly for individuals in the 30th or greater percentiles of income/wealth distribution and those without a college education. In summary, after using more precise matching methods to compare individuals with similar characteristics and addressing measurement error by excluding more recently arrived county residents, adults living in high-income inequality counties had worse reported overall physical and mental health than adults living in low-income inequality counties. PMID:26256736

Regression model estimation of early season crop proportions: North Dakota, some preliminary results

NASA Technical Reports Server (NTRS)

Lin, K. K. (Principal Investigator)

1982-01-01

To estimate crop proportions early in the season, an approach is proposed based on: use of a regression-based prediction equation to obtain an a priori estimate for specific major crop groups; modification of this estimate using current-year LANDSAT and weather data; and a breakdown of the major crop groups into specific crops by regression models. Results from the development and evaluation of appropriate regression models for the first portion of the proposed approach are presented. The results show that the model predicts 1980 crop proportions very well at both county and crop reporting district levels. In terms of planted acreage, the model underpredicted 9.1 percent of the 1980 published data on planted acreage at the county level. It predicted almost exactly the 1980 published data on planted acreage at the crop reporting district level and overpredicted the planted acreage by just 0.92 percent.

County level incidence rates of chronic lymphocytic leukemia are associated with residential radon levels.

PubMed

Oancea, S Cristina; Rundquist, Bradley C; Simon, Isaac; Swartz, Sami; Zheng, Yun; Zhou, Xudong; Sens, Mary Ann; Schwartz, Gary G

2017-09-01

We previously reported that incidence rates for chronic lymphocytic leukemia (CLL) among US states are significantly correlated with levels of residential radon (RR). Because these correlations could be influenced by confounding and/or misclassification among large geographic units, we reinvestigated them using smaller geographic units that better reflect exposure and disease at the individual level. We examined the relationships between CLL and RR per county in 478 counties with publicly-available data. After adjustment for ultraviolet radiation, a possible risk factor for CLL, county rates for CLL and RR were significantly correlated among males and females both together and separately (p < 0.0001). CLL is significantly associated with RR at the county level.

Ecosystem Health Assessment at County-Scale Using the Pressure-State-Response Framework on the Loess Plateau, China.

PubMed

Liu, Delin; Hao, Shilong

2016-12-22

Assessing ecosystem health is helpful to determine reasonable eco-environmental restoration and resource management strategies. Based on a pressure-state-response (PSR) framework, a set of comprehensive indicators including natural, social and economic aspects was proposed and applied for assessing the ecosystem health of Yuanzhou County, Loess Plateau, Ningxia Province, China. The basic data used to calculate the values of the assessment indicators include Landsat TM image and socio-economic data, and remote sensing (RS) and the geographic information system (GIS) were used to process image data. The results showed that the ecosystem health conditions of most townships in Yuanzhou County were at the moderately healthy level, three townships were at the healthy level, and only two townships were at the unhelathy level; the areas (percentage) at the unhealthy, moderately healthy and healthy levels were 443.91 km² (12.66%), 2438.75 km² (69.54%) and 624.50 km² (17.81%), respectively. The results could provide useful information for local residents and the government to take measures to improve the health conditions of their township ecosystem.

Ecosystem Health Assessment at County-Scale Using the Pressure-State-Response Framework on the Loess Plateau, China

PubMed Central

Liu, Delin; Hao, Shilong

2016-01-01

Assessing ecosystem health is helpful to determine reasonable eco-environmental restoration and resource management strategies. Based on a pressure-state-response (PSR) framework, a set of comprehensive indicators including natural, social and economic aspects was proposed and applied for assessing the ecosystem health of Yuanzhou County, Loess Plateau, Ningxia Province, China. The basic data used to calculate the values of the assessment indicators include Landsat TM image and socio-economic data, and remote sensing (RS) and the geographic information system (GIS) were used to process image data. The results showed that the ecosystem health conditions of most townships in Yuanzhou County were at the moderately healthy level, three townships were at the healthy level, and only two townships were at the unhelathy level; the areas (percentage) at the unhealthy, moderately healthy and healthy levels were 443.91 km2 (12.66%), 2438.75 km2 (69.54%) and 624.50 km2 (17.81%), respectively. The results could provide useful information for local residents and the government to take measures to improve the health conditions of their township ecosystem. PMID:28025518

An ecological analysis of pertussis disease in Minnesota, 2009-2013.

PubMed

Iroh Tam, P Y; Menk, J S; Hughes, J; Kulasingam, S L

2016-03-01

The increase in pertussis cases in Minnesota in the last decade has been mainly attributed to the switch from whole cell to acellular pertussis [as part of the diphtheria, tetanus and acellular pertussis vaccine (DTaP)]. It is unclear, however, to what degree community-level risk factors also contribute. Understanding these factors can help inform public health policy-makers about where else to target resources. We performed an ecological analysis within Minnesota to identify risk factors at the county level using a Bayesian Poisson generalized linear areal model to account for spatial dependence. Univariate analyses suggested an association between increased pertussis rates at the county level and white maternal ethnicity, being US born, urban counties and average household size. In the multivariable analysis, the rate of pertussis was 1·79 times greater for urban vs. rural counties and 4·75 times greater for counties with a one-person larger average household size. Pertussis rates in counties with higher (i.e. 4+DTaP) receipt in children were 0·97 times lower. Examining county-level factors associated with varying levels of pertussis may help identify those counties that would most benefit from targeted interventions and increased resource allocation.

Assessing the landscape context and conversion risk of protected areas using satellite data products

USGS Publications Warehouse

Svancara, Leona K.; Scott, J.M.; Loveland, Thomas R.; Pidgorna, Anna

2009-01-01

Since the establishment of the first national park (Yellowstone National Park in 1872) and the first wildlife refuge (Pelican Island in 1903), dramatic changes have occurred in both ecological and cultural landscapes across the U.S. The ability of these protected areas to maintain current levels of biodiversity depend, at least in part, on the integrity of the surrounding landscape. Our objective was to quantify and compare the extent and pattern of natural land cover, risk of conversion, and relationships with demographic and economic variables in counties near National Park Service units and U.S. Fish and Wildlife Service refuges with those counties distant from either type of protected area in the coterminous United States. Our results indicate that landscapes in counties within 10 km of both parks and refuges and those within 10 km of just parks were more natural, more intact, and more protected than those in counties within 10 km of just refuges and counties greater than 10 km from either protected area system. However, they also had greater human population density and change in population, indicating potential conversion risk since the percent of landscape protected averaged < 5% in both groups and human population dynamics are primary drivers of change in many landscapes. Conversion outweighed protection by at least two times (Conservation Risk Index > 2) in 76% of counties near both parks and refuges, 81% of counties near just parks, 91% of counties near just refuges, and 93% of distant counties. Thirteen percent of counties in the coterminous U.S. had moderate to high amounts of natural land cover (> 60%), low protection (< 20%), and the greatest change in population (> 20%). Although these areas are not the most critically endangered, they represent the greatest conservation opportunity, need, and urgency. Our approach is based on national level metrics that are simple, general, informative, and can be understood by broad audiences and by policy makers and managers to assess the health of lands surrounding parks and refuges. Regular monitoring of these metrics with satellite data products in counties surrounding protected areas provides a consistent, national level assessment of management opportunities and potentially adverse changes on adjacent lands.

US County-Level Trends in Mortality Rates for Major Causes of Death, 1980-2014.

PubMed

Dwyer-Lindgren, Laura; Bertozzi-Villa, Amelia; Stubbs, Rebecca W; Morozoff, Chloe; Kutz, Michael J; Huynh, Chantal; Barber, Ryan M; Shackelford, Katya A; Mackenbach, Johan P; van Lenthe, Frank J; Flaxman, Abraham D; Naghavi, Mohsen; Mokdad, Ali H; Murray, Christopher J L

2016-12-13

County-level patterns in mortality rates by cause have not been systematically described but are potentially useful for public health officials, clinicians, and researchers seeking to improve health and reduce geographic disparities. To demonstrate the use of a novel method for county-level estimation and to estimate annual mortality rates by US county for 21 mutually exclusive causes of death from 1980 through 2014. Redistribution methods for garbage codes (implausible or insufficiently specific cause of death codes) and small area estimation methods (statistical methods for estimating rates in small subpopulations) were applied to death registration data from the National Vital Statistics System to estimate annual county-level mortality rates for 21 causes of death. These estimates were raked (scaled along multiple dimensions) to ensure consistency between causes and with existing national-level estimates. Geographic patterns in the age-standardized mortality rates in 2014 and in the change in the age-standardized mortality rates between 1980 and 2014 for the 10 highest-burden causes were determined. County of residence. Cause-specific age-standardized mortality rates. A total of 80 412 524 deaths were recorded from January 1, 1980, through December 31, 2014, in the United States. Of these, 19.4 million deaths were assigned garbage codes. Mortality rates were analyzed for 3110 counties or groups of counties. Large between-county disparities were evident for every cause, with the gap in age-standardized mortality rates between counties in the 90th and 10th percentiles varying from 14.0 deaths per 100 000 population (cirrhosis and chronic liver diseases) to 147.0 deaths per 100 000 population (cardiovascular diseases). Geographic regions with elevated mortality rates differed among causes: for example, cardiovascular disease mortality tended to be highest along the southern half of the Mississippi River, while mortality rates from self-harm and interpersonal violence were elevated in southwestern counties, and mortality rates from chronic respiratory disease were highest in counties in eastern Kentucky and western West Virginia. Counties also varied widely in terms of the change in cause-specific mortality rates between 1980 and 2014. For most causes (eg, neoplasms, neurological disorders, and self-harm and interpersonal violence), both increases and decreases in county-level mortality rates were observed. In this analysis of US cause-specific county-level mortality rates from 1980 through 2014, there were large between-county differences for every cause of death, although geographic patterns varied substantially by cause of death. The approach to county-level analyses with small area models used in this study has the potential to provide novel insights into US disease-specific mortality time trends and their differences across geographic regions.

EVALUATION AND REPORTING OF COUNTY GASOLINE USE METHODOLOGIES

EPA Science Inventory

The report reviews two EPA studies that investigated improvements in the allocation of state-level gasoline sales to the county level in order to improve annual county-level emissions estimates from this source category. The approaches taken in these studies are compared with the...

County-level environmental quality and associations with individual - and county-level preterm birth

EPA Science Inventory

Human health is influenced by simultaneous exposure to stressors and amenities, but research usually considers single exposures. We constructed a county-level Environmental Quality Index (EQI) using principal components analysis with data from five domains (air, water, land, buil...

The Effect of the Level of Motivation of Kiswahili Teachers on Performance of Students in Secondary Schools in Elgeyo Marakwet County, Keiyo Sub-County, Kenya

ERIC Educational Resources Information Center

Jerotich, Kemboi Rose

2015-01-01

The performance of students in Kiswahili subject is of crucial importance to everyone in Kenya since it is a media of communication in public institutions and other sectors of the Economy. More so Kiswahili serves as a national language of Kenya thus one of the language requirements for pursuance in any Diploma or Degree courses. Based on this…

Selected ground-water data, Chester County, Pennsylvania

USGS Publications Warehouse

Sloto, Ronald A.

1989-01-01

Hydrologic data for Chester County, Pennsylvania are given for 3,010 wells and 32 springs. Water levels are given for 48 observation wells measured monthly during 1936-86. Chemical analyses of ground water are given for major ions, physical properties, nutrients, metals and other trace constituents, volatile organic compounds, acid organic compounds, base-neutral organic compounds, organochlorine insecticides, polychlorinated biphenyls, polychlorinated napthalenes, organophosphorous insecticides, organic acid herbicides, triazine herbicides, other organic compounds, and radionuclides.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Imes, J.L.; Kleeschulte, M.J.

Ground-water-level measurements to support remedial actions were made in 37 piezometers and 19 monitoring wells during a 19-month period to assess the potential for ground-water flow from an abandoned quarry to the nearby St. Charles County well field, which withdraws water from the base of the alluvial aquifer. From 1957 to 1966, low-level radioactive waste products from the Weldon Spring chemical plant were placed in the quarry a few hundred feet north of the Missouri River alluvial plain. Uranium-based contaminants subsequently were detected in alluvial ground water south of the quarry. During all but flood conditions, lateral ground-water flow inmore » the bedrock from the quarry, as interpreted from water-table maps, generally is southwest toward Little Femme Osage Creek or south into the alluvial aquifer. After entering the alluvial aquifer, the ground water flows southeast to east toward a ground-water depression presumably produced by pumping at the St. Charles County well field. The depression position varies depending on the Missouri River stage and probably the number and location of active wells in the St. Charles County well field.« less

Electronic Health Record (EHR)-Based Community Health Measures: An Exploratory Assessment of Perceived Usefulness by Local Health Departments.

PubMed

Comer, Karen F; Gibson, P Joseph; Zou, Jian; Rosenman, Marc; Dixon, Brian E

2018-05-22

Given the widespread adoption of electronic health record (EHR) systems in health care organizations, public health agencies are interested in accessing EHR data to improve health assessment and surveillance. Yet there exist few examples in the U.S. of governmental health agencies using EHR data routinely to examine disease prevalence and other measures of community health. The objective of this study was to explore local health department (LHD) professionals' perceptions of the usefulness of EHR-based community health measures, and to examine these perceptions in the context of LHDs' current access and use of sub-county data, data aggregated at geographic levels smaller than county. To explore perceived usefulness, we conducted an online survey of LHD professionals in Indiana. One hundred and thirty-three (133) individuals from thirty-one (31) LHDs participated. The survey asked about usefulness of specific community health measures as well as current access to and uses of sub-county population health data. Descriptive statistics were calculated to examine respondents' perceptions, access, and use. A one-way ANOVA (with pairwise comparisons) test was used to compare average scores by LHD size. Respondents overall indicated moderate agreement on which community health measures might be useful. Perceived usefulness of specific EHR-based community health measures varied by size of respondent's LHD [F(3, 88) = 3.56, p = 0.017]. Over 70% of survey respondents reported using community health data, but of those < 30% indicated they had access to sub-county level data. Respondents generally preferred familiar community health measures versus novel, EHR-based measures that are not in widespread use within health departments. Access to sub-county data is limited but strongly desired. Future research and development is needed as LHD staff gain access to EHR data and apply these data to support the core function of health assessment.

Correct county areas with sidebars for Virginia

Treesearch

Joseph M. McCollum; Dale Gormanson; John Coulston

2009-01-01

Historically, Forest Inventory and Analysis (FIA) has processed field inventory data at the county level and county estimates of land area were constrained to equal those reported by the Census Bureau. Currently, the Southern Research Station FIA unit processes field inventory data at the survey unit level (groups of counties with similar ecological characteristics)....

The Impact of Wind Development on County-Level Income and Employment: A Review of Methods and an Empirical Analysis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Eric Lantz

2012-09-21

To gain an understanding of the long-term county-level impacts from a large sample of wind power projects and to understand the potential significance of methodological criticisms, the U.S. Department of Agriculture, the Lawrence Berkeley National Laboratory, and the National Renewable Energy Laboratory recently joined efforts to complete a first-of-its-kind study that quantifies the annual impact on county-level personal income resulting from wind power installations in nearly 130 counties across 12 states. The results of this study as well as a comparison with the prior county-level estimates generated from input-output models, are summarized in the fact sheet.

7. ENTRANCE VIEW OF ELEVATOR SHAFT AT GROUND LEVEL. VIEW ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

7. ENTRANCE VIEW OF ELEVATOR SHAFT AT GROUND LEVEL. VIEW SHOWS VERTICAL LADDER AND CAGE ALONG ELEVATOR SHAFT. - U.S. Naval Base, Pearl Harbor, Signal Tower, Corner of Seventh Street & Avenue D east of Drydock No. 1, Pearl City, Honolulu County, HI

Potentiometric Surfaces in the Springfield Plateau and Ozark Aquifers of Northwestern Arkansas, Southeastern Kansas, Southwestern Missouri, and Northeastern Oklahoma, 2006

USGS Publications Warehouse

Gillip, Jonathan A.; Czarnecki, John B.; Mugel, Douglas N.

2008-01-01

The Springfield Plateau and Ozark aquifers are important sources of ground water in the Ozark Plateaus aquifer system. Water from these aquifers is used for agricultural, domestic, industrial, and municipal water sources. Changing water use over time in these aquifers presents a need for updated potentiometric-surface maps of the Springfield Plateau and Ozark aquifers. The Springfield Plateau aquifer consists of water-bearing Mississippian-age limestone and chert. The Ozark aquifer consists of Late Cambrian to Middle Devonian age water-bearing rocks consisting of dolostone, limestone, and sandstone. Both aquifers are complex with areally varying lithologies, discrete hydrologic units, varying permeabilities, and secondary permeabilities related to fractures and karst features. During the spring of 2006, ground-water levels were measured in 285 wells. These data, and water levels from selected lakes, rivers, and springs, were used to create potentiometric-surface maps for the Springfield Plateau and Ozark aquifers. Linear kriging was used initially to construct the water-level contours on the maps; the contours were subsequently modified using hydrologic judgment. The potentiometric-surface maps presented in this report represent ground-water conditions during the spring of 2006. During the spring of 2006, the region received less than average rainfall. Dry conditions prior to the spring of 2006 could have contributed to the observed water levels as well. The potentiometric-surface map of the Springfield Plateau aquifer shows a maximum measured water-level altitude within the study area of about 1,450 feet at a spring in Barry County, Missouri, and a minimum measured water-level altitude of 579 feet at a well in Ottawa County, Oklahoma. Cones of depression occur in Dade, Lawrence and Newton Counties in Missouri and Delaware and Ottawa Counties in Oklahoma. These cones of depression are associated with private wells. Ground water in the Springfield Plateau aquifer generally flows to the west in the study area, and to surface features (lakes, rivers, and springs) particularly in the south and east of the study area where the Springfield Plateau aquifer is closest to land surface. The potentiometric-surface map of the Ozark aquifer indicates a maximum measured water-level altitude of 1,303 feet in the study area at a well in Washington County, Arkansas, and a minimum measured water-level altitude of 390 feet in Ottawa County, Oklahoma. The water in the Ozark aquifer generally flows to the northwest in the northern part of the study area and to the west in the remaining study area. Cones of depression occur in Barry, Barton, Cedar, Jasper, Lawrence, McDonald, Newton, and Vernon Counties in Missouri, Cherokee and Crawford Counties in Kansas, and Craig and Ottawa Counties in Oklahoma. These cones of depression are associated with municipal supply wells. The flow directions, based on both potentiometric-surface maps, generally agree with flow directions indicated by previous studies.

Associations of subsite-specific colorectal cancer incidence rates and stage of disease at diagnosis with county-level poverty, by race and sex.

PubMed

Wu, Xiaocheng; Cokkinides, Vilma; Chen, Vivien W; Nadel, Marion; Ren, Yuan; Martin, Jim; Ellison, Gary L

2006-09-01

This study examined associations of subsite-specific colorectal cancer incidence rates and stage of the disease with county-level poverty. The 1998-2001 colorectal cancer incidence data, covering 75% of the United States population, were from 38 states and metropolitan areas. The county-level poverty data were categorized into 3 groups according to the percentage of the population below the poverty level in 1999: <10% (low-poverty), 10%-19% (middle-poverty), and >or=20% (high-poverty). Age-adjusted subsite-specific incidence rates (for all ages) and stage-specific incidence rates (for ages >or=50) were examined by race (whites and blacks), sex, and the county's poverty level. The differences in the incidence rates were examined using the 2-tailed z-statistic. The incidence rates of proximal colon cancer were higher among white males (11% higher) and white females (15% higher) in the low-poverty than in the high-poverty counties. No differences across county poverty levels were observed among whites for distal colon and rectal cancers or among blacks for all the subsites. The late-to-early stage incidence rate ratios were higher in the high-poverty than in the low-poverty counties among white and black males for distal colon and rectal cancers, among white females for distal colon cancer, and among black females for rectal cancer. For proximal colon cancer, however, the late-to-early stage rate ratios were similar across all county poverty levels. Higher incidence rates of proximal cancer were observed among white males and females in the low-poverty counties relative to the high-poverty counties. The higher late-to-early stage rate ratios in high-poverty than in low-poverty counties is observed for distal colon and rectal cancers, but not for proximal colon cancer.

Potentiometric Surfaces and Water-Level Trends in the Cockfield and Wilcox Aquifers of Southern and Northeastern Arkansas, 2006

USGS Publications Warehouse

Schrader, T.P.

2007-01-01

The Cockfield Formation of Claiborne Group and the Wilcox Group contain aquifers that provide sources of ground water in southern and northeastern Arkansas. In 2000, about 9.9 million gallons per day was withdrawn from the Cockfield Formation of Claiborne Group and about 22.2 million gallons per day was withdrawn from the Wilcox Group. Major withdrawals from the aquifers were for industrial and public water supplies. A study was conducted by the U.S. Geological Survey in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey to determine the water level associated with the aquifers in the Cockfield Formation of Claiborne Group and the Wilcox Group in southern and northeastern Arkansas. During February and March 2006, 56 water-level measurements were made in wells completed in the Cockfield aquifer and 59 water-level measurements were made in wells completed in the Wilcox aquifer, 16 in southwestern and 43 in northeastern Arkansas. This report presents the results as potentiometric-surface maps and as long-term water-level hydrographs. The regional direction of ground-water flow in the Cockfield Formation of Claiborne Group generally is towards the east and southeast, away from the outcrop, except in areas of intense ground-water withdrawals, such as western Drew County, southeastern Lincoln County, southwestern Calhoun County, and near Crossett in Ashley County. There are three cones of depression indicated by relatively low water-level altitudes in southeastern Lincoln County, southwestern Calhoun County, and near Crossett in Ashley County. The lowest water-level altitude measured was 44 feet above the National Geodetic Vertical Datum of 1929 in Lincoln County; the highest water-level altitude measured was 346 feet above the National Geodetic Vertical Datum of 1929 in Columbia County at the outcrop area. Hydrographs from 40 wells with historical water levels from 1986 to 2006 were evaluated using linear regression to calculate the annual rise or decline. Calhoun and Cleveland Counties have mean annual rises from 0.01 to 0.07 feet per year. Arkansas, Ashley, Bradley, Chicot, Columbia, Drew, Lincoln, and Union Counties have mean annual declines from 0.4 to 0.55 feet per year. Desha County has a mean annual decline of about 1.35 feet per year. The direction of ground-water flow in the southwestern study area of the Wilcox Group generally is south and east. The lowest water-level altitude measured in southwestern Arkansas was 147 feet above the National Geodetic Vertical Datum of 1929 near the Ouachita River in Clark County; the highest water-level altitude measured was 397 feet above the National Geodetic Vertical Datum of 1929 in the outcrop area of Hempstead County. The direction of ground-water flow in the northeastern study area of the Wilcox Group generally is south and east. The lowest water-level altitude measured in northeastern Arkansas was 120 feet above the National Geodetic Vertical Datum of 1929 near West Memphis in Crittenden County; the highest water-level altitude measured was 368 feet above the National Geodetic Vertical Datum of 1929 on Crowleys Ridge in Clay County. Hydrographs from 28 wells with historical water levels from 1986 to 2006 were evaluated using linear regression to calculate the annual rise or decline. All 28 wells showed an annual decline from 1986 to 2006. Craighead, Greene, Mississippi, and Poinsett Counties have mean annual declines from 0.27 to 1.00 feet per year. Crittenden, Lee, and St. Francis Counties have mean annual declines from 1.39 to 1.64 feet per year.

Veterans Affairs: Data Needed to Help Improve Decisions Concerning Veterans’ Access to Burial Options

DTIC Science & Technology

2014-09-01

Comparison of Veteran Population Estimates for Humboldt County Using Proportional Distribution at the County Level and Census Tract Data 20 Figure 7...also areas where this methodology would overstate the veteran population that would be served in a specific area. For example, in Humboldt County...Veterans Cemeteries Figure 6: Comparison of Veteran Population Estimates for Humboldt County Using Proportional Distribution at the County Level and

Wisconsin Versus Minnesota: A Border Battle for the Healthiest State.

PubMed

Pollock, Elizabeth; Norrbom, Corina; Ehlinger, Edward; Remington, Patrick

2016-08-01

Measuring and ranking the health of counties helps raise awareness of health disparities based on where people live. Recently, there has been increasing interest in comparing the health of counties across state lines, to potentially measure the impact of local and state-level policies. The counties in Minnesota (n = 87) and Wisconsin (n = 72) were combined into a single 2-state region, and all 159 counties were ranked according to the County Health Rankings methods, with summary ranks for health outcomes and health factors. Multivariable regression analysis was then used to examine the potential impact of state-based programs and policies on health outcomes. Minnesota was healthier overall than Wisconsin, with lower rates of premature death and better quality of life. Minnesota also performed better than Wisconsin for all 9 health behavior measures, 4 of 7 clinical care measures, 7 of 8 social and economic factors, and 3 of 5 physical environment measures. Furthermore, counties in Wisconsin were more likely to have lower (worse) ranks than counties in Minnesota for both health outcomes and health factors, as well as for the subcategories that make up these summary ranks. Regression analysis showed that Minnesota’s better health status was explained primarily by healthier behaviors and more desirable social and economic factors. Minnesota’s better health outcomes are largely explained by better social, economic, and behavioral factors. These findings suggest a need for examination of policies and strategies that may be influencing the observed differences across these 2 states.

Maternal Risk Factors for Preterm Birth in Murmansk County, Russia: A Registry-Based Study.

PubMed

Usynina, Anna A; Postoev, Vitaly A; Grjibovski, Andrej M; Krettek, Alexandra; Nieboer, Evert; Odland, Jon Øyvind; Anda, Erik Eik

2016-09-01

Globally, about 11% of all liveborn infants are preterm. To date, data on prevalence and risk factors of preterm birth (PTB) in Russia are limited. The aims of this study were to estimate the prevalence of PTB in Murmansk County, Northwestern Russia and to investigate associations between PTB and selected maternal factors using the Murmansk County Birth Registry. We conducted a registry-based study of 52 806 births (2006-2011). In total, 51 156 births were included in the prevalence analysis, of which 3546 were PTBs. Odds ratios with 95% confidence intervals of moderate-to-late PTB, very PTB and extremely PTB for a range of maternal characteristics were estimated using multinomial logistic regression, adjusting for potential confounders. The overall prevalence of PTB in Murmansk County was 6.9%. Unmarried status, prior PTBs, spontaneous and induced abortions were strongly associated with PTB at any gestational age. Maternal low educational level increased the risk of extremely and moderate-to-late PTB. Young (<18 years) or older (≥35 years) mothers, graduates of vocational schools, underweight, overweight/obese mothers, and smokers were at higher risk of moderate-to-late PTB. Secondary education, alcohol abuse, diabetes mellitus, or gestational diabetes were strongly associated with moderate-to-late and very PTB. The observed prevalence of PTB (6.9%) in Murmansk County, Russia was comparable with data on live PTB from European countries. Adverse prior pregnancy outcomes, maternal low educational level, unmarried status, alcohol abuse, and diabetes mellitus or gestational diabetes were the most common risk factors for PTB. © 2016 John Wiley & Sons Ltd.

Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2009

USGS Publications Warehouse

Schrader, T.P.

2013-01-01

The U.S. Geological Survey in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey has monitored water levels in the Sparta Sand of Claiborne Group and Memphis Sand of Claiborne Group (herein referred to as the Sparta Sand and the Memphis Sand, respectively) since the 1920s. Groundwater withdrawals have increased while water levels have declined since monitoring was initiated. Herein, aquifers in the Sparta Sand and Memphis Sand will be referred to as the Sparta-Memphis aquifer throughout Arkansas. During the spring of 2009, 324 water levels were measured in wells completed in the Sparta-Memphis aquifer and used to produce a regional potentiometric-surface map. During the summer of 2009, 64 water-quality samples were collected and measured for specific conductance, temperature, and pH from wells completed in the Sparta-Memphis aquifer. The regional direction of groundwater flow in the Sparta-Memphis aquifer is generally to the south-southeast in the northern half of Arkansas and to the east and south in the southern half of Arkansas, away from the outcrop area except where affected by large groundwater withdrawals. The highest and lowest water-level altitudes measured in the Sparta-Memphis aquifer were 325 feet above and 157 feet below National Geodetic Vertical Datum of 1929, respectively. Eight depressions (generally represented by closed contours) are located in the following counties: Bradley; Ashley; Calhoun; Cleveland; Columbia; Arkansas, Jefferson, Lincoln, and Prairie; Cross and Poinsett; and Union. Two large depressions shown on the 2009 potentiometric-surface map, centered in Jefferson and Union Counties, are the result of large withdrawals for industrial, irrigation, or public supply. The depression centered in Jefferson County deepened and expanded in recent years into Arkansas and Prairie Counties. The area enclosed within the 40-foot contour on the 2009 potentiometric-surface map has expanded south to the Drew County line and moved west from the intersection of Arkansas, Jefferson, and Lincoln Counties when compared with the 2007 potentiometric-surface map. To the north, east, and west, the 40-foot contour is comparable to the 2007 potentiometric-surface map. The lowest water-level altitude measurement during 2009 in the center of the depression in Union County represents a rise of 42 feet since 2003. The area enclosed by the lowest altitude contour, 140 feet below National Geodetic Vertical Datum of 1929, on the 2009 potentiometric-surface map is about half the area on the 2007 potentiometric-surface map. In the depression in western Poinsett and Cross Counties, the 140-foot contour extended north to the Poinsett-Craighead County line and south across Cross County about two-thirds of the distance to the St. Francis County line. A water-level difference map was constructed using water-level measurements made during 2005 and 2009 from 309 wells. The difference in water level between 2005 and 2009 ranged from -74.6 to 60.2 feet. Areas with a general rise in water levels occur in central Columbia County, southern Jefferson County, and most of Union County. In the area around west-central Union County, water levels rose as much as 60.2 feet with water levels in 18 wells rising 20 feet or more, representing an average annual rise of 5 feet or more. Water levels generally declined throughout most of the rest of Arkansas. Hydrographs were constructed using a minimum of 25 years of water-level measurements at each of 206 wells. During the period 1985–2009, mean annual water levels rose in Calhoun, Columbia, Lafayette, and Union Counties, about 1.3 feet per year (ft/yr), 0.2 ft/yr, 0.1 ft/yr, and 0.6 ft/yr, respectively. Mean annual water-level declines between 0.0 and 2.3 ft/yr occurred in all other counties. In western Arkansas County, water-level altitudes in a continuously monitored well declined 60 feet during the irrigation season (April to September). Specific conductance ranged from 43 microsiemens per centimeter at 25 degrees Celsius (μS/cm) in Ouachita County to 1,230 μS/cm in Phillips County. The mean specific conductance was 392 μS/cm. Although there is a regional increase in specific conductance to the east and south, specific conductance values greater than 700 μS/cm occurred in samples from wells in Arkansas, Ashley, Monroe, Phillips, and Union Counties.

Ground-water resources data for Baldwin County, Alabama

USGS Publications Warehouse

Robinson, James L.; Moreland, Richard S.; Clark, Amy E.

1996-01-01

Geologic and hydrologic data for 237 wells were collected, and water-levels in 223 wells in Baldwin and Escambia Counties were measured. Long-term water water-level data, available for many wells, indicate that ground-water levels in most of Baldwin County show no significant trends for the period of record. However, ground-water levels have declined in the general vicinity of Spanish Fort and Daphne, and ground-water levels in the Gulf Shores and Orange Beach areas are less than 5 feet above sea level in places. The quality of ground water generally is good, but problems with iron, sulfur, turbidity, and color occur. The water from most private wells in Baldwin County is used without treatment or filtration. Alabama public- health law requires that water from public-supply wells be chlorinated. Beyond that, the most common treatment of ground water by public-water suppliers in Baldwin County consists of pH adjustment, iron removal, and aeration. The transmissivity of the Miocene-Pliocene aquifer was determined at 10 locations in Baldwin County. Estimates of transmissivity ranged from 700 to 5,400 feet squared per day. In general, aquifer transmissivity was greatest in the southeastern part of the county, and least in the western part of the county near Mobile Bay. A storage coefficient of 1.5 x 10-3 was determined for the Miocene-Pliocene aquifer near Loxley.

Water levels and water quality in the Sparta-Memphis aquifer (middle Claiborne aquifer) in Arkansas, spring-summer 2011

USGS Publications Warehouse

Schrader, T.P.

2014-01-01

The U.S. Geological Survey, in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey, has monitored water levels in the Sparta Sand of Claiborne Group and Memphis Sand of Claiborne Group (herein referred to as “the Sparta Sand” and “the Memphis Sand,” respectively) since the 1920s. Groundwater withdrawals have increased while water levels have declined since monitoring was initiated. Herein, aquifers in the Sparta Sand and Memphis Sand will be referred to as “the Sparta-Memphis aquifer” throughout Arkansas. During the spring of 2011, 291 water levels were measured in wells completed in the Sparta-Memphis aquifer and used to produce a regional potentiometric-surface map. During the summer of 2011, groundwater-quality samples were collected and measured from 61 wells for specific conductance, pH, and temperature.In the northern half of Arkansas, the regional direction of groundwater flow in the Sparta-Memphis aquifer is generally to the south-southeast and flows east and south in the southern half of Arkansas. The groundwater in the southern half of Arkansas flows away from the outcrop area except where affected by large depressions in the potentiometric surface. The highest and lowest water-level altitudes measured in the Sparta-Memphis aquifer were 326 feet above and 120 feet below National Geodetic Vertical Datum of 1929 (NGVD 29), respectively.Five depressions are located in the following counties: Arkansas, Cleveland, Jefferson, Lincoln, and Prairie; Union; Cross, Poinsett, St. Francis, and Woodruff; Columbia; and Bradley. Two large depressions, centered in Jefferson and Union Counties, are the result of large withdrawals for industrial, irrigation, or public supply. The depression centered in Jefferson County has expanded in recent years into Arkansas and Prairie Counties as a result of large withdrawals for irrigation and public supply. The lowest water-level altitude measured in this depression is approximately 20 feet (ft) higher in 2011 than in 2009. The area enclosed within the 40-ft contour on the 2011 potentiometric-surface map has decreased in area, shifting north in Lincoln County and west in Arkansas County when compared with the 2009 potentiometric-surface map.The depression in Union County is roughly circular within the -60-ft contour. The lowest water-level altitude measurement was 157 ft below NGVD 29 in 2009, with a 37-ft rise to 120 ft below NGVD 29 in 2011. The depression in Union County has diminished and encloses a smaller area than in recent years. In 1993, the -60-ft contour enclosed 632 square miles (mi2). In 2011, the -60-ft contour enclosed 375 mi2, a decrease of 41 percent from 1993. The lowest water-level altitude measurement during 2011 in the center of the depression in Union County represents a rise of 79 ft since 2003. The area enclosed by the lowest altitude contour, 120 ft below NGVD 29, on the 2011 potentiometric-surface map is less than 10 percent of the area enclosed by that same contour on the 2009 potentiometric-surface map.A broad depression in western Poinsett and Cross Counties was first shown in the 1995 potentiometric-surface map. In 2011, the lowest water-level altitude measurement in this depression, 129 ft above NGVD 29, is 2 ft lower than in 2009. The 140-ft contour has extended southwest into northwestern St. Francis and east-central Woodruff Counties in 2011. In Columbia County in 2011, the area of the depression has decreased, with water levels rising about 1 ft since 2005 in the well with the lowest water-level altitude measurement. The depression in Bradley County in 2011 has decreased in area compared to 2007.A water-level difference map was constructed using the difference between water-level measurements made during 2007 and 2011 at 247 wells. The differences in water level between 2007 and 2011 ranged from -17.3 to 45.4 ft, with a mean of 4.1 ft. Water levels generally declined in the northern half of the study area and generally increased in the southern half of the study area. Areas with a general decline in water levels include Lonoke and western Prairie Counties; northern Arkansas County; Miller County; and Craighead, Poinsett, Cross, and Woodruff Counties. Areas with a general rise in water levels include Lafayette, Columbia, Union, Calhoun, and Bradley Counties; Grant, Jefferson, southern Arkansas, Lincoln, Drew, and Desha Counties; and Phillips County.Hydrographs from 183 wells with a minimum of 25 years of water-level measurements were constructed. During the period 1987–2011, county mean annual water levels generally declined. Mean annual declines were between 0.5 foot per year (ft/yr) and 0.0 ft/yr in Ashley, Chicot, Crittenden, Drew, Grant, Jefferson, Lafayette, Mississippi, Monroe, Ouachita, Phillips, Pulaski, St. Francis, and Woodruff Counties. Mean annual declines were between 1.0 ft/yr and 0.5 ft/yr in Bradley, Calhoun, Cleveland, Craighead, Cross, Desha, Lonoke, Miller, Poinsett, and Prairie Counties. Mean annual declines were between 1.5 ft/yr and 1.0 ft/yr in Arkansas, Lee, and Lincoln Counties. The county mean annual water level rose in Columbia, Dallas, and Union Counties about 0.3 ft/yr, 0.1 ft/yr, and 1.2 ft/yr, respectively.Water samples were collected in the summer of 2011 from 61 wells completed in the Sparta-Memphis aquifer and measured onsite for specific conductance, temperature, and pH. Although there is a regional increase in specific conductance to the east and south, anomalous increases occur in some parts of the study area. Specific conductance ranged from 35 microsiemens per centimeter (μS/cm) in Ouachita County to 1,380 μS/cm in Monroe County. Relatively large specific conductance values (greater than 700 mS/cm) occur in samples from wells in Arkansas, Ashley, Clay, Monroe, Phillips, and Union Counties.

Use of anti-tuberculosis drugs among newly diagnosed pulmonary tuberculosis inpatients in China: a retrospective study.

PubMed

Huang, Fei; Zhang, Hui; Lv, Qing; Sato, Kaori D; Qu, Yan; Huan, Shitong; Cheng, Jun; Zhao, Fei; Wang, Lixia

2016-01-21

China's national tuberculosis control program (NTP) provides free, first-line anti-tuberculosis (TB) drugs to pulmonary TB patients. This treatment regimen follows the World Health Organization's (WHO) guideline. The objective of this paper is to evaluate the current status of anti-TB drug use for newly diagnosed pulmonary TB inpatients treated in prefecture- and county-level designated hospitals. Three prefecture-level hospitals and nine county-level hospitals were selected for the study. All newly diagnosed pulmonary TB inpatient medical records from 2012 were reviewed and doubly examined by two national senior physicians. The rational use of anti-TB drugs was evaluated based on criteria in line with WHO's guideline. Of the 2,060 total treatment regimens for TB, 53.1 % were found to be rational (1093/2060). The percentages in prefecture-level and county-level hospitals were 50.3 % (761/1513) and 60.7 % (332/547), respectively. The difference between the two levels of hospitals was statistically significant (Chi-square value = 17.44, P < 0.01). The percentages of rational treatment regimens for first-time hospitalizations and for two or more hospitalizations were 59.5 % (983/1653) and 27.0 % (110/407), respectively, with a statistically significant difference (Chi-square value = 138.00, P < 0.01). The overall use of second-line drugs (SLD) was 54.9 % (1131/2060). The percentages for prefecture-level and county-level hospitals were 50.6 % (766/1513) and 66.7 % (365/547), respectively. A statistically significant difference was found (Chi-square value = 42.06, P < 0.01). The use of SLD for inpatients hospitalized once and inpatients hospitalized twice or more was 58.4 % (966/1653) and 40.5 % (165/407), respectively, with a statistically significant difference (Chi-square value = 42.26, P < 0.01). Half of inpatients might be treated with irrational regimens, and the use of SLD was more appropriately dispensed in city-level hospitals than in county-level hospitals. Trainings and guidelines for health personnel, supervision led by health authorities and increased investment to designated hospitals may help to improve the rational use of anti-TB drugs.

Potentiometric Surface of the Lower Patapsco Aquifer in Southern Maryland, September 2007

USGS Publications Warehouse

Curtin, Stephen E.; Andreasen, David C.; Staley, Andrew W.

2009-01-01

This report presents a map showing the potentiometric surface of the lower Patapsco aquifer in the Patapsco Formation of Early Cretaceous age in Southern Maryland during September 2007. The map is based on water-level measurements in 65 wells. The highest measured water level was 111 feet above sea level near the northwestern boundary and outcrop area of the aquifer in northern Prince George's County. From this area, the potentiometric surface declined towards well fields at Severndale and Arnold. The measured ground-water levels were 87 feet below sea level at Severndale, and 42 feet below sea level at Arnold. There was also a cone of depression covering a large area in Charles County that includes Waldorf, La Plata, Indian Head, and the Morgantown power plant. The ground-water levels measured were as low as 219 feet below sea level at Waldorf, 187 feet below sea level at La Plata, 106 feet below sea level at Indian Head, and 89 feet below sea level at the Morgantown power plant.

Using GIS and secondary data to target diabetes-related public health efforts.

PubMed

Curtis, Amy B; Kothari, Catherine; Paul, Rajib; Connors, Elyse

2013-01-01

To efficiently help communities prevent and manage diabetes, health departments need to be able to target populations with high risk but low resources. To aid in this process, we mapped county-level diabetes-related rates and resources/use using publicly available secondary data to identify Michigan counties with high diabetes prevalence and low or no medical and/or community resources. We collected county-level diabetes-related rates and resources from Web-based sources and mapped them using geographic information systems (GIS) software. Data included age-adjusted county diabetes rates, diabetes-related medical resource and resource use (i.e., the number of endocrinologists and percentage of Medicare patients with diabetes who received hemoglobin A1c testing in the past year), community resources (i.e., the number of certified diabetes self-management education and diabetes support groups), as well as population estimates and demographics (e.g., rural residence, education, poverty, and race/ethnicity). We created GIS maps highlighting areas that had higher-than-median rates of disease and lower-than-median resources. We also conducted linear, logistic, and Poisson regression analyses to confirm GIS findings. There were clear regional trends in resource distribution across Michigan. The 15 counties in the Upper Peninsula were lacking in medical resources but higher in community resources compared with the 68 counties in the Lower Peninsula. There was little apparent association between need (diabetes prevalence) and diabetes-related resources/use. Specific counties with high diabetes prevalence and low resources were easily identified using GIS mapping. Using public data and mapping tools identified diabetes health-service shortage areas for targeted public health programming.

Socioeconomic disparities in colorectal cancer mortality in the United States, 1990-2007.

PubMed

Enewold, Lindsey; Horner, Marie-Josèphe; Shriver, Craig D; Zhu, Kangmin

2014-08-01

United States colorectal cancer mortality rates have declined; however, disparities by socioeconomic status and race/ethnicity persist. The objective of this study was to describe the temporal association between colorectal cancer mortality and socioeconomic status by sex and race/ethnicity. Cancer mortality rates in the United States from 1990 to 2007, which were generated by the National Center for Health Statistics, and county-level socioeconomic status, which was estimated as the proportion of county residents living below the national poverty line based on 1990 US Census Bureau data, were obtained from the Surveillance, Epidemiology, and End Results program. The Kunst-Mackenbach relative index of inequality, which considers data across all poverty levels when comparing risks in the poorest (≥ 20%) and richest counties (<10%), was calculated as the measure of association. The study found that colorectal cancer mortality rates were significantly lower in the poorest counties than the richest counties during 1990-1992 among non-Hispanic whites, non-Hispanic black women and non-Hispanic API men. Over time though the tendency was for the poorest counties to have higher mortality rates. By 2003-2007 colorectal cancer mortality rates were significantly higher in the poorest than the richest counties among all sex-race/ethnicity groups. This disparity was most noticeable and appeared to be increasing most among Hispanic men. This suggests that socioeconomic disparities in colorectal cancer mortality were apparent after stratifying by sex and race/ethnicity and reversed over time. Further studies into the causes of these disparities would provide a basis for targeted cancer control interventions and allocation of public health resources.

The importance of substate surveillance in detection of geographic oral health inequalities in a small state.

PubMed

Anderson, Ludmila; Martin, Nancy R; Flynn, Regina T; Knight, Susan

2012-01-01

Considering that 42% of children and adolescents and 91% of dentate adults experience dental caries, oral disease is a public health problem. Although the population's oral health is improving, certain subgroups remain at increased risk for dental disease. To assess the oral health status at the substate level and explore the possibility of geographic oral health inequalities in New Hampshire while building upon existing surveillance data sets. We used the Third Grade Oral Health and NH Behavioral Risk Factor Surveillance System surveys. We ensured the availability of substate level data and compared county/region specific estimates. New Hampshire. Adults and third-grade students in public schools. The prevalence of dental caries, untreated caries, and dental sealants among children; and the insurance status, utilization of dental services, and edentulism among adults. Of the 10 counties, the northernmost Coos County had consistently worse outcomes when compared with other counties. Only 64% of adult Coos County residents reported a dental visit in the past year; of these, 66% reported dental cleaning. Among adults 65 years and older, 29% were edentulous. In comparison with the state overall, these estimates were 76%, 77%, and 19%, respectively. Coos County third-grade students had the highest prevalence of dental caries experience (64% compared with 44% in New Hampshire) and untreated caries (31% compared with 12%), and only 24% had dental sealants (state prevalence is 60%). Overall oral health status in our state is favorable and comparable with the nation, yet significant geographic inequalities exist among children and adults. The oral health status of disparate groups can be improved using tailored interventions such as community water fluoridation or expansion of school-based dental sealant programs. Surveillance at the substate level is an essential part of the planning, targeting, and progress monitoring.

Environmental Impact Statement. Small Intercontinental Ballistic Missile Program. Malmstrom Air Force Base, Montana

DTIC Science & Technology

1987-12-01

Study for Sun River Electr’: Cooperative, Inc. Fairfield, Montana. Butler, G.C., C. Hyslop , and 0. Huntzinger (editors) 1980 Anthroposenic Compounds...Counties, Montana, 1980 -1984 3.1.3-2 Actual and Projected Population of Selected Montana ................ 3-7 Counties and Cities, the State of...by Grade Level 3.1.3-4 City of Great Falls Revenues and Expenditures, All Governmental .... 3-18 Governmental Funds, FY 1980 -2000 3.1.3-5 Cascade

Probabilistic, Decision-theoretic Disease Surveillance and Control

PubMed Central

Wagner, Michael; Tsui, Fuchiang; Cooper, Gregory; Espino, Jeremy U.; Harkema, Hendrik; Levander, John; Villamarin, Ricardo; Voorhees, Ronald; Millett, Nicholas; Keane, Christopher; Dey, Anind; Razdan, Manik; Hu, Yang; Tsai, Ming; Brown, Shawn; Lee, Bruce Y.; Gallagher, Anthony; Potter, Margaret

2011-01-01

The Pittsburgh Center of Excellence in Public Health Informatics has developed a probabilistic, decision-theoretic system for disease surveillance and control for use in Allegheny County, PA and later in Tarrant County, TX. This paper describes the software components of the system and its knowledge bases. The paper uses influenza surveillance to illustrate how the software components transform data collected by the healthcare system into population level analyses and decision analyses of potential outbreak-control measures. PMID:23569617

Potentiometric Surface of the Aquia Aquifer in Southern Maryland, September 2001

USGS Publications Warehouse

Curtin, Stephen E.; Andreasen, David C.; Wheeler, Judith C.

2002-01-01

This report presents a map showing the potentiometric surface of the Aquia aquifer in the Aquia Formation of Paleocene age in Southern Maryland during September 2001. The map is based on water-level measurements in 76 wells. The potentiometric surface was highest at 40 feet above sea level near the northern boundary and outcrop area of the aquifer in the central part of Anne Arundel County, and was below sea level in the remainder of the study area. The hydraulic gradient was directed southeastward toward an extensive cone of depression around well fields at Lexington Park and Solomons Island. A cone of depression formed in northern Calvert County due to pumpage at Chesapeake Beach and North Beach. The water level has declined to 44 feet below sea level in this area. The lowest measurement was 160 feet below sea level at the center of a cone of depression at Lexington Park.

15. View looking up Dramp from middle floor level showing ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

15. View looking up D-ramp from middle floor level showing lighting conduits and manometer panel on wall of decontamination area. Building 501, October 2, 1956 - Offutt Air Force Base, Strategic Air Command Headquarters & Command Center, Command Center, 901 SAC Boulevard, Bellevue, Sarpy County, NE

4. NORTH END OF TERMINAL ROOM, SHOP LEVEL SHOWING SPIRAL ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

4. NORTH END OF TERMINAL ROOM, SHOP LEVEL SHOWING SPIRAL STAIR TO CABLE RACK. Looking north. - Edwards Air Force Base, Air Force Rocket Propulsion Laboratory, Test Stand 1-A Terminal Room, Test Area 1-120, north end of Jupiter Boulevard, Boron, Kern County, CA

17. VIEW OF INTERIOR, EAST SIDE, DECK LEVEL OF MST. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

17. VIEW OF INTERIOR, EAST SIDE, DECK LEVEL OF MST. NOTE CANVAS CURTAIN (RIGHT) USED TO COVER SOUTH SIDE OF MST BELOW LOWEST ENVIRONMENTAL DOORS. - Vandenberg Air Force Base, Space Launch Complex 3, Launch Pad 3 West, Napa & Alden Roads, Lompoc, Santa Barbara County, CA

Identifying environmental features for land management decisions

NASA Technical Reports Server (NTRS)

1984-01-01

Multivariate statistical analysis and imaging processing techniques are being applied to the study of arid/semiarid environments, with emphasis on desertification. Field level indicators of land-soil biota degradation are being sifted out with staging up to the low aircraft reconnaissance level, to LANDSAT TM & MSS, and even to the AVHRR level. Three completed projects are reviewed: riparian habitat on the Humboldt River floodplain, Salt Lake County Urban expansion detection, and salinization/desertification detection in the delta area. Beginning projects summarized include: comparative condition of rangeland in Rush Valley; modeling a GIS/remote sensing data base for Cache County; universal soil loss equation applied to Pinyon-Juniper; relating MSS to ground radiometry near Battle Mountain; and riparian habitat mapping on Mary's River, Nevada.

OVERVIEW OF FOURTH LEVEL OF MISSILE LAB (ROOFTOP LEVEL OF ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

OVERVIEW OF FOURTH LEVEL OF MISSILE LAB (ROOFTOP LEVEL OF BUILDING) SHOWING TOP OF MISSILE TUBE. VIEW FACING WEST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

A comparison of rural high school students in Germany with rural Tennessee high school students' mathematics and science achievement

NASA Astrophysics Data System (ADS)

Harding, R. Fredrick

This descriptive study compared the science and mathematics aptitudes and achievement test scores for the final school year students in rural White County and Van Buren County, Tennessee with rural county students in Germany. In accordance with the previous research literature (Stevenson, 2002), German students outperformed U.S. students on The International Trends in Math and Science test (TIMSS). As reform in the U.S. education system has been underway, this study intended to compare German county student final school year performance with White County and Van Buren County (Grade 12) performance in science and mathematics. The entire populations of 176 White and Van Buren Counties senior high final school year students were compared with 120 school final year students from two rural German county high schools. The student responses to identical test and questionnaire items were compared using the t-test statistical analysis. In conclusion after t-test analyses, there was no significant difference (p>.05 level) in student attitudes on the 27 problem achievement and the 35 TIMSS questionnaire items between the sampled population of 120 German students compared with the population of 176 White and Van Buren students. Also, there was no statistically significant difference (p>.05 level) between the German, White, and Van Buren County rural science and math achievement in the TIMSS problem section of the final year test. Based on the research, recommendations to improve U.S. student scores to number one in the world include making changes in teaching methodology in mathematics and science; incorporating pamphlet lessons rather than heavily reliance on textbooks; focusing on problem solving; establishing an online clearinghouse for effective lessons; creating national standards in mathematics and science; matching students' course choices to job aspirations; tracking misbehaving students rather than mainstreaming them into the regular classroom; and designing individual educational plans for every student. Further study and future investigations are recommended from this study to compare White County and Van Buren County Students with other rural county schools in Tennessee, as well as other states. In addition, the Tennessee students' state mandated science and mathematics could be correlated to the TIMMS to identify trends and relationships. Future comparisons of White County and Van Buren County with higher scoring rural Asian students could be done in search of more effective methods of teaching science and mathematics.

Simulating the potential effects of plug-in hybrid electric vehicles on the energy budget and tax revenues for Onondaga County, New York

NASA Astrophysics Data System (ADS)

Balogh, Stephen B.

My objectives were to predict the energetic effects of a large increase in plug-in hybrid electric vehicles (PHEV) and their implications on fuel tax collections in Onondaga County. I examined two alternative taxation policies. To do so, I built a model of county energy consumption based on prorated state-level energy consumption data and census data. I used two scenarios to estimate energy consumption trends over the next 30 years and the effects of PHEV on energy use and fuel tax revenues. I found that PHEV can reduce county gasoline consumption, but they would curtail fuel tax revenues and increase residential electricity demand. A one-cent per VMT tax on PHEV users provides insufficient revenue to replace reduced fuel tax collection. A sales tax on electricity consumption generates sufficient replacement revenue at low PHEV market shares. However, at higher shares, the tax on electricity use would exceed the current county tax rate. Keywords: electricity, energy, gasoline, New York State, Onondaga County, plug-in hybrid electric vehicles, transportation model, tax policy

Characterization of groundwater resources in the Trinity and Woodbine aquifers in Texas.

PubMed

Chaudhuri, Sriroop; Ale, Srinivasulu

2013-05-01

A vast region in north-central Texas, centering on Dallas-Fort Worth metroplex, suffers from intense groundwater drawdown and water quality degradation, which led to inclusion of 18 counties of this region into Priority Groundwater Management Areas. We combined aquifer-based and county-based hydrologic analyses to (1) assess spatio-temporal changes in groundwater level and quality between 1960 and 2010 in the Trinity and Woodbine aquifers underlying the study region, (2) delve into major hydrochemical facies with reference to aquifer hydrostratigraphy, and (3) identify county-based spatial zones to aid in future groundwater management initiatives. Water-level and quality data was obtained from the Texas Water Development Board (TWDB) and analyzed on a decadal scale. Progressive water-level decline was the major concern in the Trinity aquifer with >50% of observations occurring at depths >100 m since the 1980s, an observation becoming apparent only in the 2000s in the Woodbine aquifer. Water quality degradation was the major issue in the Woodbine aquifer with substantially higher percentage of observations exceeding the secondary maximum contaminant levels (SMCL; a non-enforceable threshold set by the United State Environmental Protection Agency (USEPA)) and/or maximum contaminant level (MCL, a legally enforceable drinking water standard set by the USEPA) for sulfate (SO4(2-)), chloride (Cl(-)), and fluoride (F(-)) in each decade. In both aquifers, however, >70% of observations exceeded the SMCL for total dissolved solids indicating high groundwater salinization. Water-level changes in Trinity aquifer also had significant negative impact on water quality. Hydrochemical facies in this region sequentially evolved from Ca-Mg-HCO3 and Ca-HCO3 in the fluvial sediments of the west to Na-SO4-Cl in the deltaic sediments to the east. Sequentially evolving hydrogeochemical facies and increasing salinization closely resembled regional groundwater flow pattern. Distinct spatial zones based on homogenous hydrologic characteristics have become increasingly apparent over time indicating necessity of zone-specific groundwater management strategies. Copyright © 2013 Elsevier B.V. All rights reserved.

Counties eliminating racial disparities in colorectal cancer mortality.

PubMed

Rust, George; Zhang, Shun; Yu, Zhongyuan; Caplan, Lee; Jain, Sanjay; Ayer, Turgay; McRoy, Luceta; Levine, Robert S

2016-06-01

Although colorectal cancer (CRC) mortality rates are declining, racial-ethnic disparities in CRC mortality nationally are widening. Herein, the authors attempted to identify county-level variations in this pattern, and to characterize counties with improving disparity trends. The authors examined 20-year trends in US county-level black-white disparities in CRC age-adjusted mortality rates during the study period between 1989 and 2010. Using a mixed linear model, counties were grouped into mutually exclusive patterns of black-white racial disparity trends in age-adjusted CRC mortality across 20 three-year rolling average data points. County-level characteristics from census data and from the Area Health Resources File were normalized and entered into a principal component analysis. Multinomial logistic regression models were used to test the relation between these factors (clusters of related contextual variables) and the disparity trend pattern group for each county. Counties were grouped into 4 disparity trend pattern groups: 1) persistent disparity (parallel black and white trend lines); 2) diverging (widening disparity); 3) sustained equality; and 4) converging (moving from disparate outcomes toward equality). The initial principal component analysis clustered the 82 independent variables into a smaller number of components, 6 of which explained 47% of the county-level variation in disparity trend patterns. County-level variation in social determinants, health care workforce, and health systems all were found to contribute to variations in cancer mortality disparity trend patterns from 1990 through 2010. Counties sustaining equality over time or moving from disparities to equality in cancer mortality suggest that disparities are not inevitable, and provide hope that more communities can achieve optimal and equitable cancer outcomes for all. Cancer 2016;122:1735-48. © 2016 American Cancer Society. © 2016 American Cancer Society.

Golden eagle (Aquila chrysaetos) habitat selection as a function of land use and terrain, San Diego County, California

USGS Publications Warehouse

Tracey, Jeff A.; Madden, Melanie C.; Bloom, Peter H.; Katzner, Todd E.; Fisher, Robert N.

2018-04-16

Beginning in 2014, the U.S. Geological Survey, in collaboration with Bloom Biological, Inc., began telemetry research on golden eagles (Aquila chrysaetos) captured in the San Diego, Orange, and western Riverside Counties of southern California. This work was supported by the San Diego Association of Governments, California Department of Fish and Wildlife, the U.S. Fish and Wildlife Service, the Bureau of Land Management, and the U.S. Geological Survey. Since 2014, we have tracked more than 40 eagles, although this report focuses only on San Diego County eagles.An important objective of this research is to develop habitat selection models for golden eagles. Here we provide predictions of population-level habitat selection for golden eagles in San Diego County based on environmental covariates related to land use and terrain.

Generalized potentiometric surface, estimated depth to water, and estimated saturated thickness of the High Plains aquifer system, March–June 2009, Laramie County, Wyoming

USGS Publications Warehouse

Bartos, Timothy T.; Hallberg, Laura L.

2011-01-01

The High Plains aquifer system, commonly called the High Plains aquifer in many publications, is a nationally important water resource that underlies a 111-million-acre area (173,000 square miles) in parts of eight States including Wyoming. Through irrigation of crops with groundwater from the High Plains aquifer system, the area that overlies the aquifer system has become one of the major agricultural regions in the world. In addition, the aquifer system also serves as the primary source of drinking water for most residents of the region. The High Plains aquifer system is one of the largest aquifers or aquifer systems in the world. The High Plains aquifer system underlies an area of 8,190 square miles in southeastern Wyoming. Including Laramie County, the High Plains aquifer system is present in parts of five counties in southeastern Wyoming. The High Plains aquifer system underlies 8 percent of Wyoming, and 5 percent of the aquifer system is located within the State. Based on withdrawals for irrigation, public supply, and industrial use in 2000, the High Plains aquifer system is the most utilized source of groundwater in Wyoming. With the exception of the Laramie Mountains in western Laramie County, the High Plains aquifer system is present throughout Laramie County. In Laramie County, the High Plains aquifer system is the predominant groundwater resource for agricultural (irrigation), municipal, industrial, and domestic uses. Withdrawal of groundwater for irrigation (primarily in the eastern part of the county) is the largest use of water from the High Plains aquifer system in Laramie County and southeastern Wyoming. Continued interest in groundwater levels in the High Plains aquifer system in Laramie County prompted a study by the U.S. Geological Survey in cooperation with the Wyoming State Engineer's Office to update the potentiometric-surface map of the aquifer system in Laramie County. Groundwater levels were measured in wells completed in the High Plains aquifer system from March to June 2009. The groundwater levels were used to construct a map of the potentiometric surface of the High Plains aquifer system. In addition, depth to water and estimated saturated-thickness maps of the aquifer system were constructed using the potentiometric-surface map.

Water Levels and Selected Water-Quality Conditions in the Sparta-Memphis Aquifer (Middle Claiborne Aquifer) in Arkansas, Spring-Summer 2007

USGS Publications Warehouse

Schrader, T.P.

2009-01-01

The U.S. Geological Survey in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey has monitored water levels in the Sparta Sand of Claiborne Group and Memphis Sand of Claiborne Group (herein referred to as the Sparta Sand and the Memphis Sand, respectively), since the 1920s. Groundwater withdrawals have increased while water levels have declined since monitoring was initiated. Herein, aquifers in the Sparta Sand and Memphis Sand will be referred to as the Sparta-Memphis aquifer throughout Arkansas. During the spring of 2007, 309 water levels were measured in wells completed in the Sparta-Memphis aquifer. During the summer of 2007, 129 water-quality samples were collected and measured for temperature and specific conductance and 102 were collected and analyzed for chloride from wells completed in the Sparta-Memphis aquifer. Water-level measurements collected in wells screened in the Sparta-Memphis aquifer were used to produce a regional potentiometric-surface map. The regional direction of groundwater flow in the Sparta-Memphis aquifer is generally to the south-southeast in the northern half of Arkansas and to the east and south in the southern half of Arkansas, away from the outcrop area except where affected by large ground-water withdrawals. The highest water-level altitude measured in the Sparta-Memphis aquifer was 326 feet above National Geodetic Vertical Datum of 1929, located in Grant County in the outcrop at the western boundary of the study area; the lowest water-level altitude was 161 feet below National Geodetic Vertical Datum of 1929 in Union County near the southern boundary of the study area. Eight cones of depression (generally represented by closed contours) are located in the following counties: Bradley, Drew, and Ashley; Calhoun; Cleveland; Columbia; Crittenden; Arkansas, Jefferson, and Lincoln; Cross and Poinsett; and Union. Two large depressions are shown on the 2007 potentiometric-surface map, centered in Jefferson and Union Counties, as a result of large withdrawals for industrial and public supplies. The depression centered in Jefferson County deepened and expanded in recent years into Arkansas and Prairie Counties as a result of large withdrawals for irrigation and public supply. The area enclosed within the 40-foot contour has expanded on the 2007 potentiometric-surface map when compared with the 2005 potentiometric-surface map. In 2003, the depression in Union County was elongated east and west and beginning to coalesce with the depression in Columbia County. The deepest measurement during 2007 in the center of the depression in Union County has risen 38 feet since 2003. The area enclosed by the deepest contour, 160 feet below National Geodetic Vertical Datum of 1929, on the 2007 potentiometric-surface map is less than 10 percent of the area on the 2005 potentiometric-surface map. A broad depression in western Poinsett and Cross Counties was first shown in the 1995 potentiometric-surface map caused by withdrawals for irrigation extending north to the Poinsett-Craighead County line, and south into Cross County. A water-level difference map was constructed using the difference between water-level measurements made during 2003 and 2007 from 283 wells. The difference in water level between 2003 and 2007 ranged from -49.8 to 60.0 feet. Areas with a general rise in water levels are shown in northern Arkansas, Columbia, southern Jefferson, and most of Union Counties. In the area around west-central Union County, water levels rose as much as 60.0 feet with water levels in 15 wells rising 20 feet or more, which is an average annual rise of 5 feet or more. Water levels generally declined throughout most of the rest of Arkansas. Hydrographs from 157 wells were constructed with a minimum of 25 years of water-level measurements. During the period 1983-2007, the county mean annual water level rose in Calhoun, Columbia, Hot Spring, and Lafayette Counties. Mean an

Mean Cancer Mortality Rates in Low Versus High Elevation Counties in Texas

PubMed Central

Hart, John

2010-01-01

There is controversy as to whether low levels of radiation (i.e., < 5 rem) pose a health risk. This brief inquiry compares archived cancer mortality data in counties having relatively low (0–250 feet above sea level), medium (500–1000 feet above sea level), and high (3000+ feet above sea level) elevations also having corresponding greater natural background levels of radiation respectively. Cancer mortality was found to be lowest in the high elevation counties (mean = 58.2) followed by low elevation counties (67.5) and then medium elevation counties (70.4). Statistically significant differences were found between low –high elevations (p = 0.003), and medium – high elevations (p = 0.010), but not between low and medium elevations (p = 0.5). More rigorous research, with an accounting of confounding variables, is indicated. PMID:21191484

Pediatric Dentist Density and Preventive Care Utilization for Medicaid Children.

PubMed

Heidenreich, James F; Kim, Amy S; Scott, JoAnna M; Chi, Donald L

2015-01-01

The purpose of this study was to evaluate county-level pediatric dentist density and dental care utilization for Medicaid-enrolled children. This was a cross-sectional analysis of 604,885 zero- to 17-year-olds enrolled in the Washington State Medicaid Program for 11-12 months in 2012. The relationship between county-level pediatric dentist density, defined as the number of pediatric dentists per 10,000 Medicaid-enrolled children, and preventive dental care utilization was evaluated using linear regression models. In 2012, 179 pediatric dentists practiced in 16 of the 39 counties in Washington. County-level pediatric dentist density varied from zero to 5.98 pediatric dentists per 10,000 Medicaid-enrolled children. County-level preventive dental care utilization ranged from 32 percent to 81 percent, with 62 percent of Medicaid-enrolled children utilizing preventive dental services. County-level density was significantly associated with county-level dental care utilization (Slope equals 1.67, 95 percent confidence interval equals 0.02, 3.32, P<.05). There is a significant relationship between pediatric dentist density and the proportion of Medicaid-enrolled children who utilize preventive dental care services. Policies aimed at improving pediatric oral health disparities should include strategies to increase the number of oral health care providers, including pediatric dentists, in geographic areas with large proportions of Medicaid-enrolled children.

Urbanisation and incidence of acute lymphocytic leukaemia among United States children aged 0–4

PubMed Central

Adelman, A S; McLaughlin, C C; Wu, X-C; Chen, V W; Groves, F D

2005-01-01

Acute lymphocytic leukaemia (ALL) incidence among children under 5 years of age was examined, utilising data from 24 United States cancer registries. County-based incidence rates among white children were compared across four levels of urbanisation: large and small metropolitan counties, and adjacent and nonadjacent rural counties. In metropolitan areas, the incidence of ALL was lower among blacks (rate ratio (RR)=0.38, confidence interval (CI)=0.33–0.44) and among Asians/Pacific Islanders (RR=0.78, CI=0.63–0.97) than among whites. Among white children, the incidence of ALL decreased across the four strata of urbanisation, from 67 to 62 to 65 to 54 cases per million person-years at-risk (two-sided trend P=0.009), such that rates were significantly lower in the most remote rural counties than in the most populous metropolitan counties (RR=0.80, 95% CI=0.70–0.91). PMID:15886703

Methods and initial findings from the Durham Diabetes Coalition: Integrating geospatial health technology and community interventions to reduce death and disability.

PubMed

Spratt, Susan E; Batch, Bryan C; Davis, Lisa P; Dunham, Ashley A; Easterling, Michele; Feinglos, Mark N; Granger, Bradi B; Harris, Gayle; Lyn, Michelle J; Maxson, Pamela J; Shah, Bimal R; Strauss, Benjamin; Thomas, Tainayah; Califf, Robert M; Miranda, Marie Lynn

2015-03-01

The Durham Diabetes Coalition (DDC) was established in response to escalating rates of disability and death related to type 2 diabetes mellitus, particularly among racial/ethnic minorities and persons of low socioeconomic status in Durham County, North Carolina. We describe a community-based demonstration project, informed by a geographic health information system (GHIS), that aims to improve health and healthcare delivery for Durham County residents with diabetes. A prospective, population-based study is assessing a community intervention that leverages a GHIS to inform community-based diabetes care programs. The GHIS integrates clinical, social, and environmental data to identify, stratify by risk, and assist selection of interventions at the individual, neighborhood, and population levels. The DDC is using a multifaceted approach facilitated by GHIS to identify the specific risk profiles of patients and neighborhoods across Durham County. A total of 22,982 patients with diabetes in Durham County were identified using a computable phenotype. These patients tended to be older, female, African American, and not covered by private health insurance, compared with the 166,041 persons without diabetes. Predictive models inform decision-making to facilitate care and track outcomes. Interventions include: 1) neighborhood interventions to improve the context of care; 2) intensive team-based care for persons in the top decile of risk for death or hospitalization within the coming year; 3) low-intensity telephone coaching to improve adherence to evidence-based treatments; 4) county-wide communication strategies; and 5) systematic quality improvement in clinical care. To improve health outcomes and reduce costs associated with type 2 diabetes, the DDC is matching resources with the specific needs of individuals and communities based on their risk characteristics.

Evaluating gridded crop model simulations of evapotranspiration and irrigation using survey and remotely sensed data

NASA Astrophysics Data System (ADS)

Lopez Bobeda, J. R.

2017-12-01

The increasing use of groundwater for irrigation of crops has exacerbated groundwater sustainability issues faced by water limited regions. Gridded, process-based crop models have the potential to help farmers and policymakers asses the effects water shortages on yield and devise new strategies for sustainable water use. Gridded crop models are typically calibrated and evaluated using county-level survey data of yield, planting dates, and maturity dates. However, little is known about the ability of these models to reproduce observed crop evapotranspiration and water use at regional scales. The aim of this work is to evaluate a gridded version of the Decision Support System for Agrotechnology Transfer (DSSAT) crop model over the continental United States. We evaluated crop seasonal evapotranspiration over 5 arc-minute grids, and irrigation water use at the county level. Evapotranspiration was assessed only for rainfed agriculture to test the model evapotranspiration equations separate from the irrigation algorithm. Model evapotranspiration was evaluated against the Atmospheric Land Exchange Inverse (ALEXI) modeling product. Using a combination of the USDA crop land data layer (CDL) and the USGS Moderate Resolution Imaging Spectroradiometer Irrigated Agriculture Dataset for the United States (MIrAD-US), we selected only grids with more than 60% of their area planted with the simulated crops (corn, cotton, and soybean), and less than 20% of their area irrigated. Irrigation water use was compared against the USGS county level irrigated agriculture water use survey data. Simulated gridded data were aggregated to county level using USDA CDL and USGS MIrAD-US. Only counties where 70% or more of the irrigated land was corn, cotton, or soybean were selected for the evaluation. Our results suggest that gridded crop models can reasonably reproduce crop evapotranspiration at the country scale (RRMSE = 10%).

6. CABLE RACK, MEZZANINE LEVEL, INTERIOR OF TEST STAND 1A. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

6. CABLE RACK, MEZZANINE LEVEL, INTERIOR OF TEST STAND 1A. Looking south from north wall of terminal room. - Edwards Air Force Base, Air Force Rocket Propulsion Laboratory, Test Stand 1-A Terminal Room, Test Area 1-120, north end of Jupiter Boulevard, Boron, Kern County, CA

DETAIL VIEW ABOVE THE MAIN ASSEMBLY LEVEL SHOWING HOIST AT ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

DETAIL VIEW ABOVE THE MAIN ASSEMBLY LEVEL SHOWING HOIST AT COLUMN LINE U-6 USED FOR LIFTING WING COMPONENTS FROM THE WING ASSEMBLY ANNEX TO THE B-29 PRODUCTION LINE. - Offutt Air Force Base, Glenn L. Martin-Nebraska Bomber Plant, Building D, Peacekeeper Drive, Bellevue, Sarpy County, NE

County-level poverty and distant stage cancer in the United States.

PubMed

Greenlee, Robert T; Howe, Holly L

2009-08-01

Late stage cancer at diagnosis increases the likelihood of cancer death. We evaluated the relation of county-level poverty with late stage cancer for 18 anatomic sites using data from the North American Association of Central Cancer Registries. Stratified analysis and logistic regression were applied to 2 million incident cancers (1997-2000) from 32 states representing 57% of the United States. For 12 sites, higher county poverty significantly increased the odds of late stage, [adjusted odds ratio (95% confidence interval) comparing highest to lowest county poverty: larynx 2.4 (1.8-3.2), oral cavity 2.2 (1.8-2.7), melanoma 2.0 (1.5-2.8), female breast 1.9 (1.7-2.2), prostate 1.7 (1.5-1.9), corpus uteri 1.6 (1.3-1.9), cervix 1.6 (1.3-2.1), bladder 1.6 (1.2-2.1), colorectum 1.4 (1.3-1.5), esophagus 1.3 (1.1-1.7), stomach 1.3 (1.1-1.5), and kidney 1.3 (1.1-1.5)]. With some exceptions, county poverty associations with stage were comparable across gender and race, but stronger among metropolitan cases. A few differences by age may reflect screening patterns. In this large population-based study, higher county poverty independently predicted distant stage cancer. This held for several non-screenable cancers, suggesting improved area economic deprivation, including access to and utilization of good medical care might facilitate earlier diagnosis and longer survival even for cancers without practical screening approaches.

Impact of County-Level Socioeconomic Status on Oropharyngeal Cancer Survival in the United States.

PubMed

Megwalu, Uchechukwu C

2017-04-01

Objective To evaluate the impact of county-level socioeconomic status on survival in patients with oropharyngeal cancer in the United States. Study Design Retrospective cohort study via a large population-based cancer database. Methods Data were extracted from the SEER 18 database (Surveillance, Epidemiology, and End Results) of the National Cancer Institute. The study cohort included 18,791 patients diagnosed with oropharyngeal squamous cell carcinoma between 2004 and 2012. Results Patients residing in counties with a low socioeconomic status index had worse overall survival (56.5% vs 63.0%, P < .001) and disease-specific survival (62.7% vs 70.3%, P < .001) than patients residing in counties with a high socioeconomic status index. On multivariable analysis, residing in a county with a low socioeconomic status index was associated with worse overall survival (hazard ratio, 1.21; 95% CI, 1.14-1.29; P < .001) and disease-specific survival (hazard ratio, 1.21; 95% CI, 1.12-1.30; P < .001), after adjusting for race, age, sex, marital status, year of diagnosis, site, American Joint Committee on Cancer stage group, presence of distant metastasis, presence of unresectable tumor, histologic grade, surgical resection of primary site, treatment with neck dissection, and radiation therapy. Conclusion Residing in a county with a low socioeconomic status index is associated with worse survival. Further research is needed to elucidate the mechanism by which socioeconomic status affects survival in oropharyngeal cancer.

Potentiometric Surface of the Upper Patapsco Aquifer in Southern Maryland, September 2007

USGS Publications Warehouse

Curtin, Stephen E.; Andreasen, David C.; Staley, Andrew W.

2009-01-01

This report presents a map showing the potentiometric surface of the upper Patapsco aquifer in the Patapsco Formation of Early Cretaceous age in Southern Maryland during September 2007. The map is based on water-level measurements in 50 wells. The highest measured water level was 120 feet above sea level near the northern boundary and outcrop area of the aquifer in northern Anne Arundel County. From this area, the potentiometric surface declined to the south toward a well field in the Annapolis-Arnold area, and from all directions toward four cones of depression. These cones are located in the Waldorf-La Plata area, Chalk Point-Prince Frederick area, Swan Point subdivision in southern Charles County, and the Lexington Park-St. Inigoes area. The lowest measured ground-water level was 44 feet below sea level at Arnold, 106 feet below sea level south of Waldorf, 54 feet below sea level at Swan Point, 59 feet below sea level at Chalk Point, and 58 feet below sea level at Lexington Park.

Ground-water levels in Huron County, Michigan, January 1996 through December 1996

USGS Publications Warehouse

Sweat, M.J.

1997-01-01

In 1990, the U.S. Geological Survey (USGS) completed a study of the hydrogeology of Huron County, Michigan (Sweat, 1991). In 1993, Huron County and the USGS entered into an agreement to continue collecting water levels at selected wells throughout Huron County. As part of the agreement, the USGS has provided training and instrumentation for County personnel to measure, on a quarterly basis, the depth to water below the land surface in selected wells. The agreement includes the operation of continuous water-level recorders installed on four wells in Bingham, Fairhaven, Grant and Lake Townships (fig. 1). County personnel make quarterly water-level measurements of 22 other wells. Once each year, County personnel are accompanied by USGS personnel who provide a quality assurance/quality control check of all measurements being made.Precipitation and the altitude of Lake Huron are good indicators of general climatic conditions and, therefore, provide an environmental context for ground-water levels in Huron County. Figure 2 shows the mean monthly water-level altitude of Lake Huron, averaged from measurements made by U.S. Army Corps of Engineers at two sites, and mean monthly precipitation as recorded in Huron County, for the period October 1988 through December 1996. In general, Lake Huron water levels in 1996 were about the same as they were from 1992-94 (NOAA, 1988-96). Precipitation was generally within the normal range, but was lower than 1993 or 1994. Rainfall during May, June, and July was, cumulatively, about 8.5 inches less in 1995 than in 1994.Hydrographs are presented for each of four wells with water-level recorders. Quarterly water-level measurements and range of water levels during 1996 for the other 22 wells are shown graphically and tabulated.In general, water levels in the glaciofluvial aquifer reflect seasonal variations, with maximum depths to water occurring in late summer and early fall and minimum depths to water occurring in late winter and early spring. In general, wells completed in the lower part of the Marshall aquifer continue to show an increase in water-level altitude from the original project period (1988-90); wells completed in the upper part of the Marshall aquifer showed little variation in water-level altitudes compared to previous years. Wells completed in the Saginaw aquifer continued to show higher water level altitudes in 1995, not only near the lake but also farther inland, while water-level altitudes in wells completed in the Coldwater confining unit showed a small increase from the original project period. Water-level altitudes were higher in the southwest and central parts of the County during 1995 than in the previous year, and water-level altitudes were for the most-part unchanged in the northwest, northeast, and southeast parts of the county during 1995. All wells with recorders had lower water levels in September 1995 than in 1993-94. Lower than average precipitation during May-August is the primary reason for lower levels.

The geography of diabetes by census tract in a large sample of insured adults in King County, Washington, 2005-2006.

PubMed

Drewnowski, Adam; Rehm, Colin D; Moudon, Anne V; Arterburn, David

2014-07-24

Identifying areas of high diabetes prevalence can have an impact on public health prevention and intervention programs. Local health practitioners and public health agencies lack small-area data on obesity and diabetes. Clinical data from the Group Health Cooperative health care system were used to estimate diabetes prevalence among 59,767 adults by census tract. Area-based measures of socioeconomic status and the Modified Retail Food Environment Index were obtained at the census-tract level in King County, Washington. Spatial analyses and regression models were used to assess the relationship between census tract-level diabetes and area-based socioeconomic status and food environment variables. The mediating effect of obesity on the geographic distribution of diabetes was also examined. In this population of insured adults, diabetes was concentrated in south and southeast King County, with smoothed diabetes prevalence ranging from 6.9% to 21.2%. In spatial regression models, home value and college education were more strongly associated with diabetes than was household income. For each 50% increase in median home value, diabetes prevalence was 1.2 percentage points lower. The Modified Retail Food Environment Index was not related to diabetes at the census-tract level. The observed associations between area-based socioeconomic status and diabetes were largely mediated by obesity (home value, 58%; education, 47%). The observed geographic disparities in diabetes among insured adults by census tract point to the importance of area socioeconomic status. Small-area studies can help health professionals design community-based programs for diabetes prevention and control.

Community covariates of malnutrition based mortality among older adults.

PubMed

Lee, Matthew R; Berthelot, Emily R

2010-05-01

The purpose of this study was to identify community level covariates of malnutrition-based mortality among older adults. A community level framework was delineated which explains rates of malnutrition-related mortality among older adults as a function of community levels of socioeconomic disadvantage, disability, and social isolation among members of this group. County level data on malnutrition mortality of people 65 years of age and older for the period 2000-2003 were drawn from the CDC WONDER system databases. County level measures of older adult socioeconomic disadvantage, disability, and social isolation were derived from the 2000 US Census of Population and Housing. Negative binomial regression models adjusting for the size of the population at risk, racial composition, urbanism, and region were estimated to assess the relationships among these indicators. Results from negative binomial regression analysis yielded the following: a standard deviation increase in socioeconomic/physical disadvantage was associated with a 12% increase in the rate of malnutrition mortality among older adults (p < 0.001), whereas a standard deviation increase in social isolation was associated with a 5% increase in malnutrition mortality among older adults (p < 0.05). Community patterns of malnutrition based mortality among older adults are partly a function of levels of socioeconomic and physical disadvantage and social isolation among older adults. 2010 Elsevier Inc. All rights reserved.

Moderation of the Relation of County-Level Cost of Living to Nutrition by the Supplemental Nutrition Assistance Program.

PubMed

Basu, Sanjay; Wimer, Christopher; Seligman, Hilary

2016-11-01

To examine the association of county-level cost of living with nutrition among low-income Americans. We used the National Household Food Acquisition and Purchase Survey (2012-2013; n = 14 313; including 5414 persons in households participating in the Supplemental Nutrition Assistance Program [SNAP]) to examine associations between county-level cost-of-living metrics and both food acquisitions and the Healthy Eating Index, with control for individual-, household-, and county-level covariates and accounting for unmeasured confounders influencing both area of living and food acquisition. Living in a higher-cost county-particularly one with high rent costs-was associated with significantly lower volume of acquired vegetables, fruits, and whole grains; greater volume of acquired refined grains, fats and oils, and added sugars; and an 11% lower Healthy Eating Index score. Participation in SNAP was associated with nutritional improvements among persons living in higher-cost counties. Living in a higher-cost county (particularly with high rent costs) is associated with poorer nutrition among low-income Americans, and SNAP may mitigate the negative nutritional impact of high cost of living.

Association Between County-Level Characteristics and Eye Care Use by US Adults in 22 States After Accounting for Individual-Level Characteristics Using a Conceptual Framework.

PubMed

Chou, Chiu-Fang; Beckles, Gloria L; Cheng, Yiling J; Saaddine, Jinan B

2016-10-01

Individual-level characteristics are associated with eye care use. The influence of contextual factors on vision and eye health, as well as health behavior, is unknown. To examine the association between county-level characteristics and eye care use after accounting for individual-level characteristics using a conceptual framework. This investigation was a cross-sectional study of respondents 40 years and older participating in the Behavioral Risk Factor Surveillance System surveys between 2006 and 2010 from 22 states that used the Visual Impairment and Access to Eye Care module. Multilevel regressions were used to examine the association between county-level characteristics and eye care use after adjusting for individual-level characteristics (age, sex, race/ethnicity, educational attainment, annual household income, employment status, health care insurance coverage, eye care insurance coverage, personal established physician, poor vision or eye health, and diabetes status). Data analysis was performed from March 23, 2014, to June 7, 2016. Eye care visit and receipt of a dilated eye examination in the past year. Among 117 295 respondents who resided in 828 counties, individual-level data were obtained from the Behavioral Risk Factor Surveillance System surveys. All county-level variables were aggregated at the county level from the Behavioral Risk Factor Surveillance System surveys except for a high geographic density of eye care professionals, which was obtained from the 2010 Area Health Resource File. After controlling for individual-level characteristics, the odds of reporting an eye care visit in the past year were significantly higher among people living in counties with high percentages of black individuals (adjusted odds ratio [aOR], 1.12; 95% CI, 1.01-1.24; P = .04) or low-income households (aOR, 1.12; 95% CI, 1.00-1.25; P = .045) or with a high density of eye care professionals (aOR, 1.18; 95% CI, 1.07-1.29; P < .001) than among those living in counties with the lowest tertile of each county-level characteristic. The odds of reporting receipt of a dilated eye examination in the past year were also higher among people living in counties with the highest percentages of black individuals (aOR, 1.20; 95% CI, 1.07-1.34; P = .002) or low-income households (aOR, 1.17; 95% CI, 1.04-1.32; P = .01). However, the odds of reported receipt of a dilated eye examination in the past year were lower in counties with the highest percentages of people with poor vision and eye health compared with counties with lower percentages (aOR, 0.85; 95% CI, 0.77-0.94; P = .002). Contextual factors, measured at the county level, were associated with eye care use independent of individual-level characteristics. The findings suggest that, while individual characteristics influence health care use, it is also important to address contextual factors to improve eye care use and ultimately vision health.

A statewide investigation of geographic lung cancer incidence patterns and radon exposure in a low-smoking population.

PubMed

Ou, Judy Y; Fowler, Brynn; Ding, Qian; Kirchhoff, Anne C; Pappas, Lisa; Boucher, Kenneth; Akerley, Wallace; Wu, Yelena; Kaphingst, Kimberly; Harding, Garrett; Kepka, Deanna

2018-01-31

Lung cancer is the leading cause of cancer-related mortality in Utah despite having the nation's lowest smoking rate. Radon exposure and differences in lung cancer incidence between nonmetropolitan and metropolitan areas may explain this phenomenon. We compared smoking-adjusted lung cancer incidence rates between nonmetropolitan and metropolitan counties by predicted indoor radon level, sex, and cancer stage. We also compared lung cancer incidence by county classification between Utah and all SEER sites. SEER*Stat provided annual age-adjusted rates per 100,000 from 1991 to 2010 for each Utah county and all other SEER sites. County classification, stage, and sex were obtained from SEER*Stat. Smoking was obtained from Environmental Public Health Tracking estimates by Ortega et al. EPA provided low (< 2 pCi/L), moderate (2-4 pCi/L), and high (> 4 pCi/L) indoor radon levels for each county. Poisson models calculated overall, cancer stage, and sex-specific rates and p-values for smoking-adjusted and unadjusted models. LOESS smoothed trend lines compared incidence rates between Utah and all SEER sites by county classification. All metropolitan counties had moderate radon levels; 12 (63%) of the 19 nonmetropolitan counties had moderate predicted radon levels and 7 (37%) had high predicted radon levels. Lung cancer incidence rates were higher in nonmetropolitan counties than metropolitan counties (34.8 vs 29.7 per 100,000, respectively). Incidence of distant stage cancers was significantly higher in nonmetropolitan counties after controlling for smoking (16.7 vs 15.4, p = 0.02*). Incidence rates in metropolitan, moderate radon and nonmetropolitan, moderate radon counties were similar. Nonmetropolitan, high radon counties had a significantly higher incidence of lung cancer compared to nonmetropolitan, moderate radon counties after adjustment for smoking (41.7 vs 29.2, p < 0.0001*). Lung cancer incidence patterns in Utah were opposite of metropolitan/nonmetropolitan trends in other SEER sites. Lung cancer incidence and distant stage incidence rates were consistently higher in nonmetropolitan Utah counties than metropolitan counties, suggesting that limited access to preventative screenings may play a role in this disparity. Smoking-adjusted incidence rates in nonmetropolitan, high radon counties were significantly higher than moderate radon counties, suggesting that radon was also major contributor to lung cancer in these regions. National studies should account for geographic and environmental factors when examining nonmetropolitan/metropolitan differences in lung cancer.

Status of Water Levels and Selected Water-Quality Conditions in the Sparta-Memphis Aquifer in Arkansas and the Status of Water Levels in the Sparta Aquifer in Louisiana, Spring 2005

USGS Publications Warehouse

Schrader, T.P.; Jones, J.S.

2007-01-01

The U.S. Geological Survey in cooperation with the Arkansas Natural Resources Commission, the Arkansas Geological Commission, and the Louisiana Department of Transportation and Development has monitored water levels in the Sparta Sand of Claiborne Group and Memphis Sand of Claiborne Group since the 1920's. Ground-water withdrawals have increased while water levels have declined since monitoring was initiated. This report has been produced to describe ground-water levels in the aquifers in the Sparta Sand and Memphis Sand and provide information for the management of this valuable resource. The 2005 potentiometric-surface map of the aquifers in the Sparta Sand and Memphis Sand was constructed using water-level data collected in 333 wells in Arkansas and 120 wells in Louisiana during the spring of 2005. The highest water-level altitude measured in Arkansas was 327 feet above National Geodetic Vertical Datum of 1929 located in Grant County in the outcrop at the western boundary of the study area; the lowest water-level altitude was 189 feet below National Geodetic Vertical Datum of 1929 in Union County. The highest water-level altitude measured in Louisiana was 246 feet above National Geodetic Vertical Datum of 1929 located in Bossier Parish in the outcrop area near the western boundary of the study area; the lowest water-level altitude was 226 feet below National Geodetic Vertical Datum of 1929 in central Ouachita Parish. Three large depressions centered in Columbia, Jefferson, and Union Counties in Arkansas are the result of large withdrawals for industrial and public supplies. In Louisiana, three major pumping centers are in Ouachita, Jackson, and Lincoln Parishes. Water withdrawals from these major pumping centers primarily is used for industrial and public-supply purposes. Withdrawals from Ouachita and Lincoln Parishes and Union County, Arkansas, primarily for industrial purposes, have caused the resulting cones of depression to coalesce so that the -40 foot potentiometric contour encircles the three pumping centers. Seven smaller depressions are evident on the 2005 Sparta-Memphis potentiometric-surface map located in Webster and Winn Parishes, Louisiana, and Calhoun, Cleveland, western Columbia, Desha, and Lafayette Counties, Arkansas. The depression in Calhoun County initially was shown in the 1996-1997 potentiometric surface. The depression in Desha County initially was shown in the 1999 potentiometric surface. The depressions in Webster and Winn Parishes were shown as early as 1975. The depressions in Cleveland, western Columbia, and Lafayette Counties initially were shown in the 2003 potentiometric surface. A map of differences in water-level measurements between 2001 and 2005 was constructed using the difference between water-level measurements from 294 wells in Arkansas and 29 wells in Louisiana. The difference in water levels between 2001 and 2005 ranged from -30.1 to 44.6 feet. The largest rise of 44.6 feet in water level measured was in Union County in Arkansas. The largest decline of 30.1 feet in water level measured was in Columbia County in Arkansas. Areas with a general rise in water levels in Arkansas are shown in Arkansas, Columbia, Craighead, Jefferson, Prairie, and the western half of Union Counties. The area around west-central Union County had rises as much as 44.6 feet, with seven wells showing a rise of 20 feet or greater, which is an annual rise of 5 feet or greater. Areas in Arkansas with a general decline in water level are shown in western Bradley, eastern Calhoun, Cleveland, Cross, Desha, Drew, Lafayette, Lee, Lincoln, Lonoke, Poinsett, and the eastern half of Union Counties. In Louisiana, the water-level difference map showed a general rise in water levels in northern Claiborne, northern Webster, and northwestern Union Parishes mainly because of a decrease in industrial withdrawals in southern Arkansas, particularly Union County. Another rise in water level was indicated in western

Summary and statistical analysis of precipitation and groundwater data for Brunswick County, North Carolina, Water Year 2008

USGS Publications Warehouse

McSwain, Kristen Bukowski; Strickland, A.G.

2010-01-01

Groundwater conditions in Brunswick County, North Carolina, have been monitored continuously since 2000 through the operation and maintenance of groundwater-level observation wells in the surficial, Castle Hayne, and Peedee aquifers of the North Atlantic Coastal Plain aquifer system. Groundwater-resource conditions for the Brunswick County area were evaluated by relating the normal range (25th to 75th percentile) monthly mean groundwater-level and precipitation data for water years 2001 to 2008 to median monthly mean groundwater levels and monthly sum of daily precipitation for water year 2008. Summaries of precipitation and groundwater conditions for the Brunswick County area and hydrographs and statistics of continuous groundwater levels collected during the 2008 water year are presented in this report. Groundwater levels varied by aquifer and geographic location within Brunswick County, but were influenced by drought conditions and groundwater withdrawals. Water levels were normal in two of the eight observation wells and below normal in the remaining six wells. Seasonal Kendall trend analysis performed on more than 9 years of monthly mean groundwater-level data collected in an observation well located within the Brunswick County well field indicated there is a strong downward trend, with water levels declining at a rate of about 2.2 feet per year.

Water levels of the Ozark aquifer in northern Arkansas, 2013

USGS Publications Warehouse

Schrader, Tony P.

2015-07-13

Nine hydrographs were selected as representative of the water-level conditions in their respective counties. Wells in Fulton, Izard, and Newton Counties (station names 20N08W27ABD1, 18N09W15BCB1, and 16N21W34ABC1, respectively) have water levels that are within the usual range of values for their respective counties. Wells in Boone, Marion, and Washington Counties (station names 18N19W19BCC1, 19N15W20ACC1, and 16N32W09ABD1, respectively) have water levels that have recently declined or are declining for the period of record. Wells in Benton, Carroll, and Sharp Counties (station names 19N29W07DAA1, 21N26W17BCC1, and 15N05W06DDD1, respectively) have water levels that have been rising recently.

Potentiometric Surface of the Aquia Aquifer in Southern Maryland, September 2002

USGS Publications Warehouse

Curtin, Stephen E.; Andreasen, David C.; Wheeler, Judith C.

2003-01-01

This report presents a map showing the potentiometric surface of the Aquia aquifer in the Aquia Formation of Paleocene age in Southern Maryland during September 2002. The map is based on water-level measurements in 94 wells. The highest measured water level was 38 feet above sea level near the northern boundary and outcrop area of the aquifer in the central part of Anne Arundel County, and was below sea level just south of this area and in the remainder of the study area. The hydraulic gradient increased southeastward toward an extensive cone of depression around well fields at Lexington Park and Solomons Island. Another cone of depression occurred in northern Calvert County due to pumpage at and near Chesapeake Beach and North Beach. The water level measured in this area has declined to 55 feet below sea level. The lowest water level measured was 169 feet below sea level at the center of a cone of depression at Lexington Park.

Potentiometric surface of the Aquia Aquifer in southern Maryland, September 2003

USGS Publications Warehouse

Curtin, Stephen E.; Andreason, David C.; Wheeler, Judith C.

2005-01-01

This report presents a map showing the potentiometric surface of the Aquia aquifer in the Aquia Formation of Paleocene age in Southern Maryland during September 2003. The map is based on water-level measurements in 91 wells. The highest measured water level was 40 feet above sea level near the northern boundary and outcrop area of the aquifer in the central part of Anne Arundel County, and was below sea level just south of this area and in the remainder of the study area. The hydraulic gradient increased southeastward toward an extensive cone of depression around well fields at Lexington Park and Solomons Island. Another cone of depression occurred in northern Calvert County due to pumpage at and near North Beach and Chesapeake Beach. The water level measured in this area has declined to 48 feet below sea level. The lowest water level measured was 156 feet below sea level at the center of a cone of depression at Lexington Park.

GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery

NASA Astrophysics Data System (ADS)

Zhao, M.

2017-12-01

Accurate data on gross domestic product (GDP) at pixel level are needed to understand the dynamics of regional economies. GDP spatialization is the basis of quantitative analysis on economic diversities of different administrative divisions and areas with different natural or humanistic attributes. Data from the Visible Infrared Imaging Radiometer Suite (VIIRS), carried by the Suomi National Polar-orbiting Partnership (NPP) satellite, are capable of estimating GDP, but few studies have been conducted for mapping GDP at pixel level and further pattern analysis of economic differences in different regions using the VIIRS data. This paper produced a pixel-level (500 m × 500 m) GDP map for South China in 2014 and quantitatively analyzed economic differences among diverse geomorphological types. Based on a regression analysis, the total nighttime light (TNL) of corrected VIIRS data were found to exhibit R2 values of 0.8935 and 0.9243 for prefecture GDP and county GDP, respectively. This demonstrated that TNL showed a more significant capability in reflecting economic status (R2 > 0.88) than other nighttime light indices (R2 < 0.52), and showed quadratic polynomial relationships with GDP rather than simple linear correlations at both prefecture and county levels. The corrected NPP-VIIRS data showed a better fit than the original data, and the estimation at the county level was better than at the prefecture level. The pixel-level GDP map indicated that: (a) economic development in coastal areas was higher than that in inland areas; (b) low altitude plains were the most developed areas, followed by low altitude platforms and low altitude hills; and (c) economic development in middle altitude areas, and low altitude hills and mountains remained to be strengthened.

Individual and county level predictors of asthma related emergency department visits among children on Medicaid: A multilevel approach.

PubMed

Baltrus, Peter; Xu, Junjun; Immergluck, Lilly; Gaglioti, Anne; Adesokan, Adeola; Rust, George

2017-01-02

Disparities in asthma outcomes are well documented in the United States. Interventions to promote equity in asthma outcomes could target factors at the individual and community levels. The objective of this analysis was to understand the effect of individual (race, gender, age, and preventive inhaler use) and county-level factors (demographic, socioeconomic, health care, air-quality) on asthma emergency department (ED) visits among Medicaid-enrolled children. This was a retrospective cohort study of Medicaid-enrolled children with asthma in 29 states in 2009. Multilevel regression models of asthma ED visits were constructed utilizing individual-level variables (race, gender, age, and preventive inhaler use) from the Medicaid enrollment file and county-level variables reflecting population and health system characteristics from the Area Resource File (ARF). County-level measures of air quality were obtained from Environmental Protection Agency (EPA) data. The primary modifiable risk factor at the individual level was found to be the ratio of long-term controller medications to total asthma medications. County-level factors accounted for roughly 6% of the variance in the asthma ED visit risk. Increasing county-level racial segregation (OR=1.04, 95% CI=1.01-1.08) was associated with increasing risk of asthma ED visits. Greater supply of pulmonary physicians at the county level (OR=0.81, 95% CI=0.68-0.97) was associated with a reduction in risk of asthma ED visits. At the patient care level, proper use of controller medications is the factor most amenable to intervention. There is also a societal imperative to address negative social determinants, such as residential segregation.

Impact of managed care on cancer trial enrollment.

PubMed

Gross, C P; Krumholz, H M

2005-06-01

To determine the relationship between managed care market activity and cancer trial enrollment. Trial participant data were obtained from the National Cancer Institute. Participants in cooperative group trials of breast, colorectal, lung, or prostate cancer during the years 1996 through 2001 were assigned to counties based on their zip code of residence. Linear regression was used to determine the relationship between county enrollment rate and two measures of county managed care activity (penetration and index of competition [IOC]), adjusting for other county characteristics. In bivariate analysis, there was a strong inverse correlation between trial enrollment rate and IOC (r = -0.23; P < .001) as well as the proportion of the population uninsured (-0.31; P < .001) and the percentage below poverty (-0.16; P < .001). In the multivariate model, greater county managed care competition (IOC) was inversely related to trial enrollment rate (P < .008 for comparison of each quartile v lowest quartile) after accounting for managed care penetration, proportion uninsured, and other county characteristics. Counties in the lowest quartile of managed care penetration tended to have lower enrollment rates than the remaining counties (r = -0.05; P = .048), while counties in the second, third, and fourth quartiles of penetration all had similar enrollment rates to one another. Cancer trial enrollment rates were suboptimal across all counties, and counties with higher levels of managed care competition had significantly lower enrollment rates. The relationship between managed care penetration and trial enrollment was less consistent. Future efforts to enhance trial participation should address the potential negative influence of market factors.

Priority setting for health in the context of devolution in Kenya: implications for health equity and community-based primary care

PubMed Central

McCollum, Rosalind; Theobald, Sally; Otiso, Lilian; Martineau, Tim; Karuga, Robinson; Barasa, Edwine; Molyneux, Sassy; Taegtmeyer, Miriam

2018-01-01

Abstract Devolution changes the locus of power within a country from central to sub-national levels. In 2013, Kenya devolved health and other services from central government to 47 new sub-national governments (known as counties). This transition seeks to strengthen democracy and accountability, increase community participation, improve efficiency and reduce inequities. With changing responsibilities and power following devolution reforms, comes the need for priority-setting at the new county level. Priority-setting arises as a consequence of the needs and demand for healthcare resources exceeding the resources available, resulting in the need for some means of choosing between competing demands. We sought to explore the impact of devolution on priority-setting for health equity and community health services. We conducted key informant and in-depth interviews with health policymakers, health providers and politicians from 10 counties (n = 269 individuals) and 14 focus group discussions with community members based in 2 counties (n = 146 individuals). Qualitative data were analysed using the framework approach. We found Kenya’s devolution reforms were driven by the need to demonstrate responsiveness to county contexts, with positive ramifications for health equity in previously neglected counties. The rapidity of the process, however, combined with limited technical capacity and guidance has meant that decision-making and prioritization have been captured and distorted for political and power interests. Less visible community health services that focus on health promotion, disease prevention and referral have been neglected within the prioritization process in favour of more tangible curative health services. The rapid transition in power carries a degree of risk of not meeting stated objectives. As Kenya moves forward, decision-makers need to address the community health gap and lay down institutional structures, processes and norms which promote health equity for all Kenyans. PMID:29846599

Cholera outbreak in Homa Bay County, Kenya, 2015.

PubMed

Githuku, Jane Njoki; Boru, Waqo Gufu; Hall, Casey Daniel; Gura, Zeinab; Oyugi, Elvis; Kishimba, Rogath Saika; Semali, Innocent; Farhat, Ghada Nadim; Mattie Park, Meeyoung

2017-01-01

Cholera is among the re-emerging diseases in Kenya. Beginning in December 2014, a persistent outbreak occurred involving 29 out of the 47 countries. Homa Bay County in Western Kenya was among the first counties to report cholera cases from January to April 2015. This case study is based on an outbreak investigation conducted by FELTP residents in Homa Bay County in February 2015. It simulates an outbreak investigation including laboratory confirmation, active case finding, descriptive epidemiology and implementation of control measures. This case study is designed for the training of basic level field epidemiology trainees or any other health care workers working in public health-related fields. It can be administered in 2-3 hours. Used as adjunct training material, the case study provides the trainees with competencies in investigating an outbreak in preparation for the actual real-life experience of such outbreaks.

6. ENGINE TEST CELL BUILDING INTERIOR. CENTRAL OFFICE AREA ON ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

6. ENGINE TEST CELL BUILDING INTERIOR. CENTRAL OFFICE AREA ON BASEMENT LEVEL. LOOKING WEST. - Fairchild Air Force Base, Engine Test Cell Building, Near intersection of Arnold Street & George Avenue, Spokane, Spokane County, WA

Recent trends in breast cancer incidence in US white women by county-level urban/rural and poverty status.

PubMed

Hausauer, Amelia K; Keegan, Theresa H M; Chang, Ellen T; Glaser, Sally L; Howe, Holly; Clarke, Christina A

2009-06-26

Unprecedented declines in invasive breast cancer rates occurred in the United States between 2001 and 2004, particularly for estrogen receptor-positive tumors among non-Hispanic white women over 50 years. To understand the broader public health import of these reductions among previously unstudied populations, we utilized the largest available US cancer registry resource to describe age-adjusted invasive and in situ breast cancer incidence trends for non-Hispanic white women aged 50 to 74 years overall and by county-level rural/urban and poverty status. We obtained invasive and in situ breast cancer incidence data for the years 1997 to 2004 from 29 population-based cancer registries participating in the North American Association of Central Cancer Registries resource. Annual age-adjusted rates were examined overall and by rural/urban and poverty of patients' counties of residence at diagnosis. Joinpoint regression was used to assess trends by annual quarter of diagnosis. Between 2001 and 2004, overall invasive breast cancer incidence fell 13.2%, with greater reductions among women living in urban (-13.8%) versus rural (-7.5%) and low- (-13.0%) or middle- (-13.8%) versus high- (-9.6%) poverty counties. Most incidence rates peaked around 1999 then declined after second quarter 2002, although in rural counties, rates decreased monotonically after 1999. Similar but more attenuated patterns were seen for in situ cancers. Breast cancer rates fell more substantially in urban and low-poverty, affluent counties than in rural or high-poverty counties. These patterns likely reflect a major influence of reductions in hormone therapy use after July 2002 but cannot exclude possible effects due to screening patterns, particularly among rural populations where hormone therapy use was probably less prevalent.

Pediatric dentist density and preventive care utilization for Medicaid children

PubMed Central

Heidenreich, James F.; Kim, Amy S.; Scott, JoAnna M.; Chi, Donald L.

2014-01-01

Purpose This study evaluates the relationship between county-level pediatric dentist density and dental care utilization for Medicaid-enrolled children in Washington State. Methods This is a cross-sectional analysis of 604,885 children ages 0-17 enrolled in the Washington State Medicaid Program for ≥11 months in 2012. The relationship between county-level pediatric dentist density, defined as the number of pediatric dentists per 10,000 Medicaid-enrolled children, and preventive dental care utilization was evaluated using linear regression models. Results In 2012, 179 pediatric dentists practiced in 16 of the 39 counties in Washington. County-level pediatric dentist density varied from zero to 5.98 pediatric dentists per 10,000 Medicaid-enrolled children. County-level preventive dental care utilization ranged from 32 percent to 81 percent, with 62 percent of Medicaid-enrolled children in Washington utilizing preventive dental services. After adjusting for confounders, county-level density was significantly associated with county-level dental care utilization (β=1.67, 95 percent CI=0.02, 3.32, p=0.047). Conclusions There is a significant relationship between pediatric dentist density and the proportion of Medicaid-enrolled children who utilize preventive dental care services. Policies aimed at improving pediatric oral health disparities should include strategies to increase the number of oral health care providers, including pediatric dentists, in geographic areas with large proportions of Medicaid-enrolled children. PMID:26314606

Determination of the optimal level for combining area and yield estimates

NASA Technical Reports Server (NTRS)

Bauer, M. E. (Principal Investigator); Hixson, M. M.; Jobusch, C. D.

1981-01-01

Several levels of obtaining both area and yield estimates of corn and soybeans in Iowa were considered: county, refined strata, refined/split strata, crop reporting district, and state. Using the CCEA model form and smoothed weather data, regression coefficients at each level were derived to compute yield and its variance. Variances were also computed with stratum level. The variance of the yield estimates was largest at the state and smallest at the county level for both crops. The refined strata had somewhat larger variances than those associated with the refined/split strata and CRD. For production estimates, the difference in standard deviations among levels was not large for corn, but for soybeans the standard deviation at the state level was more than 50% greater than for the other levels. The refined strata had the smallest standard deviations. The county level was not considered in evaluation of production estimates due to lack of county area variances.

The association between county political inclination and obesity: Results from the 2012 presidential election in the United States.

PubMed

Shin, Michael E; McCarthy, William J

2013-11-01

We examined whether stable, county-level, voter preferences were significantly associated with county-level obesity prevalence using data from the 2012 US Presidential election. County voting preference for the 2012 Republican Party presidential candidate was used as a proxy for voter endorsement of personal responsibility approaches to reducing population obesity risk versus approaches featuring government-sponsored, multi-sectoral efforts like those recommended by the Centers for Disease Control Centers for Disease Control (CDC, 2009). Cartographic visualization and spatial analysis were used to evaluate the geographic clustering of obesity prevalence rates by county, and county-level support for the Republican Party candidate in the 2012 U.S. presidential election. The spatial analysis informed the spatial econometric approach employed to model the relationship between political preferences and other covariates with obesity prevalence. After controlling for poverty rate, percent African American and Latino populations, educational attainment, and spatial autocorrelation in the error term, we found that higher county-level obesity prevalence rates were associated with higher levels of support for the 2012 Republican Party presidential candidate. Future public health efforts to understand and reduce obesity risk may benefit from increased surveillance of this and similar linkages between political preferences and health risks. © 2013.

Records of water-level measurements in wells in the Oklahoma panhandle, 1971-72

USGS Publications Warehouse

Hart, Donald L.; Hoffman, George L.; Goemaat, Robert L.

1972-01-01

Investigations of the ground-water resources of the Oklahoma panhandle by the U.S. Geological Survey in cooperation with the Oklahoma Water Resources Board includes collection of water-level records; the systematic collection of these records began in 1937. Records of many shallow wells were compiled in 1937 and periodic measurements were made in a few wells until 1966. Owing to the heavy development of irrigation during the 1960's (fig. 1) an expanded network of observation wells established in Texas County in 1966 and in Beaver and Cimarron Counties in 1967; measurement of water levels have been made on an annual basis since those times.This report contains water-level records for the period 1971-72 and the water-level change for the period 1966-72 in Texas County, and for the period 1967-72 in Beaver and Cimarron Counties. At the present time (1972) the annual observation-well network includes 521 wells, of which 97 are in Beaver County, 203 are in Cimarron County, and 221 are in Texas County. These data provide an index to available ground-water supplies; they will be useful in planning and studying water resources development; and they will serve as a framework of data for the detailed hydrologic investigation now in progress in the panhandle.

The difference between the potentiometric surfaces of the Magothy Aquifer of September 1986 and September 1988 in southern Maryland

USGS Publications Warehouse

Mack, Frederick K.; Andreasen, David C.; Curtin, Stephen E.; Wheeler, Judith C.

1990-01-01

A map was prepared that shows the net change in the potentiometric surface of the Magothy aquifer (in the Cretaceous Magothy Formation) in southern Maryland from the fall of 1986 to the fall of 1988. The map, based on water level measurements from 79 observation wells, shows that during the 2 year period the potentiometric surface declined less than 5 ft in most of the northern part of the study area and more than 10 ft in a 4-sq-mi area in northern Charles County. Net water-level rises of as much as 2 ft were measured in central Charles County. (USGS)

Credit BG. Interior view of the building displays temporary wooden ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Credit BG. Interior view of the building displays temporary wooden building construction, pump, and water piping arrangements. The well is currently used as an observation post for changes in ground water levels - Edwards Air Force Base, North Base, Well No. 2, East of Second Street, Boron, Kern County, CA

Income inequality and child maltreatment in the United States.

PubMed

Eckenrode, John; Smith, Elliott G; McCarthy, Margaret E; Dineen, Michael

2014-03-01

To examine the relation between county-level income inequality and rates of child maltreatment. Data on substantiated reports of child abuse and neglect from 2005 to 2009 were obtained from the National Child Abuse and Neglect Data System. County-level data on income inequality and children in poverty were obtained from the American Community Survey. Data for additional control variables were obtained from the American Community Survey and the Health Resources and Services Administration Area Resource File. The Gini coefficient was used as the measure of income inequality. Generalized additive models were estimated to explore linear and nonlinear relations among income inequality, poverty, and child maltreatment. In all models, state was included as a fixed effect to control for state-level differences in victim rates. Considerable variation in income inequality and child maltreatment rates was found across the 3142 US counties. Income inequality, as well as child poverty rate, was positively and significantly correlated with child maltreatment rates at the county level. Controlling for child poverty, demographic and economic control variables, and state-level variation in maltreatment rates, there was a significant linear effect of inequality on child maltreatment rates (P < .0001). This effect was stronger for counties with moderate to high levels of child poverty. Higher income inequality across US counties was significantly associated with higher county-level rates of child maltreatment. The findings contribute to the growing literature linking greater income inequality to a range of poor health and well-being outcomes in infants and children.

Estimating Demand for and Supply of Pediatric Preventive Dental Care for Children and Identifying Dental Care Shortage Areas, Georgia, 2015.

PubMed

Cao, Shanshan; Gentili, Monica; Griffin, Paul M; Griffin, Susan O; Harati, Pravara; Johnson, Ben; Serban, Nicoleta; Tomar, Scott

Demand for dental care is expected to outpace supply through 2025. The objectives of this study were to determine the extent of pediatric dental care shortages in Georgia and to develop a general method for estimation that can be applied to other states. We estimated supply and demand for pediatric preventive dental care for the 159 counties in Georgia in 2015. We compared pediatric preventive dental care shortage areas (where demand exceeded twice the supply) designated by our methods with dental health professional shortage areas designated by the Health Resources & Services Administration. We estimated caries risk from a multivariate analysis of National Health and Nutrition Examination Survey data and national census data. We estimated county-level demand based on the time needed to perform preventive dental care services and the proportion of time that dentists spend on pediatric preventive dental care services from the Medical Expenditure Panel Survey. Pediatric preventive dental care supply exceeded demand in Georgia in 75 counties: the average annual county-level pediatric preventive dental care demand was 16 866 hours, and the supply was 32 969 hours. We identified 41 counties as pediatric dental care shortage areas, 14 of which had not been designated by the Health Resources & Services Administration. Age- and service-specific information on dental care shortage areas could result in more efficient provider staffing and geographic targeting.

County-level environmental quality and associations with cancer incidence

EPA Science Inventory

Cancer has been associated with individual ambient environmental exposures such as PM2.5 and arsenic. However, the role of the overall ambient environment is not well-understood. A novel county-level Environmental Quality Index (EQI) was developed for all U.S. counties (n=3,141)...

33 CFR 334.1127 - Naval Base Ventura County, Port Hueneme, California; restricted area.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 33 Navigation and Navigable Waters 3 2011-07-01 2011-07-01 false Naval Base Ventura County, Port....1127 Naval Base Ventura County, Port Hueneme, California; restricted area. (a) The area. The waters... area unless permission is obtained in advance from the Commanding Officer of Naval Base Ventura County...

33 CFR 334.1127 - Naval Base Ventura County, Port Hueneme, California; restricted area.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Naval Base Ventura County, Port....1127 Naval Base Ventura County, Port Hueneme, California; restricted area. (a) The area. The waters... area unless permission is obtained in advance from the Commanding Officer of Naval Base Ventura County...

33 CFR 334.1126 - Naval Base Ventura County, Point Mugu, California; restricted area.

Code of Federal Regulations, 2010 CFR

2010-07-01

... 33 Navigation and Navigable Waters 3 2010-07-01 2010-07-01 false Naval Base Ventura County, Point....1126 Naval Base Ventura County, Point Mugu, California; restricted area. (a) The area. The restricted area at Naval Base Ventura County Point Mugu incorporates its shoreline and connects the following...

33 CFR 334.1126 - Naval Base Ventura County, Point Mugu, California; restricted area.

Code of Federal Regulations, 2011 CFR

2011-07-01

... 33 Navigation and Navigable Waters 3 2011-07-01 2011-07-01 false Naval Base Ventura County, Point....1126 Naval Base Ventura County, Point Mugu, California; restricted area. (a) The area. The restricted area at Naval Base Ventura County Point Mugu incorporates its shoreline and connects the following...

VIEW OF MISSILE TUBE AT THE GROUND FLOOR LEVEL. VIEW ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

VIEW OF MISSILE TUBE AT THE GROUND FLOOR LEVEL. VIEW FACING SOUTH - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

VIEW OF MISSILE TUBE AT THE GROUND FLOOR LEVEL. VIEW ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

VIEW OF MISSILE TUBE AT THE GROUND FLOOR LEVEL. VIEW FACING EAST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

Level area surrounding Facility 314 showing the planted ring that ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Level area surrounding Facility 314 showing the planted ring that contains the radial ground wires, note the ring beneath the antenna circles is cleared of vegetation and covered with gravel, view facing southwest - U.S. Naval Base, Pearl Harbor, Naval Radio Station, AF/FRD-10 Circularly Disposed Antenna Array, Wahiawa, Honolulu County, HI

VIEW OF COMPRESSOR ROOM AT GROUND LEVEL SHOWING COMPRESSOR EQUIPMENT. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

VIEW OF COMPRESSOR ROOM AT GROUND LEVEL SHOWING COMPRESSOR EQUIPMENT. VIEW FACING SOUTH - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

1. TERMINAL ROOM, INTERIOR, SHOP LEVEL, SHOWING FIRE EXTINGUISHING SYSTEM ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

1. TERMINAL ROOM, INTERIOR, SHOP LEVEL, SHOWING FIRE EXTINGUISHING SYSTEM PIPES AND VALVES AT LEFT. Looking southeast from entrance to terminal room. - Edwards Air Force Base, Air Force Rocket Propulsion Laboratory, Test Stand 1-A Terminal Room, Test Area 1-120, north end of Jupiter Boulevard, Boron, Kern County, CA

7. CABLE RACK, MEZZANINE LEVEL, INTERIOR OF TEST STAND 1A. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

7. CABLE RACK, MEZZANINE LEVEL, INTERIOR OF TEST STAND 1A. Looking north from north end of the cable tunnel leading toward Control Center. - Edwards Air Force Base, Air Force Rocket Propulsion Laboratory, Test Stand 1-A Terminal Room, Test Area 1-120, north end of Jupiter Boulevard, Boron, Kern County, CA

[The carrier model of neurology in Hungary: a proposal for the solution until 2020].

PubMed

Bereczki, Dániel; Csiba, László; Komoly, Sámuel; Vécsei, László; Ajtay, András

2011-11-30

Based on our previous survey on the capacities of neurological services and on the predictable changes in the neurologist workforce in Hungary, we present a proposal for the organization of the structure of neurological services in the future. We discuss the diagnostic groups treated by neurologists, the neurological services and their progressive organization. Using the current capacities as baseline, we propose patient groups to be treated by neurologists in the future, and the levels of services. Based on the tendencies seen in the last years we suggest to consider to allocate acute stroke services exclusively to stroke units in neurological departments, and we identify a few other diagnostic groups where neurology should have a larger share in patient care. We define three levels for inpatient care: university departments, regional/county hospitals, city hospitals. Instead of minimum criteria we assign outpatient and inpatient standards that are functional from the economic point of view as well. University departments cover all areas of neurological services, have a function in graduate and postgraduate training, and on a regional basis they participate in professional quality assurance activities at the county and city hospital levels, and would have a more independent role in residency training. As far as patient care is concerned, the task of the regional/county hospitals would be similar to that of university departments - without the exclusively university functions. A general neurological service would be offered at the city hospital level - the representation of all subspecialties of neurology is not required. Neurorehabilitation would be organized at special units of neurological wards at the city hospital level, at independent neurorehabilitation wards in regional/county hospitals, and also as an outpatient service offered at the patients' home. The most significant organizational change would affect the outpatient neurological services. In addition to the special outpatient units associated with university departments and regional/county hospitals, the general neurological outpatient services would be organized as private practices, similarly to the current system of general practitioners, where the individual practices contract independently with the health insurance fund. Their task would be a general neurological service offered 30 hours per week, and also basic, screening neurophysiological and neurosonological examinations, with proper equipment and trained assistance. A transformation in residency training and a change in financing is needed for this plan to fulfill.

Digital computer processing of LANDSAT data for North Alabama. [Linestone County, Madison County, Jackson County, Marshall County, and DeKalb County

NASA Technical Reports Server (NTRS)

Bond, A. D.; Atkinson, R. J.; Lybanon, M.; Ramapriyan, H. K.

1977-01-01

Computer processing procedures and programs applied to Multispectral Scanner data from LANDSAT are described. The output product produced is a level 1 land use map in conformance with a Universal Transverse Mercator projection. The region studied was a five-county area in north Alabama.

Relationship between Job Satisfaction of County Extension Staff and the Level of Emotional Intelligence of County Extension Directors

ERIC Educational Resources Information Center

Villard, Judith A.; Earnest, Garee W.

2006-01-01

This descriptive-correlational study used a census of Ohio State University Extension county directors and a random sample of county staff throughout the State of Ohio. Data were collected utilizing Bar-On's Emotional Intelligence Quotient instrument (county directors) and Warner's job satisfaction instrument (county staff). The study examined the…

A First Estimation of County-Based Green Water Availability and Its Implications for Agriculture and Bioenergy Production in the United States

DOE PAGES

Xu, Hui; Wu, May

2018-02-02

Green water is vital for the terrestrial ecosystem, but water resource assessment often focuses on blue water. In this study, we estimated green water availability for major crops (i.e., corn, soybean, and wheat) and all other users(e.g., forest, grassland, and ecosystem services) at the county level in the United States. We estimated green water resources from effective rain(ER) using three different methods: Smith, U.S. Department of Agriculture-Soil Conservation Service (USDA-SCS), and the NHD plus V2 dataset. The analysis illustrates that, if green water meets all crop water demands, the fraction of green water resources available to all other users variesmore » significantly across regions, from the Northern Plains (0.71) to the Southeast (0.98). At the county level, this fraction varies from 0.23 to 1.0. Green water resources estimated using the three different ER methods present diverse spatiotemporal distribution patterns across regions, which could affect green water availability estimates. The water availability index for green water (WAI_R) was measured taking into account crop water demand and green water resources aggregated at the county level. Beyond these parameters, WAI_R also depends on the precipitation pattern, crop type and spatially differentiated regions. In addition, seasonal analysis indicated that WAI_R is sensitive to the temporal boundary of the analysis.« less

A First Estimation of County-Based Green Water Availability and Its Implications for Agriculture and Bioenergy Production in the United States

DOE Office of Scientific and Technical Information (OSTI.GOV)

Xu, Hui; Wu, May

Green water is vital for the terrestrial ecosystem, but water resource assessment often focuses on blue water. In this study, we estimated green water availability for major crops (i.e., corn, soybean, and wheat) and all other users(e.g., forest, grassland, and ecosystem services) at the county level in the United States. We estimated green water resources from effective rain(ER) using three different methods: Smith, U.S. Department of Agriculture-Soil Conservation Service (USDA-SCS), and the NHD plus V2 dataset. The analysis illustrates that, if green water meets all crop water demands, the fraction of green water resources available to all other users variesmore » significantly across regions, from the Northern Plains (0.71) to the Southeast (0.98). At the county level, this fraction varies from 0.23 to 1.0. Green water resources estimated using the three different ER methods present diverse spatiotemporal distribution patterns across regions, which could affect green water availability estimates. The water availability index for green water (WAI_R) was measured taking into account crop water demand and green water resources aggregated at the county level. Beyond these parameters, WAI_R also depends on the precipitation pattern, crop type and spatially differentiated regions. In addition, seasonal analysis indicated that WAI_R is sensitive to the temporal boundary of the analysis.« less

Disaster preparation in kidney transplant recipients: a questionnaire-based cohort study from a large United States transplant center
.

PubMed

Sharief, Shimi; Freitas, Daniel; Adey, Deborah; Wiley, James

2018-04-01

Few quantitative assessments have assessed disaster preparation in kidney transplant patients. This is a survey-based assessment of disaster preparedness of 200 patients at the University of California San Francisco, USA. Patients answered questionnaires assessing their level of preparedness as well as barriers to preparation. Preparedness was scored based on response to 7 questions. Univariate analyses compared participant characteristics extracted from the medical chart against three tertiles of preparedness: low (scores 0 - 2), medium (scores 3 - 4), and high (scores 5 - 7). California counties were coded and mapped by average preparedness scores. Only 30% of patients were highly prepared for disasters. Participants were prepared with available medication for 2 weeks (78.5%) and least prepared in having a medical ID bracelet (13%). Significant minorities of patients (40% of patients or more) were unprepared with lists of medications, important phone numbers and disaster kits. Preparedness was not associated with demographic and clinical characteristics. Monterey County was the most prepared of the 31 California counties sampled (score of 4.25 out of 7). All patients should be educated regarding disaster preparation. County and medical services should collaborate to address specialized populations in general preparedness planning.
.

A data-driven allocation tool for in-kind resources distributed by a state health department.

PubMed

Peterson, Cora; Kegler, Scott R; Parker, Wende R; Sullivan, David

2016-10-02

The objective of this study was to leverage a state health department's operational data to allocate in-kind resources (children's car seats) to counties, with the proposition that need-based allocation could ultimately improve public health outcomes. This study used a retrospective analysis of administrative data on car seats distributed to counties statewide by the Georgia Department of Public Health and development of a need-based allocation tool (presented as interactive supplemental digital content, adaptable to other types of in-kind public health resources) that relies on current county-level injury and sociodemographic data. Car seat allocation using public health data and a need-based formula resulted in substantially different recommended allocations to individual counties compared to historic distribution. Results indicate that making an in-kind public health resource like car seats universally available results in a less equitable distribution of that resource compared to deliberate allocation according to public health need. Public health agencies can use local data to allocate in-kind resources consistent with health objectives; that is, in a manner offering the greatest potential health impact. Future analysis can determine whether the change to a more equitable allocation of resources is also more efficient, resulting in measurably improved public health outcomes.

Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?

NASA Astrophysics Data System (ADS)

Tamayao, M. M.; Blackhurst, M. F.; Matthews, H. S.

2014-10-01

Recent sustainability research has focused on urban systems given their high share of environmental impacts and potential for centralized impact mitigation. Recent research emphasizes descriptive statistics from place-based case studies to argue for policy action. This limits the potential for general insights and decision support. Here, we implement generalized linear and multiple linear regression analyses to obtain more robust insights on the relationship between urbanization and greenhouse gas (GHG) emissions in the US We used consistently derived county-level scope 1 and scope 2 GHG inventories for our response variable while predictor variables included dummy-coded variables for county geographic type (central, outlying, and nonmetropolitan), median household income, population density, and climate indices (heating degree days (HDD) and cooling degree days (CDD)). We find that there is not enough statistical evidence indicating per capita scope 1 and 2 emissions differ by geographic type, ceteris paribus. These results are robust for different assumed electricity emissions factors. We do find statistically significant differences in per capita emissions by sector for different county types, with transportation and residential emissions highest in nonmetropolitan (rural) counties, transportation emissions lowest in central counties, and commercial sector emissions highest in central counties. These results indicate the importance of regional land use and transportation dynamics when planning local emissions mitigation measures.

The association between health literacy and preventable hospitalizations in Missouri: implications in an era of reform.

PubMed

Cimasi, Robert J; Sharamitaro, Anne R; Seiler, Rachel L

2013-01-01

To evaluate the association between health literacy and preventable hospitalizations on a population level in Missouri, and the extent to which differing levels of health literacy are associated with county preventable hospitalization rates and associated charges. Secondary data from the 2008 Missouri Information for Community Assessment and Missouri Health Literacy Mapping Tool was used to determine health literacy and preventable hospitalization rates for the 114 counties and city of St. Louis comprising Missouri. Using correlation analysis, simple hierarchical regression models and nonparametric analysis, we investigated whether lower health literacy rates were associated with increased levels of preventable hospitalizations and charges, by county. Health literacy was found to be inversely associated with preventable hospitalization rates on a population level, accounting for 21 percent of the variation in preventable hospitalization rates. Preventable hospitalization rates significantly differed for counties with the highest and lowest health literacy levels. Lower levels of health literacy are significantly associated with increased rates of preventable hospitalizations and charges in a population-level analysis of Missouri counties. Additional research is needed to quantify the effects of successful community health literacy interventions.

Sex ratio at birth and war in Croatia (1991-1995).

PubMed

Polasek, O; Kolcic, I; Kolaric, B; Rudan, I

2005-09-01

We have investigated sex ratio at birth (expressed as the proportion of males) in Croatia before, during and after the war (1991-1995). Data for each of 21 counties in Croatia (861 516 births) were collected and pooled into two groups: the first, consisting of the counties unaffected by the war, and the second, comprising the counties affected by war events. Odds ratios of being born as a male were calculated, with being born in a county exposed to war defined as the risk factor. No significant deviations from the expected ratio of 0.514 were found in pre-war, wartime or post-war period at the national level. The ratio was 0.515 during the pre-war and wartime periods, and 0.514 in the post-war period. Comparison of the ratios in the three periods in both affected and unaffected counties revealed no significant increase in the sex ratio. The only significant increase in the sex ratio was registered in two counties unaffected by the warfare. This study indicates that warfare did not cause a detectable increase of the sex ratio at birth in Croatia, in contrast to what might have been predicted based on earlier reports in the literature.

Spanish-language community-based mental health treatment programs, policy-required language-assistance programming, and mental health treatment access among Spanish-speaking clients.

PubMed

Snowden, Lonnie R; McClellan, Sean R

2013-09-01

We investigated the extent to which implementing language assistance programming through contracting with community-based organizations improved the accessibility of mental health care under Medi-Cal (California's Medicaid program) for Spanish-speaking persons with limited English proficiency, and whether it reduced language-based treatment access disparities. Using a time series nonequivalent control group design, we studied county-level penetration of language assistance programming over 10 years (1997-2006) for Spanish-speaking persons with limited English proficiency covered under Medi-Cal. We used linear regression with county fixed effects to control for ongoing trends and other influences. When county mental health plans contracted with community-based organizations, those implementing language assistance programming increased penetration rates of Spanish-language mental health services under Medi-Cal more than other plans (0.28 percentage points, a 25% increase on average; P < .05). However, the increase was insufficient to significantly reduce language-related disparities. Mental health treatment programs operated by community-based organizations may have moderately improved access after implementing required language assistance programming, but the programming did not reduce entrenched disparities in the accessibility of mental health services.

Spanish-Language Community-Based Mental Health Treatment Programs, Policy-Required Language-Assistance Programming, and Mental Health Treatment Access Among Spanish-Speaking Clients

PubMed Central

McClellan, Sean R.

2013-01-01

Objectives. We investigated the extent to which implementing language assistance programming through contracting with community-based organizations improved the accessibility of mental health care under Medi-Cal (California’s Medicaid program) for Spanish-speaking persons with limited English proficiency, and whether it reduced language-based treatment access disparities. Methods. Using a time series nonequivalent control group design, we studied county-level penetration of language assistance programming over 10 years (1997–2006) for Spanish-speaking persons with limited English proficiency covered under Medi-Cal. We used linear regression with county fixed effects to control for ongoing trends and other influences. Results. When county mental health plans contracted with community-based organizations, those implementing language assistance programming increased penetration rates of Spanish-language mental health services under Medi-Cal more than other plans (0.28 percentage points, a 25% increase on average; P < .05). However, the increase was insufficient to significantly reduce language-related disparities. Conclusions. Mental health treatment programs operated by community-based organizations may have moderately improved access after implementing required language assistance programming, but the programming did not reduce entrenched disparities in the accessibility of mental health services. PMID:23865663

Spatial analysis of county-based gonorrhoea incidence in mainland China, from 2004 to 2009.

PubMed

Yin, Fei; Feng, Zijian; Li, Xiaosong

2012-07-01

Gonorrhoea is one of the most common sexually transmissible infections in mainland China. Effective spatial monitoring of gonorrhoea incidence is important for successful implementation of control and prevention programs. The county-level gonorrhoea incidence rates for all of mainland China was monitored through examining spatial patterns. County-level data on gonorrhoea cases between 2004 and 2009 were obtained from the China Information System for Disease Control and Prevention. Bayesian smoothing and exploratory spatial data analysis (ESDA) methods were used to characterise the spatial distribution pattern of gonorrhoea cases. During the 6-year study period, the average annual gonorrhoea incidence was 12.41 cases per 100000 people. Using empirical Bayes smoothed rates, the local Moran test identified one significant single-centre cluster and two significant multi-centre clusters of high gonorrhoea risk (all P-values <0.01). Bayesian smoothing and ESDA methods can assist public health officials in using gonorrhoea surveillance data to identify high risk areas. Allocating more resources to such areas could effectively reduce gonorrhoea incidence.

Reduced Lung Cancer Mortality With Lower Atmospheric Pressure.

PubMed

Merrill, Ray M; Frutos, Aaron

2018-01-01

Research has shown that higher altitude is associated with lower risk of lung cancer and improved survival among patients. The current study assessed the influence of county-level atmospheric pressure (a measure reflecting both altitude and temperature) on age-adjusted lung cancer mortality rates in the contiguous United States, with 2 forms of spatial regression. Ordinary least squares regression and geographically weighted regression models were used to evaluate the impact of climate and other selected variables on lung cancer mortality, based on 2974 counties. Atmospheric pressure was significantly positively associated with lung cancer mortality, after controlling for sunlight, precipitation, PM2.5 (µg/m 3 ), current smoker, and other selected variables. Positive county-level β coefficient estimates ( P < .05) for atmospheric pressure were observed throughout the United States, higher in the eastern half of the country. The spatial regression models showed that atmospheric pressure is positively associated with age-adjusted lung cancer mortality rates, after controlling for other selected variables.

Land use inventory of Salt Lake County, Utah from color infrared aerial photography 1982

NASA Technical Reports Server (NTRS)

Price, K. P.; Willie, R. D.; Wheeler, D. J.; Ridd, M. K.

1983-01-01

The preparation of land use maps of Salt Lake County, Utah from high altitude color infrared photography is described. The primary purpose of the maps is to aid in the assessment of the effects of urban development on the agricultural land base and water resources. The first stage of map production was to determine the categories of land use/land cover and the mapping unit detail. The highest level of interpretive detail was given to the land use categories found in the agricultural or urbanized portions of the county; these areas are of primary interest with regard to the consumptive use of water from surface streams and wells. A slightly lower level of mapping detail was given to wetland environments; areas to which water is not purposely diverted by man but which have a high consumptive rate of water use. Photos were interpreted on the basis of color, tone, texture, and pattern, together with features of the topographic, hydrologic, and ecological context.

Tri-county pilot study. [Texas

NASA Technical Reports Server (NTRS)

Reeves, C. A. (Principal Investigator); Austin, T. W.; Kerber, A. G.

1976-01-01

The author has identified the following significant results. An area inventory was performed for three southeast Texas counties (Montgomery, Walker, and San Jacinto) totaling 0.65 million hectares. The inventory was performed using a two level hierarchy. Level 1 was divided into forestland, rangeland, and other land. Forestland was separated into Level 2 categories: pine, hardwood, and mixed; rangeland was not separated further. Results consisted of area statistics for each county and for the entire study site for pine, hardwood, mixed, rangeland, and other land. Color coded county classification maps were produced for the May data set, and procedures were developed and tested.

EnviroAtlas - Manure application to agricultural lands from confined animal feeding operations by 12-digit HUC for the Conterminous United States, 2006

EPA Pesticide Factsheets

This EnviroAtlas dataset contains data on the mean livestock manure application to cultivated crop and hay/pasture lands by 12-digit Hydrologic Unit (HUC) in 2006. Livestock manure inputs to cultivated crop and hay/pasture lands were estimated using county-level estimates of recoverable animal manure from confined feeding operations compiled for 2007. Recoverable manure is defined as manure that is collected, stored, and available for land application from confined feeding operations. County-scale data on livestock populations -- needed to calculate manure inputs -- were only available for the year 2007 from the USDA Census of Agriculture (http://www.agcensus.usda.gov/index.php). We acquired county-level data describing total farm-level inputs (kg N/yr) of recoverable manure to individual counties in 2007 from the International Plant Nutrition Institute (IPNI) Nutrient Geographic Information System (NuGIS; http://www.ipni.net/nugis). These data were converted to per area rates (kg N/ha/yr) of manure N inputs by dividing the total N input by the land area (ha) of combined cultivated crop and hay/pasture (agricultural) lands within a county as determined from county-level summarization of the 2006 NLCD. We distributed county-specific, per area N inputs rates to cultivated crop and hay/pasture lands (30 x 30 m pixels) within the corresponding county. Manure data described here represent an average input to a typical agricultural land type within a county, i.e., the

Estimating Soil Organic Carbon Stocks and Spatial Patterns with Statistical and GIS-Based Methods

PubMed Central

Zhi, Junjun; Jing, Changwei; Lin, Shengpan; Zhang, Cao; Liu, Qiankun; DeGloria, Stephen D.; Wu, Jiaping

2014-01-01

Accurately quantifying soil organic carbon (SOC) is considered fundamental to studying soil quality, modeling the global carbon cycle, and assessing global climate change. This study evaluated the uncertainties caused by up-scaling of soil properties from the county scale to the provincial scale and from lower-level classification of Soil Species to Soil Group, using four methods: the mean, median, Soil Profile Statistics (SPS), and pedological professional knowledge based (PKB) methods. For the SPS method, SOC stock is calculated at the county scale by multiplying the mean SOC density value of each soil type in a county by its corresponding area. For the mean or median method, SOC density value of each soil type is calculated using provincial arithmetic mean or median. For the PKB method, SOC density value of each soil type is calculated at the county scale considering soil parent materials and spatial locations of all soil profiles. A newly constructed 1∶50,000 soil survey geographic database of Zhejiang Province, China, was used for evaluation. Results indicated that with soil classification levels up-scaling from Soil Species to Soil Group, the variation of estimated SOC stocks among different soil classification levels was obviously lower than that among different methods. The difference in the estimated SOC stocks among the four methods was lowest at the Soil Species level. The differences in SOC stocks among the mean, median, and PKB methods for different Soil Groups resulted from the differences in the procedure of aggregating soil profile properties to represent the attributes of one soil type. Compared with the other three estimation methods (i.e., the SPS, mean and median methods), the PKB method holds significant promise for characterizing spatial differences in SOC distribution because spatial locations of all soil profiles are considered during the aggregation procedure. PMID:24840890

The Association Between County-Level Injury Rates and Racial Segregation Revisited: A Multilevel Analysis

PubMed Central

Sauber-Schatz, Erin K.; Barbour, Kamil E.; Li, Wei

2009-01-01

Objectives. We investigated whether within-county racial segregation was associated with increased odds of violent injury beyond individual risk. Methods. In a cross-sectional study, data on 75 310 patients admitted with an injury to Pennsylvania hospitals from 1997 to 1999 were analyzed to determine the association between county-level racial segregation and violent injury. We used multilevel analysis to adjust for individual- and county-level factors. Principal components analysis allowed us to separate the effect of segregation from other county-level variables. Results. After adjustment, greater segregation was associated with increased odds of violent injury among Whites (odds ratio [OR] = 1.20; 95% confidence interval [CI] = 1.11, 1.30) and non-Whites (OR = 1.45; 95% CI = 1.28, 1.64). The association was stronger for non-Whites. Conclusions. Our results suggested that living in a county with high levels of racial segregation was associated with increased odds of violence not explained by an individual's own risk. These findings represent an important step in understanding the nature of observed links between race and violence. Future work should develop prevention strategies that simultaneously target community and individual risks. PMID:19150902

Child maltreatment in rural southern counties: Another perspective on race, poverty and child welfare.

PubMed

Smith, Brenda D; Kay, Emma Sophia; Pressley, Tracy D

2018-06-01

Building on research that has identified community characteristics associated with child maltreatment, this study investigates the adequacy and equity of the child welfare response at the county level. The study focuses on states in the U.S. south with demographic characteristics that make it possible to disentangle county racial composition from county rurality. County-level child maltreatment data were merged with data from the U.S. Census and other publicly-available sources for the 354 counties in four southern states. Results from multiple regression models indicated that, despite a greater preponderance of risk factors typically associated with child maltreatment, rural, majority African-American counties had lower rates of reported and substantiated child maltreatment compared to other southern counties. Cross-sectional results were consistent across three years: 2012, 2013, and 2014. The findings suggest that children and families in rural, majority African-American counties in the South may not be receiving adequate or equitable responses from the formal child welfare system. Copyright © 2018 Elsevier Ltd. All rights reserved.

Potentiometric surface of the middle Potomac Aquifer in Virginia 1993

USGS Publications Warehouse

Hammond, E.C.; McFarland, E.R.; Focazio, M.J.

1994-01-01

Ground-water level measurements from 50 wells in the middle Potomac aquifer in the Coastal Plain Physiographic Province of Virginia in 1993 were used to prepare a map of the potentiometric surface of the aquifer. The map shows the potentiometric surface of the middle Potomac aquifer sharply declining eastward from nearly 100 feet above sear level near the western boundary of the aquifer to 20 feet below sea level, and continues declining gradually toward the Chesapeake Bay and Atlantic Ocean. A cone of depression is apparent around well fields in Franklin, Virginia. The potentiometric surface also appears to be affected by pumping in the area of Henrico County and Hanover County, Virginia. The highest ground-water-level measurement was 89 feet above sea level in Chesterfield County near Richmond, and the lowest ground-water-level measurement was 179 feet below sea level in southeastern Isle of Wight County, Virginia.

Environmental Assessment Addressing the 301st Fighter Wing Managed Airspace, Naval Air Station Joint Reserve Base, Fort Worth, Texas

DTIC Science & Technology

2009-05-01

Salle County McMullen County Terrell County Blanco County Comal County Texas Oklahoma Dallas- Ft. Worth San Antonio Austin Tulsa Oklahoma City Abilene...County Young County Crockett County Glasscock County Irion County Midland County Brown County Reagan County Sterling County Terrell County Upton...7909 Karl May Drive Waco, TX 76708 Margaret Wood Brown County Clerk 200 South Broadway Brownwood, TX 76801 Jo Ann Hale Coleman County

Perceptions of Global Warming Among the Poorest Counties in the Southeastern United States.

PubMed

Kearney, Gregory D; Bell, Ronny A

2018-03-07

The geographic position and high level of poverty in the southeastern United States are significant risk factors that contribute to the region's high vulnerability to climate change. The goal of this study was to evaluate beliefs and perceptions of global warming among those living in poverty in the poorest counties in the southeastern United States. Results from this project may be used to support public health efforts to increase climate-related messaging to vulnerable and underserved communities. This was an ecological study that analyzed public opinion poll estimates from previously gathered national level survey data (2016). Responses to 5 questions related to beliefs, attitudes, and perceptions of global warming were evaluated. Counties below the national average poverty level (13.5%) were identified among 11 southeastern US states (Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Michigan, North Carolina, South Carolina, Tennessee, Virginia). Student t tests were used to compare public perceptions of global warming among the poorest urban and rural counties with national-level public opinion estimates. Overall, counties below the national poverty level in the southeastern US were significantly less likely to believe that global warming was happening compared with national-level estimates. The poorest rural counties were less likely to believe that global warming was happening than the poorest urban counties. Health care providers and public health leaders at regional and local levels are in ideal positions to raise awareness and advocate the health implications of climate change to decision makers for the benefit of helping underserved communities mitigate and adequately adapt to climate-related threats.

A Longitudinal Evaluation of the Positive Action Program in a Low-Income, Racially Diverse, Rural County: Effects on Self-Esteem, School Hassles, Aggression, and Internalizing Symptoms.

PubMed

Guo, Shenyang; Wu, Qi; Smokowski, Paul R; Bacallao, Martica; Evans, Caroline B R; Cotter, Katie L

2015-12-01

Positive Action is a school-based program that aims to decrease problem behaviors (e.g., violence, substance use) and increase positive behaviors (e.g., school engagement, academic achievement). Although a number of studies have shown that Positive Action successfully achieves these goals, few studies have evaluated the program's effectiveness in rural schools. Given that rural youth are at an increased risk for risky behaviors (e.g., violence, substance use), this is a critical gap in the existing Positive Action research base. The current study assesses the impact of Positive Action on change rates of self-esteem, school hassles, aggression, and internalizing symptoms in a group (N = 1246, 52% female) of ethnically/racially diverse (27% White, 23% African American, 12% mixed race/other, 8% Latino, 30% as American Indian) middle school youth (age range 9-20) located in two violent, low-income rural counties in North Carolina. One county engaged in Positive Action over the 3-year study window while the other county did not. Following multiple imputation and propensity score analysis, 4 two-level hierarchical linear models were run using each of the outcome measures as dependent variables. The results indicate that the program generates statistically significant beneficial effects for youth from the intervention county on self-esteem scores and school hassles scores. Although the program generates beneficial effects for intervention youth on the change in aggression scores, the finding is not statistically significant. The finding on the change in internalizing scores shows a non-significant detrimental effect: the youth from the comparison county have lower internalizing scores than those from the intervention county. Implications are discussed.

Starting school healthy and ready to learn: using social indicators to improve school readiness in Los Angeles County.

PubMed

Wold, Cheryl; Nicholas, Will

2007-10-01

School readiness is an important public health outcome, determined by a set of interdependent health and developmental trajectories and influenced by a child's family, school, and community environments. The same factors that influence school readiness also influence educational success and health throughout life. A California cigarette tax ballot initiative (Proposition 10) created new resources for children aged 0 to 5 years and their families statewide through county-level First 5 commissions, including First 5 LA in Los Angeles County. An opportunity to define and promote school readiness indicators was facilitated by collaborative relationships with a strong emphasis on data among First 5 LA, the Children's Planning Council, and the Los Angeles County Public Health Department, and other child-serving organizations. A workgroup developed school readiness goals and indicators based on recommendations of the National Education Goals Panel and five key domains of child well-being: 1) good health, 2) safety and survival, 3) economic well-being, 4) social and emotional well-being, and 5) education/workforce readiness. The Los Angeles County Board of Supervisors and First 5 LA Commission adopted the school readiness indicators. First 5 LA incorporated the indicators into the results-based accountability framework for its strategic plan and developed a community-oriented report designed to educate and spur school readiness-oriented action. The Los Angeles County Board of Supervisors approved a countywide consensus-building plan designed to engage key stakeholders in the use of the indicators for planning, evaluation, and community-building activities. School readiness indicators in Los Angeles County represent an important step forward for public health practice, namely, the successful blending of an expanded role for assessment with the ecological model.

Suicide Trends Among and Within Urbanization Levels by Sex, Race/Ethnicity, Age Group, and Mechanism of Death — United States, 2001–2015

PubMed Central

Crosby, Alex E.; Jack, Shane P. D.; Haileyesus, Tadesse; Kresnow-Sedacca, Marcie-jo

2017-01-01

Problem/Condition Suicide is a public health problem and one of the top 10 leading causes of death in the United States. Substantial geographic variations in suicide rates exist, with suicides in rural areas occurring at much higher rates than those occurring in more urban areas. Understanding demographic trends and mechanisms of death among and within urbanization levels is important to developing and targeting future prevention efforts. Reporting Period 2001–2015. Description of System Mortality data from the National Vital Statistics System (NVSS) include demographic, geographic, and cause of death information derived from death certificates filed in the 50 states and the District of Columbia. NVSS was used to identify suicide deaths, defined by International Classification of Diseases, 10th Revision (ICD-10) underlying cause of death codes X60–X84, Y87.0, and U03. This report examines annual county level trends in suicide rates during 2001–2015 among and within urbanization levels by select demographics and mechanisms of death. Counties were collapsed into three urbanization levels using the 2006 National Center for Health Statistics classification scheme. Results Suicide rates increased across the three urbanization levels, with higher rates in nonmetropolitan/rural counties than in medium/small or large metropolitan counties. Each urbanization level experienced substantial annual rate changes at different times during the study period. Across urbanization levels, suicide rates were consistently highest for men and non-Hispanic American Indian/Alaska Natives compared with rates for women and other racial/ethnic groups; however, rates were highest for non-Hispanic whites in more metropolitan counties. Trends indicate that suicide rates for non-Hispanic blacks were lowest in nonmetropolitan/rural counties and highest in more urban counties. Increases in suicide rates occurred for all age groups across urbanization levels, with the highest rates for persons aged 35–64 years. For mechanism of death, greater increases in rates of suicide by firearms and hanging/suffocation occurred across all urbanization levels; rates of suicide by firearms in nonmetropolitan/rural counties were almost two times that of rates in larger metropolitan counties. Interpretation Suicide rates in nonmetropolitan/rural counties are consistently higher than suicide rates in metropolitan counties. These trends also are observed by sex, race/ethnicity, age group, and mechanism of death. Public Health Action Interventions to prevent suicides should be ongoing, particularly in rural areas. Comprehensive suicide prevention efforts might include leveraging protective factors and providing innovative prevention strategies that increase access to health care and mental health care in rural communities. In addition, distribution of socioeconomic factors varies in different communities and needs to be better understood in the context of suicide prevention. PMID:28981481

Suicide Trends Among and Within Urbanization Levels by Sex, Race/Ethnicity, Age Group, and Mechanism of Death - United States, 2001-2015.

PubMed

Ivey-Stephenson, Asha Z; Crosby, Alex E; Jack, Shane P D; Haileyesus, Tadesse; Kresnow-Sedacca, Marcie-Jo

2017-10-06

Suicide is a public health problem and one of the top 10 leading causes of death in the United States. Substantial geographic variations in suicide rates exist, with suicides in rural areas occurring at much higher rates than those occurring in more urban areas. Understanding demographic trends and mechanisms of death among and within urbanization levels is important to developing and targeting future prevention efforts. 2001-2015. Mortality data from the National Vital Statistics System (NVSS) include demographic, geographic, and cause of death information derived from death certificates filed in the 50 states and the District of Columbia. NVSS was used to identify suicide deaths, defined by International Classification of Diseases, 10th Revision (ICD-10) underlying cause of death codes X60-X84, Y87.0, and U03. This report examines annual county level trends in suicide rates during 2001-2015 among and within urbanization levels by select demographics and mechanisms of death. Counties were collapsed into three urbanization levels using the 2006 National Center for Health Statistics classification scheme. Suicide rates increased across the three urbanization levels, with higher rates in nonmetropolitan/rural counties than in medium/small or large metropolitan counties. Each urbanization level experienced substantial annual rate changes at different times during the study period. Across urbanization levels, suicide rates were consistently highest for men and non-Hispanic American Indian/Alaska Natives compared with rates for women and other racial/ethnic groups; however, rates were highest for non-Hispanic whites in more metropolitan counties. Trends indicate that suicide rates for non-Hispanic blacks were lowest in nonmetropolitan/rural counties and highest in more urban counties. Increases in suicide rates occurred for all age groups across urbanization levels, with the highest rates for persons aged 35-64 years. For mechanism of death, greater increases in rates of suicide by firearms and hanging/suffocation occurred across all urbanization levels; rates of suicide by firearms in nonmetropolitan/rural counties were almost two times that of rates in larger metropolitan counties. Suicide rates in nonmetropolitan/rural counties are consistently higher than suicide rates in metropolitan counties. These trends also are observed by sex, race/ethnicity, age group, and mechanism of death. Interventions to prevent suicides should be ongoing, particularly in rural areas. Comprehensive suicide prevention efforts might include leveraging protective factors and providing innovative prevention strategies that increase access to health care and mental health care in rural communities. In addition, distribution of socioeconomic factors varies in different communities and needs to be better understood in the context of suicide prevention.

Water-quality, well-construction, and ground-water level data for an investigation of radionuclides in ground water, Hickman and Maury counties, Tennessee

USGS Publications Warehouse

Hileman, G.E.

1990-01-01

Water quality, well construction, and groundwater level data were collected for an investigation of radionuclides in groundwater in Maury and Hickman Counties, Tennessee. Seventeen wells and 3 springs were sampled in Hickman County, and 20 wells were sampled in Maury County. Samples from each site were analyzed for radionuclides, common and trace inorganic ions, indicators of redox conditions, selected nutrients, total organic carbon, and selected physical characteristics. Well-construction data were obtained to help determine the source of the water. Where possible, groundwater level measurements were made for each well sampled. Samples were collected from May 1989 through mid-August 1989. Data are presented in tables. Maps of each county show the location of the sites sampled. (USGS)

Changing the paradigm: planning for ambulatory care expansion in Los Angeles County using a community-based and evidence-based model.

PubMed

Fielding, J E; Lamirault, I; Nolan, B; Bobrowsky, J

2000-07-01

In 1998, Los Angeles County's Department of Health Services (DHS) embarked on a planning process to expand ambulatory care services for the county's 2.7 million uninsured and otherwise medically indigent residents. This planning process was novel in two ways. First, it used a quantitative, needs-based approach for resource allocation to ensure an equitable distribution of safety-net ambulatory care services across the county. Second, it used a new community-based planning paradigm that took into consideration the specific needs of each of the county's eight geographic service planning areas. Together, the evidence-based approach to planning and the community-based decision-making will ensure that DHS can more equitably provide for the needs of Los Angeles County's medically indigent residents.

Clientele Differences of a Cooperative Extension Program as Related to Base of Organization.

ERIC Educational Resources Information Center

Gross, John G.

Conducted in Nebraska and Missouri, this study compared the clientele of an area specialist dairy testing program with the clientele of generalized county based programs to determine significant differences and their implications. Comparisons were made by age, educational level, size of farm business, farm ownership, participation in short courses…

Methodology for the Model-based Small Area Estimates of Cancer Risk Factors and Screening Behaviors - Small Area Estimates

Cancer.gov

This model-based approach uses data from both the Behavioral Risk Factor Surveillance System (BRFSS) and the National Health Interview Survey (NHIS) to produce estimates of the prevalence rates of cancer risk factors and screening behaviors at the state, health service area, and county levels.

Increasing Your Productivity with Web-Based Surveys

ERIC Educational Resources Information Center

Wissmann, Mary; Stone, Brittney; Schuster, Ellen

2012-01-01

Web-based survey tools such as Survey Monkey can be used in many ways to increase the efficiency and effectiveness of Extension professionals. This article describes how Survey Monkey has been used at the state and county levels to collect community and internal staff information for the purposes of program planning, administration, evaluation and…

Potentiometric Surface of the Upper Floridan Aquifer, West-Central Florida, May 2006

USGS Publications Warehouse

Ortiz, A.G.

2007-01-01

Introduction Hydrologic Conditions in West-Central Florida The Floridan aquifer system consists of the Upper and Lower Floridan aquifers separated by the middle confining unit. The middle confining unit and the Lower Floridan aquifer in west-central Florida generally contain highly mineralized water. The water-bearing units containing fresh water are herein referred to as the Upper Floridan aquifer. The Upper Floridan aquifer is the principal source of water in the Southwest Florida Water Management District and is used for major public supply, domestic use, irrigation, and brackish water desalination in coastal communities (Southwest Florida Water Management District, 2000). This map report shows the potentiometric surface of the Upper Floridan aquifer measured in May 2006. The potentiometric surface is an imaginary surface connecting points of equal altitude to which water will rise in tightly-cased wells that tap a confined aquifer system (Lohman, 1979). This map represents water-level conditions near the end of the dry season, when ground-water levels usually are at an annual low and withdrawals for agricultural use typically are high. The cumulative average rainfall of 50.23 inches for west-central Florida (from June 2005 through May 2006) was 2.82 inches below the historical cumulative average of 53.05 inches (Southwest Florida Water Management District, 2006). Historical cumulative averages are calculated from regional rainfall summary reports (1915 to most recent complete calendar year) and are updated monthly by the Southwest Florida Water Management District. This report, prepared by the U.S. Geological Survey in cooperation with the Southwest Florida Water Management District, is part of a semi-annual series of Upper Floridan aquifer potentiometric-surface map reports for west-central Florida. Potentiometric-surface maps have been prepared for January 1964, May 1969, May 1971, May 1973, May 1974, and for each May and September since 1975. Water-level data are collected in May and September each year to show the approximate annual low and high water-level conditions, respectively. Most of the water-level data for this map were collected by the U.S. Geological Survey during the period May 15-19, 2006. Supplemental water-level data were collected by other agencies and companies. A corresponding potentiometric-surface map was prepared for areas east and north of the Southwest Florida Water Management District boundary by the U.S. Geological Survey office in Altamonte Springs, Florida (Kinnaman, 2006). Most water-level measurements were made during a 5-day period; therefore, measurements do not represent a 'snapshot' of conditions at a specific time, nor do they necessarily coincide with the seasonal low water-level condition. Water-Level Changes Water levels in about 95 percent of the wells measured in May 2006 were lower than the May 2005 water levels (Ortiz and Blanchard, 2006). May 2006 water levels in 403 wells ranged from about 26 feet below to about 6 feet above May 2005 water levels (fig. 1). Significant water level declines occurred in eastern Manatee County, southwestern Polk County, southeastern Hillsborough County, and in all of Hardee County. The largest water level declines occurred in southwestern Hardee County. The largest water level rises occurred in south-central Pasco County, northeastern Levy County, northwestern Marion County, and along the gulf coast from Pasco County to Citrus County (fig. 1). Water levels in about 96 percent of the wells measured in May 2006 were lower than the September 2005 water levels (Ortiz, 2006). May 2006 water levels in 397 wells ranged from about 31 feet below to 3 feet above the September 2005 water levels. The largest water level decline was in west-central Hardee County and the largest rise in water levels was in south-central Pasco County.

9. ENGINE TEST CELL BUILDING INTERIOR. CELL ACCESS ELEVATOR, CELLS ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

9. ENGINE TEST CELL BUILDING INTERIOR. CELL ACCESS ELEVATOR, CELLS 2 AND 4, BASEMENT LEVEL. LOOKING SOUTHEAST. - Fairchild Air Force Base, Engine Test Cell Building, Near intersection of Arnold Street & George Avenue, Spokane, Spokane County, WA

Household survey analysis of the impact of comprehensive strategies to improve the expanded programme on immunisation at the county level in western China, 2006–2010

PubMed Central

Zhou, Yuqing; Xing, Yi; Liang, Xiaofeng; Yue, Chenyan; Zhu, Xu; Hipgrave, David

2016-01-01

Objective To evaluate interventions to improve routine vaccination coverage and caregiver knowledge in China's remote west, where routine immunisation is relatively weak. Design Prospective pre–post (2006–2010) evaluation in project counties; retrospective comparison based on 2004 administrative data at baseline and surveyed post-intervention (2010) data in selected non-project counties. Setting Four project counties and one non-project county in each of four provinces. Participants 3390 children in project counties at baseline, and 3299 in project and 830 in non-project counties post-intervention; and 3279 caregivers at baseline, and 3389 in project and 830 in non-project counties post-intervention. Intervention Multicomponent inexpensive knowledge-strengthening and service-strengthening and innovative, multisectoral engagement. Data collection Standard 30-cluster household surveys of vaccine coverage and caregiver interviews pre-intervention and post-intervention in each project county. Similar surveys in one non-project county selected by local authorities in each province post-intervention. Administrative data on vaccination coverage in non-project counties at baseline. Primary outcome measures Changes in vaccine coverage between baseline and project completion (2010); comparative caregiver knowledge in all counties in 2010. Analysis Crude (χ2) analysis of changes and differences in vaccination coverage and related knowledge. Multiple logistic regression to assess associations with timely coverage. Results Timely coverage of four routine vaccines increased by 21% (p<0.001) and hepatitis B (HepB) birth dose by 35% (p<0.001) over baseline in project counties. Comparison with non-project counties revealed secular improvement in most provinces, except new vaccine coverage was mostly higher in project counties. Ethnicity, province, birthplace, vaccination site, dual-parental out-migration and parental knowledge had significant associations with coverage. Knowledge increased for all variables but one in project counties (highest p<0.05) and was substantially higher than in non-project counties (p<0.01). Conclusions Comprehensive but inexpensive strategies improved vaccination coverage and caretaker knowledge in western China. Establishing multisectoral leadership, involving the education sector and including immunisation in public-sector performance standards, are affordable and effective interventions. PMID:26966053

18. Readiness Crew Building interior, lower level corridor. This corridor ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

18. Readiness Crew Building interior, lower level corridor. This corridor is located in the southwest side of the building and runs from southeast to northwest; view looking northwest from the exit door at the southeast end. Lyon - Whiteman Air Force Base, Bomber Alert Facility S-6, 1300 Alert Road, Knob Noster, Johnson County, MO

THIRD LEVEL OF MISSILE LAB (SECOND FLOOR OF BUILDING) SHOWING ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

THIRD LEVEL OF MISSILE LAB (SECOND FLOOR OF BUILDING) SHOWING MISSILE TUBE. VIEW FACING SOUTH - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

VIEW OF EQUIPMENT AT THE GROUND FLOOR LEVEL OF THE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

VIEW OF EQUIPMENT AT THE GROUND FLOOR LEVEL OF THE MISSILE TUBE ROOM. VIEW FACING SOUTH - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

OVERVIEW OF DIVE TRAINER SIMULATOR AT SECOND FLOOR LEVEL SHOWING ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

OVERVIEW OF DIVE TRAINER SIMULATOR AT SECOND FLOOR LEVEL SHOWING CONTROL CENTER CAB. VIEW FACING WEST/NORTHWEST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

DETAIL VIEW ON THE MAIN ASSEMBLY LEVEL OF A LADDER ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

DETAIL VIEW ON THE MAIN ASSEMBLY LEVEL OF A LADDER TO THE CATWALK AT COLUMN LINE AA-28 SHOWING VERTICAL MECHANICAL DUCT, RETURN AIR FLOOR GRILLE, STEEL INDUSTRIAL SASH WINDOWS AND CROSS BRACING OF SOUTH WALL. - Offutt Air Force Base, Glenn L. Martin-Nebraska Bomber Plant, Building D, Peacekeeper Drive, Bellevue, Sarpy County, NE

[Effects of soil data and map scale on assessment of total phosphorus storage in upland soils.

PubMed

Li, Heng Rong; Zhang, Li Ming; Li, Xiao di; Yu, Dong Sheng; Shi, Xue Zheng; Xing, Shi He; Chen, Han Yue

2016-06-01

Accurate assessment of total phosphorus storage in farmland soils is of great significance to sustainable agricultural and non-point source pollution control. However, previous studies haven't considered the estimation errors from mapping scales and various databases with different sources of soil profile data. In this study, a total of 393×10 4 hm 2 of upland in the 29 counties (or cities) of North Jiangsu was cited as a case for study. Analysis was performed of how the four sources of soil profile data, namely, "Soils of County", "Soils of Prefecture", "Soils of Province" and "Soils of China", and the six scales, i.e. 1:50000, 1:250000, 1:500000, 1:1000000, 1:4000000 and1:10000000, used in the 24 soil databases established for the four soil journals, affected assessment of soil total phosphorus. Compared with the most detailed 1:50000 soil database established with 983 upland soil profiles, relative deviation of the estimates of soil total phosphorus density (STPD) and soil total phosphorus storage (STPS) from the other soil databases varied from 4.8% to 48.9% and from 1.6% to 48.4%, respectively. The estimated STPD and STPS based on the 1:50000 database of "Soils of County" and most of the estimates based on the databases of each scale in "Soils of County" and "Soils of Prefecture" were different, with the significance levels of P＜0.001 or P＜0.05. Extremely significant differences (P＜0.001) existed between the estimates based on the 1:50000 database of "Soils of County" and the estimates based on the databases of each scale in "Soils of Province" and "Soils of China". This study demonstrated the significance of appropriate soil data sources and appropriate mapping scales in estimating STPS.

Low-level arsenic exposure from drinking water is associated with prostate cancer in Iowa.

PubMed

Roh, Taehyun; Lynch, Charles F; Weyer, Peter; Wang, Kai; Kelly, Kevin M; Ludewig, Gabriele

2017-11-01

Inorganic arsenic is a toxic naturally occurring element in soil and water in many regions of the US including the Midwest. Prostate cancer is the second most common type of cancer in men in Iowa, surpassed only by non-melanotic skin cancer. Epidemiology studies have evaluated arsenic exposure from drinking water and prostate cancer, but most have focused on high-level exposures outside the US. As drinking water from groundwater sources is a major source of arsenic exposure, we conducted an ecologic study to evaluate prostate cancer and arsenic in drinking water from public water sources and private wells in Iowa, where exposure levels are low, but duration of exposure can be long. Arsenic data from public water systems were obtained from the Iowa Safe Drinking Water Information System for the years 1994-2003 and for private wells from two Iowa Well Water Studies, the Iowa Community Private Well Study (ICPWS, 2002-2003) and Iowa Statewide Rural Well Water Survey Phase 2 (SWIRL2, 2006-2008) that provided data for 87 Iowa counties. Prostate cancer incidence data from 2009 to 2013 for Iowa were obtained from Surveillance, Epidemiology and End Results' SEER*Stat software. County averages of water arsenic levels varied from 1.08 to 18.6 ppb, with three counties above the current 10 ppb limit. Based on the tertiles of arsenic levels, counties were divided into three groups: low (1.08-2.06 ppb), medium (2.07-2.98 ppb), and high (2.99-18.6 ppb). Spatial Poisson regression modeling was conducted to estimate the risk ratios (RR) of prostate cancer by tertiles of arsenic level at a county level, adjusted for demographic and risk factors. The RR of prostate cancer were 1.23 (95% CI, 1.16-1.30) and 1.28 (95% CI, 1.21-1.35) in the medium and high groups, respectively, compared to the low group after adjusting for risk factors. The RR increased to 1.36 (95% CI, 1.28-1.45) in the high group when analyses were restricted to aggressive prostate cancers (Gleason score ≥ 7). This study shows a significant dose-dependent association between low-level arsenic exposure and prostate cancer, and if this result is replicated in future individual-level studies, may suggest that 10 ppb is not protective for human health. Copyright © 2017 Elsevier Inc. All rights reserved.

Hydrogeology and the distribution of salinity in the Floridan Aquifer system, southwestern Florida

USGS Publications Warehouse

Reese, R.S.

2000-01-01

In most of the study area, the Floridan aquifer system can be divided into a brackish-water zone, a salinity transition zone, and a saline-water zone. The brackish-water zone contains water with a dissolved-solids concentration of less than 10,000 milligrams per liter. The saline-water zone has a dissolved-solids concentration of at least 35,000 milligrams per liter and a salinity similar to that of seawater. The salinity transition zone that separates these two zones is usually 150 feet or less in thickness. The altitude of the base of the brackish-water zone was mapped primarily using geophysical logs; it ranges from as shallow as 565 feet below sea level along the coast to almost 2,200 feet below sea level inland. This mapping indicated that the boundary represents a salinity interface, the depth of which is controlled by head in the brackish-water zone. Chloride concentrations in the upper part of the brackish-water zone range from 400 to 4,000 milligrams per liter. A large area of relatively low salinity in north-central Collier County and to the northwest, as defined by a 1,200-milligram-per-liter chloride-concentration line, coincides with a high area on the basal contact of the Hawthorn Group. As this contact dips away from this high area to central Hendry and southwestern Collier Counties, chloride concentration increases to 2,000 milligrams per liter or greater. However, the increase in salinity in these areas occurs only in the basal Hawthorn unit or Suwannee Limestone, but not in deeper units. In central Hendry County, the increase occurs only in the basal Hawthorn unit in an area where the unit is well developed and thick. These areas of higher salinity could have resulted from the influx of seawater from southwestern Collier County into zones of higher permeability in the Upper Floridan aquifer during high sea-level stands. The influx may only have occurred in structurally low areas and may have experienced incomplete flushing subsequently by the modern freshwater flow system. In an area in north-central Collier County, the altitude of the base of the brackish-water zone is anomalously deep given the position of this area relative to the coast. In this area, the base extends as deep as 2,090 feet below sea level, and the salinity transition zone is not present or is poorly defined. The origin of this anomalous area is interpreted to be related to the development of a unit containing thick dolomite and evaporite beds high in the middle confining unit of the Floridan aquifer system. The top of this dolomite-evaporite unit, which probably has very low permeability, occurs at the base of the brackish-water zone in this area. The axis of a high area mapped at the top of the unit trends to the northwest from central Collier County into north-central Lee County. This axis parallels and lies just to the west of the anomalous area, and it could have acted as an impermeable sill, preventing saline water from moving in laterally from the coast to the southwest and up from the Lower Floridan aquifer. Locating a Floridan aquifer system well field in or near this anomalous area could be optimal because of the lack of a salinity interface at depth.

County-level estimates of nitrogen and phosphorus fertilizer use in the United States, 1945 to 1985

USGS Publications Warehouse

Alexander, Richard B.; Smith, Richard A.

1990-01-01

Estimates of nitrogen and phosphorus fertilizer use were made for counties in the United States for the period 1945 to 1985. County fertilizer use estimates were obtained through the disaggregation of state-level fertilizer use in proportion to the amount of state fertilized acreage reported to exist in counties. Numerical values of nitrogen and phosphorus fertilizer use by county are not presented in the text of this report because of the size of the data file, but are available in machine-readable form upon request. Graphical summaries of national, state, and county nitrogen and phosphorus fertilizer use are presented to briefly describe the spatial and temporal variability that exist in the data.

Availability of ground water in York County, Nebraska; Contributions to the Hydrology of the United States

USGS Publications Warehouse

Keech, Charles Franklin; Dreeszen, V.H.; Emery, Philip A.

1967-01-01

York County, an area of 575 square miles, is situated on an upland plain in southeast Nebraska. Although tributaries of the Big Blue River have eroded valleys into this plain, much of the original surface is still intact and is characterized by broad shallow undrained depressions. The economy is based almost wholly on agriculture, and corn is the major crop. More than 111,000 acres of cropland was irrigated in 1964 with water pumped from 1,240 wells. The upland plain is underlain to depths of 100-450 feet by unconsolidated deposits of Quaternary age. The upper part of this depositional sequence consists largely of wind-deposited clayey silt, and the lower part consists of stream-deposited sand and gravel. In part of the county, the sequence includes some glacial till also. The unconsolidated Quaternary deposits mantle the eroded surface of marine strata of Cretaceous age. The lower unconsolidated rocks of Quaternary age are saturated and constitute a highly productive aquifer throughout much of the county. Replenishment to this aquifer, derived principally from precipitation, is believed to average about 1.5 inches per year. As the quantity of ground water pumped per year greatly exceeds the average annual quantity of recharge, most of the. water used for irrigation is from storage. Consequently, water levels have been trending downward. A comparison of 1964 water levels in wells with water levels measured in 1953 shows that the water table declined more than 10 feet beneath 42 square miles. The ground water is of the calcium bicarbonate type, and, though hard, is chemically suitable for irrigation use on most soils in the county.

Evaluation on the efficiencies of county-level Centers for Disease Control and Prevention in China: results from a national survey.

PubMed

Li, Chengyue; Sun, Mei; Shen, Jay J; Cochran, Christopher R; Li, Xiaojiao; Hao, Mo

2016-09-01

The Chinese government has greatly increased funding for disease control and prevention since the 2003 Severe Acute Respiration Syndrome crisis, but it is also concerned whether these increased resources have been used efficiently to improve public health services. We aimed to assess the efficiency of county-level Centers for Disease Control and Prevention (CDCs) of China and to identify strategies for optimising their performance. A total of 446 county-level CDCs were selected based on systematic sampling throughout China. The data envelopment analysis framework was used to calculate the efficiency score of sampled CDCs in 2010. The Charnes, Cooper and Rhodes (CCR) model was applied to calculate the overall and scale efficiency, and the Banker, Charnes and Cooper (BCC) model was used to assess technical efficiency. Models included three inputs and seven outputs. A projection analysis was conducted to identify the difference between projection value and actual value for inputs and outputs. The average overall efficiency score of CDCs was 0.317, and the average technical efficiency score was 0.442 and 88.3% with decreasing returns to scale. Projection analysis indicated that all seven categories of outputs were underproduced. CDCs in the eastern region tended to perform better than CDCs in the middle and the western region. Most county-level CDCs in China were operated inefficiently. Emphasis should be put on increasing staff and general operating expenses through current governmental funding, upgrading healthcare providers' competencies and enhancing the standardisation of operational management, so that CDCs could utilise their resources more efficiently. © 2016 John Wiley & Sons Ltd.

Home Health Care and Discharged Hospice Care Patients: United States, 2000 and 2007

MedlinePlus

... The area may include surrounding counties if strong economic ties exist between the counties, based on commuting ... may include surrounding counties if there are strong economic ties between the counties, based on commuting patterns. ...

Population-Adjusted Street Connectivity, Urbanicity and Risk of Obesity in the U.S

PubMed Central

Wang, Fahui; Wen, Ming; Xu, Yanqing

2013-01-01

Street connectivity, defined as the number of (3-way or more) intersections per area unit, is an important index of built environments as a proxy for walkability in a neighborhood. This paper examines its geographic variations across the rural-urban continuum (urbanicity), major racial-ethnic groups and various poverty levels. The population-adjusted street connectivity index is proposed as a better measure than the regular index for a large area such as county due to likely concentration of population in limited space within the large area. Based on the data from the Behavioral Risk Factor Surveillance System (BRFSS), this paper uses multilevel modeling to analyze its association with physical activity and obesity while controlling for various individual and county-level variables. Analysis of data subsets indicates that the influences of individual and county-level variables on obesity risk vary across areas of different urbanization levels. The positive influence of street connectivity on obesity control is limited to the more but not the mostly urbanized areas. This demonstrates the value of obesogenic environment research in different geographic settings, helps us reconcile and synthesize some seemingly contradictory results reported in different studies, and also promotes that effective policies need to be highly sensitive to the diversity of demographic groups and geographically adaptable. PMID:23667278

Factors Related to Medicaid Payment Acceptance at Outpatient Substance Abuse Treatment Programs

PubMed Central

Terry-McElrath, Yvonne M; Chriqui, Jamie F; McBride, Duane C

2011-01-01

Objective To examine factors associated with Medicaid acceptance for substance abuse (SA) services by outpatient SA treatment programs. Data Sources Secondary analysis of 2003–2006 National Survey of Substance Abuse Treatment Services data combined with state Medicaid policy and usage measures and other publicly available data. Study Design We used cross-sectional analyses, including state fixed effects, to assess relationships between SA treatment program Medicaid acceptance and (1) program-level factors, (2) county-level sociodemographics and treatment program density, and (3) state-level population characteristics, SA treatment-related factors, and Medicaid policy and usage. Data Extraction Methods State Medicaid policy data were compiled based on reviews of state Medicaid-related statutes/regulations and Medicaid plans. Other data were publicly available. Principal Findings Medicaid acceptance was significantly higher for programs: (a) that were publicly funded and in states with Medicaid policy allowing SA treatment coverage; (b) with accreditation/licensure and nonprofit/government ownership, as well as mental- and general-health focused programs; and (c) in counties with lower household income. Conclusions SA treatment program Medicaid acceptance related to program-, county, and state-level factors. The data suggest the importance of state policy and licensure/accreditation requirements in increasing SA program Medicaid access. PMID:21105870

Records of water-level measurements in wells in the Oklahoma panhandle, 1966-70

USGS Publications Warehouse

Hart, Donald L.

1972-01-01

Investigations of the ground-water resources of the Oklahoma panhandle by the U.S. Geological Survey in cooperation with the Oklahoma Water Resources Board includes collection of water-level records; the systematic collection of these records began in 1937. Records of many shallow wells were compiled in 1937 and periodic measurements were made in a few wells until 1966. Owing to the heavy development of irrigation during the 1960's (fig. 1) an expanded network of observation wells established in Texas County in 1966 and in Beaver and Cimarron Counties in 1967; measurement of water levels have been made on an annual basis since those times. This report contains water-level records for the period 1966-70 in Texas County, and for the period 1967-70 in Beaver and Cimarron Counties. At the present time (1971) the annual observation-well network includes 528 wells, of which 98 are in Beaver County, 211 are in Cimarron County, and 219 are in Texas County. These data provide an index to available ground-water supplies; they will be useful in planning and studying water resources development; and they will serve as a framework of data for the detailed hydrologic investigation now in progress in the panhandle. (available as photostat copy only)

Cancer screening delivery in persistent poverty rural counties.

PubMed

Bennett, Kevin J; Pumkam, Chaiporn; Bellinger, Jessica D; Probst, Janice C

2011-10-01

Rural populations are diagnosed with cancer at different rate and stages than nonrural populations, and race/ethnicity as well as the area-level income exacerbates the differences. The purpose of this analysis was to explore cancer screening rates across persistent poverty rural counties, with emphasis on nonwhite populations. The 2008 Behavioral Risk Factor Surveillance System was used, combined with data from the Area Resource File (analytic n = 309 937 unweighted, 196 344 347 weighted). Unadjusted analysis estimated screening rates for breast, cervical, and colorectal cancer. Multivariate analysis estimated the odds of screening, controlling for individual and county-level effects. Rural residents, particularly those in persistent poverty counties, were less likely to be screened than urban residents. More African Americans in persistent poverty rural counties reported not having mammography screening (18.3%) compared to 15.9% of urban African Americans. Hispanics had low screening rates across all service types. Multivariate analysis continued to find disparities in screening rates, after controlling for individual and county-level factors. African Americans in persistent poverty rural counties were more likely to be screened for both breast cancer (odds ratio, 1.44; 95% confidence interval, 1.12-1.85) and cervical cancer (1.46; 1.07-1.99) when compared with urban whites. Disparities in cancer screening rates exist across not only race/ethnicity but also county type. These disparities cannot be fully explained by either individual or county-level effects. Programs have been successful in improving screening rates for African American women and should be expanded to target other vulnerable women as well as other services such as colorectal cancer screening.

The Impact of Location and Proximity on Consumers' Willingness to Pay for Green Electricity: The Case of West Virginia

NASA Astrophysics Data System (ADS)

Nkansah, Kofi

During the 2015 legislative session, West Virginia lawmakers passed a bill to repeal the Renewable and Alternative Energy Portfolio Standards Act of 2009 (ARPS). Legislators stated concerns about ARPS's impacts on coal industry related jobs in the state as the major factor driving this repeal. However, no comprehensive study on public acceptance, opinions, or willingness to pay (WTP) for renewable/and or alternative sources of electricity within West Virginia was used to inform this repeal decision. As the state of West Virginia struggles to find the right path to expand its renewable energy portfolio, public acceptance of renewable electricity is crucial to establishing a viable market for these forms of energy and also ensure the long-term sustainability of any RPS policy that may be enacted in the future. This study sought to assess consumers' preferences, attitudes and WTP for renewable and alternative electricity in West Virginia. The monetary values that consumers placed on proximity as an attribute of a renewable and alternative electricity generation source were also estimated. Two counties in West Virginia were selected as study areas based on the types of electricity generation facility that already exist in each county -one county with coal-fired power plants (Monongalia County) and another with both a coal-fired power plant and a wind farm (Grant County). A forced choice experiment survey was used with attributes that varied in source of energy (wind versus natural gas), proximity of the generation source relative to the respondent's residence (near, moderate or far) and an additional premium per month on the electric bill (varying from 1 to 15). Respondents were asked to choose between generating 10% of the electricity supplied to them from wind or natural gas. Random samples of 1500 residents from each county were sent surveys and response rates were 27.0% (Monongalia) and 35.3% (Grant). A Mixed logit econometric models were used to analyze consumer choices with utility models. WTP for energy source and proximity attribute levels were computed using parameter estimates from these utility models. Statistically different models were developed for each county. Results from the study showed that respondents in both counties had preferences for electricity generated from wind compared to natural gas. A majority of the sampled populations chose the wind option, 62.0% in Monongalia County and 60.0% in Grant County. The sampled populations in Monongalia and Grant Counties were willing to pay a weighted mean of 21.59 and 9.87 per month, respectively, for 10% of their electricity to be generated from wind over natural gas. Despite this large difference, county level means were not statistically different. On aggregate, a positive social benefit per year would be derived from generating 10% of electricity supplied to consumers in Monongalia County (2.5 million) and Grant County (186 thousand) from wind relative to natural gas. Similarly, the most social benefit would be derived from siting wind turbines at "far" locations from residents in both counties. Both county level sampled populations were willing to pay a higher premium to site wind turbines or a natural gas-fired power plant at the farthest location relative to the baseline location (near a respondent's current residence). Grant County respondents were willing to pay a slightly higher positive premium (mean of 11.71 per month) to site wind turbines at the farthest location than respondents in Monongalia County (mean of 10.14 per month). The mean WTP to site a natural gas-fired power plant at the farthest location in Monongalia County (13.06) and Grant County (13.47) were not statistically different from each other. Results from this study suggest that the decision for an outright repeal of the ARPS bill was flawed. Based on Monongalia and Grant County populations, there are social benefits derived from generating 10% of the electricity supplied to consumers in West Virginia from renewable and alternative energy sources, and wind is preferred to natural gas. This repeal implies there are few, if any, benefits. Given this repeal, I suggest that a voluntary green pricing program with a focus on wind energy serve as an alternative renewable energy policy in West Virginia. Under such a policy, consumers who are concerned about the environment and are willing to pay a positive premium for renewable electricity would be able to opt into the program. Premiums paid by participants of such a program can be used to increase the renewable energy share in West Virginia's energy portfolio.

History and hydrologic effects of ground water use in Kings, Queens, and western Nassau counties, Long Island, New York, 1800's through 1997

USGS Publications Warehouse

Cartwright, Richard A.

2002-01-01

Ground-water withdrawals from the aquifers underlying Kings and Queens Counties varied temporally and spatially during the 20th century and caused extreme changes in water levels. The resultant lowering of water levels during periods of heavy pumping caused saltwater intrusion in nearshore areas and the migration of contaminants from land surface into deep aquifers. The recovery of water levels in response to countywide curtailment of pumping has resulted in the flooding of underground structures. Combined withdrawals for public and industrial supply in Kings and Queens Counties were greatest during the 1930's--about 130 million gallons per day. During this period, a large cone of depression developed in the water table in Kings County; within this depression, water levels were about 45 feet lower than in 1903. All pumping for public supply was halted in Kings County in 1947, and in Jamaica (in Queens County) in 1974. Water levels in Kings County had recovered by 1974 and have remained similar to those of 1903 since then, except for minor localized drawdowns due to industrial-supply or dewatering withdrawals. A large cone of depression that had formed in southeastern Queens County before 1974 has now (1997) disappeared. The estimated combined withdrawal for public supply and industrial supply in Kings and Queens Counties in 1996 was only about 50 million gallons per day.The water-level recoveries in the water-table and confined aquifers generally have resulted in the dilution and dispersion of residual salty and nitrate-contaminated ground water. The majority of recently sampled wells indicate stable or decreasing chloride and nitrate concentrations in all aquifers since 1983. Organic contaminants remain in ground water in Kings, Queens, and Nassau Counties, however; the most commonly detected compounds in 1992-96 were tetrachloroethene, trichloroethene, chloroform, and total trihalomethanes. Water samples from monitoring wells in Kings County indicate a greater number of occurrences of these compounds in the upper glacial aquifer than in the Jameco-Magothy aquifer, whereas samples from public-supply wells in Queens County indicated a greater number of occurrences in the Jameco- Magothy aquifer than in the upper glacial aquifer. This distribution suggests that organic contaminants were not drawn into the deeper aquifers in Kings County before 1947, when their use was limited and deep withdrawals were greatest, and (or) that the longer period of waterlevel recovery in Kings County than in Queens has allowed greater degradation, dilution, and dispersion of any organic contaminants that might have entered the deep aquifers before the cessation of pumping in 1947.

Sonoma County Office of Education Computer Education Plan. County Level Plans.

ERIC Educational Resources Information Center

Malone, Greg

1986-01-01

This plan describes the educational computing and computer literacy program to be implemented by the schools in Sonoma County, California. Topics covered include the roles, responsibilities, and procedures of the county-wide computer committee; the goals of computer education in the county schools; the results of a needs assessment study; a 3-year…

Potentiometric Surface of the Aquia Aquifer in Southern Maryland, September 1999

USGS Publications Warehouse

Curtin, Stephen E.; Andreasen, David C.; Wheeler, Judith C.

2001-01-01

This report presents a map showing the potentiometric surface of the Aquia aquifer in the Aquia Formation of Paleocene age in Southern Maryland during September 1999. The map is based on water-level measurements in 85 wells. The potentiometric surface was above sea level near the northern boundary and outcrop area of the aquifer in a topographically high area of Anne Arundel County, and was below sea level in the remainder of the study area. The hydraulic gradient was directed southeastward toward an extensive cone of depression around well fields at Lexington Park and Solomons Island. Ground-water levels were more than 80 feet below sea level in a 100-square-mile area surrounding the deepest part of the cone of depression. A cone of depression formed in northern Calvert County due to pumpage at Chesapeake Beach and North Beach. The water level has declined to 43 feet below sea level in this area. The lowest measurement was 164 feet below sea level in a well near the center of the cone of depression at Lexington Park.

Ground-water levels in Huron County, Michigan, March 1993 through December 1994

USGS Publications Warehouse

Sweat, M.J.

1995-01-01

In 1990, the U.S. Geological Survey completed a study of the hydrogeology of Huron County, Michigan. In 1993, Huron County and the USGS entered into an agreement to continue collecting water levels at selected wells throughout Huron County. As part of the agreement, the USGS provided training and instrumentation for County personnel to measure, on a quarterly basis, the depth to water below the land surface in selected wells. The program included the operation of continuous water-level recorders installed on four wells, in Bingham, Fairhaven, Grant and Lake townships (figure 1). County personnel make quarterly water-level measurements on 22 other wells (figure 1). Once each year, County personnel are accompanied by USGS personnel who provide a quality assurance/quality control check of all measurements being made.Two of the wells with recorders are completed in the Marshall aquifer (H5r and H25Ar), one is completed in the glacio-fluvial aquifer (H2r), and one is completed in the Saginaw aquifer (H9r). Hydrographs are presented for each of the four wells with water level recorders (figures 3, 4, 6, and 8). Hydrographs of quarterly water-level measurements and range of water levels during the period October, 1988 to January, 1990 (the original project period) are shown in figures 5, 7, 9, and 10 and quarterly water levels are presented in tables 1 through 4.Figure 2 shows the monthly-mean water-level elevation of Lake Huron, as measured at Harbor Beach and Essexville, and monthly-mean precipitation as recorded at Bad Axe, for the period October, 1988 through December, 1994. In general, Lake Huron water-level elevation were at or near record lows in late 1989, and near record highs in late 1993. Precipitation throughout the period was generally within the normal range.

A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011-2014.

PubMed

Ross, Cody T

2015-01-01

A geographically-resolved, multi-level Bayesian model is used to analyze the data presented in the U.S. Police-Shooting Database (USPSD) in order to investigate the extent of racial bias in the shooting of American civilians by police officers in recent years. In contrast to previous work that relied on the FBI's Supplemental Homicide Reports that were constructed from self-reported cases of police-involved homicide, this data set is less likely to be biased by police reporting practices. County-specific relative risk outcomes of being shot by police are estimated as a function of the interaction of: 1) whether suspects/civilians were armed or unarmed, and 2) the race/ethnicity of the suspects/civilians. The results provide evidence of a significant bias in the killing of unarmed black Americans relative to unarmed white Americans, in that the probability of being {black, unarmed, and shot by police} is about 3.49 times the probability of being {white, unarmed, and shot by police} on average. Furthermore, the results of multi-level modeling show that there exists significant heterogeneity across counties in the extent of racial bias in police shootings, with some counties showing relative risk ratios of 20 to 1 or more. Finally, analysis of police shooting data as a function of county-level predictors suggests that racial bias in police shootings is most likely to emerge in police departments in larger metropolitan counties with low median incomes and a sizable portion of black residents, especially when there is high financial inequality in that county. There is no relationship between county-level racial bias in police shootings and crime rates (even race-specific crime rates), meaning that the racial bias observed in police shootings in this data set is not explainable as a response to local-level crime rates.

A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011–2014

PubMed Central

Ross, Cody T.

2015-01-01

A geographically-resolved, multi-level Bayesian model is used to analyze the data presented in the U.S. Police-Shooting Database (USPSD) in order to investigate the extent of racial bias in the shooting of American civilians by police officers in recent years. In contrast to previous work that relied on the FBI’s Supplemental Homicide Reports that were constructed from self-reported cases of police-involved homicide, this data set is less likely to be biased by police reporting practices. County-specific relative risk outcomes of being shot by police are estimated as a function of the interaction of: 1) whether suspects/civilians were armed or unarmed, and 2) the race/ethnicity of the suspects/civilians. The results provide evidence of a significant bias in the killing of unarmed black Americans relative to unarmed white Americans, in that the probability of being {black, unarmed, and shot by police} is about 3.49 times the probability of being {white, unarmed, and shot by police} on average. Furthermore, the results of multi-level modeling show that there exists significant heterogeneity across counties in the extent of racial bias in police shootings, with some counties showing relative risk ratios of 20 to 1 or more. Finally, analysis of police shooting data as a function of county-level predictors suggests that racial bias in police shootings is most likely to emerge in police departments in larger metropolitan counties with low median incomes and a sizable portion of black residents, especially when there is high financial inequality in that county. There is no relationship between county-level racial bias in police shootings and crime rates (even race-specific crime rates), meaning that the racial bias observed in police shootings in this data set is not explainable as a response to local-level crime rates. PMID:26540108

Redistributive effects of Swedish health care finance.

PubMed

Gerdtham, U G; Sundberg, G

1998-01-01

This paper investigates the redistributive effects of the Swedish health care financing system in 1980 and 1990 for four different financial sources: county council taxes, payroll taxes, direct payments and state grants. The redistributive effects are decomposed into vertical, horizontal and 'reranking' segments for each of the four financial sources. The data used are based on probability samples of the Swedish population, from the Level of Living Survey (LNU) from 1981 and 1991. The paper concludes that the Swedish health care financing system is weakly progressive, although direct payments are regressive. There is some horizontal inequity and 'reranking', which mainly comes from the county council taxes, since those tax rates vary for each county council. The implication is that, to some extent, people with equal incomes are treated unequally.

Addressing immunization registry population inflation in adolescent immunization rates.

PubMed

Robison, Steve G

2015-01-01

While U.S. adolescent immunization rates are available annually at national and state levels, finding pockets of need may require county or sub-county information. Immunization information systems (IISs) are one tool for assessing local immunization rates. However, the presence of IIS records dating back to early childhood and challenges in capturing mobility out of IIS areas typically leads to denominator inflation. We examined the feasibility of weighting adolescent immunization records by length of time since last report to produce more accurate county adolescent counts and immunization rates. We compared weighted and unweighted adolescent denominators from the Oregon ALERT IIS, along with county-level Census Bureau estimates, with school enrollment counts from Oregon's annual review of seventh-grade school immunization compliance for public and private schools. Adolescent immunization rates calculated using weighted data, for the state as a whole, were also checked against comparable National Immunization Survey (NIS) rates. Weighting individual records by the length of time since last activity substantially improved the fit of IIS data to county populations for adolescents. A nonlinear logarithmic (ogive) weight produced the best fit to the school count data of all examined estimates. Overall, the ogive weighted results matched NIS adolescent rates for Oregon. The problem of mobility-inflated counts of teenagers can be addressed by weighting individual records based on time since last immunization. Well-populated IISs can rely on their own data to produce adolescent immunization rates and find pockets of need.

15. VIEW OF ESCAPE TRAINING TANK, LOOKING EAST ACROSS MEZZANINE, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

15. VIEW OF ESCAPE TRAINING TANK, LOOKING EAST ACROSS MEZZANINE, SHOWING ENTRANCE TO SUBMARINE SECTION AT 110-FOOT LEVEL - U.S. Naval Submarine Base, New London Submarine Escape Training Tank, Albacore & Darter Roads, Groton, New London County, CT

Estimates of recharge to unconfined aquifers and leakage to confined aquifers in the seven-county metropolitan area of Minneapolis-St. Paul, Minnesota

USGS Publications Warehouse

Ruhl, James F.; Kanivetsky, Roman; Shmagin, Boris

2002-01-01

Recharge estimates, which generally varied within 10 in./yr for each of the methods, generally were largest based on the precipitation, ground-water level fluctuation, and age dating of shallow ground water methods, slightly smaller based on the streamflow-recession displacement method, and smallest based on the watershed characteristics method. Leakage, which was less than 1 in./yr, varied within 1 order of magnitude based on the ground-water level fluctuation method and as much as 4 orders of magnitude based on analyses of vertical-hydraulic gradients.

Services provided by community pharmacies in Wayne County, Michigan: a comparison by ZIP code characteristics.

PubMed

Erickson, Steven R; Workman, Paul

2014-01-01

To document the availability of selected pharmacy services and out-of-pocket cost of medication throughout a diverse county in Michigan and to assess possible associations between availability of services and price of medication and characteristics of residents of the ZIP codes in which the pharmacies were located. Cross-sectional telephone survey of pharmacies coupled with ZIP code-level census data. 503 pharmacies throughout the 63 ZIP codes of Wayne County, MI. The out-of-pocket cost for a 30 days' supply of levothyroxine 50 mcg and brand-name atorvastatin (Lipitor-Pfizer) 20 mg, availability of discount generic drug programs, home delivery of medications, hours of pharmacy operation, and availability of pharmacy-based immunization services. Census data aggregated at the ZIP code level included race, annual household income, age, and number of residents per pharmacy. The overall results per ZIP code showed that the average cost for levothyroxine was $10.01 ± $2.29 and $140.45 + $14.70 for Lipitor. Per ZIP code, the mean (± SD) percentages of pharmacies offering discount generic drug programs was 66.9% ± 15.0%; home delivery of medications was 44.5% ± 22.7%; and immunization for influenza was 46.7% ± 24.3% of pharmacies. The mean (± SD) hours of operation per pharmacy per ZIP code was 67.0 ± 25.2. ZIP codes with higher household income as well as higher percentage of residents being white had lower levothyroxine price, greater percentage of pharmacies offering discount generic drug programs, more hours of operation per week, and more pharmacy-based immunization services. The cost of Lipitor was not associated with any ZIP code characteristic. Disparities in the cost of generic levothyroxine, the availability of services such as discount generic drug programs, hours of operation, and pharmacy-based immunization services are evident based on race and household income within this diverse metropolitan county.

Where Are Socioeconomically Deprived Immigrants Located in Chile? A Spatial Analysis of Census Data Using an Index of Multiple Deprivation from the Last Three Decades (1992-2012).

PubMed

Vasquez, Andrea; Cabieses, Baltica; Tunstall, Helena

2016-01-01

Immigrants in Chile have diverse characteristics and include socioeconomically deprived populations. The location of socioeconomically deprived immigrants is important for the development of public policy intelligence at the local and national levels but their areas of residence have not been mapped in Chile. This study explored the spatial distribution of socioeconomic deprivation among immigrants in Chile, 1992-2012, and compared it to the total population. Areas with socioeconomically deprived populations were identified with a deprivation index which we developed modelled upon the Index of Multiple Deprivation (IMD) for England. Our IMD was based upon the indicators of unemployment, low educational level (primary) and disability from Census data at county level for the three decades 1992, 2002 and 2012, for 332, 339 and 343 counties respectively. We developed two versions of the IMD one based on disadvantage among the total population and another focused upon the circumstances of immigrants only. We generated a spatial representation of the IMD using GIS, for the overall IMD score and for each dimension of the index, separately. We also compared the immigrants´ IMD to the total population´s IMD using Pearson´s correlation test. Results showed that socioeconomically deprived immigrants tended to be concentrated in counties in the northern and central area of Chile, in particular within the Metropolitan Region of Santiago. These were the same counties where there was the greatest concentration of socioeconomic deprivation for the total population during the same time periods. Since 1992 there have been significant change in the location of the socioeconomically deprived populations within the Metropolitan Region of Santiago with the highest IMD scores for both the total population and immigrants becoming increasingly concentrated in the central and eastern counties of the Region. This is the first study analysing the spatial distribution of socioeconomic deprivation among international immigrants and the total population in a Latin American country. Findings could inform policy makers about location of areas of higher need of social protection in Chile, for both immigrants and the total resident population in the country.

Economic Impacts of Wind Turbine Development in U.S. Counties

DOE Office of Scientific and Technical Information (OSTI.GOV)

J., Brown; B., Hoen; E., Lantz

2011-07-25

The objective is to address the research question using post-project construction, county-level data, and econometric evaluation methods. Wind energy is expanding rapidly in the United States: Over the last 4 years, wind power has contributed approximately 35 percent of all new electric power capacity. Wind power plants are often developed in rural areas where local economic development impacts from the installation are projected, including land lease and property tax payments and employment growth during plant construction and operation. Wind energy represented 2.3 percent of the U.S. electricity supply in 2010, but studies show that penetrations of at least 20 percentmore » are feasible. Several studies have used input-output models to predict direct, indirect, and induced economic development impacts. These analyses have often been completed prior to project construction. Available studies have not yet investigated the economic development impacts of wind development at the county level using post-construction econometric evaluation methods. Analysis of county-level impacts is limited. However, previous county-level analyses have estimated operation-period employment at 0.2 to 0.6 jobs per megawatt (MW) of power installed and earnings at $9,000/MW to $50,000/MW. We find statistically significant evidence of positive impacts of wind development on county-level per capita income from the OLS and spatial lag models when they are applied to the full set of wind and non-wind counties. The total impact on annual per capita income of wind turbine development (measured in MW per capita) in the spatial lag model was $21,604 per MW. This estimate is within the range of values estimated in the literature using input-output models. OLS results for the wind-only counties and matched samples are similar in magnitude, but are not statistically significant at the 10-percent level. We find a statistically significant impact of wind development on employment in the OLS analysis for wind counties only, but not in the other models. Our estimates of employment impacts are not precise enough to assess the validity of employment impacts from input-output models applied in advance of wind energy project construction. The analysis provides empirical evidence of positive income effects at the county level from cumulative wind turbine development, consistent with the range of impacts estimated using input-output models. Employment impacts are less clear.« less

Temperature, ozone, and mortality in urban and non-urban counties in the northeastern United States.

PubMed

Madrigano, Jaime; Jack, Darby; Anderson, G Brooke; Bell, Michelle L; Kinney, Patrick L

2015-01-07

Most health effects studies of ozone and temperature have been performed in urban areas, due to the available monitoring data. We used observed and interpolated data to examine temperature, ozone, and mortality in 91 urban and non-urban counties. Ozone measurements were extracted from the Environmental Protection Agency's Air Quality System. Meteorological data were supplied by the National Center for Atmospheric Research. Observed data were spatially interpolated to county centroids. Daily internal-cause mortality counts were obtained from the National Center for Health Statistics (1988-1999). A two-stage Bayesian hierarchical model was used to estimate each county's increase in mortality risk from temperature and ozone. We examined county-level associations according to population density and compared urban (≥1,000 persons/mile(2)) to non-urban (<1,000 persons/mile(2)) counties. Finally, we examined county-level characteristics that could explain variation in associations by county. A 10 ppb increase in ozone was associated with a 0.45% increase in mortality (95% PI: 0.08, 0.83) in urban counties, while this same increase in ozone was associated with a 0.73% increase (95% PI: 0.19, 1.26) in non-urban counties. An increase in temperature from 70°F to 90°F (21.2°C 32.2°C) was associated with a 8.88% increase in mortality (95% PI: 7.38, 10.41) in urban counties and a 8.08% increase (95% PI: 6.16, 10.05) in non-urban counties. County characteristics, such as population density, percentage of families living in poverty, and percentage of elderly residents, partially explained the variation in county-level associations. While most prior studies of ozone and temperature have been performed in urban areas, the impacts in non-urban areas are significant, and, for ozone, potentially greater. The health risks of increasing temperature and air pollution brought on by climate change are not limited to urban areas.

Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS).

PubMed

Drewnowski, Adam; Aggarwal, Anju; Cook, Andrea; Stewart, Orion; Moudon, Anne Vernez

2016-02-01

Higher socioeconomic status (SES) has been linked with higher-quality diets. New GIS methods allow for geographic mapping of diet quality at a very granular level. To examine the geographic distribution of two measures of diet quality: Healthy Eating Index (HEI 2005 and HEI 2010) in relation to residential property values in Seattle-King County. The Seattle Obesity Study (SOS) collected data from a population-based sample of King County adults in 2008-09. Socio-demographic data were obtained by 20-min telephone survey. Dietary data were obtained from food frequency questionnaires (FFQs). Home addresses were geocoded to the tax parcel and residential property values were obtained from the King County tax assessor. Multivariable regression analyses using 1116 adults tested associations between SES variables and diet quality measured (HEI scores). Residential property values, education, and incomes were associated with higher HEI scores in bivariate analyses. Property values were not collinear with either education or income. In adjusted multivariable models, education and residential property were better associated with HEI, compared to than income. Mapping of HEI-2005 and HEI-2010 at the census block level illustrated the geographic distribution of diet quality across Seattle-King County. The use of residential property values, an objective measure of SES, allowed for the first visual exploration of diet quality at high spatial resolution: the census block level. Copyright © 2015 Elsevier Inc. All rights reserved.

Geographic disparities in Healthy Eating Index scores (HEI-2005 and 2010) by residential property values: Findings from Seattle Obesity Study (SOS)

PubMed Central

Drewnowski, Adam; Aggarwal, Anju; Cook, Andrea; Stewart, Orion; Vernez Moudon, Anne

2016-01-01

Background Higher socioeconomic status (SES) has been linked with higher-quality diets. New GIS methods allow for geographic mapping of diet quality at a very granular level. Objective To examine the geographic distribution of two measures of diet quality: Healthy Eating Index (HEI 2005 and HEI 2010) in relation to residential property values in Seattle-King County. Methods The Seattle Obesity Study (SOS) collected data from a population-based sample of King County adults in 2008–09. Socio-demographic data were obtained by 20-min telephone survey. Dietary data were obtained from food frequency questionnaires (FFQs). Home addresses were geocoded to the tax parcel and residential property values were obtained from the King County tax assessor. Multivariable regression analyses using 1,116 adults tested associations between SES variables and diet quality measured (HEI scores). Results Residential property values, education, and incomes were associated with higher HEI scores in bivariate analyses. Property values were not collinear with either education or income. In adjusted multivariable models, education and residential property were better associated with HEI, compared to than income. Mapping of HEI-2005 and HEI-2010 at the census block level illustrated the geographic distribution of diet quality across Seattle-King County. Conclusion The use of residential property values, an objective measure of SES, allowed for the first visual exploration of diet quality at high spatial resolution: the census block level. PMID:26657348

Does Pedestrian Danger Mediate the Relationship between Local Walkability and Active Travel to Work?

PubMed

Slater, Sandy J; Nicholson, Lisa; Abu Zayd, Haytham; Chriqui, Jamie Friedman

2016-01-01

Environmental and policy factors play an important role in influencing people's lifestyles, physical activity (PA), and risks for developing obesity. Research suggests that more walkable communities are needed to sustain lifelong PA behavior, but there is a need to determine what local built environment features facilitate making being active the easy choice. This county-level study examined the association between local walkability (walkability and traffic calming scales), pedestrian danger, and the percent of adults who used active transport to work. Built environment and PA outcome measures were constructed for the 496 most populous counties representing 74% of the U.S. population. Geographic information system-based walkability scales were constructed and include a census of roads located within the counties using 2011 Navteq data. The pedestrian danger index (PDI) includes data collected from the Fatality Analysis Reporting System 2009-2011, and measures the likelihood of a pedestrian being hit and killed by a vehicle. Four continuous outcome measures were constructed using 2009-2013 American Community Survey county-level 5-year estimates. The measures represent the percentage of workers living in a county who worked away from home and (1) walked to work; (2) biked to work; (3) took public transit; and (4) used any form of active transport. Linear regression and mediation analyses were conducted to examine the association between walkability, PDI, and active transport. Models accounted for clustering within state with robust SEs, and controlled for median household income, families with children in poverty, race, ethnicity, urbanicity, and region. The walkability scale was significantly negatively associated with the PDI (β = -0.06, 95% CI = -0.111, -0.002). In all models, the PDI was significantly negatively associated with all active travel-related outcomes at the p < 0.01 level. The walkability scale was positively associated with all four outcomes at the p < 0.01 level. Results showed that the significant positive relationship between local walkability and the four active transport outcome measures was partially mediated by the PDI. We found no association between traffic calming, the PDI, and the active transport outcomes. Results from this study show that, at the county-level, walkability is associated with active travel, and this association is partially mediated by an index of pedestrian safety.

Current (2004-07) Conditions and Changes in Ground-Water Levels from Predevelopment to 2007, Southern High Plains Aquifer, Southeast New Mexico-Lea County Underground Water Basin

USGS Publications Warehouse

Tillery, Anne

2008-01-01

The Southern High Plains aquifer is the principal aquifer and primary source of water in southeastern New Mexico. The Lea County portion of the aquifer covers approximately the northern two thirds of the 4,393-square-mile county. Successful water-supply planning for New Mexico's Southern High Plains requires knowledge of the current aquifer conditions and a context from which to estimate future trends given current aquifer-management policy. Maps representing water-level declines, current (2007) water levels, aquifer saturated thickness, and depth to water accompanied by hydrographs from representative wells for the Southern High Plains aquifer in the Lea County Underground Water Basin were prepared in cooperation with the New Mexico Office of the State Engineer. Results of this mapping effort show the water level has declined as much as 97 feet in the Lea County Underground Water Basin from predevelopment (1914-54) to 2007 with rates as high as 0.88 feet per year.

Forest cover changes due to hydrocarbon extraction disturbance in central Pennsylvania (2004–2010)

USGS Publications Warehouse

Roig-Silva, Coral; Slonecker, Terry; Milheim, Lesley; Ballew, Jesse R.; Winters, S. Gail

2016-01-01

The state of Pennsylvania has a long history of oil and gas extraction. In recent years with advances in technology such as hydraulic fracturing, hydrocarbon sources that were not profitable in the past are now being exploited. Here, we present an assessment of the cumulative impact of oil and gas extraction activities on the forests of 35 counties in Pennsylvania and their intersecting sub-watersheds between 2004 and 2010. The assessment categorizes counties and sub-watersheds based on the estimated amount of change to forest cover in the area. From the data collected we recognize that although forest cover has not been greatly impacted (with an average loss of percent forest coverage of 0.16% at the county level), landscape structure is affected. Increase in edge forest and decrease in interior forest is evident in many of the counties and sub-watersheds examined. These changes can have a detrimental effect on forest biodiversity and dynamics.

Adapting to Sea Level Rise to the Year 2100 and Beyond in the State of Florida, USA: A Regional Approach Based upon Common Vulnerabilities and the Utility of Shared Resources

NASA Astrophysics Data System (ADS)

Parkinson, R. W.; Harlem, P. W.; Meeder, J.

2014-12-01

We simulate the vulnerability of all 35 Florida coastal counties to the ongoing Anthropocene marine transgression unconstrained by the artificial end date of year 2100. Coastal submergence was emulated using a 'bathtub model' and rising sea level associated with an atmospheric temperature increase of +1 oC to +4 oC (see Levermann et al. [1]). Simulation results are organized into seven regions, each representing an area of common vulnerability characterized in this study as high (9% to 30% land loss), higher (16 to 68% land loss) and highest (48% to 97% land loss). This grouping provides a logical basis for establishing or re-enforcing collaboration based upon a common threat and the utility of shared technical and financial resources. Our bathtub model assumes Florida terrain is simply submerged as the shoreline migrates across a static landscape without change in the physical and biological materials subject to marine transgression. However, geologic studies of past and present Florida shorelines indicate the rate of rise is as important as the magnitude when predicting coastal response. To determine the utility of the bathtub model as a representative simulation of Florida's response to future sea level rise, we considered Florida's coastal response to varying rates of sea level rise over the last 14,000 years. Available data clearly demonstrate predicted rates of sea level rise will result in widespread submergence; the rate of rise will be too fast to be offset by the stabilizing forces of biogenic or physical sediment accumulation. Hence the magnitude of land loss and associated shoreline retreat in each of the seven Florida regions - and likely other coastal zones in the southeast U.S. - will be solely a function of topographic elevation and can therefore be reasonably forecast using a bathtub model. While our focus is on Florida's coastal counties, we recognize in some regions the effects of sea level rise will extend further inland. In these areas, the regional boundaries could be expanded to include adjacent non-coastal counties. However, differences in the perception of risk and associated vulnerability between coastal and inland counties may complicate timely collaboration. References: [1] A. Levermann et al. (2013), The Multi-Millennial Sea-Level Commitment of Global Warming, doi:10.1073/pnas.1219414110.

Impact of increased patient choice of providers in Sweden: cataract surgery.

PubMed

Hanning, Marianne; Åhs, Annika; Winblad, Ulrika; Lundström, Mats

2012-04-01

Choice of provider was introduced in Sweden in 2001. Our aim was to describe the scope and character of patient flows and to analyze any differences between patients who chose to move outside of their home county (movers) and those who did not (non-movers) with regard to age, sex, waiting time and level of need. Use of cataract operations between 2005 and 2008 based on data from the National Cataract Register. Data were analysed using descriptive statistics, odds ratios and multivariate regression analysis to compare movers and non-movers. Information on contracting between county councils and providers in other counties was obtained from a survey. Only 4% of cataract patients were treated by a provider outside their home county. Patient flows were mainly determined by contracts between county councils and providers, and only 1% were considered to be 'true' movers (i.e. patients who were not part of any special contracting agreement). Movers differed from non-movers in that they were on average younger, had less serious visual problems and had shorter waiting times. Though patient flows are minor in scope, the possibility of changing provider has probably been important in tackling long waits in some counties. However, the reform may threaten the equity of health care use.

Compilation of Water-Resources Data and Hydrogeologic Setting for Brunswick County, North Carolina, 1933-2000

USGS Publications Warehouse

Fine, Jason M.; Cunningham, William L.

2001-01-01

Water-resources data were compiled for Brunswick County, North Carolina, to describe the hydrologic conditions of the County. Hydrologic data collected by the U.S. Geological Survey as well as data collected by other governmental agencies and reviewed by the U.S. Geological Survey are presented. Data from four weather stations and two surface-water stations are summarized. Data also are presented for land use and land cover, soils, geology, hydrogeology, 12 continuously monitored ground-water wells, 73 periodically measured ground-water wells, and water-quality measurements from 39 ground-water wells. Mean monthly precipitation at the Longwood, Shallotte, Southport, and Wilmington Airport weather stations ranged from 2.19 to 7.94 inches for the periods of record, and mean monthly temperatures at the Longwood, Southport, and Wilmington Airport weather stations ranged from 43.4 to 80.1 degrees Fahrenheit for the periods of record. An evaluation of land-use and land-cover data for Brunswick County indicated that most of the County is either forested land (about 57 percent) or wetlands (about 29 percent). Cross sections are presented to illustrate the general hydrogeology beneath Brunswick County. Water-level data for Brunswick County indicate that water levels ranged from about 110 feet above mean sea level to about 22 feet below mean sea level. Chloride concentrations measured in aquifers in Brunswick County ranged from near 0 to 15,000 milligrams per liter. Chloride levels in the Black Creek and Cape Fear aquifers were measured at well above the potable limit for ground water of 250 milligrams per liter set by the U.S. Environmental Protection Agency for safe drinking water.

Moderation of the Relation of County-Level Cost of Living to Nutrition by the Supplemental Nutrition Assistance Program

PubMed Central

Wimer, Christopher; Seligman, Hilary

2016-01-01

Objectives. To examine the association of county-level cost of living with nutrition among low-income Americans. Methods. We used the National Household Food Acquisition and Purchase Survey (2012–2013; n = 14 313; including 5414 persons in households participating in the Supplemental Nutrition Assistance Program [SNAP]) to examine associations between county-level cost-of-living metrics and both food acquisitions and the Healthy Eating Index, with control for individual-, household-, and county-level covariates and accounting for unmeasured confounders influencing both area of living and food acquisition. Results. Living in a higher-cost county—particularly one with high rent costs—was associated with significantly lower volume of acquired vegetables, fruits, and whole grains; greater volume of acquired refined grains, fats and oils, and added sugars; and an 11% lower Healthy Eating Index score. Participation in SNAP was associated with nutritional improvements among persons living in higher-cost counties. Conclusions. Living in a higher-cost county (particularly with high rent costs) is associated with poorer nutrition among low-income Americans, and SNAP may mitigate the negative nutritional impact of high cost of living. PMID:27631742

Potentiometric Surface of the Lower Patapsco Aquifer in Southern Maryland, September 2009

USGS Publications Warehouse

Curtin, Stephen E.; Andreasin, David C.; Staley, Andrew W.

2010-01-01

This report presents a map showing the potentiometric surface of the lower Patapsco aquifer in the Patapsco Formation of Early Cretaceous age in Southern Maryland during September 2009. The map is based on water-level measurements in 64 wells. The highest measured water level was 110 feet above sea level near the northwestern boundary and outcrop area of the aquifer in northern Prince George's County. From this area, the potentiometric surface declined towards well fields at Severndale, Broad Creek, and Arnold. The measured groundwater levels were 99 feet below sea level at Severndale, 50 feet below sea level at Broad Creek, and 36 feet below sea level at Arnold. There was also a cone of depression in Charles County that includes Waldorf, La Plata, Indian Head, and the Morgantown power plant. The groundwater levels measured were as low as 215 feet below sea level at Waldorf, 149 feet below sea level at La Plata, 121 feet below sea level at Indian Head, and 96 feet below sea level at the Morgantown power plant. The map also shows well yield in gallons per day for 2008 at wells or well fields.

Potentiometric surface and specific conductance of the Sparta and Memphis aquifers in eastern Arkansas, 1995

USGS Publications Warehouse

Stanton, Gregory P.

1997-01-01

The Sparta and Memphis aquifers in eastern and south-central Arkansas are a major source of water for industrial, public supply, and agricultural uses. An estimated 240 million gallons per day was withdrawn from the Sparta and Memphis aquifers in 1995, an increase of about 17 million gallons per day from 1990. During the spring and early summer of 1995, the water level in the Sparta and Memphis aquifers was measured in 145 wells, the specific conductance of 101 ground-water samples collected from those aquifers was measured. Maps of areal distribution of potentiometric surface and specific conductance generated from these data reveal spatial trends in these parameters across the eastern and south-central Arkansas study area. The altitude of the potentiometric surface ranged from about 206 feet below sea level in Union County to about 307 feet above sea level in Saline County. The potentiometric surface of the Sparta and Memphis aquifers contains cones of depression descending below sea level in the central and southern portions of the study area, and a potentiometric high along the western study area boundary. Major recharge areas exhibit potentiometric highs greater than 200 feet above sea level and specific conductance values less than 200 microsiemens per centimeter, and generally are located in the outcrop/subcrop areas on the southern one-third of the western boundary and the northern portion of the study area. The regional direction of ground-water flow is from the north and west to the south and east, away from the outcrop and subcrop and northern regions, except near areas affected by intense ground-water withdrawals; such areas are manifested by large cones of depression centered in Columbia, Jefferson, and Union Counties. The cones of depression in adjoining Columbia and Union Counties are coalescing at or near sea level. The lowest water level measured was about 206 feet below sea level in Union County. Increased specific conductance values were measured in the areas of the cones of depression in Columbia and Union Counties. The cones of depression centered in Jefferson County coincides with an elongate area where ground water in the aquifer has low specific conductance. This area extends eastward from the outcrop/subcrop region of recharge. This extension of ground water with low specific conductance possibly indicates increased ground-water movement to the east-southeast from the outcrop/subcrop area induced by ground- water withdrawals in Jefferson County. Specific conductance increases markedly to the northeast and gradually to the south of this area. Long-term hydrographs of eight wells in the study areas, during the period 1970-1995, reveal water-level declines ranging from less than 0.5 foot per year in Phillips County to more than 2.0 feet per year in Union County. Water-level declines of greater than 1.5 feet per year generally are associated with the cones of depression centered in Columbia, Jefferson, and Union Counties.

Experience-Based Career Education. High School Level Demonstration Project. Final Report (October 1, 1976 to July 30, 1979).

ERIC Educational Resources Information Center

Greenville County School District, Greenville, SC.

An Experience-Based Career Education (EBCE) exemplary project was conducted for three years in four high schools in Greenville County, South Carolina, and then evaluated for this final program report. Guidance and community components made up the program's major strengths. A third component (academic) proved nonessential. The guidance component…

Forest-Based Biomass Supply Curves for the United States

Treesearch

Kenneth Skog; Jamie Barbour; Marilyn Buford; Dennis Drykstra; Patti Lebow; Pat Miles; Bob Perlack; Bryce Stokes

2013-01-01

Nationwide, county-level supply curves have been estimated for forest-based biomass to evaluate their potential contributions to producing biofuels. This study builds on the estimates of potential supply in the Billion Ton Supply study prepared by the U.S. Department of Agriculture and the U.S. Department of Energy. Forest biomass sources include logging...

Ground-water levels in Huron County, Michigan, 2004-05

USGS Publications Warehouse

Weaver, T.L.; Crowley, S.L.; Blumer, S.P.

2006-01-01

In 1990, the U.S. Geological Survey (USGS) completed a study of the hydrogeology of Huron County, Michigan (Sweat, 1991). In 1993, Huron County and the USGS entered into a continuing agreement to measure water levels at selected wells throughout Huron County. As part of the agreement, USGS has operated four continuous water-level recorders, installed from 1988 to 1991 on wells in Bingham, Fairhaven, Grant, and Lake Townships (fig. 1) and summarized the data collected in an annual or bi-annual report. The agreement was altered in 2003, and beginning January 1, 2004, only the wells in Fairhaven and Lake Townships retained continuous waterlevel recorders, while the wells in Grant and Bingham Townships reverted primarily to periodic or quarterly measurement status. USGS also has provided training for County or Huron Conservation District personnel to measure the water level, on a quarterly basis, in 25 wells. USGS personnel regularly accompany County or Huron Conservation District personnel to provide a quality assurance/quality control check of all measurements being made. Water-level data collected from the 25 periodically or quarterly-measured wells is summarized in an annual or bi-annual report. In 1998, the USGS also completed a temporal and spatial analysis of the monitoring well network in Huron County (Holtschlag and Sweat, 1998). The altitude of Lake Huron and precipitation are good indicators of general climatic conditions and, therefore, provide an environmental context for ground-water levels in Huron County. Figure 2 shows the mean-monthly water-level altitude of Lake Huron, averaged from measurements made by the U.S. Army Corps of Engineers at sites near Essexville or Harbor Beach, or both (National Oceanic and Atmospheric Administration, 2003-05), and monthly precipitation measured in Bad Axe (National Oceanic and Atmospheric Administration, 2003-05). In March 2003, a new low-water level for the period from 1991 through 2005 was measured in Lake Huron. There was almost no net change in the water level of Lake Huron from January 2004 through December 2005. In 2004, annual precipitation measured in Port Hope was about 3.7 inches above normal, but precipitation measured in Bad Axe was about 1.4 inches below normal. About 14.5 inches of precipitation was measured in Bad Axe during the 2004 summer growing season (May through August), which is about the same as was measured in Port Hope during the same period. Provisional precipitation totals for 2005 were 30.7 inches for January through November in Port Hope, and about 31.7 inches for the year in Bad Axe. About 10.6 inches of precipitation was measured in Bad Axe during the 2005 summer growing season, which is about 0.2 inches more than was recorded at Port Hope during the same period. Two wells equipped with continuous-data recorders are completed in the Saginaw and Marshall aquifers in Fairhaven and Lake Townships, respectively. From January 2004 through December 2005, the net rise in the water level in the Fairhaven Township well was 0.71 ft, and the net rise in the Lake Township well was 0.98 ft. The Fairhaven Township well is drilled adjacent to Saginaw Bay (Lake Huron), and, as previously noted, there was almost no net change in the water level in Saginaw Bay over the same period. Hydrographs showing water levels are presented for the two wells equipped with continuous-data recorders. Continuous-data recorders were discontinued in the Grant and Bingham Township wells at the end of 2003 due to budget constraints. The decision of which two wells to discontinue was based on an analysis of the intrinsic value to Huron County of data from each well. The Grant Township well was selected for periodic or quarterly measurement at that time because it is completed in the glacial aquifer, which is little used for drinking water purposes or absent in much of Huron County. The Bingham Township well, which is completed in the Marshall aquifer, was selected for

Environmental Assessment Installation Development and Base Realignment and Closure Actions

DTIC Science & Technology

2007-01-01

T -6 Basing and Operation ( T -6 E A). T he FONSl for the T -6 E A was s igned June 6. 2004. Constm ction...training and a ircraft operations up to the levels assessed in the T -6 E A. JFf program T -3 8 a ircrews would use the Navy’ s N ox ubee County Target... operations wi ll occur at the max imum stu dent pi lo t production levels assessed in the T -6 EA. T he max imum base populat ion wi ll be 7,47

Hydrogeology of, water withdrawal from, and water levels and chloride concentrations in the major Coastal Plain aquifers of Gloucester and Salem Counties, New Jersey

USGS Publications Warehouse

Cauller, S.J.; Carleton, G.B.; Storck, M.J.

1999-01-01

Eight aquifers underlying Gloucester and Salem Counties in the southwestern Coastal Plain of New Jersey provide nearly all the drinking water for the 295,000 people who live in the area. Ground-water withdrawals in the two-county area and adjoining counties have affected water levels in several of these aquifers. Ground-water withdrawals in the two-county area also have affected the quality of water, increasing the chloride concentration in several of the aquifers as a result of saltwater intrusion. This report contains hydrologic data from the two-county area, including geometry and extent of hydrogeologic units, thickness and altitude of each aquifer, withdrawals from and water levels in major aquifers, and chloride concentrations in water from each aquifer. Reported ground-water withdrawals in Gloucester and Salem Counties during 1975-95 averaged 7,800 Mgal/yr (million gallons per year) for public supply, 4,900 Mgal/yr for industrial use, 700 Mgal/yr for irrigation, 500 Mgal/yr for power plants, 50 Mgal/yr for commercial use, and about 40 Mgal/yr for mining. Withdrawals for domestic self-supply in 1994 are estimated to be about 2,600 Mgal/yr, but only about 20 percent (520 Mgal/yr) is thought to be consumptive use; the remainder is returned to the aquifer through septic systems. The most heavily used aquifer in Salem and Gloucester Counties is the Upper Potomac-Raritan-Magothy aquifer, followed by, in decreasing order of use, the Middle Potomac-Raritan-Magothy aquifer, the Lower Potomac-Raritan-Magothy aquifer, the Kirkwood-Cohansey aquifer system, and the Wenonah-Mount Laurel aquifer. Reported withdrawals from these aquifers during 1975-95 averaged 5,000, 3,700, 3,200, and 330 Mgal/yr, respectively. Withdrawals from the Wenonah-Mount Laurel aquifer in Gloucester County increased during 1993-96 because of New Jersey Department of Environmental Protection restrictions on new withdrawals from the deeper Potomac-Raritan-Magothy aquifer system. Because of the increased rate of withdrawal, water-level altitudes in the Wenonah-Mount Laurel aquifer in some parts of the two counties in 1996 were from 5 to 40 ft lower than water levels measured in 1993 and previous years, reaching a low of almost 40 ft below sea level in Washington Township, Gloucester County. Ground water in the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers in the study area is withdrawn from the outcrop areas near the Delaware River downdip to the Glassboro vicinity. Water-level altitudes in 1993 in the three aquifers were near sea level in the outcrop areas near the Delaware River, but were as low as 80 ft below sea level in parts of Gloucester County that were affected by withdrawals in Camden County and were 20 to 60 ft below sea level near major withdrawal centers in the study area. Chloride concentrations in water samples from selected wells in seven aquifers throughout Gloucester and Salem Counties have been monitored since 1949. These aquifers include the Kirkwood-Cohansey aquifer system, the Vincentown and Wenonah-Mount Laurel aquifers, the Englishtown aquifer system, and the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers. The results of chloride analyses of 4,221 samples from 496 wells indicate the extent and magnitude of saltwater intrusion in these aquifers, six of which have been affected to varying degrees by saltwater intrusion. The confined Piney Point aquifer and the unconfined Kirkwood-Cohansey aquifer system show no measurable effects of saltwater intrusion in the study area. Chloride concentrations in water from selected public-supply wells screened in the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers have increased over time in communities along the Delaware River and further inland in both Gloucester and Salem Counties. Elevated chloride concentrations in the Potomac-Raritan-Magothy aquifer system are widespread in this area but rarely exceed the drinking-water standard of 250 milligrams per liter.

Predictors of Low-Care Prevalence in Florida Nursing Homes: The Role of Medicaid Waiver Programs

ERIC Educational Resources Information Center

Hahn, Elizabeth A.; Thomas, Kali S.; Hyer, Kathryn; Andel, Ross; Meng, Hongdao

2011-01-01

Purpose of the study: To examine the relationship between county-level Medicaid home- and community-based service (HCBS) waiver expenditures and the prevalence of low-care residents in Florida nursing homes (NHs). Design and Methods: The present study used a cross-sectional design. We combined two data sources: NH facility-level data (including…

VIEW OF CONTROL PANEL (RIGHT) AT THE GROUND FLOOR LEVEL ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

VIEW OF CONTROL PANEL (RIGHT) AT THE GROUND FLOOR LEVEL AND SIDE OF THE MISSILE TUBE (FOREGROUND). VIEW FACING EAST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

VIEW OF SECOND LEVEL OF MISSILE LAB WITH MISSILE TUBE ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

VIEW OF SECOND LEVEL OF MISSILE LAB WITH MISSILE TUBE WITH HATCH ON LEFT AND CONTROL PANEL ON RIGHT. VIEW FACING SOUTHEAST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

DETAIL OF INTERIOR OF MISSILE TUBE AT GROUND FLOOR LEVEL ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

DETAIL OF INTERIOR OF MISSILE TUBE AT GROUND FLOOR LEVEL SHOWING AIR COMPRESSOR TANKS AND CURVING STEEL PIECE. VIEW FACING EAST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

OVERVIEW OF DIVE TRAINER SIMULATOR FROM FIRST FLOOR LEVEL SHOWING ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

OVERVIEW OF DIVE TRAINER SIMULATOR FROM FIRST FLOOR LEVEL SHOWING HYDRAULIC EQUIPMENT, SUPPORTS AND FOUNDATION BLOCKS. VIEW FACING NORTHEAST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

Environmental Assessment for the South Gate Improvement Project Travis Air Force Base Solano County, California

DTIC Science & Technology

2005-12-01

3-11 De Minimis Levels for Exemption from General Confonnity Rule Requirements...Confonnity Rule de minimis levels. Therefore, not No significant impact. Noise -------1---=c=--onsidered a significant impact. Temporary, short...required under state law. This combined element is intended to guide long-range growth and de - velopment in an orderly manner that protects the

Correlates of county-level nonviral sexually transmitted infection hot spots in the US: application of hot spot analysis and spatial logistic regression.

PubMed

Chang, Brian A; Pearson, William S; Owusu-Edusei, Kwame

2017-04-01

We used a combination of hot spot analysis (HSA) and spatial regression to examine county-level hot spot correlates for the most commonly reported nonviral sexually transmitted infections (STIs) in the 48 contiguous states in the United States (US). We obtained reported county-level total case rates of chlamydia, gonorrhea, and primary and secondary (P&S) syphilis in all counties in the 48 contiguous states from national surveillance data and computed temporally smoothed rates using 2008-2012 data. Covariates were obtained from county-level multiyear (2008-2012) American Community Surveys from the US census. We conducted HSA to identify hot spot counties for all three STIs. We then applied spatial logistic regression with the spatial error model to determine the association between the identified hot spots and the covariates. HSA indicated that ≥84% of hot spots for each STI were in the South. Spatial regression results indicated that, a 10-unit increase in the percentage of Black non-Hispanics was associated with ≈42% (P < 0.01) [≈22% (P < 0.01), for Hispanics] increase in the odds of being a hot spot county for chlamydia and gonorrhea, and ≈27% (P < 0.01) [≈11% (P < 0.01) for Hispanics] for P&S syphilis. Compared with the other regions (West, Midwest, and Northeast), counties in the South were 6.5 (P < 0.01; chlamydia), 9.6 (P < 0.01; gonorrhea), and 4.7 (P < 0.01; P&S syphilis) times more likely to be hot spots. Our study provides important information on hot spot clusters of nonviral STIs in the entire United States, including associations between hot spot counties and sociodemographic factors. Published by Elsevier Inc.

Poverty, Sprawl, and Restaurant Types Influence Body Mass Index of Residents in California Counties

PubMed Central

Gregson, Jennifer

2011-01-01

Objectives. This article examines the relationships between structural poverty (the proportion of people in a county living at ≤130% of the federal poverty level [FPL]), urban sprawl, and three types of restaurants (grouped as fast food, chain full service, and independent full service) in explaining body mass index (BMI) of individuals. Methods. Relationships were tested with two-tiered hierarchical models. Individual-level data, including the outcome variable of calculated BMI, were from the 2005, 2006, and 2007 California Behavioral Risk Factor Surveillance Survey (n=14,205). County-level data (n=33) were compiled from three sources. The 2000 U.S. Census provided the proportion of county residents living at ≤130% of FPL and county demographic descriptors. The sprawl index used came from the Smart Growth America Project. Fast-food, full-service chain, and full-service independently owned restaurants as proportions of the total retail food environment were constructed from a commercially available market research database from 2004. Results. In the analysis, county-level demographic characteristics lost significance and poverty had a consistent, robust association on BMI (p<0.001). Sprawl demonstrated an additional, complementary association to county poverty (p<0.001). Independent restaurants had a large, negative association to BMI (p<0.001). The coefficients for chain and fast-food restaurants were large and positive (p≤0.001), indicating that as the proportion of these restaurants in a county increases, so does BMI. Conclusions. This study demonstrates the important role of county poverty and urban sprawl toward understanding environmental influences on BMI. Using three categories of restaurants demonstrates different associations of full-service chain and independent restaurants, which are often combined in other research. PMID:21563722

Poverty, sprawl, and restaurant types influence body mass index of residents in California counties.

PubMed

Gregson, Jennifer

2011-01-01

This article examines the relationships between structural poverty (the proportion of people in a county living at < or =130% of the federal poverty level [FPL]), urban sprawl, and three types of restaurants (grouped as fast food, chain full service, and independent full service) in explaining body mass index (BMI) of individuals. Relationships were tested with two-tiered hierarchical models. Individual-level data, including the outcome variable of calculated BMI, were from the 2005, 2006, and 2007 California Behavioral Risk Factor Surveillance Survey (n = 14,205). County-level data (n = 33) were compiled from three sources. The 2000 U.S. Census provided the proportion of county residents living at < or = 130% of FPL and county demographic descriptors. The sprawl index used came from the Smart Growth America Project. Fast-food, full-service chain, and full-service independently owned restaurants as proportions of the total retail food environment were constructed from a commercially available market research database from 2004. In the analysis, county-level demographic characteristics lost significance and poverty had a consistent, robust association on BMI (p < 0.001). Sprawl demonstrated an additional, complementary association to county poverty (p < 0.001). Independent restaurants had a large, negative association to BMI (p < 0.001). The coefficients for chain and fast-food restaurants were large and positive (p < or = 0.001), indicating that as the proportion of these restaurants in a county increases, so does BMI. This study demonstrates the important role of county poverty and urban sprawl toward understanding environmental influences on BMI. Using three categories of restaurants demonstrates different associations of full-service chain and independent restaurants, which are often combined in other research.

Geographical Variations in the Environmental Determinants of Physical Inactivity among U.S. Adults.

PubMed

An, Ruopeng; Li, Xinye; Jiang, Ning

2017-10-31

Physical inactivity is a major modifiable risk factor for morbidity, disability and premature mortality worldwide. This study assessed the geographical variations in the impact of environmental quality on physical inactivity among U.S. adults. Data on county-level prevalence of leisure-time physical inactivity came from the Behavioral Risk Factor Surveillance System. County environment was measured by the Environmental Quality Index (EQI), a comprehensive index of environmental conditions that affect human health. The overall EQI consists of five subdomains-air, water, land, social, and built environment. Geographically weighted regressions (GWRs) were performed to estimate and map county-specific impact of overall EQI and its five subdomains on physical inactivity prevalence. The prevalence of leisure-time physical inactivity among U.S. counties was 25% in 2005. On average, one standard deviation decrease in the overall EQI was associated with an increase in county-level prevalence of leisure-time physical inactivity by nearly 1%. However, substantial geographical variations in the estimated environmental determinants of physical inactivity were present. The estimated changes of county-level prevalence of leisure-time physical inactivity resulted from one standard deviation decrease of the overall EQI ranged from an increase of over 3% to a decrease of nearly 2% across U.S. counties. Analogous, the estimated changes of county-level prevalence of leisure-time physical inactivity resulted from one standard deviation decrease of the EQI air, water, land, social, and built environment subdomains ranged from an increase of 2.6%, 1.5%, 2.9%, 3.3%, and 1.7% to a decrease of 2.9%, 1.4%, 2.4%, 2.4%, and 0.8% across U.S. counties, respectively. Given the substantial heterogeneities in the environmental determinants of physical inactivity, locally customized physical activity interventions are warranted to address the most concerning area-specific environmental issue.

Potentiometric surface of the Ozark aquifer in northern Arkansas, 2010

USGS Publications Warehouse

Czarnecki, John B.; Pugh, Aaron L.; Blackstock, Joshua M.

2014-01-01

The Ozark aquifer in northern Arkansas is composed of dolomite, limestone, sandstone, and shale of Late Cambrian to Middle Devonian age and ranges in thickness from approximately 1,100 feet to more than 4,000 feet. Hydrologically, the aquifer is complex, characterized by discrete and discontinuous flow components with large variations in permeability. The potentiometric-surface map, based on 56 well and 5 spring water-level measurements made in 2010 in Arkansas and Missouri, has a maximum water-level altitude measurement of 1,174 feet in Carroll County and a minimum water-level altitude measurement of 120 feet in Randolph County. Regionally, the flow within the aquifer is to the south and southeast in the eastern and central part of the study area and to the west, northwest, and north in the western part of the study area. Water-level altitudes changed 0.5 feet or less in 31 out of 56 wells measured between 2007 and 2010. Despite rapidly increasing population within the study area, the increase appears to have minimal effect on groundwater levels, although the effect may have been minimized by the development and use of surface-water distribution infrastructure, suggesting that most of the incoming populations are fulfilling their water needs from surface-water sources. The conversion of some users from groundwater to surface water may be allowing water levels in some wells to recover (rise) or decline at a slower rate in some areas such as in Benton, Carroll, and Washington Counties.

Examining associations among obesity and per capita farmers' markets, grocery stores/supermarkets, and supercenters in US counties.

PubMed

Jilcott, Stephanie B; Keyserling, Thomas; Crawford, Thomas; McGuirt, Jared T; Ammerman, Alice S

2011-04-01

Fruit and vegetable consumption is an important component of a healthful diet, yet fruits and vegetables are underconsumed, especially among low-income groups with high prevalence rates of obesity. This study used data from the US Department of Agriculture Economic Research Service Food Environment Atlas to examine county-level associations among obesity prevalence and per capita farmers' markets, grocery stores/supermarkets, and supercenters, adjusted for natural amenities, percent black, percent Hispanic, median age, and median household income, stratified by county metropolitan status. In models that included all three of the food venues, supercenters and grocery stores per capita were inversely associated with obesity in the combined (metro and nonmetro) and metro counties. Farmers' markets were not significant in the model for combined (metro and nonmetro) or for metro counties alone, but were significantly inversely related to obesity rates in the model for nonmetro counties. In this ecologic study, density of food venues was inversely associated with county-level obesity prevalence. Thus, future research should examine similar associations at the individual-level. Copyright © 2011 American Dietetic Association. Published by Elsevier Inc. All rights reserved.

Evaluating a county-based Healthy nail Salon Recognition Program

EPA Science Inventory

To determine whether nail solons that participate in the SF recognition program have reduced measured levels of toluene, methyl methacrylate (MMA), and total volatile organic compounds (TVOC)as compared to nail salons that do not participate. We also evaluated changes in worker ...

Systems, supplies, and staff: a mixed-methods study of health care workers' experiences and health facility preparedness during a large national cholera outbreak, Kenya 2015.

PubMed

Curran, Kathryn G; Wells, Emma; Crowe, Samuel J; Narra, Rupa; Oremo, Jared; Boru, Waqo; Githuku, Jane; Obonyo, Mark; De Cock, Kevin M; Montgomery, Joel M; Makayotto, Lyndah; Langat, Daniel; Lowther, Sara A; O'Reilly, Ciara; Gura, Zeinab; Kioko, Jackson

2018-06-11

From December 2014 to September 2016, a cholera outbreak in Kenya, the largest since 2010, caused 16,840 reported cases and 256 deaths. The outbreak affected 30 of Kenya's 47 counties and occurred shortly after the decentralization of many healthcare services to the county level. This mixed-methods study, conducted June-July 2015, assessed cholera preparedness in Homa Bay, Nairobi, and Mombasa counties and explored clinic- and community-based health care workers' (HCW) experiences during outbreak response. Counties were selected based on cumulative cholera burden and geographic characteristics. We conducted 44 health facility cholera preparedness checklists (according to national guidelines) and 8 focus group discussions (FGDs). Frequencies from preparedness checklists were generated. To determine key themes from FGDs, inductive and deductive codes were applied; MAX software for qualitative data analysis (MAXQDA) was used to identify patterns. Some facilities lacked key materials for treating cholera patients, diagnosing cases, and maintaining infection control. Overall, 82% (36/44) of health facilities had oral rehydration salts, 65% (28/43) had IV fluids, 27% (12/44) had rectal swabs, 11% (5/44) had Cary-Blair transport media, and 86% (38/44) had gloves. A considerable number of facilities lacked disease reporting forms (34%, 14/41) and cholera treatment guidelines (37%, 16/43). In FDGs, HCWs described confusion regarding roles and reporting during the outbreak, which highlighted issues in coordination and management structures within the health system. Similar to checklist findings, FGD participants described supply challenges affecting laboratory preparedness and infection prevention and control. Perceived successes included community engagement, health education, strong collaboration between clinic and community HCWs, and HCWs' personal passion to help others. The confusion over roles, reporting, and management found in this evaluation highlights a need to adapt, implement, and communicate health strategies at the county level, in order to inform and train HCWs during health system transformations. International, national, and county stakeholders could strengthen preparedness and response for cholera and other public health emergencies in Kenya, and thereby strengthen global health security, through further investment in the existing Integrated Disease Surveillance and Response structure and national cholera prevention and control plan, and the adoption of county-specific cholera control plans.

Importing the Poor: Welfare Magnetism and Cross-Border Welfare Migration

PubMed Central

McKinnish, Terra

2011-01-01

I test for welfare-induced migration by comparing AFDC participation in border counties to interior counties in the same state. If migration costs are lower for border county residents, border counties on the high-benefit side of a state border should have higher welfare participation relative to the state’s interior counties. Border counties on the low-benefit side should have lower welfare participation relative to the state’s interior counties. The results obtained using county-level data from 1970–90 indicate that having a neighbor with benefits that are $100 lower increases AFDC expenditures in border counties by 4.0–6.8 percent relative to interior counties. PMID:21949446

Incidence of malignant lymphoma in adolescents and young adults in the 58 counties of California with varying synthetic turf field density.

PubMed

Bleyer, Archie; Keegan, Theresa

2018-04-01

Case reports of cancer among soccer players raised concerns that the crumb rubber infill in synthetic turf fields may cause malignant lymphoma. One prior epidemiologic study on the topic found no association. An ecologic evaluation of county-level incidence of lymphomas by race/ethnicity and socioeconomic status for the state of California with data obtained from the National Cancer Institute Surveillance, Epidemiology, and End Results Program. Synthetic turf field density by county was obtained from the Synthetic Turf Council. During 2000-2013, 7214 14- to 30-year-old Californians were diagnosed with malignant lymphoma. Annual lymphoma county incidence trends were not associated with the county-level synthetic turf field density. None of 20 sub-analyses by race/ethnicity, sex and county median household income indicated a correlation of lymphoma incidence with synthetic turf field density. In California, there was no evidence at the county-level that synthetic turf fields are associated with an increased incidence of lymphoma in adolescents and young adults. Our findings in the state with the greatest number of such fields and a large, diverse patient population are consistent with those of a prior study observing no association between individual-level exposures to turf fields and cancer incidence. Avoidance of synthetic turf fields for fear of increased cancer risk is not warranted. Copyright © 2018 Elsevier Ltd. All rights reserved.

School Progress Report 2012. Montgomery County Public Schools

ERIC Educational Resources Information Center

Montgomery County Public Schools, 2013

2013-01-01

The 2012 School Progress Report for Montgomery County Public Schools (MCPS) provides state, county, and individual school performance data, as well as information on student attendance, high school graduation rates, and the professional qualifications of teachers at the state, district, and school levels. Montgomery County primary schools are…

Personal, neighbourhood and urban factors associated with obesity in the United States.

PubMed

Joshu, C E; Boehmer, T K; Brownson, R C; Ewing, R

2008-03-01

Growing evidence suggests the built environment impacts obesity within urban areas; however, little research has investigated these relationships across levels of urbanisation in diverse and representative populations. This study aimed to determine whether personal and neighbourhood barriers differ by the level of urbanisation and the relative importance of personal barriers, neighbourhood barriers and land-use development patterns measured by a county-level sprawl index. Population-based, cross-sectional telephone survey data were collected on 1818 United States adults of diverse ethnicity and income level. Primary analyses were stratified by the level of urbanisation at the county level (large metropolitan, small metropolitan, non-metro, rural). Associations between obesity and neighbourhood and personal barriers were estimated with logistic regression, controlling for demographic variables. Within metropolitan areas, the association between body mass index (BMI) and county-level sprawl was estimated using hierarchical linear modelling, controlling for individual-level neighbourhood and personal barriers and demographic variables and then assessing cross-level interaction. The prevalence of neighbourhood, but not personal, barriers differed widely across levels of urbanisation. Specific neighbourhood (eg traffic, unattended dogs) and personal (eg time, injury) barriers differentially correlated with obesity across strata. The impact of sprawl on BMI (B = -0.005) was consistent with previous findings; standardised coefficients indicate that personal (beta = 0.10) and neighbourhood (beta = 0.05) barriers had a stronger association than sprawl (beta = -0.02). Furthermore, the effect of sprawl on BMI increased by -0.006 with each additional personal barrier. Future intervention planning and policy development should consider that personal barriers and built environment characteristics may interact with each other and influence obesity differently across urbanisation levels.

Inventory of forest resources (including water) by multi-level sampling. [nine northern Virginia coastal plain counties

NASA Technical Reports Server (NTRS)

Aldrich, R. C.; Dana, R. W.; Roberts, E. H. (Principal Investigator)

1977-01-01

The author has identified the following significant results. A stratified random sample using LANDSAT band 5 and 7 panchromatic prints resulted in estimates of water in counties with sampling errors less than + or - 9% (67% probability level). A forest inventory using a four band LANDSAT color composite resulted in estimates of forest area by counties that were within + or - 6.7% and + or - 3.7% respectively (67% probability level). Estimates of forest area for counties by computer assisted techniques were within + or - 21% of operational forest survey figures and for all counties the difference was only one percent. Correlations of airborne terrain reflectance measurements with LANDSAT radiance verified a linear atmospheric model with an additive (path radiance) term and multiplicative (transmittance) term. Coefficients of determination for 28 of the 32 modeling attempts, not adverseley affected by rain shower occurring between the times of LANDSAT passage and aircraft overflights, exceeded 0.83.

Big five personality and residential mobility: a state-level analysis of the USA.

PubMed

McCann, Stewart J H

2015-01-01

Relations of the state-aggregated Big Five personality scores of 619,397 residents to four 2005 state-level residential mobility criteria were examined with the 50 states as cases. Multiple regression controlling for five state demographic variables showed (a) higher state neuroticism was strongly associated with lower mobility, lower same-county mobility, and lower between-county mobility; (b) higher state extraversion was associated with lower mobility and lower same-county mobility, but only with neuroticism and/or conscientiousness controlled; and (c) conscientiousness was related to same-residence, same-county, and different-county mobility, but only without demographic variables controlled. Discussion is grounded in the dangers of cross-level speculation and the potential of a basic assumption of geographical psychology that an area's aggregate position on a dispositional variable is associated there with behavioral and psychological tendencies related to that variable.

Addressing rural health disparities through policy change in the stroke belt.

PubMed

Jilcott Pitts, Stephanie B; Smith, Tosha W; Thayer, Linden Maya; Drobka, Sarah; Miller, Cassandra; Keyserling, Thomas C; Ammerman, Alice S

2013-01-01

Obesity-prevention policies are needed, particularly in low-income rural areas of the southern United States, where obesity and chronic disease prevalence are high. In 2009, the Centers for Disease Control and Prevention issued the "Common Community Measures for Obesity Prevention" (COCOMO), a set of 24 recommended community-level obesity-prevention strategies. A variety of stakeholders in Lenoir County, North Carolina, were surveyed and interviewed, ranking the winnability, defined as feasibility and acceptability, of each of the 24 COCOMO-recommended strategies based on local culture, infrastructure, funding, and community support. Mixed-methods. This study was part of the Heart Healthy Lenoir project, a community-based project to reduce cardiovascular disease risk and disparities in risk in Lenoir County, North Carolina. COCOMO assessments were conducted with 19 Community Advisory Council members and in-depth interviews were conducted with 11 community stakeholders. Heart Healthy Lenoir lifestyle intervention participants (n = 366) completed surveys wherein they ranked their support for 7 obesity-prevention strategies (based on the COCOMO strategies). Ranking of obesity-prevention strategies. Policies to improve physical activity opportunities were deemed the most winnable, whereas policies that would limit advertisement of unhealthy food and beverages were deemed the least winnable. The most winnable food-related strategy was improving mechanisms to procure food from local farms. Stakeholders perceived the public as unfavorably disposed toward government mandates, taxes, and incentives. Among Heart Healthy Lenoir participants, males indicated lower levels of support for COCOMO-related strategies than females, and African Americans indicated higher levels of support than white participants. The formative work presented here provides insight into the winnability of proposed obesity-prevention policy change strategies in Lenoir County, North Carolina.

Problems Impacting Extension Program Quality at the County Level: Results from an Analysis of County Program Reviews Conducted in Florida

ERIC Educational Resources Information Center

Harder, Amy; Moore, Austen; Mazurkewicz, Melissa; Benge, Matt

2013-01-01

Needs assessments are an important tool for informing organizational development efforts in Extension. The purpose of the study reported here was to identify problems faced by county units within UF/IFAS Extension during county program reviews. The findings were drawn from the reports created after five county units experienced program reviews in…

The Association between County-Level IQ and County-Level Crime Rates

ERIC Educational Resources Information Center

Beaver, Kevin M.; Wright, John Paul

2011-01-01

An impressive body of research has revealed that individual-level IQ scores are negatively associated with criminal and delinquent involvement. Recently, this line of research has been extended to show that state-level IQ scores are associated with state-level crime rates. The current study uses this literature as a springboard to examine the…

[Spatiotemporal variation of typical red soil eroded landscape pattern: a case study in Changting County of Fujian Province].

PubMed

Wu, Guo-sheng; Lin, Hui-hua; Zhu, He-jian; Sha, Jin-ming; Dai, Wen-yuan

2011-07-01

Based on the 1988, 2000, and 2007 remote sensing images of a typical red soil eroded region (Changting County, Fujian Province) and the digital elevation model (DEM), the eroded landscape types were worked out, and the changes of the eroded landscape pattern in the region from 1988 to 2007 were analyzed with the spatial mathematics model. In 1988-2007, different eroded landscape types in the region had the characteristics of inter-transfer, mainly manifested in the transfer from seriously eroded to lightly eroded types but still existed small amount of the transference from lightly eroded to seriously eroded types. Little change was observed in the controid of the eroded landscape. In the County, Hetian Town was all along the eroded center. During the study period, the landscape pattern index showed a tendency of low heterogeneity, low fragmentation, and high regularization at landscape level, but an overall improvement and expansion of lightly eroded and easy-to-tackle patches as well as the partial improvement and fragmentation of seriously eroded and difficult-to-tackle patches at patch level.

Mapping for prevention: GIS models for directing childhood lead poisoning prevention programs.

PubMed Central

Miranda, Marie Lynn; Dolinoy, Dana C; Overstreet, M Alicia

2002-01-01

Environmental threats to children's health--especially low-level lead exposure--are complex and multifaceted; consequently, mitigation of these threats has proven costly and insufficient and has produced economic and racial disparities in exposure among populations. Policy makers, public health officials, child advocates, and others currently lack the appropriate infrastructure to evaluate children's risk and exposure potential across a broad range of risks. Unable to identify where the highest risk of exposure occurs, children's environmental health programs remain mitigative instead of preventive. In this article we use geographic information system spatial analysis of data from blood lead screening, county tax assessors, and the U.S. Census to predict statistically based lead exposure risk levels mapped at the individual tax parcel unit in six counties in North Carolina. The resulting model uses weighted risk factors to spatially locate modeled exposure zones, thus highlighting critical areas for targeted intervention. The methods presented here hold promise for application and extension to the other 94 North Carolina counties and nationally, as well as to other environmental health risks. PMID:12204831

EnviroAtlas - Synthetic N fertilizer application to agricultural lands by 12-digit HUC in the Conterminous United States, 2006

EPA Pesticide Factsheets

This EnviroAtlas dataset contains data on the mean synthetic nitrogen (N) fertilizer application to cultivated crop and hay/pasture lands per 12-digit Hydrologic Unit (HUC) in 2006. Synthetic N fertilizer inputs in 2006 were estimated using county-level estimates of farm N fertilizer inputs. We acquired county-level data describing total farm-level inputs (kg N/yr) of synthetic N fertilizer to individual counties in 2006 from the United States Geological Survey (USGS) (http://pubs.usgs.gov/sir/2012/5207/). These data were converted to per area rates (kg N/ha/yr) of synthetic N fertilizer application by dividing the total N input by the land area (ha) of combined cultivated crop and hay/pasture lands within a county as determined from county-level (http://cta.ornl.gov/transnet/Boundaries.html) summarization of the 2006 National Land Cover Database (NLCD; http://www.mrlc.gov/nlcd06_data.php). We distributed county-specific, annual per area N inputs rates (kg N/ha/yr) to cultivated crop and hay/pasture lands (30 x 30 m pixels) within the corresponding county using the raster calculator tool in ArcMap 10.0 (ESRI, Inc., Redlands, CA). Fertilizer data described here represent an average input to a typical agricultural land type within a county, i.e., they are not specific to individual crop types. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the us

Hydrology of Polk County, Florida

USGS Publications Warehouse

Spechler, Rick M.; Kroening, Sharon E.

2007-01-01

Local water managers usually rely on information produced at the State and regional scale to make water-resource management decisions. Current assessments of hydrologic and water-quality conditions in Polk County, Florida, commonly end at the boundaries of two water management districts (South Florida Water Management District and the Southwest Florida Water Management District), which makes it difficult for managers to determine conditions throughout the county. The last comprehensive water-resources assessment of Polk County was published almost 40 years ago. To address the need for current countywide information, the U.S. Geological Survey began a 3?-year study in 2002 to update information about hydrologic and water-quality conditions in Polk County and identify changes that have occurred. Ground-water use in Polk County has decreased substantially since 1965. In 1965, total ground-water withdrawals in the county were about 350 million gallons per day. In 2002, withdrawals totaled about 285 million gallons per day, of which nearly 95 percent was from the Floridan aquifer system. Water-conservation practices mainly related to the phosphate-mining industry as well as the decrease in the number of mines in operation in Polk County have reduced total water use by about 65 million gallons per day since 1965. Polk County is underlain by three principal hydrogeologic units. The uppermost water-bearing unit is the surficial aquifer system, which is unconfined and composed primarily of clastic deposits. The surficial aquifer system is underlain by the intermediate confining unit, which grades into the intermediate aquifer system and consists of up to two water-bearing zones composed of interbedded clastic and carbonate rocks. The lowermost hydrogeologic unit is the Floridan aquifer system. The Floridan aquifer system, a thick sequence of permeable limestone and dolostone, consists of the Upper Floridan aquifer, a middle semiconfining unit, a middle confining unit, and the Lower Floridan aquifer. The Upper Floridan aquifer provides most of the water required to meet demand in Polk County. Data from about 300 geophysical and geologic logs were used to construct hydrogeologic maps showing the tops and thicknesses of the aquifers and confining units within Polk County. Thickness of the surficial aquifer system ranges from several feet thick or less in the extreme northwestern part of the county and along parts of the Peace River south of Bartow to more than 200 feet along the southern part of the Lake Wales Ridge in eastern Polk County. Thickness of the intermediate aquifer system/intermediate confining unit is highly variable throughout the county because of past erosional processes and sinkhole formation. Thickness of the unit ranges from less than 25 feet in the extreme northwestern part of the county to more than 300 feet in southwestern Polk County. The altitude of the top of the Upper Floridan aquifer in the county ranges from about 50 feet above National Geodetic Vertical Datum of 1929 (NGVD 29) in the northwestern part to more than 250 feet below NGVD 29 in the southern part. Water levels in the Upper Floridan aquifer fluctuate seasonally, increasing during the wet season (June through September) and decreasing during the rest of the year. Water levels in the Upper Floridan aquifer also can change from year to year, depending on such factors as pumpage and climatic variations. In the southwestern part of the county, fluctuations in water use related to phosphate mining have had a major impact on ground-water levels. Hydrographs of selected wells in southwestern Polk County show a general decline in water levels that ended in the mid-1970s. This water-level decline coincides with an increase in water use associated with phosphate mining. A substantial increase in water levels that began in the mid-1970s coincides with a period of decreasing water use in the county. Despite reductions in water use since 1970, howev

Forecasting United States heartworm Dirofilaria immitis prevalence in dogs.

PubMed

Bowman, Dwight D; Liu, Yan; McMahan, Christopher S; Nordone, Shila K; Yabsley, Michael J; Lund, Robert B

2016-10-10

This paper forecasts next year's canine heartworm prevalence in the United States from 16 climate, geographic and societal factors. The forecast's construction and an assessment of its performance are described. The forecast is based on a spatial-temporal conditional autoregressive model fitted to over 31 million antigen heartworm tests conducted in the 48 contiguous United States during 2011-2015. The forecast uses county-level data on 16 predictive factors, including temperature, precipitation, median household income, local forest and surface water coverage, and presence/absence of eight mosquito species. Non-static factors are extrapolated into the forthcoming year with various statistical methods. The fitted model and factor extrapolations are used to estimate next year's regional prevalence. The correlation between the observed and model-estimated county-by-county heartworm prevalence for the 5-year period 2011-2015 is 0.727, demonstrating reasonable model accuracy. The correlation between 2015 observed and forecasted county-by-county heartworm prevalence is 0.940, demonstrating significant skill and showing that heartworm prevalence can be forecasted reasonably accurately. The forecast presented herein can a priori alert veterinarians to areas expected to see higher than normal heartworm activity. The proposed methods may prove useful for forecasting other diseases.

Geospatial Association between Low Birth Weight and Arsenic in Groundwater in New Hampshire, USA

PubMed Central

Shi, Xun; Ayotte, Joseph D.; Onda, Akikazu; Miller, Stephanie; Rees, Judy; Gilbert-Diamond, Diane; Onega, Tracy; Gui, Jiang; Karagas, Margaret; Moeschler, John

2015-01-01

Background There is increasing evidence of the role of arsenic in the etiology of adverse human reproductive outcomes. Since drinking water can be a major source of arsenic to pregnant women, the effect of arsenic exposure through drinking water on human birth may be revealed by a geospatial association between arsenic concentration in groundwater and birth problems, particularly in a region where private wells substantially account for water supply, like New Hampshire, US. Methods We calculated town-level rates of preterm birth and term low birth weight (term LBW) for New Hampshire, using data for 1997-2009 and stratified by maternal age. We smoothed the rates using a locally-weighted averaging method to increase the statistical stability. The town-level groundwater arsenic values are from three GIS data layers generated by the US Geological Survey: probability of local groundwater arsenic concentration > 1 μg/L, probability > 5 μg/L, and probability > 10 μg/L. We calculated Pearson's correlation coefficients (r) between the reproductive outcomes (preterm birth and term LBW) and the arsenic values, at both state and county levels. Results For preterm birth, younger mothers (maternal age < 20) have a statewide r = 0.70 between the rates smoothed with a threshold = 2,000 births and the town mean arsenic level based on the data of probability > 10 μg/L; For older mothers, r = 0.19 when the smoothing threshold = 3,500; A majority of county level r values are positive based on the arsenic data of probability > 10 μg/L. For term LBW, younger mothers (maternal age < 25) have a statewide r = 0.44 between the rates smoothed with a threshold = 3,500 and town minimum arsenic level based on the data of probability > 1 μg/L; For older mothers, r = 0.14 when the rates are smoothed with a threshold = 1,000 births and also adjusted by town median household income in 1999, and the arsenic values are the town minimum based on probability > 10 μg/L. At the county level, for younger mothers positive r values prevail, but for older mothers it is a mix. For both birth problems, the several most populous counties - with 60-80% of the state's population and clustering at the southwest corner of the state – are largely consistent in having a positive r across different smoothing thresholds. Conclusion We found evident spatial associations between the two adverse human reproductive outcomes and groundwater arsenic in New Hampshire, US. However, the degree of associations and their sensitivity to different representations of arsenic level are variable. Generally, preterm birth has a stronger spatial association with groundwater arsenic than term LBW, suggesting an inconsistency in the impact of arsenic on the two reproductive outcomes. For both outcomes, younger maternal age has stronger spatial associations with groundwater arsenic. PMID:25326895

A Spatial Analysis of County-level Variation in Syphilis and Gonorrhea in Guangdong Province, China

PubMed Central

Tan, Nicholas X.; Messina, Jane P.; Yang, Li-Gang; Yang, Bin; Emch, Michael; Chen, Xiang-Sheng; Cohen, Myron S.; Tucker, Joseph D.

2011-01-01

Background Sexually transmitted infections (STI) have made a resurgence in many rapidly developing regions of southern China, but there is little understanding of the social changes that contribute to this spatial distribution of STI. This study examines county-level socio-demographic characteristics associated with syphilis and gonorrhea in Guangdong Province. Methods/Principal Findings This study uses linear regression and spatial lag regression to determine county-level (n = 97) socio-demographic characteristics associated with a greater burden of syphilis, gonorrhea, and a combined syphilis/gonorrhea index. Data were obtained from the 2005 China Population Census and published public health data. A range of socio-demographic variables including gross domestic product, the Gender Empowerment Measure, standard of living, education level, migrant population and employment are examined. Reported syphilis and gonorrhea cases are disproportionately clustered in the Pearl River Delta, the central region of Guangdong Province. A higher fraction of employed men among the adult population, higher fraction of divorced men among the adult population, and higher standard of living (based on water availability and people per room) are significantly associated with higher STI cases across all three models. Gross domestic product and gender inequality measures are not significant predictors of reported STI in these models. Conclusions/Significance Although many ecological studies of STIs have found poverty to be associated with higher reported STI, this analysis found a greater number of reported syphilis cases in counties with a higher standard of living. Spatially targeted syphilis screening measures in regions with a higher standard of living may facilitate successful control efforts. This analysis also reinforces the importance of changing male sexual behaviors as part of a comprehensive response to syphilis control in China. PMID:21573127

Testing use of payers to facilitate evidence-based practice adoption: protocol for a cluster-randomized trial

PubMed Central

2013-01-01

Background More effective methods are needed to implement evidence-based findings into practice. The Advancing Recovery Framework offers a multi-level approach to evidence-based practice implementation by aligning purchasing and regulatory policies at the payer level with organizational change strategies at the organizational level. Methods The Advancing Recovery Buprenorphine Implementation Study is a cluster-randomized controlled trial designed to increase use of the evidence-based practice buprenorphine medication to treat opiate addiction. Ohio Alcohol, Drug Addiction, and Mental Health Services Boards (ADAMHS), who are payers, and their addiction treatment organizations were recruited for a trial to assess the effects of payer and treatment organization changes (using the Advancing Recovery Framework) versus treatment organization changes alone on the use of buprenorphine. A matched-pair randomization, based on county characteristics, was applied, resulting in seven county ADAMHS boards and twenty-five treatment organizations in each arm. Opioid dependent patients are nested within cluster (treatment organization), and treatment organization clusters are nested within ADAMHS county board. The primary outcome is the percentage of individuals with an opioid dependence diagnosis who use buprenorphine during the 24-month intervention period and the 12-month sustainability period. The trial is currently in the baseline data collection stage. Discussion Although addiction treatment providers are under increasing pressure to implement evidence-based practices that have been proven to improve patient outcomes, adoption of these practices lags, compared to other areas of healthcare. Reasons frequently cited for the slow adoption of EBPs in addiction treatment include, regulatory issues, staff, or client resistance and lack of resources. Yet the way addiction treatment is funded, the payer’s role—has not received a lot of attention in research on EBP adoption. This research is unique because it investigates the role of payers in evidence-based practice implementation using a randomized controlled design instead of case examples. The testing of the Advancing Recovery Framework is designed to broaden the understanding of the impact payers have on evidence-based practice (EBP) adoption. Trial registration http://NCT01702142 (ClinicalTrials.gov registry, USA) PMID:23663749

Has reducing fine particulate matter and ozone caused reduced mortality rates in the United States?

PubMed

Cox, Louis Anthony Tony; Popken, Douglas A

2015-03-01

Between 2000 and 2010, air pollutant levels in counties throughout the United States changed significantly, with fine particulate matter (PM2.5) declining over 30% in some counties and ozone (O3) exhibiting large variations from year to year. This history provides an opportunity to compare county-level changes in average annual ambient pollutant levels to corresponding changes in all-cause (AC) and cardiovascular disease (CVD) mortality rates over the course of a decade. Past studies have demonstrated associations and subsequently either interpreted associations causally or relied on subjective judgments to infer causation. This article applies more quantitative methods to assess causality. This article examines data from these "natural experiments" of changing pollutant levels for 483 counties in the 15 most populated US states using quantitative methods for causal hypothesis testing, such as conditional independence and Granger causality tests. We assessed whether changes in historical pollution levels helped to predict and explain changes in CVD and AC mortality rates. A causal relation between pollutant concentrations and AC or CVD mortality rates cannot be inferred from these historical data, although a statistical association between them is well supported. There were no significant positive associations between changes in PM2.5 or O3 levels and corresponding changes in disease mortality rates between 2000 and 2010, nor for shorter time intervals of 1 to 3 years. These findings suggest that predicted substantial human longevity benefits resulting from reducing PM2.5 and O3 may not occur or may be smaller than previously estimated. Our results highlight the potential for heterogeneity in air pollution health effects across regions, and the high potential value of accountability research comparing model-based predictions of health benefits from reducing air pollutants to historical records of what actually occurred. Copyright © 2015 Elsevier Inc. All rights reserved.

Elevation of southwest side with graduated pole, showing the tower ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Elevation of southwest side with graduated pole, showing the tower in the foreground, note the enclosed stairwell to the basement level on the right, view facing northeast - U.S. Naval Base, Pearl Harbor, Naval Radio Station, Operations Building, Wahiawa, Honolulu County, HI

51. BF corridor, (example of older building meeting with new ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

51. BF corridor, (example of older building meeting with new building addition) from outside room BF-6, basement level, building 500, looking south - Offutt Air Force Base, Strategic Air Command Headquarters & Command Center, Headquarters Building, 901 SAC Boulevard, Bellevue, Sarpy County, NE

29. VIEW OF SUBMARINE ESCAPE TRAINING TANK DURING CONSTRUCTION AT ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

29. VIEW OF SUBMARINE ESCAPE TRAINING TANK DURING CONSTRUCTION AT POINT JUST ABOVE THE SUBMARINE SECTION AT THE 110-FOOT LEVEL 1929-1930 - U.S. Naval Submarine Base, New London Submarine Escape Training Tank, Albacore & Darter Roads, Groton, New London County, CT

A Pilot Study to Examine Exposure to Residential Radon in Under-Sampled Census Tracts of DeKalb County, Georgia, in 2015.

PubMed

Stauber, Christine E; Dai, Dajun; Chan, Sydney R; Diem, Jeremy E; Weaver, Scott R; Rothenberg, Richard

2017-03-22

While DeKalb County, Georgia, offers free radon screening for all eligible residents, portions of the county remain relatively under-sampled. This pilot study focused on 10% of the census tracts in the county with the lowest proportion of radon testing; most were in southern DeKalb County. In total, 217 households were recruited and homes were tested for indoor radon concentrations on the lowest livable floor over an eight-week period from March-May 2015. Tract-level characteristics were examined to understand the differences in socio-demographic and economic factors between the pilot study area and the rest of the county. The pilot study tracts had a higher proportion of African Americans compared to the rest of DeKalb County (82% versus 47%). Radon was detected above 11.1 Bq/m³ (0.3 pCi/L) in 73% of the indoor samples and 4% of samples were above 148 Bq/m³ (4 pCi/L). Having a basement was the strongest predictive factor for detectable and hazardous levels of radon. Radon screening can identify problems and spur homeowners to remediate but more research should be done to identify why screening rates vary across the county and how that varies with radon levels in homes to reduce radon exposure.

A Pilot Study to Examine Exposure to Residential Radon in Under-Sampled Census Tracts of DeKalb County, Georgia, in 2015

PubMed Central

Stauber, Christine E.; Dai, Dajun; Chan, Sydney R.; Diem, Jeremy E.; Weaver, Scott R.; Rothenberg, Richard

2017-01-01

While DeKalb County, Georgia, offers free radon screening for all eligible residents, portions of the county remain relatively under-sampled. This pilot study focused on 10% of the census tracts in the county with the lowest proportion of radon testing; most were in southern DeKalb County. In total, 217 households were recruited and homes were tested for indoor radon concentrations on the lowest livable floor over an eight-week period from March–May 2015. Tract-level characteristics were examined to understand the differences in socio-demographic and economic factors between the pilot study area and the rest of the county. The pilot study tracts had a higher proportion of African Americans compared to the rest of DeKalb County (82% versus 47%). Radon was detected above 11.1 Bq/m3 (0.3 pCi/L) in 73% of the indoor samples and 4% of samples were above 148 Bq/m3 (4 pCi/L). Having a basement was the strongest predictive factor for detectable and hazardous levels of radon. Radon screening can identify problems and spur homeowners to remediate but more research should be done to identify why screening rates vary across the county and how that varies with radon levels in homes to reduce radon exposure. PMID:28327511

Simulation of the Groundwater-Flow System in Pierce, Polk, and St. Croix Counties, Wisconsin

USGS Publications Warehouse

Juckem, Paul F.

2009-01-01

Groundwater is the sole source of residential water supply in Pierce, Polk, and St. Croix Counties, Wisconsin. A regional three-dimensional groundwater-flow model and three associated demonstration inset models were developed to simulate the groundwater-flow systems in the three-county area. The models were developed by the U.S. Geological Survey in cooperation with the three county governments. The objectives of the regional model of Pierce, Polk, and St. Croix Counties were to improve understanding of the groundwaterflow system and to develop a tool suitable for evaluating the effects of potential water-management programs. The regional groundwater-flow model described in this report simulates the major hydrogeologic features of the modeled area, including bedrock and surficial aquifers, groundwater/surface-water interactions, and groundwater withdrawals from high-capacity wells. Results from the regional model indicate that about 82 percent of groundwater in the three counties is from recharge within the counties; 15 percent is from surface-water sources, consisting primarily of recirculated groundwater seepage in areas with abrupt surface-water-level changes, such as near waterfalls, dams, and the downgradient side of reservoirs and lakes; and 4 percent is from inflow across the county boundaries. Groundwater flow out of the counties is to streams (85 percent), outflow across county boundaries (14 percent), and pumping wells (1 percent). These results demonstrate that the primary source of groundwater withdrawn by pumping wells is water that recharges within the counties and would otherwise discharge to local streams and lakes. Under current conditions, the St. Croix and Mississippi Rivers are groundwater discharge locations (gaining reaches) and appear to function as 'fully penetrating' hydraulic boundaries such that groundwater does not cross between Wisconsin and Minnesota beneath them. Being hydraulic boundaries, however, they can change in response to water withdrawals. Tributary rivers act as 'partially penetrating' hydraulic boundaries such that groundwater can flow underneath them through the deep sandstone aquifers. The model also demonstrates the effects of development on groundwater in the study area. Water-level declines since predevelopment (no withdrawal wells) are most pronounced where pumping is greatest and flow between layered aquifers is impeded by confining units or faults. The maximum simulated water-level decline is about 40 feet in the deep Mount Simon aquifer below the city of Hudson, Wisconsin. Three inset models were extracted from the regional model to demonstrate the process and additional capabilities of the U.S. Geological Survey MODFLOW code. Although the inset models were designed to provide information about the groundwater-flow system, results from the inset models are presented for demonstration purposes only and are not sufficiently detailed or calibrated to be used for decisionmaking purposes without refinement. Simulation of groundwater/lake-water interaction around Twin Lakes near Roberts, in St. Croix County, Wisconsin, showed that groundwater represents approximately 5 to 20 percent of the overall lake-water budget. Groundwater-contributing areas to streams in western Pierce County are generally similar in size to the surface-water-contributing areas but do not necessarily correspond to the same land area. Transient streamflow simulations of Osceola Creek in Polk County demonstrate how stream base flow can be influenced not only by seasonal precipitation and recharge variability but also by systematic changes to the system, such as groundwater withdrawal from wells.

Groundwater-Quality Assessment, Pike County, Pennsylvania, 2007

USGS Publications Warehouse

Senior, Lisa A.

2009-01-01

Pike County, a 545 square-mile area in northeastern Pennsylvania, has experienced the largest relative population growth of any county in the state from 1990 to 2000 and its population is projected to grow substantially through 2025. This growing population may result in added dependence and stresses on water resources, including the potential to reduce the quantity and degrade the quality of groundwater and associated stream base flow with changing land use. Groundwater is the main source of drinking water in the county and is derived primarily from fractured-rock aquifers (shales, siltstones, and sandstones) and some unconsolidated glacial deposits that are recharged locally from precipitation. The principal land uses in the county as of 2005 were public, residential, agricultural, hunt club/private recreational, roads, and commercial. The public lands cover a third of the county and include national park, state park, and other state lands, much of which are forested. Individual on-site wells and wastewater disposal are common in many residential areas. In 2007, the U.S. Geological Survey, in cooperation with the Pike County Conservation District, began a study to provide current information on groundwater quality throughout the county that will be helpful for water-resource planning. The countywide reconnaissance assessment of groundwater quality documents current conditions with existing land uses and may serve as a baseline of groundwater quality for future comparison. Twenty wells were sampled in 2007 throughout Pike County to represent groundwater quality in the principal land uses (commercial, high-density and moderate-density residential with on-site wastewater disposal, residential in a sewered area, pre-development, and undeveloped) and geologic units (five fractured-rock aquifers and one glacial unconsolidated aquifer). Analyses selected for the groundwater samples were intended to identify naturally occurring constituents from the aquifer or constituents introduced by human activities that pose a health risk or otherwise were of concern in groundwater in the county. The analyses included major ions, nutrients, selected trace metals, volatile organic compounds (VOCs), selected organic wastewater compounds, gross alpha-particle and gross beta-particle activity, uranium, and radon-222. Analyses of the 20 samples were primarily for dissolved constituents, but six samples were analyzed for both dissolved and total metals. Results of the 2007 sampling indicated few water-quality problems, although concentrations of some constituents indicated influence of human activities on groundwater. No constituent analyzed exceeded any primary drinking-water standard or maximum contaminant level (MCL) established by the U.S. Environmental Protection Agency. Radon-222 levels were greater than, or equal to, the proposed MCL of 300 picocuries per liter (pCi/L) in water from 15 (75 percent) of the 20 wells. Radon-222 levels did not exceed the alternative MCL of 4,000 pCi/L in any groundwater sample. Radon-222 is naturally occurring, and the greatest concentrations (up to 2,650 pCi/L) were in water samples from wells in members of the Catskill Formation, a fractured-rock aquifer. The dissolved arsenic concentration of 3.9 micrograms per liter (ug/L) in one sample was greater than the health-advisory (HA) level of 2 ug/L but less than the MCL of 10 ug/L. Recommended or secondary maximum contaminant levels (SMCLs) were exceeded for pH, dissolved iron, and dissolved manganese. In six samples analyzed for dissolved and total concentrations of selected metals, total concentrations commonly were much greater than dissolved concentrations of iron, and to a lesser degree, for arsenic, lead, copper, and manganese. Concentrations of iron above the SMCL of 300 ug/L may be more widespread in the county for particulate iron than for dissolved iron. The total arsenic concentration in one of the six samples was greater than the HA level of

Analyzing the impact of public transit usage on obesity.

PubMed

She, Zhaowei; King, Douglas M; Jacobson, Sheldon H

2017-06-01

The objective of this paper is to estimate the impact of county-level public transit usage on obesity prevalence in the United States and assess the potential for public transit usage as an intervention for obesity. This study adopts an instrumental regression approach to implicitly control for potential selection bias due to possible differences in commuting preferences among obese and non-obese populations. United States health data from the 2009 Behavioral Risk Factor Surveillance System and transportation data from the 2009 National Household Travel Survey are aggregated and matched at the county level. County-level public transit accessibility and vehicle ownership rates are chosen as instrumental variables to implicitly control for unobservable commuting preferences. The results of this instrumental regression analysis suggest that a one percent increase in county population usage of public transit is associated with a 0.221 percent decrease in county population obesity prevalence at the α=0.01 statistical significance level, when commuting preferences, amount of non-travel physical activity, education level, health resource, and distribution of income are fixed. Hence, this study provides empirical support for the effectiveness of encouraging public transit usage as an intervention strategy for obesity. Copyright © 2017 Elsevier Inc. All rights reserved.

Three Collaborative Models for Scaling Up Evidence-Based Practices

PubMed Central

Roberts, Rosemarie; Jones, Helen; Marsenich, Lynne; Sosna, Todd; Price, Joseph M.

2015-01-01

The current paper describes three models of research-practice collaboration to scale-up evidence-based practices (EBP): (1) the Rolling Cohort model in England, (2) the Cascading Dissemination model in San Diego County, and (3) the Community Development Team model in 53 California and Ohio counties. Multidimensional Treatment Foster Care (MTFC) and KEEP are the focal evidence-based practices that are designed to improve outcomes for children and families in the child welfare, juvenile justice, and mental health systems. The three scale-up models each originated from collaboration between community partners and researchers with the shared goal of wide-spread implementation and sustainability of MTFC/KEEP. The three models were implemented in a variety of contexts; Rolling Cohort was implemented nationally, Cascading Dissemination was implemented within one county, and Community Development Team was targeted at the state level. The current paper presents an overview of the development of each model, the policy frameworks in which they are embedded, system challenges encountered during scale-up, and lessons learned. Common elements of successful scale-up efforts, barriers to success, factors relating to enduring practice relationships, and future research directions are discussed. PMID:21484449

Examining the Impact of Art-Based Anchor Charts on Academic Achievement in Language Arts

ERIC Educational Resources Information Center

Fontanez, Kimberly

2017-01-01

The students at 2 middle schools in County SD, NHMS and WMS are not scoring on or above grade level on the information text portion of the English Language Arts (ELA) standardized SC Palmetto Assessment of State Standards (SCPASS) test given annually in South Carolina. The teachers developed and implemented art-based anchor charts to help close…

Impact of Income Inequality on the Nation's Health.

PubMed

López, Diego B; Loehrer, Andrew P; Chang, David C

2016-10-01

Income inequality in the United States has been increasing in recent decades. It is unclear whether income inequality has an independent effect on health outcomes, or whether it simply correlates with increasing levels of poverty. The goal of this study was to evaluate whether income inequality is significantly associated with US county health care expenditures and health care use. Cross-sectional analysis of county health expenditure data from the Health Resources and Services Administration's Area Resources File, county income inequality measures (Gini coefficient) from the Census' American Community Survey, and estimates of potentially preventable admissions and potentially discretionary procedures from the Nationwide Inpatient Sample (1998 to 2011). Datasets were linked via county Federal Information Processing Standard codes. Multivariable linear and Poisson regression analyses were performed at the county level adjusting for county characteristics. A total of 1,237 counties (of 3,144) were included. Income inequality was associated with higher health care expenditures, with each 1 percentage-point increase in county Gini coefficient associated with a US$40,008 increase in annual county Medicare cost (p = 0.003), and an increase of 174.7 total county Medicare inpatient days per year (p < 0.001). Even after accounting for poverty level and county characteristics, counties with higher inequality had higher potentially preventable admission (eg 4.86 rate ratio for low-birth-weight hospital admissions in the top income inequality quartile compared with bottom quartile; p < 0.001) and a higher incidence of potentially discretionary procedures (eg 1.79 rate ratio for prostatectomy for benign prostatic hyperplasia in the top income inequality quartile compared with bottom quartile; p < 0.001). Income inequality is independently associated with higher health care expenditures and more health care use, with increases in both potentially discretionary procedures and in potentially preventable admissions. Copyright © 2016 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

A Determination of the Change in Dietary Levels of Families Participating in the Expanded Foods and Nutrition Program in Choctaw County, Mississippi.

ERIC Educational Resources Information Center

Walton, Billy Doyle

The purpose of this study was to determine changes made in the dietary levels of families participating in the Expanded Foods and Nutrition Program in Choctaw County, Mississippi. The educational work was done by county professionals who were trained by the home economist and who then taught the homemakers through individual home visits. Data were…

Regional inequity in financing New Cooperative Medical Scheme in Jiangsu, China.

PubMed

Dai, Baozhen; Zhou, Lulin; Mei, Y John; Zhan, Changchun

2014-01-01

This study examined the regional inequity in the New Cooperative Medical Scheme (NCMS) financing in Jiangsu, China. Counties were classified into three categories according to socio-economic development level: South Jiangsu, Middle Jiangsu and North Jiangsu. Five counties (Changshu, Danyang, Gaoyou, Jiangyan and Ganyu) were selected on the basis of the following criteria: (i) NCMS had been implemented before 2005; (ii) county governments were willing and able to collaborate with the research team; and (iii) counties had different socio-economic development status representing the low, medium and high level of socio-economic development in Jiangsu. As shown in this study, local governments in Jiangsu took the major NCMS financing responsibilities (75.2% in 2009), and local governments (county and lower) subsidies ranged from 220 RMB per capita in South Jiangsu to 18 RMB per capita in North Jiangsu in 2009, with a larger contribution (73.3%) in South than that in Middle (40.0%) and North Jiangsu (18.0%). For achieving more equity in NCMS financing and carrying NCMS forward, we propose that provincial and municipal governments should increase their contribution to NCMS for balancing the regional inequity in subsidies from county and lower-level governments, and the risk pool of NCMS should be promoted to a higher level (e.g., provincial). Copyright © 2013 John Wiley & Sons, Ltd.

Local Public Health Systems and the Incidence of Sexually Transmitted Diseases

PubMed Central

Chen, Jie; Owusu-Edusei, Kwame; Suh, Allen; Bekemeier, Betty

2012-01-01

Objectives. We examined the associations of local public health system organization and local health department resources with county-level sexually transmitted disease (STD) incidence rates in large US health jurisdictions. Methods. We linked annual county STD incidence data (2005–2008) to local health department director responses (n = 211) to the 2006 wave of the National Longitudinal Study of Local Public Health Systems, the 2005 national Local Health Department Profile Survey, and the Area Resource File. We used nested mixed effects regression models to assess the relative contribution of local public health system organization, local health department financial and resource factors, and sociodemographic factors known to be associated with STD incidence to county-level (n = 307) STD incidence. Results. Jurisdictions with local governing boards had significantly lower county-level STD incidence. Local public health systems with comprehensive services where local health departments shoulder much of the effort had higher county-level STD rates than did conventional systems. Conclusions. More integration of system partners in local public health system activities, through governance and interorganizational arrangements, may reduce the incidence and burden of STDs. PMID:22813090

The National Children's Study: Recruitment Outcomes Using the Provider-Based Recruitment Approach.

PubMed

Hale, Daniel E; Wyatt, Sharon B; Buka, Stephen; Cherry, Debra; Cislo, Kendall K; Dudley, Donald J; McElfish, Pearl Anna; Norman, Gwendolyn S; Reynolds, Simone A; Siega-Riz, Anna Maria; Wadlinger, Sandra; Walker, Cheryl K; Robbins, James M

2016-06-01

In 2009, the National Children's Study (NCS) Vanguard Study tested the feasibility of household-based recruitment and participant enrollment using a birth-rate probability sample. In 2010, the NCS Program Office launched 3 additional recruitment approaches. We tested whether provider-based recruitment could improve recruitment outcomes compared with household-based recruitment. The NCS aimed to recruit 18- to 49-year-old women who were pregnant or at risk for becoming pregnant who lived in designated geographic segments within primary sampling units, generally counties. Using provider-based recruitment, 10 study centers engaged providers to enroll eligible participants at their practice. Recruitment models used different levels of provider engagement (full, intermediate, information-only). The percentage of eligible women per county ranged from 1.5% to 57.3%. Across the centers, 3371 potential participants were approached for screening, 3459 (92%) were screened and 1479 were eligible (43%). Of those 1181 (80.0%) gave consent and 1008 (94%) were retained until delivery. Recruited participants were generally representative of the county population. Provider-based recruitment was successful in recruiting NCS participants. Challenges included time-intensity of engaging the clinical practices, differential willingness of providers to participate, and necessary reliance on providers for participant identification. The vast majority of practices cooperated to some degree. Recruitment from obstetric practices is an effective means of obtaining a representative sample. Copyright © 2016 by the American Academy of Pediatrics.

The National Children’s Study: Recruitment Outcomes Using the Provider-Based Recruitment Approach

PubMed Central

Wyatt, Sharon B.; Buka, Stephen; Cherry, Debra; Cislo, Kendall K.; Dudley, Donald J.; McElfish, Pearl Anna; Norman, Gwendolyn S.; Reynolds, Simone A.; Siega-Riz, Anna Maria; Wadlinger, Sandra; Walker, Cheryl K.; Robbins, James M.

2016-01-01

OBJECTIVE: In 2009, the National Children’s Study (NCS) Vanguard Study tested the feasibility of household-based recruitment and participant enrollment using a birth-rate probability sample. In 2010, the NCS Program Office launched 3 additional recruitment approaches. We tested whether provider-based recruitment could improve recruitment outcomes compared with household-based recruitment. METHODS: The NCS aimed to recruit 18- to 49-year-old women who were pregnant or at risk for becoming pregnant who lived in designated geographic segments within primary sampling units, generally counties. Using provider-based recruitment, 10 study centers engaged providers to enroll eligible participants at their practice. Recruitment models used different levels of provider engagement (full, intermediate, information-only). RESULTS: The percentage of eligible women per county ranged from 1.5% to 57.3%. Across the centers, 3371 potential participants were approached for screening, 3459 (92%) were screened and 1479 were eligible (43%). Of those 1181 (80.0%) gave consent and 1008 (94%) were retained until delivery. Recruited participants were generally representative of the county population. CONCLUSIONS: Provider-based recruitment was successful in recruiting NCS participants. Challenges included time-intensity of engaging the clinical practices, differential willingness of providers to participate, and necessary reliance on providers for participant identification. The vast majority of practices cooperated to some degree. Recruitment from obstetric practices is an effective means of obtaining a representative sample. PMID:27251870

A snapshot evaluation of stream environmental quality in the Little Conestoga Creek basin, Lancaster County, Pennsylvania

USGS Publications Warehouse

Loper, Connie A.; Davis, Ryan C.

1998-01-01

Many Lancaster County residents are interested in stream monitoring and habitat restoration to maintain or improve stream water quality and to keep contaminants from reaching ground water used to supply drinking water. To promote resident involvement and environmental stewardship, the Alliance for the Chesapeake Bay (ACB) and the U.S. Geological Survey (USGS) designed this “snapshot” study of water quality and aquatic-insect communities in the Little Conestoga Creek Basin. Citizen-based restoration programs can improve water quality at a local level; such efforts will ultimately improve the ecological integrity of the Lower Susquehanna River and the Chesapeake Bay.The Little Conestoga Creek Basin was studied for several reasons. It was felt the project should benefit Lancaster County residents because funding was provided by Pennsylvania Department of Environmental Protection funds generated in Lancaster County. The small drainage area size, 65.5 mi2 (square miles), allowed resident involvement in the necessary training and the snapshot sampling plan. Also, a previous study within south-central Pennsylvania reported the highest nutrient yields entering the Susquehanna River are contributed by the Conestoga River and its tributary subbasins, and the Basin’s location within the Conestoga River watershed made it a potential contributor of high nutrient loads. However, few data had been collected in this Basin to characterize the water quality and aquatic-insect populations. Ongoing studies by a “stream team” from Lancaster County Academy and by students and staff at Millersville University did not fully document the level of stream impairment throughout the Basin.

VIEW OF THIRD LEVEL OF MISSILE LAB (SECOND FLOOR OF ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

VIEW OF THIRD LEVEL OF MISSILE LAB (SECOND FLOOR OF BUILDING) SHOWING MISSILE TUBE IN CENTER WITH OPEN HATCH AT RIGHT. VIEW FACING NORTHEAST - U.S. Naval Base, Pearl Harbor, Ford Island Polaris Missile Lab & U.S. Fleet Ballistic Missile Submarine Training Center, Between Lexington Boulvevard and the sea plane ramps on the southwest side of Ford Island, Pearl City, Honolulu County, HI

Combining area-based and individual-level data in the geostatistical mapping of late-stage cancer incidence.

PubMed

Goovaerts, Pierre

2009-01-01

This paper presents a geostatistical approach to incorporate individual-level data (e.g. patient residences) and area-based data (e.g. rates recorded at census tract level) into the mapping of late-stage cancer incidence, with an application to breast cancer in three Michigan counties. Spatial trends in cancer incidence are first estimated from census data using area-to-point binomial kriging. This prior model is then updated using indicator kriging and individual-level data. Simulation studies demonstrate the benefits of this two-step approach over methods (kernel density estimation and indicator kriging) that process only residence data.

Access to Primary Care in US Counties Is Associated with Lower Obesity Rates.

PubMed

Gaglioti, Anne H; Petterson, Stephen; Bazemore, Andrew; Phillips, Robert

2016-01-01

Obesity causes substantial morbidity and mortality in the United States. Evidence shows that primary care physician (PCP) supply correlates positively with improved health, but its association with obesity in the United States as not been adequately characterized. Our purpose was to characterize the association between PCP supply in US counties and adult obesity. We performed a multivariate logistic regression analysis to examine the relationship between county-level PCP supply and individual obesity status. We controlled for individual variables, including sex, race, marital status, income, and insurance status, and county-level variables, including rurality and poverty. Higher county-level PCP supply was associated with lower adult obesity after controlling for common confounders. Individuals living in counties with the most robust PCP supply were about 20% less likely to be obese (P ≤ .01) than those living in counties with the lowest PCP supply. While the observed association between the supply of PCPs and lower rates of obesity may not be causal, the association warrants further investigation. This may have important implications for restructuring the physician workforce in the context of the current PCP shortage and implementation of the Affordable Care Act and the patient-centered medical home. © Copyright 2016 by the American Board of Family Medicine.

Water-level trends and potentiometric surfaces in the Nacatoch Aquifer in northeastern and southwestern Arkansas and in the Tokio Aquifer in southwestern Arkansas, 2014–15

USGS Publications Warehouse

Rodgers, Kirk D.

2017-09-20

The Nacatoch Sand in northeastern and southwestern Arkansas and the Tokio Formation in southwestern Arkansas are sources of groundwater for agricultural, domestic, industrial, and public use. Water-level altitudes measured in 51 wells completed in the Nacatoch Sand and 42 wells completed in the Tokio Formation during 2014 and 2015 were used to create potentiometric-surface maps of the two areas. Aquifers in the Nacatoch Sand and Tokio Formation are hereafter referred to as the Nacatoch aquifer and the Tokio aquifer, respectively.Potentiometric surfaces show that groundwater in the Nacatoch aquifer flows southeast toward the Mississippi River in northeastern Arkansas. Groundwater flow direction is towards the south and southeast in Hempstead, Little River, and Nevada Counties in southwestern Arkansas. An apparent cone of depression exists in southern Clark County and likely alters groundwater flow from a regional direction toward the depression.In southwestern Arkansas, potentiometric surfaces indicate that groundwater flow in the Tokio aquifer is towards the city of Hope. Northwest of Hope, an apparent cone of depression exists. In southwestern Pike, northwestern Nevada, and northeastern Hempstead Counties, an area of artesian flow (water levels are at or above land surface) exists.Water-level changes in wells were identified using two methods: (1) linear regression analysis of hydrographs from select wells with a minimum of 20 years of water-level data, and (2) a direct comparison between water-level measurements from 2008 and 2014–15 at each well. Of the six hydrographs analyzed in the Nacatoch aquifer, four indicated a decline in water levels. Compared to 2008 measurements, the largest rise in water levels was 35.14 feet (ft) in a well in Clark County, whereas the largest decline was 14.76 ft in a well in Nevada County, both located in southwestern Arkansas.Of the four hydrographs analyzed in the Tokio aquifer, one indicated a decline in water levels, while the others remained relatively unchanged. Compared to 2008 measurements, the largest rise in water levels was 21.34 ft in Hempstead County, and the largest water-level decline was 39.37 ft in Clark County. Although changes in water levels since 2008 are spatially varied; long-term trends indicate an overall decline in water levels in both aquifers.

Countervailing effects of income, air pollution, smoking, and obesity on aging and life expectancy: population-based study of U.S. Counties.

PubMed

Allen, Ryan T; Hales, Nicholas M; Baccarelli, Andrea; Jerrett, Michael; Ezzati, Majid; Dockery, Douglas W; Pope, C Arden

2016-08-12

Income, air pollution, obesity, and smoking are primary factors associated with human health and longevity in population-based studies. These four factors may have countervailing impacts on longevity. This analysis investigates longevity trade-offs between air pollution and income, and explores how relative effects of income and air pollution on human longevity are potentially influenced by accounting for smoking and obesity. County-level data from 2,996 U.S. counties were analyzed in a cross-sectional analysis to investigate relationships between longevity and the four factors of interest: air pollution (mean 1999-2008 PM2.5), median income, smoking, and obesity. Two longevity measures were used: life expectancy (LE) and an exceptional aging (EA) index. Linear regression, generalized additive regression models, and bivariate thin-plate smoothing splines were used to estimate the benefits of living in counties with higher incomes or lower PM2.5. Models were estimated with and without controls for smoking, obesity, and other factors. Models which account for smoking and obesity result in substantially smaller estimates of the effects of income and pollution on longevity. Linear regression models without these two variables estimate that a $1,000 increase in median income (1 μg/m(3) decrease in PM2.5) corresponds to a 27.39 (33.68) increase in EA and a 0.14 (0.12) increase in LE, whereas models that control for smoking and obesity estimate only a 12.32 (20.22) increase in EA and a 0.07 (0.05) increase in LE. Nonlinear models and thin-plate smoothing splines also illustrate that, at higher levels of income, the relative benefits of the income-pollution tradeoff changed-the benefit of higher incomes diminished relative to the benefit of lower air pollution exposure. Higher incomes and lower levels of air pollution both correspond with increased human longevity. Adjusting for smoking and obesity reduces estimates of the benefits of higher income and lower air pollution exposure. This adjustment also alters the tradeoff between income and pollution: increases in income become less beneficial relative to a fixed reduction in air pollution-especially at higher levels of income.

County and organizational predictors of depression symptoms among low-income nursing assistants in the USA.

PubMed

Muntaner, Carles; Li, Yong; Xue, Xiaonan; Thompson, Theresa; Chung, Haejoo; O'Campo, Patricia

2006-09-01

Low-wage workers represent an ever-increasing proportion of the US workforce. A wide spectrum of firms demand low-wage workers, yet just 10 industries account for 70% of all low-paying jobs. The bulk of these jobs are in the services and retail sales industries. In health services, 60% of all workers are low-paid, with nursing aides, orderlies, personal attendants, and home care aides earning an average hourly wage of just 7.97 US dollars--a wage that keeps many of these workers hovering near or below the poverty line. Nursing assistants also tend to work in hazardous and grueling conditions. Work conditions are an important determinant of psychological well-being and mental disorders, particularly depression, in the workplace have important consequences for quality of life, worker productivity, and the utilization and cost of health care. In empirical studies of low-wage workers, county-level variables are of theoretical significance. Multilevel studies have recently provided evidence of a link between county-level variables and poor mental health among low-wage workers. To date, however, no studies have simultaneously considered the effect of county-and workplace-level variables. This study uses a repeated measures design and multilevel modeling to simultaneously test the effect of county-, organizational-, workplace-, and individual-level variables on depression symptoms among low-income nursing assistants employed in US nursing homes. We find that age and emotional strain have a statistically significant association with depression symptoms in this population, yet when controlling for county-level variables of poverty, the organizational-level variables used were no longer statistically significant predictors of depression symptoms. This study also contributes to current research methodology in the field of occupational health by using a cross-classified multilevel model to explicitly account for all variations in this three-level data structure, modeling and testing cross-classifications between nursing homes and counties of residence.

Geology-based method of assessing sensitivity of streams to acidic deposition in Charles and Anne Arundel Counties, Maryland

USGS Publications Warehouse

Rice, Karen C.; Bricker, Owen P.

1991-01-01

The report describes the results of a study to assess the sensitivity of streams to acidic deposition in Charles and Anne Arundel Counties, Maryland using a geology-based method. Water samples were collected from streams in July and August 1988 when streams were at base-flow conditions. Eighteen water samples collected from streams in Charles County, and 17 water samples from streams in Anne Arundel County were analyzed in the field for pH, specific conductance, and acid-neutralizing capacity (ANC); 8 water samples from streams in Charles County were analyzed in the laboratory for chloride and sulfate concentrations. The assessment revealed that streams in these counties are sensitive to acidification by acidic deposition.

A new method for estimating carbon dioxide emissions from transportation at fine spatial scales

PubMed Central

Shu, Yuqin; Reams, Margaret

2016-01-01

Detailed estimates of carbon dioxide (CO2) emissions at fine spatial scales are useful to both modelers and decision makers who are faced with the problem of global warming and climate change. Globally, transport related emissions of carbon dioxide are growing. This letter presents a new method based on the volume-preserving principle in the areal interpolation literature to disaggregate transportation-related CO2 emission estimates from the county-level scale to a 1 km2 grid scale. The proposed volume-preserving interpolation (VPI) method, together with the distance-decay principle, were used to derive emission weights for each grid based on its proximity to highways, roads, railroads, waterways, and airports. The total CO2 emission value summed from the grids within a county is made to be equal to the original county-level estimate, thus enforcing the volume-preserving property. The method was applied to downscale the transportation-related CO2 emission values by county (i.e. parish) for the state of Louisiana into 1 km2 grids. The results reveal a more realistic spatial pattern of CO2 emission from transportation, which can be used to identify the emission ‘hot spots’. Of the four highest transportation-related CO2 emission hotspots in Louisiana, high-emission grids literally covered the entire East Baton Rouge Parish and Orleans Parish, whereas CO2 emission in Jefferson Parish (New Orleans suburb) and Caddo Parish (city of Shreveport) were more unevenly distributed. We argue that the new method is sound in principle, flexible in practice, and the resultant estimates are more accurate than previous gridding approaches. PMID:26997973

12. DETAIL SHOWING EAST SIDE OF THE OXYGEN AND HYDROGEN ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

12. DETAIL SHOWING EAST SIDE OF THE OXYGEN AND HYDROGEN PRE-VALVE DECK (2ND LEVEL). Looking south. - Edwards Air Force Base, Air Force Rocket Propulsion Laboratory, Test Stand 1-A, Test Area 1-120, north end of Jupiter Boulevard, Boron, Kern County, CA

[Study on the fund to ensure the implementation of public function of province-level, city-level and county-level center of disease prevention and control in China].

PubMed

Chang, Feng-shui; Wang, Ying; Luo, Li; Sun, Mei

2005-11-01

To calculate the fund to ensure the implementation of public function of province-level, city-level and county-level center of disease prevention and control in China. The principle was to fulfill public function, promote professional efficiency and give a comprehensive attention to employee depletion. Basic data were collected by sample CDC investigation. Value of some special indicators was demonstrated by specialist group. Results To ensure the implementation of public function, a total of 15.7 billion Yen per year should be allocated to all province-level, city-level and county-level center of disease prevention and control. The personnel expenses was 8.4 billion Yen and the daily expenses was 7.4 billion Yen per year.

Water-level conditions in the Black Creek and upper Cape Fear aquifers, 1992, in parts of Bladen and Robeson counties, North Carolina

USGS Publications Warehouse

Strickland, Alfred Gerald

1994-01-01

Water-level measurements were made in 68 wells throughout an area of about 860 square miles in Bladen and Robeson Counties, North Carolina, during September and October 1992. Water levels from 58 wells were used to determine the configuration of the potentiometric surface of the Black Creek aquifer. A map of the potentiometric surface shows the potential for ground water to flow from recharge areas in the local uplands to discharge areas, such as local streams and wells. Pumping from wells at major pumping centers, such as Elizabethtown in Bladen County and Lumberton in Robeson County, where water-level declines of more than 12 feet were recorded from 1988 to 1992, has resulted in cones of depression in the potentiometric surface. The cones were about 4 and 6 miles long across the major axes beneath the Elizabethtown and Lumberton areas, respectively, in 1992. Water levels measured in eight wells in 1988 and 1992, supplemented with water levels in two additional wells from driller's well- construction records, were used to estimate average yearly rates of ground-water change for the upper Cape Fear aquifer for part of the study area. During 1988-92, water-level declines occurred in the aquifer throughout much of the area as a result of pumping. The greatest decline, an average of 4.1 feet per year, was in Bladen County.

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2014 CFR

2014-01-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2012 CFR

2012-01-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2013 CFR

2013-07-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2010 CFR

2010-07-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

41 CFR 102-173.60 - What is the naming convention for Counties or Parishes?

Code of Federal Regulations, 2011 CFR

2011-01-01

... TELECOMMUNICATIONS 173-INTERNET GOV DOMAIN Registration § 102-173.60 What is the naming convention for Counties or Parishes? (a) To register any second-level domain within dot-gov, County or Parish governments must.... Examples of preferred domain names include— (1) Richmondcounty-ga.gov; (2) Pwc-county-va.gov; and (3...

Trouble Brewing in Orange County. Policy Brief

ERIC Educational Resources Information Center

Buck, Stuart

2010-01-01

Orange County will soon face enormous budgetary pressures from the growing deficits in public pensions, both at a state and local level. In this policy brief, the author estimates that Orange County faces a total $41.2 billion liability for retiree benefits that are underfunded--including $9.4 billion for the county pension system and an estimated…

Effective Methodology for Teaching Beginning Reading in English to Bilingual Adults.

ERIC Educational Resources Information Center

Sainz, Jo-Ann; Biggins, Maria Goretti

A systematic model for accelerating the process of developing the word decoding skills and building the vocabularies of bilingual adults was used among prison populations in Rockland County, Dutchess County, Suffolk County, and Essex County, New York, as well as in work-study programs in community centers in New York City. Literacy levels of the…

15. 'Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

15. 'Concrete Bridge Over Salt River, Port Kenyon, Humboldt County, California, A.J. Logan, County Surveyor, H.J. Brunnier, Consulting Engineer, March 7, 1919,' showing general plan, plan of top chord, elevation of main girder, transverse section, plan section at deck level. - Salt River Bridge, Spanning Salt River at Dillon Road, Ferndale, Humboldt County, CA

Modeled nitrous oxide emissions from corn fields in iowa based on county level data.

PubMed

Jarecki, Marek K; Hatfield, Jerry L; Barbour, Wiley

2015-03-01

The U.S. Corn Belt area has the capacity to generate high nitrous oxide (NO) emissions due to medium to high annual precipitation, medium- to heavy-textured soils rich in organic matter, and high nitrogen (N) application rates. The purpose of this work was to estimate NO emissions from cornfields in Iowa at the county level using the DeNitrification-DeComposition (DNDC) model and to compare the DNDC NO emission estimates with available results from field experiments. All data were acquired for 2007 to 2011. Weather Underground Network and the Iowa State University Iowa Soil Properties and Interpretation Database 7.3 were the data sources for DNDC inputs and for computing county soil parameters. The National Agriculture Statistic Service 5-yr averages for corn yield data were used to establish ex post fertilizer N input at the county level. The DNDC output suggested county-wide NO emissions in Iowa ranged from 2.2 kg NO-N ha yr in south-central to 4.6 to 4.7 kg NO-N ha yr in north-central and eastern Iowa counties. In northern districts, the average direct NO emissions were 3.2, 4.4, and 3.6 kg NO-N ha yr for west, central, and east, respectively. In central districts, average NO emissions were 3.5, 3.9, and 3.4 kg NO-N ha yr for west, central, and east, respectively. For southern districts, NO emissions were 3.5, 2.6, and 3.1 kg NO-N ha yr for west, central, and east, respectively. Direct NO emissions estimated by the DNDC model were 1.93% of N fertilizer input to corn fields in Iowa, with values ranging from 1.66% in the northwest cropping district to 2.25% in the north-central cropping district. These values are higher than the average 1% loss rate used in the IPCC Tier 1 approach. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.

Urbanization Level and Vulnerability to Heat-Related Mortality in Jiangsu Province, China

PubMed Central

Chen, Kai; Zhou, Lian; Chen, Xiaodong; Ma, Zongwei; Liu, Yang; Huang, Lei; Bi, Jun; Kinney, Patrick L.

2016-01-01

Background: Although adverse effects of high temperature on mortality have been studied extensively in urban areas, little is known of the heat–mortality associations outside of cities. Objective: We investigated whether heat–mortality associations differed between urban and nonurban areas and how urbanicity affected the vulnerability to heat-related mortality. Methods: We first analyzed heat-related mortality risk in each of 102 counties in Jiangsu Province, China, during 2009–2013 using a distributed-lag nonlinear model. The county-specific estimates were then pooled for more urban (percentage of urban population ≥ 57.11%) and less urban (percentage of urban population < 57.11%) counties using a Bayesian hierarchical model. To explain the spatial variation in associations by county, county-level characteristics affecting heat vulnerability were also examined. Results: We found that the overall mortality risk comparing the 99th vs. 75th percentiles of temperature was 1.43 [95% posterior intervals (PI): 1.36, 1.50] in less urban counties and 1.26 (95% PI: 1.23, 1.30) in more urban counties. The heat effects on cardiorespiratory mortality followed a similar pattern. Higher education level and prevalence of air conditioning were significantly associated with counties having lower risks, whereas percentage of elderly people was significantly associated with increased risks. Conclusion: Our findings reveal that nonurban areas have significant heat-related mortality risks in Jiangsu, China. These results suggest the need for enhanced adaptation planning in Chinese nonurban areas under a changing climate. Citation: Chen K, Zhou L, Chen X, Ma Z, Liu Y, Huang L, Bi J, Kinney PL. 2016. Urbanization level and vulnerability to heat-related mortality in Jiangsu Province, China. Environ Health Perspect 124:1863–1869; http://dx.doi.org/10.1289/EHP204 PMID:27152420

Urbanization Level and Vulnerability to Heat-Related Mortality in Jiangsu Province, China.

PubMed

Chen, Kai; Zhou, Lian; Chen, Xiaodong; Ma, Zongwei; Liu, Yang; Huang, Lei; Bi, Jun; Kinney, Patrick L

2016-12-01

Although adverse effects of high temperature on mortality have been studied extensively in urban areas, little is known of the heat-mortality associations outside of cities. We investigated whether heat-mortality associations differed between urban and nonurban areas and how urbanicity affected the vulnerability to heat-related mortality. We first analyzed heat-related mortality risk in each of 102 counties in Jiangsu Province, China, during 2009-2013 using a distributed-lag nonlinear model. The county-specific estimates were then pooled for more urban (percentage of urban population ≥ 57.11%) and less urban (percentage of urban population < 57.11%) counties using a Bayesian hierarchical model. To explain the spatial variation in associations by county, county-level characteristics affecting heat vulnerability were also examined. We found that the overall mortality risk comparing the 99th vs. 75th percentiles of temperature was 1.43 [95% posterior intervals (PI): 1.36, 1.50] in less urban counties and 1.26 (95% PI: 1.23, 1.30) in more urban counties. The heat effects on cardiorespiratory mortality followed a similar pattern. Higher education level and prevalence of air conditioning were significantly associated with counties having lower risks, whereas percentage of elderly people was significantly associated with increased risks. Our findings reveal that nonurban areas have significant heat-related mortality risks in Jiangsu, China. These results suggest the need for enhanced adaptation planning in Chinese nonurban areas under a changing climate. Citation: Chen K, Zhou L, Chen X, Ma Z, Liu Y, Huang L, Bi J, Kinney PL. 2016. Urbanization level and vulnerability to heat-related mortality in Jiangsu Province, China. Environ Health Perspect 124:1863-1869; http://dx.doi.org/10.1289/EHP204.

Geospatial association between adverse birth outcomes and arsenic in groundwater in New Hampshire, USA.

PubMed

Shi, Xun; Ayotte, Joseph D; Onda, Akikazu; Miller, Stephanie; Rees, Judy; Gilbert-Diamond, Diane; Onega, Tracy; Gui, Jiang; Karagas, Margaret; Moeschler, John

2015-04-01

There is increasing evidence of the role of arsenic in the etiology of adverse human reproductive outcomes. Because drinking water can be a major source of arsenic to pregnant women, the effect of arsenic exposure through drinking water on human birth may be revealed by a geospatial association between arsenic concentration in groundwater and birth problems, particularly in a region where private wells substantially account for water supply, like New Hampshire, USA. We calculated town-level rates of preterm birth and term low birth weight (term LBW) for New Hampshire, by using data for 1997-2009 stratified by maternal age. We smoothed the rates by using a locally weighted averaging method to increase the statistical stability. The town-level groundwater arsenic probability values are from three GIS data layers generated by the US Geological Survey: probability of local groundwater arsenic concentration >1 µg/L, probability >5 µg/L, and probability >10 µg/L. We calculated Pearson's correlation coefficients (r) between the reproductive outcomes (preterm birth and term LBW) and the arsenic probability values, at both state and county levels. For preterm birth, younger mothers (maternal age <20) have a statewide r = 0.70 between the rates smoothed with a threshold = 2,000 births and the town mean arsenic level based on the data of probability >10 µg/L; for older mothers, r = 0.19 when the smoothing threshold = 3,500; a majority of county level r values are positive based on the arsenic data of probability >10 µg/L. For term LBW, younger mothers (maternal age <25) have a statewide r = 0.44 between the rates smoothed with a threshold = 3,500 and town minimum arsenic concentration based on the data of probability >1 µg/L; for older mothers, r = 0.14 when the rates are smoothed with a threshold = 1,000 births and also adjusted by town median household income in 1999, and the arsenic values are the town minimum based on probability >10 µg/L. At the county level for younger mothers, positive r values prevail, but for older mothers, it is a mix. For both birth problems, the several most populous counties-with 60-80 % of the state's population and clustering at the southwest corner of the state-are largely consistent in having a positive r across different smoothing thresholds. We found evident spatial associations between the two adverse human reproductive outcomes and groundwater arsenic in New Hampshire, USA. However, the degree of associations and their sensitivity to different representations of arsenic level are variable. Generally, preterm birth has a stronger spatial association with groundwater arsenic than term LBW, suggesting an inconsistency in the impact of arsenic on the two reproductive outcomes. For both outcomes, younger maternal age has stronger spatial associations with groundwater arsenic.

A Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States.

PubMed

Liu, Yan; Watson, Stella C; Gettings, Jenna R; Lund, Robert B; Nordone, Shila K; Yabsley, Michael J; McMahan, Christopher S

2017-01-01

This paper forecasts the 2016 canine Anaplasma spp. seroprevalence in the United States from eight climate, geographic and societal factors. The forecast's construction and an assessment of its performance are described. The forecast is based on a spatial-temporal conditional autoregressive model fitted to over 11 million Anaplasma spp. seroprevalence test results for dogs conducted in the 48 contiguous United States during 2011-2015. The forecast uses county-level data on eight predictive factors, including annual temperature, precipitation, relative humidity, county elevation, forestation coverage, surface water coverage, population density and median household income. Non-static factors are extrapolated into the forthcoming year with various statistical methods. The fitted model and factor extrapolations are used to estimate next year's regional prevalence. The correlation between the observed and model-estimated county-by-county Anaplasma spp. seroprevalence for the five-year period 2011-2015 is 0.902, demonstrating reasonable model accuracy. The weighted correlation (accounting for different sample sizes) between 2015 observed and forecasted county-by-county Anaplasma spp. seroprevalence is 0.987, exhibiting that the proposed approach can be used to accurately forecast Anaplasma spp. seroprevalence. The forecast presented herein can a priori alert veterinarians to areas expected to see Anaplasma spp. seroprevalence beyond the accepted endemic range. The proposed methods may prove useful for forecasting other diseases.

A Bayesian spatio-temporal model for forecasting Anaplasma species seroprevalence in domestic dogs within the contiguous United States

PubMed Central

Liu, Yan; Watson, Stella C.; Gettings, Jenna R.; Lund, Robert B.; Nordone, Shila K.; McMahan, Christopher S.

2017-01-01

This paper forecasts the 2016 canine Anaplasma spp. seroprevalence in the United States from eight climate, geographic and societal factors. The forecast’s construction and an assessment of its performance are described. The forecast is based on a spatial-temporal conditional autoregressive model fitted to over 11 million Anaplasma spp. seroprevalence test results for dogs conducted in the 48 contiguous United States during 2011–2015. The forecast uses county-level data on eight predictive factors, including annual temperature, precipitation, relative humidity, county elevation, forestation coverage, surface water coverage, population density and median household income. Non-static factors are extrapolated into the forthcoming year with various statistical methods. The fitted model and factor extrapolations are used to estimate next year’s regional prevalence. The correlation between the observed and model-estimated county-by-county Anaplasma spp. seroprevalence for the five-year period 2011–2015 is 0.902, demonstrating reasonable model accuracy. The weighted correlation (accounting for different sample sizes) between 2015 observed and forecasted county-by-county Anaplasma spp. seroprevalence is 0.987, exhibiting that the proposed approach can be used to accurately forecast Anaplasma spp. seroprevalence. The forecast presented herein can a priori alert veterinarians to areas expected to see Anaplasma spp. seroprevalence beyond the accepted endemic range. The proposed methods may prove useful for forecasting other diseases. PMID:28738085

Socio-contextual Determinants of Research Evidence Use in Public-Youth Systems of Care.

PubMed

Garcia, Antonio R; Kim, Minseop; Palinkas, Lawrence A; Snowden, Lonnie; Landsverk, John

2016-07-01

Recent efforts have been devoted to understanding the conditions by which research evidence use (REU) is facilitated from the perspective of system leaders in the context of implementing evidence-based child mental health interventions. However, we have limited understanding of the extent to which outer contextual factors influence REU. Outer contextual factors for 37 counties in California were gathered from public records in 2008; and child welfare, juvenile justice, and mental health system leaders' perceptions of their REU were measured via a web-based survey from 2010 to 2012. Results showed that leaders with higher educational attainment and in counties with lower expenditures on inpatient mental health services were significantly associated with higher REU. Positive relationships between gathering research evidence and racial minority concentration and poverty at the county level were also detected. Results underscore the need to identify the organizational and socio-political factors by which mental health services and resources meet client demands that influence REU, and to recruit and retain providers with a graduate degree to negotiate work demands and interpret research evidence.

Reducing fatalities and severe injuries on Florida's high-speed multi-lane arterial corridors : part III, county level and roadway level GIS safety analysis of state multilane corridors in Florida, final report, April 2009

DOT National Transportation Integrated Search

2009-04-28

This part of the study examines the locations of high trends of severe crashes (incapacitating and fatal crashes) on multilane corridors in the state of Florida at two levels, county level and roadway level. The Geographic Information System (GIS) to...

Geographic distribution of insufficient sleep across the United States: a county-level hotspot analysis.

PubMed

Grandner, Michael A; Smith, Tony E; Jackson, Nicholas; Jackson, Tara; Burgard, Sarah; Branas, Charles

2015-09-01

Insufficient sleep is associated with cardiometabolic risk and neurocognitive impairment. Determinants of insufficient sleep include many social and environmental factors. Assessment of geographic hot/coldspots may uncover novel risk groups and/or targets for public health intervention. The aim of this study was to discern geographic patterns in the first data set to include county-level sleep data. The 2009 Behavioral Risk Factor Surveillance System was used. Insufficient sleep was assessed with a survey item and dichotomized. Data from n = 2231 counties were available. Tests for significant spatial concentrations of high/low levels of insufficient sleep (hotspots/coldspots) used the Getis-Ord G* statistic of local spatial concentration, chosen due to the nature of missing data. Eighty-four counties were hotspots, with high levels of insufficient sleep ( P < .01), and 45 were coldspots, with low insufficient sleep ( P < .01). Hotspots were found in Alabama (1 county), Arkansas (1), Georgia (1), Illinois (1), Kentucky (25), Louisiana (1), Missouri (4), Ohio (7), Tennessee (12), Texas (9), Virginia (6), and West Virginia (16). Coldspots were found in Alabama (1 county), Georgia (2), Illinois (6), Iowa (6), Michigan (2), Minnesota (1), North Carolina (1), Texas (7), Virginia (12), and Wisconsin (6). Several contiguous hotspots and coldspots were evident. Notably, the 17 counties with the highest levels of insufficient sleep were found in a contiguous set at the intersection of Kentucky, Tennessee, Virginia, and West Virginia (all P < .0002). Geographic distribution of insufficient sleep in the United States is uneven. Some areas (most notably parts of Appalachia) experience disproportionately high amounts of insufficient sleep and may be targets of intervention. Further investigation of determinants of geographic variability needs to be explored, which would enhance the utility of these data for development of public health campaigns.

County-level correlation between adult obesity rates and prevalence of dentists.

PubMed

Holzer, Jessica; Canavan, Maureen; Bradley, Elizabeth

2014-09-01

Investigators of previous studies regarding the correlation between area-level health care resources and obesity have not examined the association between the prevalence of dentists and rates of adult obesity. The authors conducted a study to address that knowledge gap. Using data compiled in the Robert Wood Johnson County Health Rankings and Roadmaps database, the authors conducted multivariable analyses of the relationship between the prevalence of dentists (from the 2011 Health Resources and Services Administration Area Resource File) and rates of obesity within counties. The authors controlled for prevalence of primary care providers, measures of the built environment (for example, number of recreational facilities per 10,000 population, the percentage of restaurants serving fast food) and county-level sociodemographic and economic factors. When the authors conducted a multivariable analysis adjusted for state-level fixed effects, they found that having one additional dentist per 10,000 population was associated significantly with a 1-percentage point reduction in the rate of obesity (P < .001). This effect was significantly larger in counties in which 25 percent of children or more (versus less than 25 percent of children) lived in poverty and in counties that had more primary care physicians per 10,000 population (P ≤ .009). The association between the prevalence of dentists and obesity, even after adjusting for primary care resources and sociodemographic factors, was evident. Although these data could not be used to assess causality, given the strength of the ecological, cross-sectional association, additional research involving person-level, longitudinal data is warranted. The correlation between the prevalence of dentists and obesity rates highlights the potential for dental professionals, as well as other primary care providers, to provide meaningful health education and support for improved nutritional behaviors, although the increased obesity rates in counties with fewer dentists per capita present challenges.

How does decentralisation affect health sector planning and financial management? a case study of early effects of devolution in Kilifi County, Kenya.

PubMed

Tsofa, Benjamin; Molyneux, Sassy; Gilson, Lucy; Goodman, Catherine

2017-09-15

A common challenge for health sector planning and budgeting has been the misalignment between policies, technical planning and budgetary allocation; and inadequate community involvement in priority setting. Health system decentralisation has often been promoted to address health sector planning and budgeting challenges through promoting community participation, accountability, and technical efficiency in resource management. In 2010, Kenya passed a new constitution that introduced 47 semi-autonomous devolved county governments, and a substantial transfer of responsibility for healthcare from the central government to these counties. This study analysed the effects of this major political decentralization on health sector planning, budgeting and overall financial management at county level. We used a qualitative, case study design focusing on Kilifi County, and were guided by a conceptual framework which drew on decentralisation and policy analysis theories. Qualitative data were collected through document reviews, key informant interviews, and participant and non-participant observations conducted over an eighteen months' period. We found that the implementation of devolution created an opportunity for local level prioritisation and community involvement in health sector planning and budgeting hence increasing opportunities for equity in local level resource allocation. However, this opportunity was not harnessed due to accelerated transfer of functions to counties before county level capacity had been established to undertake the decentralised functions. We also observed some indication of re-centralisation of financial management from health facility to county level. We conclude by arguing that, to enhance the benefits of decentralised health systems, resource allocation, priority setting and financial management functions between central and decentralised units are guided by considerations around decision space, organisational structure and capacity, and accountability. In acknowledging the political nature of decentralisation polices, we recommend that health sector policy actors develop a broad understanding of the countries' political context when designing and implementing technical strategies for health sector decentralisation.

41. Ground level photograph of two floors of skeleton complete ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

41. Ground level photograph of two floors of skeleton complete with 3rd and 4th floors being started,upper floors of county bldg visible - Chicago City Hall, 121 North LaSalle Street, Chicago, Cook County, IL

When overweight is the normal weight: an examination of obesity using a social media internet database.

PubMed

Kuebler, Meghan; Yom-Tov, Elad; Pelleg, Dan; Puhl, Rebecca M; Muennig, Peter

2013-01-01

Using a large social media database, Yahoo Answers, we explored postings to an online forum in which posters asked whether their height and weight qualify themselves as "skinny," "thin," "fat," or "obese" over time and across forum topics. We used these data to better understand whether a higher-than-average body mass index (BMI) in one's county might, in some ways, be protective for one's mental and physical health. For instance, we explored whether higher proportions of obese people in one's county predicts lower levels of bullying or "am I fat?" questions from those with a normal BMI relative to his/her actual BMI. Most women asking whether they were themselves fat/obese were not actually fat/obese. Both men and women who were actually overweight/obese were significantly more likely in the future to ask for advice about bullying than thinner individuals. Moreover, as mean county-level BMI increased, bullying decreased and then increased again (in a U-shape curve). Regardless of where they lived, posters who asked "am I fat?" who had a BMI in the healthy range were more likely than other posters to subsequently post on health problems, but the proportions of such posters also declined greatly as county-level BMI increased. Our findings suggest that obese people residing in counties with higher levels of BMI may have better physical and mental health than obese people living in counties with lower levels of BMI by some measures, but these improvements are modest.

[Assessment on the capacity for programs regarding chronic non-communicable diseases prevention and control, in China].

PubMed

Si, Xiang; Zhai, Yi; Shi, Xiaoming

2014-06-01

To assess the policies and programs on the capacity of prevention and control regarding non-communicable diseases (NCDs) at the Centers for Disease Control and Prevention (CDCs) at all levels and grass roots health care institutions, in China. On-line questionnaire survey was adopted by 3 352 CDCs at provincial, city and county levels and 1 200 grass roots health care institutions. 1) On policies: 75.0% of the provincial governments provided special funding for chronic disease prevention and control, whereas 19.7% city government and 11.3% county government did so. 2) Infrastructure:only 7.1% county level CDCs reported having a department taking care of NCD prevention and control. 8 263 staff members worked on NCDs prevention and control, accounting for 4.2% of all the CDCs' personnel. 40.2% CDCs had special funding used for NCDs prevention and control. 3)Capacity on training and guidance:among all the CDCs, 96.9% at provincial level, 50.3% at city level and 42.1% at county level had organized training on NCDs prevention and control. Only 48.3% of the CDCs at county level provided technical guidance for grass-roots health care institutions. 4) Capacities regarding cooperation and participation: 20.2% of the CDCs had experience in collaborating with mass media. 5) Surveillance capacity: 64.6% of the CDCs at county level implemented death registration, compare to less than 30.0% of CDCs at county level implemented surveillance programs on major NCDs and related risk factors. In the grass roots health care institutions, 18.6% implemented new stroke case reporting system but only 3.0% implemented program on myocardial infarction case reporting. 6) Intervention and management capacity: 36.1% and 32.2% of the CDCs conducted individualized intervention on hypertension and diabetes, while less than another 20% intervened into other NCDs and risk factors. More than 50% of the grass roots health care institutions carried follow-up survey on hypertension and diabetes. Rates on hypertension and diabetes patient management were 12.0% and 7.9% , with rates on standard management as 73.8% and 80.1% and on control as 48.7% and 50.0%, respectively. 7) Capacity on Assessment: 13.3% of the CDCs or health administrations carried out evaluation programs related to the responses on NCDs in their respective jurisdiction. 8) On scientific research: the capacity on scientific research among provincial CDCs was apparently higher than that at the city or county level CDCs. Policies for NCDs prevention and control need to be improved. We noticed that there had been a huge gap between county level and provincial/city level CDCs on capacities related to NCDs prevention and control. At the grass-roots health care institutions, both prevention and control programs on chronic diseases did not seem to be effective.

Simulating county-level crop yields in the Conterminous United States using the Community Land Model: The effects of optimizing irrigation and fertilization

DOE PAGES

Leng, Guoyong; Zhang, Xuesong; Huang, Maoyi; ...

2016-11-12

Representing agricultural systems explicitly in Earth system models is important for understanding the water-energy-food nexus under climate change. In this study, we applied Version 4.5 of the Community Land Model (CLM) at a 0.125 degree resolution to provide the first county-scale validation of the model in simulating crop yields over the Conterminous United States (CONUS). We focused on corn and soybean that are both important grain crops and biofuel feedstocks (corn for bioethanol; soybean for biodiesel). We find that the default model substantially under- or over-estimate yields of corn and soybean as compared to the US Department of Agriculture (USDA)more » census data, with corresponding county-level root-mean square error (RMSE) of 45.3 Bu/acre and 12.9 Bu/acre, or 42% and 38% of the US mean yields for these crops, respectively. Based on the numerical experiments, the lack of proper representation of agricultural management practices, such as irrigation and fertilization, was identified as a major cause for the model's poor performance. After implementing an irrigation management scheme calibrated against county-level US Geological Survey (USGS) census data, the county-level RMSE for corn yields reduced to 42.6 Bu/acre. We then incorporated an optimized fertilizer scheme in rate and timing, which is achieved by the constraining annual total fertilizer amount against the USDA data, considering the dynamics between fertilizer demand and supply and adopting a calibrated fertilizer scheduling map. The proposed approach is shown to be effective in increasing the fertilizer use efficiency for corn yields, with county-level RMSE reduced to 23.8 Bu/acre (or 22% of the US mean yield). In regions with similar annual fertilizer applied as in the default, the improvements in corn yield simulations are mainly attributed to application of longer fertilization periods and consideration of the dynamics between fertilizer demand and supply. For soybean which is capable of fixing nitrogen to meet nitrogen demand, the reduced positive bias to 6.9 Bu/acre (or 21% of the country mean) was mainly attributed to consideration of the dynamic interactions between fertilizer demand and supply. Although large bias remains in terms of the spatial pattern (i.e. high county-level RMSE), mainly due to limited performance over the Western US, our results show that optimizing irrigation and fertilization can lead to promising improvement in crop and soybean yield simulations in terms of the mean and variability especially over the Mid-west corn belt, and subsequent evapotranspiration (ET) estimates. Finally, this study demonstrates the CLM4.5 capability for predicting crop yields and their interactions with climate, and highlights the value of continued model improvements and development to understand biogeophysical and biogeochemical impacts of land use and land cover change using an Earth system modeling framework.« less

Simulating county-level crop yields in the Conterminous United States using the Community Land Model: The effects of optimizing irrigation and fertilization

DOE Office of Scientific and Technical Information (OSTI.GOV)

Leng, Guoyong; Zhang, Xuesong; Huang, Maoyi

Representing agricultural systems explicitly in Earth system models is important for understanding the water-energy-food nexus under climate change. In this study, we applied Version 4.5 of the Community Land Model (CLM) at a 0.125 degree resolution to provide the first county-scale validation of the model in simulating crop yields over the Conterminous United States (CONUS). We focused on corn and soybean that are both important grain crops and biofuel feedstocks (corn for bioethanol; soybean for biodiesel). We find that the default model substantially under- or over-estimate yields of corn and soybean as compared to the US Department of Agriculture (USDA)more » census data, with corresponding county-level root-mean square error (RMSE) of 45.3 Bu/acre and 12.9 Bu/acre, or 42% and 38% of the US mean yields for these crops, respectively. Based on the numerical experiments, the lack of proper representation of agricultural management practices, such as irrigation and fertilization, was identified as a major cause for the model's poor performance. After implementing an irrigation management scheme calibrated against county-level US Geological Survey (USGS) census data, the county-level RMSE for corn yields reduced to 42.6 Bu/acre. We then incorporated an optimized fertilizer scheme in rate and timing, which is achieved by the constraining annual total fertilizer amount against the USDA data, considering the dynamics between fertilizer demand and supply and adopting a calibrated fertilizer scheduling map. The proposed approach is shown to be effective in increasing the fertilizer use efficiency for corn yields, with county-level RMSE reduced to 23.8 Bu/acre (or 22% of the US mean yield). In regions with similar annual fertilizer applied as in the default, the improvements in corn yield simulations are mainly attributed to application of longer fertilization periods and consideration of the dynamics between fertilizer demand and supply. For soybean which is capable of fixing nitrogen to meet nitrogen demand, the reduced positive bias to 6.9 Bu/acre (or 21% of the country mean) was mainly attributed to consideration of the dynamic interactions between fertilizer demand and supply. Although large bias remains in terms of the spatial pattern (i.e. high county-level RMSE), mainly due to limited performance over the Western US, our results show that optimizing irrigation and fertilization can lead to promising improvement in crop and soybean yield simulations in terms of the mean and variability especially over the Mid-west corn belt, and subsequent evapotranspiration (ET) estimates. Finally, this study demonstrates the CLM4.5 capability for predicting crop yields and their interactions with climate, and highlights the value of continued model improvements and development to understand biogeophysical and biogeochemical impacts of land use and land cover change using an Earth system modeling framework.« less

Dental Workforce Availability and Dental Services Utilization in Appalachia: A Geospatial Analysis

PubMed Central

Feng, Xue; Sambamoorthi, Usha; Wiener, R. Constance

2016-01-01

Objectives There is considerable variation in dental services utilization across Appalachian counties, and a plausible explanation is that individuals in some geographical areas do not utilize dental care due to dental workforce shortage. We conducted an ecological study on dental workforce availability and dental services utilization in Appalachia. Methods We derived county-level (n = 364) data on demographic, socio-economic characteristics and dental services utilization in Appalachia from the 2010 Behavioral Risk Factor Surveillance System (BRFSS) using person-level data. We obtained county-level dental workforce availability and physician-to-population ratio estimates from Area Health Resource File, and linked them to the county-level BRFSS data. The dependent variable was the proportion using dental services within the last year in each county (ranging from 16.6% to 91.0%). We described the association between dental workforce availability and dental services utilization using ordinary least squares regression and spatial regression techniques. Spatial analyses consisted of bivariate Local Indicators of Spatial Association (LISA) and geographically weighted regression (GWR). Results Bivariate LISA showed that counties in the central and southern Appalachian regions had significant (p < .05) low-low spatial clusters (low dental workforce availability, low percent dental services utilization). GWR revealed considerable local variations in the association between dental utilization and dental workforce availability. In the multivariate GWR models, 8.5% (t-statistics >1.96) and 13.45% (t-statistics >1.96) of counties showed positive and statistically significant relationships between the dental services utilization and workforce availability of dentists and dental hygienists, respectively. Conclusions Dental workforce availability was associated with dental services utilization in the Appalachian region; however, this association was not statistically significant in all counties. The findings suggest that program and policy efforts to improve dental services utilization need to focus on factors other than increasing the dental workforce availability for many counties in Appalachia. PMID:27957773

What is New in the “New Rural Co-operative Medical System”? An Assessment in One Kazak County of the Xinjiang Uyghur Autonomous Region*

PubMed Central

Klotzbücher, Sascha; Lässig, Peter; Jiangmei, Qin; Weigelin-Schwiedrzik, Susanne

2011-01-01

In 2002, the Chinese leadership announced a change in national welfare policy: Voluntary medical schemes at county level, called the “New Rural Co-operative Medical System” should cover all counties by 2010. This article addresses the main characteristics of this system, analyses the introduction of local schemes based on our own field studies in one Kazak county of the Xinjiang Uyghur Autonomous Region since 2006, and argues that the fast progressing of the local scheme and the flexibility shown by local administrators in considering structural and procedural adjustments are not the result of central directives but of local initiatives. Recentralization from the township governments to functional departments in the provincial and the central state administration is only one aspect of current rural governance. Complementary forms of locally embedded responsiveness to the needs of health care recipients are crucial in restructuring the administration and discharge of health care. These new modes of governance are different from the hierarchical control and institutionalized representation of interests of the local population. PMID:22058584

South Carolina: Charleston County Area Project Impact Environmental Education Program (A Former EPA CARE Project)

EPA Pesticide Factsheets

The Charleston County Area Project Impact is the recipient of a Level II CARE cooperative agreement. The project is under the direction of the Charleston County Building Services Department, in Charleston, S.C.

139. VIEW OF AGENA TRANSFER AREA SHELTER (117A), LSB (BLDG. ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

139. VIEW OF AGENA TRANSFER AREA SHELTER (117A), LSB (BLDG. 770), FROM VEHICLE CHECKOUT AREA (117). STAINLESS STEEL FLOOR SQUARE BY LOCKER WAS LEVEL PEDESTAL. - Vandenberg Air Force Base, Space Launch Complex 3, Launch Pad 3 West, Napa & Alden Roads, Lompoc, Santa Barbara County, CA

Arena entry stair to left and stair to arena top ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Arena entry stair to left and stair to arena top level entry bridge at right. Drop siding is on second floor of recreation center. - U.S. Naval Base, Pearl Harbor, Bloch Recreation Center & Arena, Between Center Drive & North Road near Nimitz Gate, Pearl City, Honolulu County, HI

Air Conditioning and Refrigeration Program Articulation, 1981-1982.

ERIC Educational Resources Information Center

Dallas County Community Coll. District, TX.

Based on a survey of high school programs and courses in the Dallas County Community College District (DCCCD), this articulated program is designed to prepare students for entry-level employment in the air conditioning and refrigeration industry, including residential and commercial air conditioning and commercial refrigeration. The skills and…

Seeking a State Workforce Strategy

ERIC Educational Resources Information Center

Fischer, David Jason; Mack, Melinda

2015-01-01

New York's workforce system is a complicated entity that engages nearly a dozen state agencies and myriad funding streams originating at the federal and state levels, and operates on the ground in ten economic development regions, 33 designated workforce investment areas, community-based organizations, labor unions and 62 counties. This report…

Commentary: County of Washington v. Gunther.

ERIC Educational Resources Information Center

Buckley, Nancy C.

1981-01-01

In court litigation in which women prison guards' claim of pay discrimination was rejected at the local level, the Supreme Court ruled that the case could be debated based on workers'"comparable worth" instead of "equal work," the traditional argument. Further litigation on the comparable worth issue is anticipated. (MSE)

Increasing Information Sharing Among Independent Police Departments

DTIC Science & Technology

2009-03-01

the operational level . 50 Robert Fox (Lieutenant, Los Angeles Police Department – Assigned to the Joint Regional... Angeles Police Department ( LAPD ) is the largest independent police department in Los Angeles County. The department is responsible for patrolling...agencies operating in metropolitan areas based on a quantitative analysis of the 46 independent police

Lessons Learned From the Environmental Public Health Tracking Sub-County Data Pilot Project.

PubMed

Werner, Angela K; Strosnider, Heather; Kassinger, Craig; Shin, Mikyong

2017-12-07

Small area data are key to better understanding the complex relationships between environmental health, health outcomes, and risk factors at a local level. In 2014, the Centers for Disease Control and Prevention's National Environmental Public Health Tracking Program (Tracking Program) conducted the Sub-County Data Pilot Project with grantees to consider integration of sub-county data into the National Environmental Public Health Tracking Network (Tracking Network). The Tracking Program and grantees developed sub-county-level data for several data sets during this pilot project, working to standardize processes for submitting data and creating required geographies. Grantees documented challenges they encountered during the pilot project and documented decisions. This article covers the challenges revealed during the project. It includes insights into geocoding, aggregation, population estimates, and data stability and provides recommendations for moving forward. National standards for generating, analyzing, and sharing sub-county data should be established to build a system of sub-county data that allow for comparison of outcomes, geographies, and time. Increasing the availability and accessibility of small area data will not only enhance the Tracking Network's capabilities but also contribute to an improved understanding of environmental health and informed decision making at a local level.

Guidelines for preparation of State water-use estimates for 2015

USGS Publications Warehouse

Bradley, Michael W.

2017-05-01

The U.S. Geological Survey (USGS) has estimated the use of water in the United States at 5-year intervals since 1950. This report describes the water-use categories and data elements used for the national water-use compilation conducted as part of the USGS National Water-Use Science Project. The report identifies sources of water-use information, provides standard methods and techniques for estimating water use at the county level, and outlines steps for preparing documentation for the United States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands.As part of this USGS program to document water use on a national scale, estimates of water withdrawals for the categories of public supply, self-supplied domestic, industrial, irrigation, and thermoelectric power are prepared for each county in each State, District, or territory by using the guidelines in this report. County estimates of water withdrawals for aquaculture, livestock, and mining are prepared for each State by using a county-based national model, although water-use programs in each State or Water Science Center have the option of producing independent county estimates of water withdrawals for these categories. Estimates of water withdrawals and consumptive use for thermoelectric power will be aggregated to the county level for each State by the national project; additionally, irrigation consumptive use at the county level will also be provided, although study chiefs in each State have the option of producing independent county estimates of water withdrawals and consumptive use for these categories.Estimates of deliveries of water from public supplies for domestic use by county also will be prepared for each State. As a result, total domestic water use can be determined for each State by combining self-supplied domestic withdrawals and public-supplied domestic deliveries. Fresh groundwater and surface-water estimates will be prepared for all categories of use, and saline groundwater and surface-water estimates by county will be prepared for the categories of public supply, industrial, mining, and thermoelectric power. Power production for thermoelectric power and irrigated acres by irrigation system type will be compiled. If data are available, reclaimed-wastewater use will be compiled for the public-supply, industrial, mining, thermoelectric-power, and irrigation categories.Optional water-use categories are commercial, hydroelectric power, and wastewater treatment. Optional data elements are public-supply deliveries to commercial, industrial, and thermoelectric-power users; consumptive use (for categories other than thermoelectric power and irrigation); irrigation conveyance loss; and number of facilities. Aggregation of water-use data by stream basin (eight-digit hydrologic unit code) and principal aquifers also is optional.Water-use data compiled by the States will be stored in the USGS Aggregate Water-Use Data System (AWUDS). This database is a comprehensive aggregated database designed to store mandatory and optional data elements. AWUDS contains several routines that can be used for quality assurance and quality control of the data, and AWUDS produces tables of water-use data from the previous compilations.

Place-Based Initiatives to Improve Health in Disadvantaged Communities: Cross-Sector Characteristics and Networks of Local Actors in North Carolina.

PubMed

Dupre, Matthew E; Moody, James; Nelson, Alicia; Willis, Janese M; Fuller, Lori; Smart, Allen J; Easterling, Doug; Silberberg, Mina

2016-09-01

To examine the leadership attributes and collaborative connections of local actors from the health sector and those outside the health sector in a major place-based health initiative. We used survey data from 340 individuals in 4 Healthy Places North Carolina counties from 2014 to assess the leadership attributes (awareness, attitudes, and capacity) and network connections of local actors by their organizational sector. Respondents' leadership attributes-scored on 5-point Likert scales-were similar across Healthy Places North Carolina counties. Although local actors reported high levels of awareness and collaboration around community health improvement, we found lower levels of capacity for connecting diversity, identifying barriers, and using resources in new ways to improve community health. Actors outside the health sector had generally lower levels of capacity than actors in the health sector. Those in the health sector exhibited the majority of network ties in their community; however, they were also the most segregated from actors in other sectors. More capacity building around strategic action-particularly in nonhealth sectors-is needed to support efforts in making widespread changes to community health.

Place-Based Initiatives to Improve Health in Disadvantaged Communities: Cross-Sector Characteristics and Networks of Local Actors in North Carolina

PubMed Central

Moody, James; Nelson, Alicia; Willis, Janese M.; Fuller, Lori; Smart, Allen J.; Easterling, Doug; Silberberg, Mina

2016-01-01

Objectives. To examine the leadership attributes and collaborative connections of local actors from the health sector and those outside the health sector in a major place-based health initiative. Methods. We used survey data from 340 individuals in 4 Healthy Places North Carolina counties from 2014 to assess the leadership attributes (awareness, attitudes, and capacity) and network connections of local actors by their organizational sector. Results. Respondents’ leadership attributes—scored on 5-point Likert scales—were similar across Healthy Places North Carolina counties. Although local actors reported high levels of awareness and collaboration around community health improvement, we found lower levels of capacity for connecting diversity, identifying barriers, and using resources in new ways to improve community health. Actors outside the health sector had generally lower levels of capacity than actors in the health sector. Those in the health sector exhibited the majority of network ties in their community; however, they were also the most segregated from actors in other sectors. Conclusions. More capacity building around strategic action—particularly in nonhealth sectors—is needed to support efforts in making widespread changes to community health. PMID:27459443

Records of wells, drillers' logs, water-level measurements, and chemical analyses of ground water in Harris and Galveston Counties, Texas, 1984-1989

USGS Publications Warehouse

Coplin, L.S.; Campodonico, Al

1991-01-01

Data for water wells and ground water in Harris and Galveston Counties were collected during 1984-89 by the U.S. Geological Survey. This report presents a compilation of records for 243 wells in Harris and Galveston Counties and drillers' logs for 174 of these wells. Water-level data and chemical-quality data of water for new and previously inventoried wells were also collected. Water levels in 521 wells and chemical analyses of water from 249 wells are presented in this report.

Where Are Socioeconomically Deprived Immigrants Located in Chile? A Spatial Analysis of Census Data Using an Index of Multiple Deprivation from the Last Three Decades (1992-2012)

PubMed Central

2016-01-01

Introduction and Purpose of the Study Immigrants in Chile have diverse characteristics and include socioeconomically deprived populations. The location of socioeconomically deprived immigrants is important for the development of public policy intelligence at the local and national levels but their areas of residence have not been mapped in Chile. This study explored the spatial distribution of socioeconomic deprivation among immigrants in Chile, 1992–2012, and compared it to the total population. Material and Methods Areas with socioeconomically deprived populations were identified with a deprivation index which we developed modelled upon the Index of Multiple Deprivation (IMD) for England. Our IMD was based upon the indicators of unemployment, low educational level (primary) and disability from Census data at county level for the three decades 1992, 2002 and 2012, for 332, 339 and 343 counties respectively. We developed two versions of the IMD one based on disadvantage among the total population and another focused upon the circumstances of immigrants only. We generated a spatial representation of the IMD using GIS, for the overall IMD score and for each dimension of the index, separately. We also compared the immigrants´ IMD to the total population´s IMD using Pearson´s correlation test. Results Results showed that socioeconomically deprived immigrants tended to be concentrated in counties in the northern and central area of Chile, in particular within the Metropolitan Region of Santiago. These were the same counties where there was the greatest concentration of socioeconomic deprivation for the total population during the same time periods. Since 1992 there have been significant change in the location of the socioeconomically deprived populations within the Metropolitan Region of Santiago with the highest IMD scores for both the total population and immigrants becoming increasingly concentrated in the central and eastern counties of the Region. Conclusion This is the first study analysing the spatial distribution of socioeconomic deprivation among international immigrants and the total population in a Latin American country. Findings could inform policy makers about location of areas of higher need of social protection in Chile, for both immigrants and the total resident population in the country. PMID:26756869

Residential segregation and the health of African-American infants: does the effect vary by prevalence?

PubMed

Nyarko, Kwame A; Wehby, George L

2012-10-01

Segregation effects may vary between areas (e.g., counties) of low and high low birth weight (LBW; <2,500 g) and preterm birth (PTB; <37 weeks of gestation) rates due to interactions with area differences in risks and resources. We assess whether the effects of residential segregation on county-level LBW and PTB rates for African-American infants vary by the prevalence of these conditions. The study sample includes 368 counties of 100,000 or more residents and at least 50 African-American live births in 2000. Residentially segregated counties are identified alternatively by county-level dissimilarity and isolation indices. Quantile regression is used to assess how residential segregation affects the entire distributions of county-level LBW and PTB rates (i.e. by prevalence). Residential segregation increases LBW and PTB rates significantly in areas of low prevalence, but has no such effects for areas of high prevalence. As a sensitivity analysis, we use metropolitan statistical area level data and obtain similar results. Our findings suggest that residential segregation has adverse effects mainly in areas of low prevalence of LBW and preterm birth, which are expected overall to have fewer risk factors and more resources for infant health, but not in high prevalence areas, which are expected to have more risk factors and fewer resources. Residential policies aimed at area resource improvements may be more effective.

Air pollution and survival within the Washington University-EPRI veterans cohort: risks based on modeled estimates of ambient levels of hazardous and criteria air pollutants.

PubMed

Lipfert, Frederick W; Wyzga, Ronald E; Baty, Jack D; Miller, J Philip

2009-04-01

For this paper, we considered relationships between mortality, vehicular traffic density, and ambient levels of 12 hazardous air pollutants, elemental carbon (EC), oxides of nitrogen (NOx), sulfur dioxide (SO2), and sulfate (SO4(2-)). These pollutant species were selected as markers for specific types of emission sources, including vehicular traffic, coal combustion, smelters, and metal-working industries. Pollutant exposures were estimated using emissions inventories and atmospheric dispersion models. We analyzed associations between county ambient levels of these pollutants and survival patterns among approximately 70,000 U.S. male veterans by mortality period (1976-2001 and subsets), type of exposure model, and traffic density level. We found significant associations between all-cause mortality and traffic-related air quality indicators and with traffic density per se, with stronger associations for benzene, formaldehyde, diesel particulate, NOx, and EC. The maximum effect on mortality for all cohort subjects during the 26-yr follow-up period is approximately 10%, but most of the pollution-related deaths in this cohort occurred in the higher-traffic counties, where excess risks approach 20%. However, mortality associations with diesel particulates are similar in high- and low-traffic counties. Sensitivity analyses show risks decreasing slightly over time and minor differences between linear and logarithmic exposure models. Two-pollutant models show stronger risks associated with specific traffic-related pollutants than with traffic density per se, although traffic density retains statistical significance in most cases. We conclude that tailpipe emissions of both gases and particles are among the most significant and robust predictors of mortality in this cohort and that most of those associations have weakened over time. However, we have not evaluated possible contributions from road dust or traffic noise. Stratification by traffic density level suggests the presence of response thresholds, especially for gaseous pollutants. Because of their wider distributions of estimated exposures, risk estimates based on emissions and atmospheric dispersion models tend to be more precise than those based on local ambient measurements.

The Evaluation of Land Use Status in Mountainous Counties of Southwest China Based on Comprehensive Evaluation Models: A Case Study of Baoxing County, Sichuan Province

NASA Astrophysics Data System (ADS)

Cao, Mengtian; Shen, Jundi; Chen, Zhehua

2018-06-01

In mountainous areas of Southwest China, the land resources are scarce, and the ecological environment is fragile, so it is particularly important to carry out the evaluation of land use status for the sustainability of land development. Taking Baoxing County in Sichuan Province, the typical mountainous county in Southwest China, as an instance, this study refers to the existing research frameworks to establish the evaluation system of land use status. Meanwhile, the comprehensive evaluation models are used to evaluate land use status. As indicated from the results, in Baoxing County, the comprehensive evaluation score of the overall status of land use, the evaluation score of the development degree of land, the evaluation score of the intensive management degree of land and the evaluation score of the comprehensive benefits of land were 83.5, 108.24, 72.25 and 80.77, respectively. Land use status is generally at the relatively rational use stage, and the main problems are the lack of land investment and the low mechanization level of agricultural production. It is suggested to increase the financial investment in land and enhance the intensive degree and comprehensive benefits of land in the future.

Final Environmental Impact Report/Environmental Impact Statement. Cullinan Ranch Specific Plan. Chapter 13. Comments and Responses.

DTIC Science & Technology

1984-05-01

energy- intensive crop, and agricultural advisors expect alfalfa prices to rise significantly in the future. Sonoma County Dairy Advisor Dr. Richard...Bermon Alfred Heller John Tuteur. Jr James D Hobbs* Volker E#1ee Sonoma County I. Michael Heyman Mrs Robert Watson Alemo County JunO Foote Marilyn...86 ,. Sunnyvale 5 571 Sonoma County 56 21,266 i Class C -- Little or no protection of diked baylands at local level Alameda County 1 228 Alameda 2 71

Predicting Periodontitis at State and Local Levels in the United States.

PubMed

Eke, P I; Zhang, X; Lu, H; Wei, L; Thornton-Evans, G; Greenlund, K J; Holt, J B; Croft, J B

2016-05-01

The objective of the study was to estimate the prevalence of periodontitis at state and local levels across the United States by using a novel, small area estimation (SAE) method. Extended multilevel regression and poststratification analyses were used to estimate the prevalence of periodontitis among adults aged 30 to 79 y at state, county, congressional district, and census tract levels by using periodontal data from the National Health and Nutrition Examination Survey (NHANES) 2009-2012, population counts from the 2010 US census, and smoking status estimates from the Behavioral Risk Factor Surveillance System in 2012. The SAE method used age, race, gender, smoking, and poverty variables to estimate the prevalence of periodontitis as defined by the Centers for Disease Control and Prevention/American Academy of Periodontology case definitions at the census block levels and aggregated to larger administrative and geographic areas of interest. Model-based SAEs were validated against national estimates directly from NHANES 2009-2012. Estimated prevalence of periodontitis ranged from 37.7% in Utah to 52.8% in New Mexico among the states (mean, 45.1%; median, 44.9%) and from 33.7% to 68% among counties (mean, 46.6%; median, 45.9%). Severe periodontitis ranged from 7.27% in New Hampshire to 10.26% in Louisiana among the states (mean, 8.9%; median, 8.8%) and from 5.2% to 17.9% among counties (mean, 9.2%; median, 8.8%). Overall, the predicted prevalence of periodontitis was highest for southeastern and southwestern states and for geographic areas in the Southeast along the Mississippi Delta, as well as along the US and Mexico border. Aggregated model-based SAEs were consistent with national prevalence estimates from NHANES 2009-2012. This study is the first-ever estimation of periodontitis prevalence at state and local levels in the United States, and this modeling approach complements public health surveillance efforts to identify areas with a high burden of periodontitis. © International & American Associations for Dental Research 2016.

Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin

USGS Publications Warehouse

Fienen, Michael N.; Saad, David A.; Juckem, Paul F.

2013-01-01

The shallow groundwater system in the Forest County Potawatomi Comminity, Forest County, Wisconsin, was simulated by expanding and recalibrating a previously calibrated regional model. The existing model was updated using newly collected water-level measurements, inclusion of surface-water features beyond the previous near-field boundary, and refinements to surface-water features. The updated model then was used to calculate the area contributing recharge for seven existing and three proposed pumping locations on lands of the Forest County Potawatomi Community. The existing wells were the subject of a 2004 source-water evaluation in which areas contributing recharge were calculated using the fixed-radius method. The motivation for the present (2012) project was to improve the level of detail of areas contributing recharge for the existing wells and to provide similar analysis for the proposed wells. Delineated 5- and 10-year areas contributing recharge for existing and proposed wells extend from the areas of pumping to delineate the area at the surface contributing recharge to the wells. Steady-state pumping was simulated for two scenarios: a base-pumping scenario using pumping rates that reflect what the Community currently (2012) pumps (or plans to in the case of proposed wells), and a high-pumping scenario in which the rate was set to the maximum expected from wells installed in this area, according to the Forest County Potawatomi Community Natural Resources Department. In general, the 10-year areas contributing recharge did not intersect surface-water bodies. The 5- and 10-year areas contributing recharge simulated at the maximum pumping rate at Bug Lake Road may intersect Bug Lake. At the casino near the Town of Carter, Wisconsin, the 10-year areas contributing recharge intersect infiltration ponds. At the Devils Lake and Lois Crow Drive wells, areas contributing recharge are near cultural features, including residences.

Demolition waste generation for development of a regional management chain model.

PubMed

Bernardo, Miguel; Gomes, Marta Castilho; de Brito, Jorge

2016-03-01

Even though construction and demolition waste (CDW) is the bulkiest waste stream, its estimation and composition in specific regions still faces major difficulties. Therefore new methods are required especially when it comes to make predictions limited to small areas, such as counties. This paper proposes one such method, which makes use of data collected from real demolition works and statistical information on the geographical area under study. Based on a correlation analysis between the demolition waste estimates and indicators such as population density, buildings ageing index, buildings density and land occupation type, relationships are established that can be used to determine demolition waste outputs in a given area. The derived models are presented and explained. This methodology is independent from the specific region with which it is exemplified (the Lisbon Metropolitan Area) and can therefore be applied to any region of the world, from the country to the county level. Generation of demolition waste data at the county level is the basis of the design of a systemic model for CDW management in a region. Future developments proposed include a mixed-integer linear programming formulation of such recycling network. Copyright © 2016 Elsevier Ltd. All rights reserved.

Rural migration in Nevada: Lincoln County. Phase 1, 1992--1993

DOE Office of Scientific and Technical Information (OSTI.GOV)

Soden, D.L.; Carns, D.E.; Mosser, D.

1993-12-31

The principal objective of this project was to develop insight into the scope of migration of working age Nevadans out of their county of birth; including the collection of data on their skill levels, desire to out or in-migrate, interactions between families of migratory persons, and the impact that the proposed high-level nuclear waste repository at Yucca mountain might have on their individual, and collective, decisions to migrate and return. The initial phase of this project reported here was conducted in 1992 and 1993 in Lincoln County, Nevada, one of the counties designated as ``affected`` by the proposed repository program.more » The findings suggest that a serious out-migration problem exists in Lincoln County, and that the Yucca mountain project will likely affect decisions relating to migration patterns in the future.« less

Preventable hospitalizations: does rurality or non-physician clinician supply matter?

PubMed

Nayar, Preethy; Nguyen, Anh T; Apenteng, Bettye; Yu, Fang

2012-04-01

This study examines the relationship between rurality as well as the proportion of non-physician clinicians and county rates of ambulatory care sensitive hospitalizations (ACSHs) for pediatric, adult and elderly populations in Nebraska. The study design was a cross-sectional observational study of county level factors that affect the county level rates of ACSHs using Poisson regression models. Rural (non-metro) counties have significantly higher ACSHs for both pediatric and adult population, but not for the elderly. Frontier counties have significantly higher adult ACSHs. The proportion of primary care providers who are non-physician clinicians does not have a significant association with ACSHs for any of the age groups. The results indicate that rurality may have a greater impact on pediatric and adult ACSHs and the proportion of NPCs in the primary care provider workforce does not significantly impact ACSH rates.

77 FR 59156 - Approval and Promulgation of Air Quality Implementation Plans; Maryland; The Washington County...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-26

... Promulgation of Air Quality Implementation Plans; Maryland; The Washington County 2002 Base Year Inventory... approve the fine particulate matter (PM 2.5 ) 2002 base year emissions inventory portion of the State of... proposing to approve the 2002 base year PM 2.5 emissions inventory for Washington County submitted by MDE in...

77 FR 6980 - Final Flood Elevation Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2012-02-10

... feet above ground [caret] Elevation in meters (MSL) Modified Unincorporated Areas of Nowata County... Sea Level, rounded to the nearest 0.1 meter. ADDRESSES Unincorporated Areas of Nowata County Maps are... Communities affected elevation above ground [caret] Elevation in meters (MSL) Modified St. Lucie County...

Ground-water quality in Geauga County, Ohio; review of previous studies, status in 1999, and comparison of 1986 and 1999 data

USGS Publications Warehouse

Jagucki, Martha L.; Darner, Robert A.

2001-01-01

Most residents in Geauga County, Ohio, rely on ground water as their primary source of drinking water. With population growing at a steady rate, the possibility that human activity will affect ground-water quality becomes considerable. This report presents the results of a study by the U.S. Geological Survey (USGS), in cooperation with the Geauga County Planning Commission and Board of County Commissioners, to provide a brief synopsis of work previously done within the county, to assess the present (1999) ground-water quality, and to determine any changes in ground-water quality between 1986 and 1999. Previous studies of ground-water quality in the county have consistently reported that manganese and iron concentrations in ground water in Geauga County often exceed the U.S. Environmental Protection Agency (USEPA) Secondary Maximum Contaminant Level (SMCL). Road salt and, less commonly, oil-field brines and volatile organic compounds (VOCs) have been found in ground water at isolated locations. Nitrate has not been detected above the USEPA Maximum Contaminant Level (MCL) of 10 milligrams per liter as N; however, nitrate has been found in some locations at levels that may indicate the effects of fertilizer application or effluent from septic systems. Between June 7 and July 1, 1999, USGS personnel collected a total of 31 water-quality samples from wells completed in glacial deposits, the Pottsville Formation, the Cuyahoga Group, and the Berea Sandstone. All samples were analyzed for VOCs, sulfide, dissolved organic carbon, major ions, trace elements, alkalinity, total coliforms, and Escherichia coli bacteria. Fourteen of the samples also were analyzed for tritium. Water-quality data were used to determine (1) suitability of water for drinking, (2) age of ground water, (3) stratigraphic variation in water quality, (4) controls on water quality, and (5) temporal variation in water quality. Water from 16 of the 31 samples exceeded the Geauga County General Health District?s standard of 0 colonies of total coliform bacteria per 100 milliliters of water. Esthetically based SMCLs were exceeded in the indicated number of wells for pH (8), sulfate (1), dissolved solids (3), iron (19), and manganese (18). Hydrogen sulfide was detected at or above the detection limit of 0.01 milligram per liter in 17 of the 31 water samples. A range of water types was found among and within the four principal stratigraphic units. The waters can be categorized in three groups based on predominant anion type: bicarbonate-type waters, chloride-type waters, and sulfate-type waters. Chloride-to-bromide ratio analyses indicate that water from 8 of the 31 wells is in some way affected by human activity. Five other samples were in a chloride-to-bromide ratio range that could indicate possible effects of human activity. Ground-water-quality data from the current study were compared to data collected in 1986. Statistical analyses of data from the 16 wells that were sampled in both years did not indicate any significant changes that could be attributed to human activity.

Does unemployment affect child abuse rates? Evidence from New York State.

PubMed

Raissian, Kerri M

2015-10-01

This article used child maltreatment reports from New York State from 2000 to 2010 to investigate the relationship between county level unemployment and county level child maltreatment rates. Models showed that a 1 percentage point increase in unemployment rates reduced the child report rate by approximately 4.25%. Report rates for young children (children under the age of 6) and older children (children ages 6 and over) responded similarly to changes in local unemployment, but the relationship between unemployment rates and child maltreatment reports did vary by a county's metropolitan designation. The negative relationship between unemployment and child maltreatment reports was largely contained to metropolitan counties. The relationship between unemployment and child maltreatment reports in non-metropolitan counties was often positive but not statistically significant. These findings were robust to a number of specifications. In alternate models, the county's mandated reporter employment rate was added as a control; the inclusion of this variable did not alter the results. Copyright © 2015 Elsevier Ltd. All rights reserved.

Implementation and Perceived Effectiveness of Professional Learning Communities in the Kanawha County School District in West Virginia

ERIC Educational Resources Information Center

Brucker, Elizabeth L.

2013-01-01

The purpose of this study was to investigate teachers' perceptions of levels of implementation and levels of effectiveness in improving student learning of Professional Learning Communities (PLCs) in Kanawha County Schools. This study also sought to determine differences in levels of implementation and effectiveness for five selected independent…

The availability of pharmacies in the United States: 2007-2015.

PubMed

Qato, Dima Mazen; Zenk, Shannon; Wilder, Jocelyn; Harrington, Rachel; Gaskin, Darrell; Alexander, G Caleb

2017-01-01

Despite their increasingly important role in health care delivery, little is known about the availability, and characteristics, of community pharmacies in the United States. (1) To examine trends in the availability of community pharmacies and pharmacy characteristics (24-hour, drive-up, home delivery, e-prescribing, and multilingual staffing) associated with access to prescription medications in the U.S. between 2007 and 2015; and (2) to determine whether and how these patterns varied by pharmacy type (retail chains, independents, mass retailers, food stores, government and clinic-based) and across counties. Retrospective analysis using annual data from the National Council for Prescription Drug Programs. Pharmacy locations were mapped and linked to the several publically-available data to derive information on county-level population demographics, including annual estimates of total population, percent of population that is non-English speaking, percent with an ambulatory disability and percent aged ≥65 years. The key outcomes were availability of pharmacies (total number and per-capita) and pharmacy characteristics overall, by pharmacy type, and across counties. The number of community pharmacies increased by 6.3% from 63,752 (2007) to 67,753 (2015). Retail chain and independent pharmacies persistently accounted for 40% and 35% of all pharmacies, respectively, while the remainder were comprised of mass retailer (12%), food store, (10%), clinic-based (3%) or government (<1%) pharmacies. With the exception of e-prescribing, there was no substantial change in pharmacy characteristics over time. While the number of pharmacies per 10,000 people (2.11) did not change between 2007 and 2015 at the national-level, it varied substantially across counties ranging from 0 to 13.6 per-capita in 2015. We also found that the majority of pharmacies do not offer accommodations that facilitate access to prescription medications, including home-delivery, with considerable variation by pharmacy type and across counties. For example, the provision of home-delivery services ranged from less than <1% of mass retailers to 67% of independent stores and was not associated with county demographics, including ambulatory disability population and percent of the population aged ≥65 years. Despite modest growth of pharmacies in the U.S., the availability of pharmacies, and pharmacy characteristics associated with access to prescription medications, vary substantially across local areas. Policy efforts aimed at improving access to prescription medications should ensure the availability of pharmacies and their accommodations align with local population needs.

Rising ground-water level in downtown Louisville, Kentucky, 1972-1977

USGS Publications Warehouse

Kernodle, J.M.; Whitesides, D.V.

1977-01-01

Ground-water levels in the alluvial aquifer in Louisville, Jefferson County, Kentucky, are rising at a rate which could cause wet basements and possible structural damage tc buildings in the downtown area by 1982. The predicted water level for 1982 is based on the nearly linear increase which has been observed from 1972 to 1977, during which period a rise of as much as 32 feet was recorded in water-level observation wells. Foremost among the possible causes of the rise is a decrease in withdrawal of ground water.

High-resolution mapping of vehicle emissions in China in 2008

NASA Astrophysics Data System (ADS)

Zheng, B.; Huo, H.; Zhang, Q.; Yao, Z. L.; Wang, X. T.; Yang, X. F.; Liu, H.; He, K. B.

2014-09-01

This study is the first in a series of papers that aim to develop high-resolution emission databases for different anthropogenic sources in China. Here we focus on on-road transportation. Because of the increasing impact of on-road transportation on regional air quality, developing an accurate and high-resolution vehicle emission inventory is important for both the research community and air quality management. This work proposes a new inventory methodology to improve the spatial and temporal accuracy and resolution of vehicle emissions in China. We calculate, for the first time, the monthly vehicle emissions for 2008 in 2364 counties (an administrative unit one level lower than city) by developing a set of approaches to estimate vehicle stock and monthly emission factors at county-level, and technology distribution at provincial level. We then introduce allocation weights for the vehicle kilometers traveled to assign the county-level emissions onto 0.05° × 0.05° grids based on the China Digital Road-network Map (CDRM). The new methodology overcomes the common shortcomings of previous inventory methods, including neglecting the geographical differences between key parameters and using surrogates that are weakly related to vehicle activities to allocate vehicle emissions. The new method has great advantages over previous methods in depicting the spatial distribution characteristics of vehicle activities and emissions. This work provides a better understanding of the spatial representation of vehicle emissions in China and can benefit both air quality modeling and management with improved spatial accuracy.

When Overweight Is the Normal Weight: An Examination of Obesity Using a Social Media Internet Database

PubMed Central

Kuebler, Meghan; Yom-Tov, Elad; Pelleg, Dan; Puhl, Rebecca M.; Muennig, Peter

2013-01-01

Using a large social media database, Yahoo Answers, we explored postings to an online forum in which posters asked whether their height and weight qualify themselves as “skinny,” “thin,” “fat,” or “obese” over time and across forum topics. We used these data to better understand whether a higher-than-average body mass index (BMI) in one’s county might, in some ways, be protective for one’s mental and physical health. For instance, we explored whether higher proportions of obese people in one’s county predicts lower levels of bullying or “am I fat?” questions from those with a normal BMI relative to his/her actual BMI. Most women asking whether they were themselves fat/obese were not actually fat/obese. Both men and women who were actually overweight/obese were significantly more likely in the future to ask for advice about bullying than thinner individuals. Moreover, as mean county-level BMI increased, bullying decreased and then increased again (in a U-shape curve). Regardless of where they lived, posters who asked “am I fat?” who had a BMI in the healthy range were more likely than other posters to subsequently post on health problems, but the proportions of such posters also declined greatly as county-level BMI increased. Our findings suggest that obese people residing in counties with higher levels of BMI may have better physical and mental health than obese people living in counties with lower levels of BMI by some measures, but these improvements are modest. PMID:24058478

Years of Life and Productivity Loss from Potentially Avoidable Colorectal Cancer Deaths in U.S. Counties with Lower Educational Attainment (2008–2012)

PubMed Central

Weir, Hannah K.; Li, Chunyu; Henley, S. Jane; Joseph, Djenaba

2018-01-01

Background Educational attainment (EA) is inversely associated with colorectal cancer risk. Colorectal cancer screening can save lives if precancerous polyps or early cancers are found and successfully treated. This study aims to estimate the potential productivity loss (PPL) and associated avoidable colorectal cancer–related deaths among screen-eligible adults residing in lower EA counties in the United States. Methods Mortality and population data were used to examine colorectal cancer deaths (2008–2012) among adults aged 50 to 74 years in lower EA counties, and to estimate the expected number of deaths using the mortality experience from high EA counties. Excess deaths (observed–expected) were used to estimate potential years life lost, and the human capital method was used to estimate PPL in 2012 U.S. dollars. Results County-level colorectal cancer death rates were inversely associated with county-level EA. Of the 100,857 colorectal cancer deaths in lower EA counties, we estimated that more than 21,000 (1 in 5) was potentially avoidable and resulted in nearly $2 billion annual productivity loss. Conclusions County-level EA disparities contribute to a large number of potentially avoidable colorectal cancer–related deaths. Increased prevention and improved screening potentially could decrease deaths and help reduce the associated economic burden in lower EA communities. Increased screening could further reduce deaths in all EA groups. Impact These results estimate the large economic impact of potentially avoidable colorectal cancer–related deaths in economically disadvantaged communities, as measured by lower EA. PMID:28003180

Comparison of ArcGIS and SAS Geostatistical Analyst to Estimate Population-Weighted Monthly Temperature for US Counties.

PubMed

Xiaopeng, Q I; Liang, Wei; Barker, Laurie; Lekiachvili, Akaki; Xingyou, Zhang

Temperature changes are known to have significant impacts on human health. Accurate estimates of population-weighted average monthly air temperature for US counties are needed to evaluate temperature's association with health behaviours and disease, which are sampled or reported at the county level and measured on a monthly-or 30-day-basis. Most reported temperature estimates were calculated using ArcGIS, relatively few used SAS. We compared the performance of geostatistical models to estimate population-weighted average temperature in each month for counties in 48 states using ArcGIS v9.3 and SAS v 9.2 on a CITGO platform. Monthly average temperature for Jan-Dec 2007 and elevation from 5435 weather stations were used to estimate the temperature at county population centroids. County estimates were produced with elevation as a covariate. Performance of models was assessed by comparing adjusted R 2 , mean squared error, root mean squared error, and processing time. Prediction accuracy for split validation was above 90% for 11 months in ArcGIS and all 12 months in SAS. Cokriging in SAS achieved higher prediction accuracy and lower estimation bias as compared to cokriging in ArcGIS. County-level estimates produced by both packages were positively correlated (adjusted R 2 range=0.95 to 0.99); accuracy and precision improved with elevation as a covariate. Both methods from ArcGIS and SAS are reliable for U.S. county-level temperature estimates; However, ArcGIS's merits in spatial data pre-processing and processing time may be important considerations for software selection, especially for multi-year or multi-state projects.

County-level environmental quality is differentially associated with individual- and county-level infant mortality by race

EPA Science Inventory

Human health is affected by simultaneous exposure to stressors and amenities, but research typically considers single exposures. In order to account for multiple ambient environmental conditions, we constructed an Environmental Quality Index (EQI) using principle components analy...

Water-level conditions in the upper Cape Fear Aquifer, 1994-98, in parts of Bladen and Robeson counties, North Carolina

USGS Publications Warehouse

Strickland, A.G.

1999-01-01

Water-level measurements were made on a periodic basis from October 1994 through November 1998 in 17 wells that tap the upper Cape Fear aquifer. The approximately 730-square-mile study area in Bladen and Robeson Counties is in the southern Coastal Plain of North Carolina. Water-level declines occurred in the aquifer throughout much of the area as a result of pumping during this period. The greatest decline was about 42 feet in Bladen County. Water levels from the wells in the fall of 1998 were used to construct a map of the potentiometric surface of the upper Cape Fear aquifer. This map can be used to infer the direction of ground-water movement in the aquifer. Withdrawals from wells at pumping centers, such as in the Tar Heel and Elizabethtown areas in Bladen County, have caused ground water to flow toward pumped wells, resulting in cones of depression in the potentiometric surface.

Residential radon exposure and risk of incident hematologic malignancies in the Cancer Prevention Study-II Nutrition Cohort.

PubMed

Teras, Lauren R; Diver, W Ryan; Turner, Michelle C; Krewski, Daniel; Sahar, Liora; Ward, Elizabeth; Gapstur, Susan M

2016-07-01

Dosimetric models show that radon, an established cause of lung cancer, delivers a non-negligible dose of alpha radiation to the bone marrow, as well as to lymphocytes in the tracheobronchial epithelium, and therefore could be related to risk of hematologic cancers. Studies of radon and hematologic cancer risk, however, have produced inconsistent results. To date there is no published prospective, population-based study of residential radon exposure and hematologic malignancy incidence. We used data from the American Cancer Society Cancer Prevention Study-II Nutrition Cohort established in 1992, to examine the association between county-level residential radon exposure and risk of hematologic cancer. The analytic cohort included 140,652 participants (66,572 men, 74,080 women) among which 3019 incident hematologic cancer cases (1711 men, 1308 women) were identified during 19 years of follow-up. Cox proportional hazard regression was used to calculate multivariable-adjusted hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) for radon exposure and hematologic cancer risk. Women living in counties with the highest mean radon concentrations (>148Bq/m(3)) had a statistically significant higher risk of hematologic cancer compared to those living in counties with the lowest (<74Bq/m(3)) radon levels (HR=1.63, 95% CI:1.23-2.18), and there was evidence of a dose-response relationship (HRcontinuous=1.38, 95% CI:1.15-1.65 per 100Bq/m(3); p-trend=0.001). There was no association between county-level radon and hematologic cancer risk among men. The findings of this large, prospective study suggest residential radon may be a risk factor for lymphoid malignancies among women. Further study is needed to confirm these findings. Copyright © 2016 Elsevier Inc. All rights reserved.

Community-level football injury epidemiology: traumatic injuries treated at Swedish emergency medical facilities.

PubMed

Timpka, Toomas; Schyllander, Jan; Stark Ekman, Diana; Ekman, Robert; Dahlström, Örjan; Hägglund, Martin; Kristenson, Karolina; Jacobsson, Jenny

2018-02-01

Despite the popularity of the sport, few studies have investigated community-level football injury patterns. This study examines football injuries treated at emergency medical facilities using data from three Swedish counties. An open-cohort design was used based on residents aged 0-59 years in three Swedish counties (pop. 645 520). Data were collected from emergency medical facilities in the study counties between 1 January 2007 and 31 December 2010. Injury frequencies and proportions for age groups stratified by sex were calculated with 95% confidence intervals (95% CIs) and displayed per diagnostic group and body location. Each year, more than 1/200 person aged 0-59 years sustained at least one injury during football play that required emergency medical care. The highest injury incidence was observed among adolescent boys [2009 injuries per 100 000 population years (95% CI 1914-2108)] and adolescent girls [1413 injuries per 100 000 population years (95% CI 1333-1498)]. For female adolescents and adults, knee joint/ligament injury was the outstanding injury type (20% in ages 13-17 years and 34% in ages 18-29 years). For children aged 7-12 years, more than half of the treated injuries involved the upper extremity; fractures constituted about one-third of these injuries. One of every 200 residents aged 0-59 years in typical Swedish counties each year sustained a traumatic football injury that required treatment in emergency healthcare. Further research on community-level patterns of overuse syndromes sustained by participation in football play is warranted. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Do pregnancy characteristics contribute to rising childhood cancer incidence rates in the United States?

PubMed

Kehm, Rebecca D; Osypuk, Theresa L; Poynter, Jenny N; Vock, David M; Spector, Logan G

2018-03-01

Since 1975, childhood cancer incidence rates have gradually increased in the United States; however, few studies have conducted analyses across time to unpack this temporal rise. The aim of this study was to test the hypothesis that increasing cancer incidence rates are due to secular trends in pregnancy characteristics that are established risk factors for childhood cancer incidence including older maternal age, higher birthweight, and lower birth order. We also considered temporal trends in sociodemographic characteristics including race/ethnicity and poverty. We conducted a time series county-level ecologic analysis using linked population-based data from Surveillance, Epidemiology, and End Results cancer registries (1975-2013), birth data from the National Center for Health Statistics (1970-2013), and sociodemographic data from the US Census (1970-2010). We estimated unadjusted and adjusted average annual percent changes (AAPCs) in incidence of combined (all diagnoses) and individual types of cancer among children, ages 0-4 years, from Poisson mixed models. There was a statistically significant unadjusted temporal rise in incidence of combined childhood cancers (AAPC = 0.71%; 95% CI = 0.55-0.86), acute lymphoblastic leukemia (0.78%; 0.49-1.07), acute myeloid leukemia (1.86%; 1.13-2.59), central nervous system tumors (1.31%; 0.94-1.67), and hepatoblastoma (2.70%; 1.68-3.72). Adjustment for county-level maternal age reduced estimated AAPCs between 8% (hepatoblastoma) and 55% (combined). However, adjustment for other county characteristics did not attenuate AAPCs, and AAPCs remained significantly above 0% in models fully adjusted for county-level characteristics. Although rising maternal age may account for some of the increase in childhood cancer incidence over time, other factors, not considered in this analysis, may also contribute to temporal trends. © 2017 Wiley Periodicals, Inc.

Salt-water encroachment in southern Nassau and southeastern Queens Counties, Long Island, New York

USGS Publications Warehouse

Lusczynski, N.J.; Swarzenski, Wolfgang V.

1966-01-01

Test drilling, extraction of water from cores, electric logging, water sampling, and water-level measurements from 1958 to 1961 provided a suitable basis for a substantial refinement in the definition of the positions, chloride concentrations, and rates of movement of salty water in the intermediate and deep deposits of southern Nassau County and southeastern Queens County. Filter-press, centrifugal, and dilution methods were used to extract water from cores for chloride analysis at the test-drilling sites. Chloride analysis of water extracted by these methods, chloride analyses of water from wells, and the interpretation of electric logs helped to define the chloride content of the salty water. New concepts of environmental-water head and zerovels, developed during the investigation, proved useful for defining hydraulic gradients and ratee of flow in ground water of variable density in a vertical direction and in horizontal and inclined planes, respectively. Hydraulic gradients in and between fresh and salty water were determined from water levels from data at individual and multiple-observation wells. Salty ground water occurs in southern Nassau and southeastern Queens Counties as three wedgelike extensions that project landward in unconsolidated deposits from a main body of salty water that lies seaward of the barrier beaches in Nassau County and of Jamaica Bay in Queens County. Salty water occurs not only in permeable deposits but also in the shallow and deep clay deposits. The highest chloride content of the salty ground water in the main body and the wedges is about 16,000 ppm, which is about 1,000 to 2,000 ppm less than the chloride content of ocean water. The shallow salty water in the Pleistocene and Recent deposits is connected freely with the bays, tidal estuaries, and ocean. The intermediate wedge is found only in the southwestern part of Nassau County in the upper part of the Magothy (?) Formation, in the Jamneco Gravel, and in the overlying clay deposits. It extends from the seaward areas inland about 2 miles into Island Park. The deep wedge extends into southeastern Queens County and southern Nassau County principally in the deeper parts of the Magothy (?) Formation and in the underlying clay member of the Raritan Formation. The leading edge of the deep wedge is at the base of the Magothy (?) Formation. This edge is apparently at the shoreline east of Lido Beach and extends inland about 4 miles to Woodmere and about 7 miles to South Ozone Park. Zones of diffusion as much as 6 miles wide and about 500 feet thick were delineated in the frontal part of the salty-water wedges. These thick and broad zones of diffusion were probably formed during the past 1,000 or more years in heterogeneous unconsolidated deposits by long- and short-term changes in sea level and in fresh-water outflow to the sea and by dispersion caused by the movements of the water and its salt mass. Changes in sea level and fresh-water outflow together produced appreciable advances and recessions of the salt-water front. The chemical compositions of the diffused water in all wedges are modified to some extent by base exchange and other physical and chemical processes and also by diffusion. The intermediate wedge of salty water is moving landward at a rate of less than 20 feet a year in the vicinity of Island Park and, thus, has moved less than 1,000 feet since 1900. The leading edge of the deep wedge has advanced landward at about 300 feet a :ear in Woodmere in southwestern Nassau County and about 160 feet a year at South Ozone Park in southeastern Queens County, principally under the influence of local withdrawals near the toe of the wedge. Between Hewlett and Lido Beach, the deep wedge is moving inland at the rate of about 10 feet a year under the influence of regional withdrawals in inland areas. Regional encroachment of the deep wedge is apparently retarded appreciably by cyclic flow, that is, by the return seaward in the upper

The iatrogenic epidemic of prescription drug abuse: county-level determinants of opioid availability and abuse.

PubMed

Wright, Eric R; Kooreman, Harold E; Greene, Marion S; Chambers, R Andrew; Banerjee, Aniruddha; Wilson, Jeffrey

2014-05-01

Opioid use and abuse in the United States continues to expand at an alarming rate. In this study, we examine the county-level determinants of the availability and abuse of prescription opioids to better understand the socio-ecological context, and in particular the role of the healthcare delivery system, on the prescription drug abuse epidemic. We use community-level information, data from Indiana's prescription drug monitoring program in 2011, and geospatial regression methods to identify county-level correlates of the availability and abuse of prescription opioids among Indiana's 92 counties. The findings suggest that access to healthcare generally, and to dentists and pharmacists in particular, increases the availability of prescription opioids in communities, which, in turn, is associated with higher rates of opioid abuse. The results suggest that the structure of the local healthcare system is a major determinant of community-level access to opioids adding to a growing body of evidence that the problem of prescription opioid abuse is, at least in part, an "iatrogenic epidemic." Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Disparities in health system input between minority and non-minority counties and their effects on maternal mortality in Sichuan province of western China.

PubMed

Ren, Yan; Qian, Ping; Duan, Zhanqi; Zhao, Ziling; Pan, Jay; Yang, Min

2017-09-29

The maternal mortality rate (MMR) markedly decreased in China, but there has been a significant imbalance among different geographic regions (east, central and west regions), and the mortality in the western region remains high. This study aims to examine how much disparity in the health system and MMR between ethnic minority and non-minority counties exists in Sichuan province of western China and measures conceivable commitments of the health system determinants of the disparity in MMR. The MMR and health system data of 67 minority and 116 non-minority counties were taken from Sichuan provincial official sources. The 2-level Poisson regression model was used to identify health system determinants. A series of nested models with different health system factors were fitted to decide contribution of each factor to the disparity in MMR. The MMR decreased over the last decade, with the fastest declining rate from 2006 to 2010. The minority counties experienced higher raw MMR in 2002 than non-minority counties (94.4 VS. 58.2), which still remained higher in 2014 (35.7 VS. 14.3), but the disparity of raw MMR between minority and non-minority counties decreased from 36.2 to 21.4. The better socio-economic condition, more health human resources and higher maternal health care services rate were associated with lower MMR. Hospital delivery rate alone explained 74.5% of the difference in MMR between minority and non-minority counties. All health system indicators together explained 97.6% of the ethnic difference in MMR, 59.8% in the change trend, and 66.3% county level variation respectively. Hospital delivery rate mainly determined disparity in MMR between minority and non-minority counties in Sichuan province. Increasing hospital birth rates among ethnic minority counties may narrow the disparity in MMR by more than two-thirds of the current level.

The Volume Of TV Advertisements During The ACA's First Enrollment Period Was Associated With Increased Insurance Coverage.

PubMed

Karaca-Mandic, Pinar; Wilcock, Andrew; Baum, Laura; Barry, Colleen L; Fowler, Erika Franklin; Niederdeppe, Jeff; Gollust, Sarah E

2017-04-01

The launch of the Affordable Care Act was accompanied by major insurance information campaigns by government, nonprofit, political, news media, and private-sector organizations, but it is not clear to what extent these efforts were associated with insurance gains. Using county-level data from the Census Bureau's American Community Survey and broadcast television airings data from the Wesleyan Media Project, we examined the relationship between insurance advertisements and county-level health insurance changes between 2013 and 2014, adjusting for other media and county- and state-level characteristics. We found that counties exposed to higher volumes of local insurance advertisements during the first open enrollment period experienced larger reductions in their uninsurance rates than other counties. State-sponsored advertisements had the strongest relationship with declines in uninsurance, and this relationship was driven by increases in Medicaid enrollment. These results support the importance of strategic investment in advertising to increase uptake of health insurance but suggest that not all types of advertisements will have the same effect on the public. Project HOPE—The People-to-People Health Foundation, Inc.

The effect of physician and health plan market concentration on prices in commercial health insurance markets.

PubMed

Schneider, John E; Li, Pengxiang; Klepser, Donald G; Peterson, N Andrew; Brown, Timothy T; Scheffler, Richard M

2008-03-01

The objective of this paper is to describe the market structure of health plans (HPs) and physician organizations (POs) in California, a state with high levels of managed care penetration and selective contracting. First we calculate Herfindahl-Hirschman (HHI) concentration indices for HPs and POs in 42 California counties. We then estimate a multivariable regression model to examine the relationship between concentration measures and the prices paid by HPs to POs. Price data is from Medstat MarketScan databases. The findings show that any California counties exhibit what the Department of Justice would consider high HHI concentration measures, in excess of 1,800. More than three quarters of California counties exhibit HP concentration indices over 1,800, and 83% of counties have PO concentration levels in excess of 1,800. Half of the study counties exhibited PO concentration levels in excess of 3,600, compared to only 24% for plans. Multivariate price models suggest that PO concentration is associated with higher physician prices (p < or = 0.05), whereas HP concentration does not appear to be significantly associated with higher outpatient commercial payer prices.

The reforms of the Chinese health care system: county level changes: the Jiangxi Study.

PubMed

Zheng, X; Hillier, S

1995-10-01

A survey of the economic performance of county hospitals in middle income counties in Jiangxi province was undertaken in 1989. The survey considered the impact of health policy changes in the P.R.C., especially cost recovery, decentralization, managerial changes and the promotion of traditional medicine. The financial records of county level hospitals and traditional medicine hospitals for the period 1980-89 were examined, as were patient expenditures. Opinions of those responsible for policy execution were surveyed. The data showed that hospitals from which state subsidy had been removed had become dependent on medicine sales and increasing itemization of treatment to recover costs. The insurance status of patients influenced the length of stay and levels of payment. Uninsured peasants had a shorter stay and were charged more for items of treatment. Traditional Medicine hospitals saw more outpatients than County hospitals, but were more likely to have a deficit. They were also very dependent on medicine sales for income. Most officials questioned felt that the changing system caused problems, but at the same time were eager to invest in equipment as a source of revenue.

The Impact of Local Environmental Health Capacity on Foodborne Illness Morbidity in Maryland

PubMed Central

Resnick, Beth A.; Fox, Mary A.; McGready, John; Yager, James P.; Burke, Thomas A.

2011-01-01

Objectives. We evaluated the relationship between local food protection capacity and service provision in Maryland's 24 local food protection programs (FPPs) and incidence of foodborne illness at the county level. Methods. We conducted regression analyses to determine the relationship between foodborne illness and local FPP characteristics. We used the Centers for Disease Control and Prevention's FoodNet and Maryland Department of Health and Mental Hygiene outbreak data set, along with data on Maryland's local FPP capacity (workforce size and experience levels, budget) and service provision (food service facility inspections, public notification programs). Results. Counties with higher capacity, such as larger workforce, higher budget, and greater employee experience, had fewer foodborne illnesses. Counties with better performance and county-level regulations, such as high food service facility inspection rates and requiring certified food manager programs, respectively, had lower rates of illness. Conclusions. Counties with strong local food protection capacity and services can protect the public from foodborne illness. Research on public health services can enhance our understanding of the food protection infrastructure, and the effectiveness of food protection programs in preventing foodborne illness. PMID:21750282

Guidance and Counselling: What Is the Level of Human and Physical Resource Preparedness in Providing Effective Services in Secondary Schools in Bureti Sub County, Kericho County, Kenya?

ERIC Educational Resources Information Center

Cheruiyot, David Kipkorir; Orodho, John Aluko

2015-01-01

The gist of this study was to examine the human and resource preparedness to provide effective guidance and counselling (G&C) services in secondary schools in Bureti Sub County, Kericho County, Kenya. The study used combinations of descriptive survey and correlation research designs. Stratified sampling technique was employed to select 20…

A Framework for Widespread Replication of a Highly Spatially Resolved Childhood Lead Exposure Risk Model

PubMed Central

Kim, Dohyeong; Galeano, M. Alicia Overstreet; Hull, Andrew; Miranda, Marie Lynn

2008-01-01

Background Preventive approaches to childhood lead poisoning are critical for addressing this longstanding environmental health concern. Moreover, increasing evidence of cognitive effects of blood lead levels < 10 μg/dL highlights the need for improved exposure prevention interventions. Objectives Geographic information system–based childhood lead exposure risk models, especially if executed at highly resolved spatial scales, can help identify children most at risk of lead exposure, as well as prioritize and direct housing and health-protective intervention programs. However, developing highly resolved spatial data requires labor-and time-intensive geocoding and analytical processes. In this study we evaluated the benefit of increased effort spent geocoding in terms of improved performance of lead exposure risk models. Methods We constructed three childhood lead exposure risk models based on established methods but using different levels of geocoded data from blood lead surveillance, county tax assessors, and the 2000 U.S. Census for 18 counties in North Carolina. We used the results to predict lead exposure risk levels mapped at the individual tax parcel unit. Results The models performed well enough to identify high-risk areas for targeted intervention, even with a relatively low level of effort on geocoding. Conclusions This study demonstrates the feasibility of widespread replication of highly spatially resolved childhood lead exposure risk models. The models guide resource-constrained local health and housing departments and community-based organizations on how best to expend their efforts in preventing and mitigating lead exposure risk in their communities. PMID:19079729

Roadway into Facility 314 showing the roadway cut through the ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

Roadway into Facility 314 showing the roadway cut through the slope formed by leveling the area for the CDAA, note the concrete curb on the right side of the roadway, view facing west - U.S. Naval Base, Pearl Harbor, Naval Radio Station, AF/FRD-10 Circularly Disposed Antenna Array, Wahiawa, Honolulu County, HI

Beating the Bunker: The Effect of PETTLEP Imagery on Golf Bunker Shot Performance

ERIC Educational Resources Information Center

Smith, Dave; Wright, Caroline J.; Cantwell, Cara

2008-01-01

The aim of this study was to compare the effects of physical practice with PETTLEP-based (Physical, Environment, Task, Timing, Learning, Emotion and Perspective; Holmes & Collins, 2001) imagery and PETTLEP + physical practice interventions on golf bunker shot performance. Thirty-two male county- or international-level golfers were assigned to one…

A Student Run Field Exercise in Applied Tourism Geography

ERIC Educational Resources Information Center

De Bres, Karen; Coomansingh, Johnny

2006-01-01

The purpose of this paper is to discuss the field project and the field experiences of 60 undergraduates in a lower level geography course. Cumulative based learning was the main teaching technique. The Eisenhower Center, the Dickinson County Historical Society Museum, and Old Abilene Town, a renovated/reconstructed frontier town, were selected…

Honors and the Completion Agenda: Identifying and Duplicating Student Success

ERIC Educational Resources Information Center

Trucker, Jay

2014-01-01

Longitudinal studies that track student persistence each semester serve as the primary measurement of an institution's success or failure. These studies take place at the institutional and state-wide levels as well as nationally through grant-based organizations such as Complete College America. At the Community College of Baltimore County (CCBC),…

15. DETAIL SHOWING HYDROGEN (LEFT) AND OXYGEN (RIGHT) SPHERICAL TANKS ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

15. DETAIL SHOWING HYDROGEN (LEFT) AND OXYGEN (RIGHT) SPHERICAL TANKS ON RUN LINE DECK, THIRD LEVEL. DARK TONED PIPING IS THE FIRE EXTINGUISHING SYSTEM. Looking south southwest. - Edwards Air Force Base, Air Force Rocket Propulsion Laboratory, Test Stand 1-A, Test Area 1-120, north end of Jupiter Boulevard, Boron, Kern County, CA

An Analysis of Rural Unemployment Using a Human Resources Development Perspective.

ERIC Educational Resources Information Center

Napier, Ted L.; Jarrett, Charles W.

Investigation indicated factors other than human resource variables must be used to understand unemployment status. Based on a 1979 survey of a random sample (N=640) of rural adult California residents from a multi-county development district, 15 human resource development factors (including educational level, job training, match of work skills…

Spatial analysis on human brucellosis incidence in mainland China: 2004–2010

PubMed Central

Zhang, Junhui; Yin, Fei; Zhang, Tao; Yang, Chao; Zhang, Xingyu; Feng, Zijian; Li, Xiaosong

2014-01-01

Objectives China has experienced a sharply increasing rate of human brucellosis in recent years. Effective spatial monitoring of human brucellosis incidence is very important for successful implementation of control and prevention programmes. The purpose of this paper is to apply exploratory spatial data analysis (ESDA) methods and the empirical Bayes (EB) smoothing technique to monitor county-level incidence rates for human brucellosis in mainland China from 2004 to 2010 by examining spatial patterns. Methods ESDA methods were used to characterise spatial patterns of EB smoothed incidence rates for human brucellosis based on county-level data obtained from the China Information System for Disease Control and Prevention (CISDCP) in mainland China from 2004 to 2010. Results EB smoothed incidence rates for human brucellosis were spatially dependent during 2004–2010. The local Moran test identified significantly high-risk clusters of human brucellosis (all p values <0.01), which persisted during the 7-year study period. High-risk counties were centred in the Inner Mongolia Autonomous Region and other Northern provinces (ie, Hebei, Shanxi, Jilin and Heilongjiang provinces) around the border with the Inner Mongolia Autonomous Region where animal husbandry was highly developed. The number of high-risk counties increased from 25 in 2004 to 54 in 2010. Conclusions ESDA methods and the EB smoothing technique can assist public health officials in identifying high-risk areas. Allocating more resources to high-risk areas is an effective way to reduce human brucellosis incidence. PMID:24713215

The geographic distribution of eye care providers in the United States: Implications for a national strategy to improve vision health.

PubMed

Gibson, Diane M

2015-04-01

To describe the patterns of local eye care provider availability in the US. Data from 2011 on the number of ophthalmologists and optometrists in each of the 3143 counties in the US were drawn from the Area Health Resources File. Population-weighted quartiles of the county-level number of ophthalmologists per capita and the county-level number of optometrists per capita were defined. Descriptive statistics were calculated and a cross tabulation of quartiles of ophthalmologist availability and quartiles of optometrist availability was conducted for all the counties in the US and for the set of counties in each region of the US. 24.0% of US counties had no ophthalmologists or optometrists. 60.7% of counties in the US were in one of the lower two quartiles of both ophthalmologist availability and optometrist availability, and 24.1% of counties were in one of the lower two quartiles of ophthalmologist availability but in one of the upper two quartiles of optometrist availability. Public health interventions that are effective in a context of limited local eye care provider availability or that are able to leverage optometrist availability effectively in areas with limited ophthalmologist availability could be of widespread use in the US. Copyright © 2015 Elsevier Inc. All rights reserved.

CHANGES IN THE REGIONAL PREVALENCE OF CHILD OBESITY IN 4th, 8th, AND 11th GRADE STUDENTS IN TEXAS FROM 2000–2002 TO 2004–2005

PubMed Central

Kelder, S. H.; Pérez, A.; Day, R. S.; Benoit, J.; Frankowski, R. F.; Walker, J. L.; Lee, E. S.

2016-01-01

Although national and state estimates of child obesity are available, data at these levels are insufficient to monitor effects of local obesity prevention initiatives. The purpose of this study was to examine regional changes in the prevalence of obesity due to state-wide policies and programs among children in grades 4, 8, and 11 in Texas Health Service Regions (HSR) between 2000–2002 and 2004–2005, and nine selected counties in 2004–2005. A cross-sectional, probability-based sample of 23,190 Texas students in grades 4, 8, and 11 were weighed and measured to obtain body mass index (BMI). Obesity was greater than 95th percentile for BMI by age/sex using CDC growth charts. Child obesity prevalence significantly decreased between 2000–2002 and 2004–2005 for 4th grade students in the El Paso HSR (−7.0%, p=0.005). A leveling off in the prevalence of obesity was noted for all other regions for grades 4, 8 and 11. County-level data supported the statistically significant decreases noted in the El Paso region. The reduction of child obesity levels observed in the El Paso area is one of the few examples of effective programs and policies based on a population-wide survey: in this region, a local foundation funded extensive regional implementation of community programs for obesity prevention, including an evidence-based elementary school-based health promotion program, adult nutrition and physical activity programs, and a radio and television advertising campaign. Results emphasize the need for sustained school, community and policy efforts, and that these efforts can result in decreases in child obesity at the population level. PMID:19798066

Preliminary estimates of annual agricultural pesticide use for counties of the conterminous United States, 2010-11

USGS Publications Warehouse

Baker, Nancy T.; Stone, Wesley W.

2013-01-01

This report provides preliminary estimates of annual agricultural use of 374 pesticide compounds in counties of the conterminous United States in 2010 and 2011, compiled by means of methods described in Thelin and Stone (2013). U.S. Department of Agriculture (USDA) county-level data for harvested-crop acreage were used in conjunction with proprietary Crop Reporting District (CRD)-level pesticide-use data to estimate county-level pesticide use. Estimated pesticide use (EPest) values were calculated with both the EPest-high and EPest-low methods. The distinction between the EPest-high method and the EPest-low method is that there are more counties with estimated pesticide use for EPest-high compared to EPest-low, owing to differing assumptions about missing survey data (Thelin and Stone, 2013). Preliminary estimates in this report will be revised upon availability of updated crop acreages in the 2012 Agricultural Census, to be published by the USDA in 2014. In addition, estimates for 2008 and 2009 previously published by Stone (2013) will be updated subsequent to the 2012 Agricultural Census release. Estimates of annual agricultural pesticide use are provided as downloadable, tab-delimited files, which are organized by compound, year, state Federal Information Processing Standard (FIPS) code, county FIPS code, and kg (amount in kilograms).

Structural barriers to comprehensive, coordinated HIV care: geographic accessibility in the US South.

PubMed

Kimmel, April D; Masiano, Steven P; Bono, Rose S; Martin, Erika G; Belgrave, Faye Z; Adimora, Adaora A; Dahman, Bassam; Galadima, Hadiza; Sabik, Lindsay M

2018-05-30

Structural barriers to HIV care are particularly challenging in the US South, which has higher HIV diagnosis rates, poverty, uninsurance, HIV stigma, and rurality, and fewer comprehensive public health programs versus other US regions. Focusing on one structural barrier, we examined geographic accessibility to comprehensive, coordinated HIV care (HIVCCC) in the US South. We integrated publicly available data to study travel time to HIVCCC in 16 Southern states and District of Columbia. We geocoded HIVCCC service locations and estimated drive time between the population-weighted county centroid and closest HIVCCC facility. We evaluated drive time in aggregate, and by county-level HIV prevalence quintile, urbanicity, and race/ethnicity. Optimal drive time was ≤30 min, a common primary care accessibility threshold. We identified 228 service locations providing HIVCCC across 1422 Southern counties, with median drive time to care of 70 min (IQR 64 min). For 368 counties in the top HIV prevalence quintile, median drive time is 50 min (IQR 61 min), exceeding 60 min in over one-third of these counties. Among counties in the top HIV prevalence quintile, drive time to care is six-folder higher for rural versus super-urban counties. Counties in the top HIV prevalence quintiles for non-Hispanic Blacks and for Hispanics have >50% longer drive time to care versus for non-Hispanic Whites. Including another potential care source-publicly-funded health centers serving low-income populations-could double the number of high-HIV burden counties with drive time ≤30 min, representing nearly 35,000 additional people living with HIV with accessible HIVCCC. Geographic accessibility to HIVCCC is inadequate in the US South, even in high HIV burden areas, and geographic and racial/ethnic disparities exist. Structural factors, such as geographic accessibility to care, may drive disparities in health outcomes. Further research on programmatic policies, and evidence-based alternative HIV care delivery models improving access to care, is critical.

75 FR 23595 - Final Flood Elevation Determinations

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-04

...] Elevation in meters (MSL) Modified Crittenden County, Arkansas, and Incorporated Areas Docket No.: FEMA-B... Sea Level, rounded to the nearest 0.1 meter. ADDRESSES Unincorporated Areas of Crittenden County... feet above ground. [caret] Mean Sea Level, rounded to the nearest 0.1 meter. ADDRESSES City of Grand...

Community-Level Exposure to the Rural Mining Industry: The Potential Influence on Early Adolescent Alcohol and Tobacco Use.

PubMed

Gay, Christopher; Clements-Nolle, Kristen; Packham, John; Ackerman, Gerald; Lensch, Taylor; Yang, Wei

2018-01-31

Rural youth have higher rates of alcohol and tobacco use compared to their urban counterparts. However, the economic dependence of rural communities may differentially influence risk behaviors. While research has shown that adults working in mining have elevated rates of alcohol and tobacco use, the influence of living in a mining community on early adolescent substance use is unknown. Using data from a representative sample of 4,535 middle school students in a state with heavy reliance on mining, we conducted weighted logistic regression to investigate whether community-level mining economic dependence influences rural-urban differences in adolescent alcohol and tobacco use. All models adjusted for sociodemographics, military family involvement, parental monitoring, and length of residence. Over one quarter of the sampled students lived in rural counties and approximately half of these counties met the USDA mining economic typology. After stratifying rural counties by mining and nonmining economic dependence, students in rural mining counties had significantly higher odds of all measures of alcohol use (AORs ranged from 1.83 to 3.99) and tobacco use (AORs ranged from 1.61 to 5.05) compared to students in urban counties. Only use of smokeless tobacco was higher among students in rural nonmining counties. Our findings demonstrate rural-urban disparities in adolescent substance use that are particularly pronounced among youth living in counties with economic dependence on mining. Future research on this subject should include a wider range of community-level factors that may have specific relevance in rural settings to inform the development of population-level interventions. © 2018 National Rural Health Association.

Water-level, borehole geophysical log, and water-quality data from wells transecting the freshwater/saline-water interface of the San Antonio segment of the Edwards Aquifer, South-Central Texas, 1999-2007

USGS Publications Warehouse

Lambert, Rebecca B.; Hunt, Andrew G.; Stanton, Gregory P.; Nyman, Michael B.

2009-01-01

As a part of a 9-year (1999-2007) study done by the U.S. Geological Survey in cooperation with the San Antonio Water System to improve understanding of the San Antonio segment of the Edwards aquifer, south-central Texas, in and near the freshwater/saline-water transition zone of the aquifer, the U.S. Geological Survey collected water-level, borehole geophysical, and water-quality data during 1999-2007 from 37 wells arranged in nine transects (except for two wells) across the freshwater/saline-water interface of the aquifer. This report presents the data collected and also describes the data-collection, analytical, and quality-assurance methods used. The wells, constructed with casing from land surface into the upper part of the aquifer and completed as open hole in the aquifer, are in Uvalde County (East Uvalde transect), in Medina County (South Medina and Devine wells), in Bexar County (Pitluk, Mission, and San Antonio transects), in Comal and Guadalupe Counties (Tri-County transect), in Comal County (New Braunfels transect), and in Hays County (Fish Hatchery, San Marcos, and Kyle transects). Data collected included continuous water level at 18 wells; fluid electrical conductivity and temperature with depth (fluid profiles) obtained by borehole geophysical logging of 15 wells; discrete (periodic) samples for major ions and trace elements at 36 wells; stable isotopes or stable isotopes and tritium at 27 wells; dissolved gases obtained by pumping (or collecting flow) of 19 wells; and continuous specific conductance and temperature at three of the wells equipped with continuous water-level sensors.

Sea Level Rise in Santa Clara County

NASA Technical Reports Server (NTRS)

Milesi, Cristina

2005-01-01

Presentation by Cristina Milesi, First Author, NASA Ames Research Center, Moffett Field, CA at the "Meeting the Challenge of Sea Level Rise in Santa Clara County" on June 19, 2005 Santa Clara County, bordering with the southern portion of the San Francisco Bay, is highly vulnerable to flooding and to sea level rise (SLR). In this presentation, the latest sea level rise projections for the San Francisco Bay will be discussed in the context of extreme water height frequency and extent of flooding vulnerability. I will also present preliminary estimations of levee requirements and possible mitigation through tidal restoration of existing salt ponds. The examples will draw mainly from the work done by the NASA Climate Adaptation Science Investigators at NASA Ames.

What Doesn't Kill You Makes You Weaker: Prenatal Pollution Exposure and Educational Outcomes

ERIC Educational Resources Information Center

Sanders, Nicholas J.

2012-01-01

I examine the impact of prenatal total suspended particulate (TSP) exposure on educational outcomes using county-level variation in the timing and severity of the industrial recession of the early 1980s as a shock to ambient TSPs (similar to Chay and Greenstone 2003b). I then instrument for pollution levels using county-level changes in relative…

Elementary School Project for Level Two: Resource Unit. Lincoln County Exemplary Program in Vocational Education.

ERIC Educational Resources Information Center

Lincoln County Schools, Hamlin, WV.

The occupational resource unit, one of a series encompassing grade levels one through ten, was prepared by the Lincoln County (West Virginia) Exemplary Project staff for classroom use at the second grade level or for use as a teaching model. The guide contains a synopsis of the entire unit, general objectives, behavioral objectives, teaching…

Irrigated lands assessment for water management: Technique test. [California

NASA Technical Reports Server (NTRS)

Wall, S. L.; Brown, C. E.; Eriksson, M.; Grigg, C. A.; Thomas, R. W.; Colwell, R. N.; Estes, J. E.; Tinney, L. R.; Baggett, J. O.; Sawyer, G.

1981-01-01

A procedure for estimating irrigated land using full frame LANDSAT imagery was demonstrated. Relatively inexpensive interpretation of multidate LANDSAT photographic enlargements was used to produce a map of irrigated land in California. The LANDSAT and ground maps were then linked by regression equations to enable precise estimation of irrigated land area by county, basin, and statewide. Land irrigated at least once in California in 1979 was estimated to be 9.86 million acres, with an expected error of less than 1.75% at the 99% level of confidence. To achieve the same level of error with a ground-only sample would have required 3 to 5 times as many ground sample units statewide. A procedure for relatively inexpensive computer classification of LANDSAT digital data to irrigated land categories was also developed. This procedure is based on ratios of MSS band 7 and 5, and gave good results for several counties in the Central Valley.

78 FR 255 - Resumption of the Population Estimates Challenge Program

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-03

... governmental unit. In those instances where a non-functioning county-level government or statistical equivalent...) A non-functioning county or statistical equivalent means a sub- state entity that does not function... represents a non-functioning county or statistical equivalent, the governor will serve as the chief executive...

A Recruitment Program for Critical Shortage Elementary Level Special Education Teachers and Related Service Personnel.

ERIC Educational Resources Information Center

Teas, Brenda

A county (Harris County, Texas) education agency, along with Special Education Directors and Personnel Officers from the county's 24 school districts, identified problems in recruiting special education teachers and such related service personnel as psychologists, psychological associates, educational diagnosticians, speech therapists, art…