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...

Urologist Density and County-Level Urologic Cancer Mortality

PubMed Central

Odisho, Anobel Y.; Cooperberg, Matthew R.; Fradet, Vincent; Ahmad, Ardalan E.; Carroll, Peter R.

2010-01-01

Purpose The surgical work force distribution at the county level varies widely across the United States, and the impact of differential access on cancer outcomes is unclear. We used urologists as a test case because they are the first care providers for urologic cancers, can easily be identified from available data sources, and are unevenly distributed throughout the country. The goal of this study was to determine the effect of increasing urologist density on local prostate, bladder, and kidney cancer mortality. Patients and Methods Using county-level data from the Area Resource File, US Census, National Cancer Institute, and Centers for Disease Control, regression models were built for prostate, bladder, and kidney cancer mortality, controlling for categorized urologist density, county demographics, socioeconomic factors, and preexisting health care infrastructure. Results For each of the three cancers, there was a statistically significant cancer-specific mortality reduction associated with counties that had more than zero urologists (16% to 22% reduction for prostate cancer, 17% to 20% reduction for bladder cancer, and 8% to 14% reduction for kidney cancer with increasing urologist density) relative to zero urologists. However, increasing density greater than two urologists per 100,000 people had no statistically significant impact on mortality for any of the tumors studied. Conclusion The presence of a urologist is associated with lower mortality for urologic cancers in that county, but increasing urologist density does not yield further improvements. Therefore, a nuanced and geographically aware policy toward the size and distribution of the future work force is most likely to provide the greatest population-level improvement in cancer mortality outcomes. PMID:20406931

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)...

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

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.

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

Conceptual and logical level of database modeling

NASA Astrophysics Data System (ADS)

Hunka, Frantisek; Matula, Jiri

2016-06-01

Conceptual and logical levels form the top most levels of database modeling. Usually, ORM (Object Role Modeling) and ER diagrams are utilized to capture the corresponding schema. The final aim of business process modeling is to store its results in the form of database solution. For this reason, value oriented business process modeling which utilizes ER diagram to express the modeling entities and relationships between them are used. However, ER diagrams form the logical level of database schema. To extend possibilities of different business process modeling methodologies, the conceptual level of database modeling is needed. The paper deals with the REA value modeling approach to business process modeling using ER-diagrams, and derives conceptual model utilizing ORM modeling approach. Conceptual model extends possibilities for value modeling to other business modeling approaches.

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.

Watershed Data Management (WDM) database for West Branch DuPage River streamflow simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2013

USGS Publications Warehouse

Bera, Maitreyee

2017-10-16

The U.S. Geological Survey (USGS), in cooperation with the DuPage County Stormwater Management Department, maintains a database of hourly meteorological and hydrologic data for use in a near real-time streamflow simulation system. This system is used in the management and operation of reservoirs and other flood-control structures in the West Branch DuPage River watershed in DuPage County, Illinois. The majority of the precipitation data are collected from a tipping-bucket rain-gage network located in and near DuPage County. The other meteorological data (air temperature, dewpoint temperature, wind speed, and solar radiation) are collected at Argonne National Laboratory in Argonne, Ill. Potential evapotranspiration is computed from the meteorological data using the computer program LXPET (Lamoreux Potential Evapotranspiration). The hydrologic data (water-surface elevation [stage] and discharge) are collected at U.S.Geological Survey streamflow-gaging stations in and around DuPage County. These data are stored in a Watershed Data Management (WDM) database.This report describes a version of the WDM database that is quality-assured and quality-controlled annually to ensure datasets are complete and accurate. This database is named WBDR13.WDM. It contains data from January 1, 2007, through September 30, 2013. Each precipitation dataset may have time periods of inaccurate data. This report describes the methods used to estimate the data for the periods of missing, erroneous, or snowfall-affected data and thereby improve the accuracy of these data. The other meteorological datasets are described in detail in Over and others (2010), and the hydrologic datasets in the database are fully described in the online USGS annual water data reports for Illinois (U.S. Geological Survey, 2016) and, therefore, are described in less detail than the precipitation datasets in this report.

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

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

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,…

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.

Ground-water levels in Huron County, Michigan, 2002-03

USGS Publications Warehouse

Weaver, T.L.; Blumer, S.P.; Crowley, S.L.

2008-01-01

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 collect water-level altitudes (hereafter referred to as 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 will have continuous water-level recorders, while the wells in Grant and Bingham Townships will revert to quarterly measurement status. USGS has also provided training for County or Huron Conservation District personnel to measure the water level, on a quarterly basis, in 23 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 23 quarterly-measured wells is also summarized in the 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 groundwater 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 and Harbor Beach, and monthly precipitation measured in Bad Axe (National Oceanic and Atmospheric Administration [NOAA], 2002-04; Danny Costello, NOAA hydrologist, written commun., 2003-04). In March 2003, a new low-water level for the period of this study was measured in

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

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…

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

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.

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.

Ground-water levels in Huron County, Michigan, 2006-07

USGS Publications Warehouse

Weaver, T.L.; Blumer, S.P.; Fuller, L.M.

2008-01-01

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 initially operated four continuous water-level recorders, installed from 1988 to 1991 on wells in Bingham (H5r), Fairhaven (H9r), Grant (H2r), and Lake Townships (H25Ar) and summarized the data collected in an annual or bi-annual report (fig. 1). The agreement was altered in 2003, and beginning January 1, 2004, only wells H9r and H25Ar retained continuous water-level recorders, while wells H2r and H5r reverted to quarterly or periodic measurement status 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. Well H2r was selected for periodic measurement at that time because it is completed in the glacial aquifer, which is absent in much of Huron County and well H5r, which is completed in the Marshall aquifer, was selected because the water level in the well is often perturbed as a result of pumpage from nearby production wells and does not always reflect baseline conditions within the aquifer. USGS also has provided training for County or Huron Conservation District personnel to measure the water level in 24 of the wells on a quarterly basis. USGS personnel accompany County or Huron Conservation District personnel on a semi-annual basis to provide a quality assurance/quality control check of all measurements being made. Water-level data collected from the wells is summarized in an annual or bi-annual report. The altitude of Lake Huron and precipitation are good indicators of general climatic conditions and, therefore, provide an environmental context for groundwater levels in Huron County. Figure 2 shows the meanmonthly water-level altitude of Lake Huron, averaged from

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.

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

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.

The National Environmental Public Health Tracking Network Access to Parks Indicator: A National County-Level Measure of Park Proximity

PubMed Central

Ussery, Emily Neusel; Yngve, Leah; Merriam, Dee; Whitfield, Geoffrey; Foster, Stephanie; Wendel, Arthur; Boehmer, Tegan

2017-01-01

EXECUTIVE SUMMARY Parks and recreation departments and public health organizations both work to improve the well-being of their communities. Measuring residential proximity to parks could be a specific area of shared interest, given that proximity to parks is needed for walking access, and the use of parks is, in turn, associated with many physical, social, and mental health benefits. The CDC’s publicly available National Environmental Public Health Tracking Network (NEPHTN) Access to Parks Indicator (API) focuses on one major component of access, residential proximity to parks. The API uses a commercial parks database and U.S. Census data to estimate the number and percentage of individuals in the U.S. that live within a half-mile of a park boundary, a measure commonly used to represent park proximity. The API is calculated at the state and county levels and is available for all states and counties in the U.S. Using estimates from the API, we examined the distribution of residential proximity to parks by geography and race/ethnicity. Additionally, we evaluated differences in park proximity by rural/urban status of counties. In 2010, 39% of the total U.S. population lived within a half-mile of a park. This percentage varied widely between states, ranging from 9% in West Virginia to 67% in Hawaii and 88% in the District of Columbia (DC). Park proximity was lowest among non-Hispanic whites (34.2%) and highest among individuals belonging to the non-Hispanic other race category (52.0%). Metropolitan counties had the highest percentage of residents living within a half-mile of a park (43.3%); the percentage was lower in non-metropolitan counties adjacent to a metropolitan county (15.0%) and non-metropolitan counties not adjacent to a metropolitan county (18.5%). Park proximity was higher in metropolitan counties with a larger population size and in non-metropolitan counties with a higher degree of urbanization. The NEPHTN Access to Parks Indicator provides an

The National Environmental Public Health Tracking Network Access to Parks Indicator: A National County-Level Measure of Park Proximity.

PubMed

Ussery, Emily Neusel; Yngve, Leah; Merriam, Dee; Whitfield, Geoffrey; Foster, Stephanie; Wendel, Arthur; Boehmer, Tegan

2016-01-01

Parks and recreation departments and public health organizations both work to improve the well-being of their communities. Measuring residential proximity to parks could be a specific area of shared interest, given that proximity to parks is needed for walking access, and the use of parks is, in turn, associated with many physical, social, and mental health benefits. The CDC's publicly available National Environmental Public Health Tracking Network (NEPHTN) Access to Parks Indicator (API) focuses on one major component of access, residential proximity to parks. The API uses a commercial parks database and U.S. Census data to estimate the number and percentage of individuals in the U.S. that live within a half-mile of a park boundary, a measure commonly used to represent park proximity. The API is calculated at the state and county levels and is available for all states and counties in the U.S. Using estimates from the API, we examined the distribution of residential proximity to parks by geography and race/ethnicity. Additionally, we evaluated differences in park proximity by rural/urban status of counties. In 2010, 39% of the total U.S. population lived within a half-mile of a park. This percentage varied widely between states, ranging from 9% in West Virginia to 67% in Hawaii and 88% in the District of Columbia (DC). Park proximity was lowest among non-Hispanic whites (34.2%) and highest among individuals belonging to the non-Hispanic other race category (52.0%). Metropolitan counties had the highest percentage of residents living within a half-mile of a park (43.3%); the percentage was lower in non-metropolitan counties adjacent to a metropolitan county (15.0%) and non-metropolitan counties not adjacent to a metropolitan county (18.5%). Park proximity was higher in metropolitan counties with a larger population size and in non-metropolitan counties with a higher degree of urbanization. The NEPHTN Access to Parks Indicator provides an opportunity to understand

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

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

Construction, lithologic, and water-level data for wells near the Dickson County landfill, Dickson County, Tennessee, 1995

USGS Publications Warehouse

Ladd, D.E.

1996-01-01

Organic compounds were detected in water samples collected from Sullivan Spring during several sampling events in 1994. Prior to this, the spring was the drinking-water source for two families in the Dickson, Tennessee area. An investigation was conducted by the U.S. Geological Survey, in cooperation with Dickson County Solid Waste Management, to determine if Sullivan Spring is hydraulically downgradient from the Dickson County landfill. This report describes the data collected during the investigation. Five monitoring wells were installed near the northwestern corner of the landfill at points between the landfill and Sullivan Spring. Water-level measurements were made on June 1 and 2, 1995, at these wells and 13 other wells near the landfill to determine ground- water altitudes in the area. Water-level altitudes in the five new monitoring wells and three other landfill-monitoring wells were higher (750.04 to 800.17 feet) than the altitude of Sullivan Spring (approximately 725 feet). In general, wells in topographically high areas had higher water-level altitudes than Sullivan Spring and wells near streams in lowland areas.

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 cumulative environmental quality associated with cancer incidence.

PubMed

Jagai, Jyotsna S; Messer, Lynne C; Rappazzo, Kristen M; Gray, Christine L; Grabich, Shannon C; Lobdell, Danelle T

2017-08-01

Individual environmental exposures are associated with cancer development; however, environmental exposures occur simultaneously. The Environmental Quality Index (EQI) is a county-level measure of cumulative environmental exposures that occur in 5 domains. The EQI was linked to county-level annual age-adjusted cancer incidence rates from the Surveillance, Epidemiology, and End Results (SEER) Program state cancer profiles. All-site cancer and the top 3 site-specific cancers for male and female subjects were considered. Incident rate differences (IRDs; annual rate difference per 100,000 persons) and 95% confidence intervals (CIs) were estimated using fixed-slope, random intercept multilevel linear regression models. Associations were assessed with domain-specific indices and analyses were stratified by rural/urban status. Comparing the highest quintile/poorest environmental quality with the lowest quintile/best environmental quality for overall EQI, all-site county-level cancer incidence rate was positively associated with poor environmental quality overall (IRD, 38.55; 95% CI, 29.57-47.53) and for male (IRD, 32.60; 95% CI, 16.28-48.91) and female (IRD, 30.34; 95% CI, 20.47-40.21) subjects, indicating a potential increase in cancer incidence with decreasing environmental quality. Rural/urban stratified models demonstrated positive associations comparing the highest with the lowest quintiles for all strata, except the thinly populated/rural stratum and in the metropolitan/urbanized stratum. Prostate and breast cancer demonstrated the strongest positive associations with poor environmental quality. We observed strong positive associations between the EQI and all-site cancer incidence rates, and associations differed by rural/urban status and environmental domain. Research focusing on single environmental exposures in cancer development may not address the broader environmental context in which cancers develop, and future research should address cumulative environmental

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-...

Future-Oriented Tweets Predict Lower County-Level HIV Prevalence in the United States

PubMed Central

Ireland, Molly E.; Schwartz, Hansen A.; Chen, Qijia; Ungar, Lyle; Albarracín, Dolores

2016-01-01

Objective Future orientation promotes health and well-being at the individual level. Computerized text analysis of a dataset encompassing billions of words used across the United States on Twitter tested whether community-level rates of future-oriented messages correlated with lower HIV rates and moderated the association between behavioral risk indicators and HIV. Method Over 150 million Tweets mapped to US counties were analyzed using two methods of text analysis. First, county-level HIV rates (cases per 100,000) were regressed on aggregate usage of future-oriented language (e.g., will, gonna). A second data-driven method regressed HIV rates on individual words and phrases. Results Results showed that counties with higher rates of future tense on Twitter had fewer HIV cases, independent of strong structural predictors of HIV such as population density. Future-oriented messages also appeared to buffer health risk: Sexually transmitted infection rates and references to risky behavior on Twitter were associated with higher HIV prevalence in all counties except those with high rates of future orientation. Data-driven analyses likewise showed that words and phrases referencing the future (e.g., tomorrow, would be) correlated with lower HIV prevalence. Conclusion Integrating big data approaches to text analysis and epidemiology with psychological theory may provide an inexpensive, real-time method of anticipating outbreaks of HIV and etiologically similar diseases. PMID:26651466

Predicting county-level southern pine beetle outbreaks from neighborhood patterns

USDA-ARS?s Scientific Manuscript database

The southern pine beetle (Dendroctonus frontalis, Coleoptera: Curculionidae) is the most destructive insect in southern forests. States have kept county-level records on the locations of beetle outbreaks for the past forty-eight years. In this study, we seek to determine how accurately patterns of c...

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.

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.

Selected Hydrogeologic Data for the High Plains Aquifer in Southwestern Laramie County, Wyoming, 1931-2006

USGS Publications Warehouse

Hallberg, Laura L.; Mason, Jon P.

2007-01-01

The U.S. Geological Survey, in cooperation with the Wyoming State Engineer's Office, created a hydrogeologic database for southwestern Laramie County, Wyoming. The database contains records from 166 wells and test holes drilled during 1931-2006. Several types of information, including well construction; well or test hole locations; lithologic logs; gamma, neutron, spontaneous-potential, and single-point resistivity logs; water levels; and transmissivities and storativities estimated from aquifer tests, are available in the database. Most wells and test holes in the database have records containing information about construction, location, and lithology; 77 wells and test holes have geophysical logs; 70 wells have tabulated water-level data; and 60 wells have records of aquifer-test results.

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.

[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.

RPA tree-level database users guide

Treesearch

Patrick D. Miles; Scott A. Pugh; Brad Smith; Sonja N. Oswalt

2014-01-01

The Forest and Rangeland Renewable Resources Planning Act (RPA) of 1974 calls for a periodic assessment of the Nation's renewable resources. The Forest Inventory and Analysis (FIA) program of the U.S. Forest Service supports the RPA effort by providing information on the forest resources of the United States. The RPA tree-level database (RPAtreeDB) was generated...

Lead Concentration Levels in Water Samples Collected in Alameda County, CA

NASA Astrophysics Data System (ADS)

Sethy, D.; Hoang, R.; Yu, I.; Hernandez, N.; Fang, K.; Zhang, W.; Li, J.; Munui, K. N.; Sot, R.; Luong, K.; Bonzo, R.; Sankar, R.; Chiu, D.; Rodriguez, V. A.

2016-12-01

The recent health crisis in Flint, Michigan has attracted an amount of interest in other public utilities' water supplies and infrastructure with regards to concerns over the presence of lead. In an effort to begin assessing the potential for a health crisis similar to that experienced in Flynt, during 2016 our team measured lead concentration levels in water samples by collected in Alameda County. More than 12 sites were selected from which samples were collected. These sites included parks, schools, and private residences. At each site 500mL samples were collected and prepared for later analysis. Samples were subjected to an analytical chemistry technique designed to isolate and concentrate lead to detectable levels of 1 part per billion (ppb). All 8 samples yielded detectable levels of lead; all samples were also well below the EPA regulatory 15 ppb. Two samples collected in West Oakland parks were found to have the highest and lowest levels: DeFremery (4 ppb) and Raimondi (1ppb), respectively. Though preliminary in nature, results from this study suggest that further investigations should be undertaken to assess possible lead contamination associated with drinking water sources in Alameda County.

Urban density and the metabolic reach of metropolitan areas: A panel analysis of per capita transportation emissions at the county-level.

PubMed

Ergas, Christina; Clement, Matthew; McGee, Julius

2016-07-01

We engage a tension in the urban environment literature that positions cities as both drivers of environmental destruction and loci of environmental protection. We argue that the traditional binary view of cities as either harmful or beneficial is too simplistic; we advance a more nuanced understanding of cities to study their internal and external metabolic effects in terms of carbon emissions from on-road transportation at the county-level across the continental United States between 2002 and 2007. First, utilizing satellite imagery from the National Land Cover Database, we create a novel measure of population density by quantifying the number of people per square mile of impervious surface area. Second, we develop a measure of metropolitan adjacency from the rural classifications datasets published by the USDA. In spatial regression models, we find that while higher density reduces emissions, counties that are geographically isolated from metropolitan areas actually have lower per capita emissions, all else equal. We elaborate on the conceptual, methodological, and practical implications of our study in the conclusion. Copyright © 2016 Elsevier Inc. All rights reserved.

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.

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.

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.

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.

[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.

Palaeo sea-level and ice-sheet databases: problems, strategies and perspectives

NASA Astrophysics Data System (ADS)

Rovere, Alessio; Düsterhus, André; Carlson, Anders; Barlow, Natasha; Bradwell, Tom; Dutton, Andrea; Gehrels, Roland; Hibbert, Fiona; Hijma, Marc; Horton, Benjamin; Klemann, Volker; Kopp, Robert; Sivan, Dorit; Tarasov, Lev; Törnqvist, Torbjorn

2016-04-01

Databases of palaeoclimate data have driven many major developments in understanding the Earth system. The measurement and interpretation of palaeo sea-level and ice-sheet data that form such databases pose considerable challenges to the scientific communities that use them for further analyses. In this paper, we build on the experience of the PALSEA (PALeo constraints on SEA level rise) community, which is a working group inside the PAGES (Past Global Changes) project, to describe the challenges and best strategies that can be adopted to build a self-consistent and standardised database of geological and geochemical data related to palaeo sea levels and ice sheets. Our aim in this paper is to identify key points that need attention and subsequent funding when undertaking the task of database creation. We conclude that any sea-level or ice-sheet database must be divided into three instances: i) measurement; ii) interpretation; iii) database creation. Measurement should include postion, age, description of geological features, and quantification of uncertainties. All must be described as objectively as possible. Interpretation can be subjective, but it should always include uncertainties and include all the possible interpretations, without unjustified a priori exclusions. We propose that, in the creation of a database, an approach based on Accessibility, Transparency, Trust, Availability, Continued updating, Completeness and Communication of content (ATTAC3) must be adopted. Also, it is essential to consider the community structure that creates and benefits of a database. We conclude that funding sources should consider to address not only the creation of original data in specific research-question oriented projects, but also include the possibility to use part of the funding for IT-related and database creation tasks, which are essential to guarantee accessibility and maintenance of the collected data.

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.

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.

School District Evaluation: Database Warehouse Support.

ERIC Educational Resources Information Center

Adcock, Eugene P.; Haseltine, Reginald

The Prince George's County (Maryland) school system has developed a database warehouse system as an evaluation data support tool for fulfilling the system's information demands. This paper described the Research and Evaluation Assimilation Database (READ) warehouse support system and considers the requirements for data used in evaluation and how…

Social Capital and Human Mortality: Explaining the Rural Paradox with County-Level Mortality Data

PubMed Central

Jensen, Leif; Haran, Murali

2014-01-01

The “rural paradox” refers to standardized mortality rates in rural areas that are unexpectedly low in view of well-known economic and infrastructural disadvantages there. We explore this paradox by incorporating social capital, a promising explanatory factor that has seldom been incorporated into residential mortality research. We do so while being attentive to spatial dependence, a statistical problem often ignored in mortality research. Analyzing data for counties in the contiguous United States, we find that: (1) the rural paradox is confirmed with both metro/non-metro and rural-urban continuum codes, (2) social capital significantly reduces the impacts of residence on mortality after controlling for race/ethnicity and socioeconomic covariates, (3) this attenuation is greater when a spatial perspective is imposed on the analysis, (4) social capital is negatively associated with mortality at the county level, and (5) spatial dependence is strongly in evidence. A spatial approach is necessary in county-level analyses such as ours to yield unbiased estimates and optimal model fit. PMID:25392565

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.

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

County-level heat vulnerability of urban and rural residents in Tibet, China.

PubMed

Bai, Li; Woodward, Alistair; Cirendunzhu; Liu, Qiyong

2016-01-12

Tibet is especially vulnerable to climate change due to the relatively rapid rise of temperature over past decades. The effects on mortality and morbidity of extreme heat in Tibet have been examined in previous studies; no heat adaptation initiatives have yet been implemented. We estimated heat vulnerability of urban and rural populations in 73 Tibetan counties and identified potential areas for public health intervention and further research. According to data availability and vulnerability factors identified previously in Tibet and elsewhere, we selected 10 variables related to advanced age, low income, illiteracy, physical and mental disability, small living spaces and living alone. We separately created and mapped county-level cumulative heat vulnerability indices for urban and rural residents by summing up factor scores produced by a principal components analysis (PCA). For both study populations, PCA yielded four factors with similar structure. The components for rural and urban residents explained 76.5 % and 77.7 % respectively of the variability in the original vulnerability variables. We found spatial variability of heat vulnerability across counties, with generally higher vulnerability in high-altitude counties. Although we observed similar median values and ranges of the cumulative heat vulnerability index values among urban and rural residents overall, the pattern varied strongly from one county to another. We have developed a measure of population vulnerability to high temperatures in Tibet. These are preliminary findings, but they may assist targeted adaptation plans in response to future rapid warming in Tibet.

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…

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

Multilevel model to estimate county-level untreated dental caries among US children aged 6-9years using the National Health and Nutrition Examination Survey.

PubMed

Lin, Mei; Zhang, Xingyou; Holt, James B; Robison, Valerie; Li, Chien-Hsun; Griffin, Susan O

2018-06-01

Because conducting population-based oral health screening is resource intensive, oral health data at small-area levels (e.g., county-level) are not commonly available. We applied the multilevel logistic regression and poststratification method to estimate county-level prevalence of untreated dental caries among children aged 6-9years in the United States using data from the National Health and Nutrition Examination Survey (NHANES) 2005-2010 linked with various area-level data at census tract, county and state levels. We validated model-based national estimates against direct estimates from NHANES. We also compared model-based estimates with direct estimates from select State Oral Health Surveys (SOHS) at state and county levels. The model with individual-level covariates only and the model with individual-, census tract- and county-level covariates explained 7.2% and 96.3% respectively of overall county-level variation in untreated caries. Model-based county-level prevalence estimates ranged from 4.9% to 65.2% with median of 22.1%. The model-based national estimate (19.9%) matched the NHANES direct estimate (19.8%). We found significantly positive correlations between model-based estimates for 8-year-olds and direct estimates from the third-grade State Oral Health Surveys (SOHS) at state level for 34 states (Pearson coefficient: 0.54, P=0.001) and SOHS estimates at county level for 53 New York counties (Pearson coefficient: 0.38, P=0.006). This methodology could be a useful tool to characterize county-level disparities in untreated dental caries among children aged 6-9years and complement oral health surveillance to inform public health programs especially when local-level data are not available although the lack of external validation due to data unavailability should be acknowledged. Published by Elsevier Inc.

Preliminary maps of Quaternary deposits and liquefaction susceptibility, nine-county San Francisco Bay region, California: a digital database

USGS Publications Warehouse

Knudsen, Keith L.; Sowers, Janet M.; Witter, Robert C.; Wentworth, Carl M.; Helley, Edward J.; Nicholson, Robert S.; Wright, Heather M.; Brown, Katherine H.

2000-01-01

This report presents a preliminary map and database of Quaternary deposits and liquefaction susceptibility for the nine-county San Francisco Bay region, together with a digital compendium of ground effects associated with past earthquakes in the region. The report consists of (1) a spatial database of fivedata layers (Quaternary deposits, quadrangle index, and three ground effects layers) and two text layers (a labels and leaders layer for Quaternary deposits and for ground effects), (2) two small-scale colored maps (Quaternary deposits and liquefaction susceptibility), (3) a text describing the Quaternary map, liquefaction interpretation, and the ground effects compendium, and (4) the databse description pamphlet. The nine counties surrounding San Francisco Bay straddle the San Andreas fault system, which exposes the region to serious earthquake hazard (Working Group on California Earthquake Probabilities, 1999). Much of the land adjacent to the Bay and the major rivers and streams is underlain by unconsolidated deposits that are particularly vulnerable to earthquake shaking and liquefaction of water-saturated granular sediment. This new map provides a modern and regionally consistent treatment of Quaternary surficial deposits that builds on the pioneering mapping of Helley and Lajoie (Helley and others, 1979) and such intervening work as Atwater (1982), Helley and others (1994), and Helley and Graymer (1997a and b). Like these earlier studies, the current mapping uses geomorphic expression, pedogenic soils, and inferred depositional environments to define and distinguish the map units. In contrast to the twelve map units of Helley and Lajoie, however, this new map uses a complex stratigraphy of some forty units, which permits a more realistic portrayal of the Quaternary depositional system. The two colored maps provide a regional summary of the new mapping at a scale of 1:275,000, a scale that is sufficient to show the general distribution and relationships of

Groundwater-level data from an earthen dam site in southern Westchester County, New York

USGS Publications Warehouse

Noll, Michael L.; Chu, Anthony

2018-05-01

In 2005, the U.S. Geological Survey began a cooperative study with New York City Department of Environmental Protection to characterize the local groundwater-flow system and identify potential sources of seeps on the southern embankment of the Hillview Reservoir in Westchester County, New York. Groundwater levels were collected at 49 wells at Hillview Reservoir, and 1 well in northern Bronx County, from April 2005 through November 2016. Groundwater levels were measured discretely with a chalked steel or electric tape, or continuously with a digital pressure transducer, or both, in accordance with U.S. Geological Survey groundwatermeasurement standards. These groundwater-level data were plotted as time series and are presented in this report as hydrographs. Twenty-eight of the 50 hydrographs have continuous record and discrete field groundwater-level measurements, 22 of the hydrographs contain only discrete measurements.

Water-quality and ground-water-level data, Bernalillo County, central New Mexico, 1995

USGS Publications Warehouse

Rankin, D.R.

1996-01-01

Water-quality and ground-water-level data were collected in two areas of eastern Bernalillo County in central New Mexico between March and July of 1995. Fifty-one wells, two springs, and the Ojo Grande Acequia in the east mountain area of Bernalillo County and nine wells in the northeast area of the city of Albuquerque were sampled. The water samples were analyzed for selected nutrient species; total organic carbon; major dissolved constituents; dissolved arsenic, boron, iron, and manganese; and methylene blue active substances. Analytical results were used to compute hardness, sodium adsorption ratio, and dissolved solids. Specific conductance, pH, temperature, and alkalinity were measured in the field at the time of sample collection. Ground- water-level and well-depth measurements were made at the time of sample collection when possible. Water-quality data, ground- water-level data, and well-depth data are presented in tabular form.

Unconsolidated Aquifers in Tompkins County, New York

USGS Publications Warehouse

Miller, Todd S.

2000-01-01

Unconsolidated aquifers consisting of saturated sand and gravel are capable of supplying large quantities of good-quality water to wells in Tompkins County, but little published geohydrologic inform ation on such aquifers is available. In 1986, the U.S.Geological Survey (USGS) began collecting geohydrologic information and well data to construct an aquifer map showing the extent of unconsolidated aquifers in Tompkins county. Data sources included (1) water-well drillers. logs; (2) highway and other construction test-boring logs; (3) well data gathered by the Tompkins County Department of Health, (4) test-well logs from geohydrologic consultants that conducted projects for site-specific studies, and (5) well data that had been collected during past investigations by the USGS and entered into the National Water Information System (NWIS) database. In 1999, the USGS, in cooperation with the Tompkins County Department of Planning, compiled these data to construct this map. More than 600 well records were entered into the NWIS database in 1999 to supplement the 350 well records already in the database; this provided a total of 950 well records. The data were digitized and imported into a geographic information system (GIS) coverage so that well locations could be plotted on a map, and well data could be tabulated in a digital data base through ARC/INFO software. Data on the surficial geology were used with geohydrologic data from well records and previous studies to delineate the extent of aquifers on this map. This map depicts (1) the extent of unconsolidated aquifers in Tompkins County, and (2) locations of wells whose records were entered into the USGS NWIS database and made into a GIS digital coverage. The hydrologic information presented here is generalized and is not intended for detailed site evaluations. Precise locations of geohydrologic-unit boundaries, and a description of the hydrologic conditions within the units, would require additional detailed, site

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

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.

2008 rural national transit database

DOT National Transportation Integrated Search

2008-01-01

This spreadsheet includes the following data from the 2008 Rural National Transit Database: : > Sub-Recipient Information : > Service Data : > Revenue Vehicle Inventory : > Counties Served : Each one of the categories above are in worksheets within t...

Individual- and County-Level Religious Participation, Corporal Punishment, and Physical Abuse of Children: An Exploratory study.

PubMed

Wolf, Jennifer Price; Kepple, Nancy Jo

2016-10-01

Parental religiosity has been associated with corporal punishment. However, most of this research has focused exclusively on Christians and has not examined physical abuse. In addition, little is known about how the larger religious environment might be associated with discipline behaviors. In this exploratory study, we examine how individual- and county-level religious attendance are related to corporal punishment and physical abuse. We sampled and surveyed 3,023 parents of children aged 12 and younger from 50 mid-sized California cities. We used weighted Poisson models to calculate the frequency of corporal punishment and physical abuse in the past year. Parents who attend religious groups used corporal punishment more frequently than parents who did not attend religious groups. However, those who lived in counties with greater rates of religious participation used corporal punishment less frequently than those living in counties with lower rates of religious participation. There were no effects for religious participation on physical abuse at the individual or county level. This exploratory study suggests that parents who attend religious groups may be more likely to use some types of physical discipline with children. Religious groups could be imparting parenting norms supporting corporal punishment at the individual level. More research examining specific doctrines and faiths is needed to validate the study findings.

Targeted health department expenditures benefit birth outcomes at the county level.

PubMed

Bekemeier, Betty; Yang, Youngran; Dunbar, Matthew D; Pantazis, Athena; Grembowski, David E

2014-06-01

Public health leaders lack evidence for making decisions about the optimal allocation of resources across local health department (LHD) services, even as limited funding has forced cuts to public health services while local needs grow. A lack of data has also limited examination of the outcomes of targeted LHD investments in specific service areas. This study used unique, detailed LHD expenditure data gathered from state health departments to examine the influence of maternal and child health (MCH) service investments by LHDs on health outcomes. A multivariate panel time-series design was used in 2013 to estimate ecologic relationships between 2000-2010 LHD expenditures on MCH and county-level rates of low birth weight and infant mortality. The unit of analysis was 102 LHD jurisdictions in Washington and Florida. Results indicate that LHD expenditures on MCH services have a beneficial relationship with county-level low birth weight rates, particularly in counties with high concentrations of poverty. This relationship is stronger for more targeted expenditure categories, with expenditures in each of the three specific examined MCH service areas demonstrating the strongest effects. Findings indicate that specific LHD investments in MCH have an important effect on related health outcomes for populations in poverty and likely help reduce the costly burden of poor birth outcomes for families and communities. These findings underscore the importance of monitoring the impact of these evolving investments and ensuring that targeted, beneficial investments are not lost but expanded upon across care delivery systems. Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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.

Solar Sail Propulsion Technology Readiness Level Database

NASA Technical Reports Server (NTRS)

Adams, Charles L.

2004-01-01

The NASA In-Space Propulsion Technology (ISPT) Projects Office has been sponsoring 2 solar sail system design and development hardware demonstration activities over the past 20 months. Able Engineering Company (AEC) of Goleta, CA is leading one team and L Garde, Inc. of Tustin, CA is leading the other team. Component, subsystem and system fabrication and testing has been completed successfully. The goal of these activities is to advance the technology readiness level (TRL) of solar sail propulsion from 3 towards 6 by 2006. These activities will culminate in the deployment and testing of 20-meter solar sail system ground demonstration hardware in the 30 meter diameter thermal-vacuum chamber at NASA Glenn Plum Brook in 2005. This paper will describe the features of a computer database system that documents the results of the solar sail development activities to-date. Illustrations of the hardware components and systems, test results, analytical models, relevant space environment definition and current TRL assessment, as stored and manipulated within the database are presented. This database could serve as a central repository for all data related to the advancement of solar sail technology sponsored by the ISPT, providing an up-to-date assessment of the TRL of this technology. Current plans are to eventually make the database available to the Solar Sail community through the Space Transportation Information Network (STIN).

Racial/Ethnic and County-level Disparity in Inpatient Utilization among Hawai'i Medicaid Population.

PubMed

Siriwardhana, Chathura; Lim, Eunjung; Aggarwal, Lovedhi; Davis, James; Hixon, Allen; Chen, John J

2018-05-01

We investigated racial/ethnic and county-level disparities in inpatient utilization for 15 clinical conditions among Hawaii's Medicaid population. The study was conducted using inpatient claims data from more than 200,000 Hawai'i Medicaid beneficiaries, reported in the year 2010. The analysis was performed by stratifying the Medicaid population into three age groups: children and adolescent group (1-20 years), adult group (21-64 years), and elderly group (65 years and above). Among the differences found, Asians had a low probability of inpatient admissions compared to Whites for many disease categories, while Native Hawaiian/Pacific Islanders had higher probabilities than Whites, across all age groups. Pediatric and adult groups from Hawai'i County (Big Island) had lower probabilities for inpatient admissions compared to Honolulu County (O'ahu) for most disease conditions, but higher probabilities were observed for several conditions in the elderly group. Notably, the elderly population residing on Kaua'i County (Kaua'i and Ni'ihau islands) had substantially increased odds of hospital admissions for several disease conditions, compared to Honolulu.

Individual and county-level religious participation, corporal punishment, and physical abuse of children: An exploratory study

PubMed Central

Wolf, Jennifer Price; Kepple, Nancy J.

2016-01-01

Background Parental religiosity has been associated with corporal punishment. However, most of this research has focused exclusively on Christians and has not examined physical abuse. Additionally, little is known about how the larger religious environment might be associated with discipline behaviors. In this exploratory study, we examine how individual and county-level religious attendance are related to corporal punishment and physical abuse. Method We sampled and surveyed 3,023 parents of children aged 12 and younger from 50 mid-sized California cities. We used weighted Poisson models to calculate the frequency of corporal punishment and physical abuse in the past year. Results Parents who attend religious groups used corporal punishment more frequently than parents who did not attend religious groups. However, those who lived in counties with greater rates of religious participation used corporal punishment less frequently than those living in counties with lower rates of religious participation. There were no effects for religious participation on physical abuse at the individual or county level. Discussion This exploratory study suggests that parents who attend religious groups may be more likely to use some types of physical discipline with children. Religious groups could be imparting parenting norms supporting corporal punishment at the individual level. More research examining specific doctrines and faiths is needed to validate the study findings. PMID:29294609

Implications of allometric model selection for county-level biomass mapping.

PubMed

Duncanson, Laura; Huang, Wenli; Johnson, Kristofer; Swatantran, Anu; McRoberts, Ronald E; Dubayah, Ralph

2017-10-18

Carbon accounting in forests remains a large area of uncertainty in the global carbon cycle. Forest aboveground biomass is therefore an attribute of great interest for the forest management community, but the accuracy of aboveground biomass maps depends on the accuracy of the underlying field estimates used to calibrate models. These field estimates depend on the application of allometric models, which often have unknown and unreported uncertainties outside of the size class or environment in which they were developed. Here, we test three popular allometric approaches to field biomass estimation, and explore the implications of allometric model selection for county-level biomass mapping in Sonoma County, California. We test three allometric models: Jenkins et al. (For Sci 49(1): 12-35, 2003), Chojnacky et al. (Forestry 87(1): 129-151, 2014) and the US Forest Service's Component Ratio Method (CRM). We found that Jenkins and Chojnacky models perform comparably, but that at both a field plot level and a total county level there was a ~ 20% difference between these estimates and the CRM estimates. Further, we show that discrepancies are greater in high biomass areas with high canopy covers and relatively moderate heights (25-45 m). The CRM models, although on average ~ 20% lower than Jenkins and Chojnacky, produce higher estimates in the tallest forests samples (> 60 m), while Jenkins generally produces higher estimates of biomass in forests < 50 m tall. Discrepancies do not continually increase with increasing forest height, suggesting that inclusion of height in allometric models is not primarily driving discrepancies. Models developed using all three allometric models underestimate high biomass and overestimate low biomass, as expected with random forest biomass modeling. However, these deviations were generally larger using the Jenkins and Chojnacky allometries, suggesting that the CRM approach may be more appropriate for biomass mapping with lidar. These

Geologic map database of the El Mirage Lake area, San Bernardino and Los Angeles Counties, California

USGS Publications Warehouse

Miller, David M.; Bedford, David R.

2000-01-01

This geologic map database for the El Mirage Lake area describes geologic materials for the dry lake, parts of the adjacent Shadow Mountains and Adobe Mountain, and much of the piedmont extending south from the lake upward toward the San Gabriel Mountains. This area lies within the western Mojave Desert of San Bernardino and Los Angeles Counties, southeastern California. The area is traversed by a few paved highways that service the community of El Mirage, and by numerous dirt roads that lead to outlying properties. An off-highway vehicle area established by the Bureau of Land Management encompasses the dry lake and much of the land north and east of the lake. The physiography of the area consists of the dry lake, flanking mud and sand flats and alluvial piedmonts, and a few sharp craggy mountains. This digital geologic map database, intended for use at 1:24,000-scale, describes and portrays the rock units and surficial deposits of the El Mirage Lake area. The map database was prepared to aid in a water-resource assessment of the area by providing surface geologic information with which deepergroundwater-bearing units may be understood. The area mapped covers the Shadow Mountains SE and parts of the Shadow Mountains, Adobe Mountain, and El Mirage 7.5-minute quadrangles. The map includes detailed geology of surface and bedrock deposits, which represent a significant update from previous bedrock geologic maps by Dibblee (1960) and Troxel and Gunderson (1970), and the surficial geologic map of Ponti and Burke (1980); it incorporates a fringe of the detailed bedrock mapping in the Shadow Mountains by Martin (1992). The map data were assembled as a digital database using ARC/INFO to enable wider applications than traditional paper-product geologic maps and to provide for efficient meshing with other digital data bases prepared by the U.S. Geological Survey's Southern California Areal Mapping Project.

Florida City & County Government. A Teacher Handbook for the High School Level.

ERIC Educational Resources Information Center

Gutierrez, Robert; And Others

Designed to remedy student's lack of opportunity to learn about the decision making process at the city or county government levels, this teacher handbook focuses on local government in Florida. The subject areas around which units and corresponding lessons are developed include: (1) the foundations of local government, history, legal roles, home…

Different Places, Different Stories: A Study of Spatial Heterogeneity of County-Level Fertility in China

PubMed Central

Wang, Donghui; Chi, Guangqing

2018-01-01

Background China has been characterized by persistently low fertility rates since the 1990s. Existing literature has examined the relationships of fertility levels with social, economic, and policy-related determinants. However, the possible spatial variations in these relationships have not been investigated. Objective The purpose of this study is to examine the potential spatially varying relationships between county-level fertility rates and policy and socioeconomic factors in China. Methods Using geocoded 2010 county-level census data, this study adopts the geographically weighted regression (GWR) method to identify place-specific relationships between county-level total fertility rate (TFR) and socioeconomics and policy-related factors. Conclusions We find relationships between TFR and widely used social, economic, and policy-related factors (rural Hukou, ethnic minority, female education, net migration rate, poor living standard, sex ratio at birth, and fertility policy compliance ratio) vary spatially in terms of the direction, strength, and magnitude. The spatial variation is largely due to the difference in local characteristics. The differences and the complexities of localities cannot be told by a single story of either government intervention or socioeconomic development. Contribution This study extends the existing fertility research in China by explicitly recognizing the spatial heterogeneity in the impacts of policy and socioeconomic factors on the local fertility rate. This study sets the stage for future research that will contextually analyze varying fertility rates at the sub-national level in China and other countries. PMID:29593449

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

Driven to Support: Individual- and County-Level Factors Associated With Public Support for Active Transportation Policies.

PubMed

Cradock, Angie L; Barrett, Jessica L; Chriqui, Jamie F; Evenson, Kelly R; Goins, Karin Valentine; Gustat, Jeanette; Heinrich, Katie M; Perry, Cynthia K; Scanze, Michele; Schmid, Thomas L; Tabak, Rachel G; Umstattd Meyer, M Renee; Valko, Cheryl

2018-03-01

To assess predictors of stated support for policies promoting physically active transportation. Cross-sectional. US counties selected on county-level physical activity and obesity health status. Participants completing random-digit dialed telephone survey (n = 906). Survey measures assessed stated support for 5 policies to promote physically active transportation, access to active transportation facilities, and time spent in a car. County-level estimates included household car dependence and funding for bicycle-pedestrian projects. Multivariable generalized linear mixed models using binary distribution and logit link, accounting for clustering within county. Respondents supported policies for accommodating bicyclists and pedestrians through street improvements (89%), school active transportation programs (75%), employer-funded active commuting incentives (67%), and allocation of public funding (68%) and tax support (56%) for building and maintaining public transit. Residents spending >2 h/d (vs <0.7 hours) in cars were more likely to support street (odds ratio [OR]: 1.87; confidence interval [CI]: 1.09-3.22) and public transit (OR: 1.85; CI: 1.24-2.77) improvements. Residents in counties investing >$1.6 million in bicycle and pedestrian improvements expressed greater support for funding (OR: 1.71; CI: 1.04-2.83) and tax increases (OR: 1.73; CI: 1.08-2.75) for transit improvements compared to those with lower prior investments (<$276 100). Support for policies to enable active transportation is higher where relevant investments in active transportation infrastructure are large (>$1.6 M), public transit is nearby, and respondents drive >2 h/d.

Rehabilitation at the County Jail Level: A Model Program.

ERIC Educational Resources Information Center

Stearns, James D.

The Ingham County, Michigan, Jail Rehabilitation Program is described. Attempting, as it does, to deal constructively with cell- and subsequent street-adjustment, the program is concerned with counseling and rehabilitation, and the provision of a bridge to the community. Efforts have been hindered by the brevity of sentences in a county jail, the…

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)

Palaeo-sea-level and palaeo-ice-sheet databases: problems, strategies, and perspectives

NASA Astrophysics Data System (ADS)

Düsterhus, André; Rovere, Alessio; Carlson, Anders E.; Horton, Benjamin P.; Klemann, Volker; Tarasov, Lev; Barlow, Natasha L. M.; Bradwell, Tom; Clark, Jorie; Dutton, Andrea; Gehrels, W. Roland; Hibbert, Fiona D.; Hijma, Marc P.; Khan, Nicole; Kopp, Robert E.; Sivan, Dorit; Törnqvist, Torbjörn E.

2016-04-01

Sea-level and ice-sheet databases have driven numerous advances in understanding the Earth system. We describe the challenges and offer best strategies that can be adopted to build self-consistent and standardised databases of geological and geochemical information used to archive palaeo-sea-levels and palaeo-ice-sheets. There are three phases in the development of a database: (i) measurement, (ii) interpretation, and (iii) database creation. Measurement should include the objective description of the position and age of a sample, description of associated geological features, and quantification of uncertainties. Interpretation of the sample may have a subjective component, but it should always include uncertainties and alternative or contrasting interpretations, with any exclusion of existing interpretations requiring a full justification. During the creation of a database, an approach based on accessibility, transparency, trust, availability, continuity, completeness, and communication of content (ATTAC3) must be adopted. It is essential to consider the community that creates and benefits from a database. We conclude that funding agencies should not only consider the creation of original data in specific research-question-oriented projects, but also include the possibility of using part of the funding for IT-related and database creation tasks, which are essential to guarantee accessibility and maintenance of the collected data.

Effects of decreased ground-water withdrawal on ground-water levels and chloride concentrations in Camden County, Georgia, and ground-water levels in Nassau County, Florida, from September 2001 to May 2003

USGS Publications Warehouse

Peck, Michael F.; McFadden, Keith W.; Leeth, David C.

2005-01-01

During October 2002, the Durango Paper Company formerly Gillman Paper Company) in St. Marys, Georgia, shut down paper-mill operations; the shutdown resulted in decreased ground-water withdrawal in Camden County by 35.6 million gallons per day. The decrease in withdrawal resulted in water-level rise in wells completed in the Floridan aquifer system and the overlying surficial and Brunswick aquifer systems; many wells in the St. Marys area flowed for the first time since the mill began operations during 1941. Pumping at the mill resulted in the development of a cone of depression that coalesced with a larger adjacent cone of depression at Fernandina Beach, Florida. Since closure of the mill, the cone at St. Marys is no longer present, although the cone still exists at Fernandina Beach, Florida. Historical water-level data from the production wells at the mill indicate that the pumping water level ranged from 68 to 235 feet (ft) below North American Vertical Datum of 1988 (NAVD 88) and averaged about 114 ft when the mill was operating. Since the shutdown, it is estimated that water levels at the mill have risen about 140 ft and are now at about 30 ft above NAVD 88. The water-level rise in wells in outlying areas in Camden County was less pronounced and ranged from about 5 to 10 ft above NAVD 88. Because of the regional upward water-level trend in the Upper Floridan aquifer that started during 19992000 in most of the coastal area, combined with a steeper upward trend beginning during October 2002, it was not possible to determine if the 510 ft rise in water levels in wells away from St. Marys was due to the mill closure. In addition to water-level rise of 2226 ft in the Floridan aquifer system, water-level rises in the overlying surficial and Brunswick aquifer systems at St. Marys after the shutdown indicate upward leakage of water. Water levels had stabilized in the confined surficial and Upper and Lower Floridan aquifers by AprilMay 2003; however, the water level in

County-level characteristics as predictors of dentists' ECC counseling in the USA: a survey study.

PubMed

Milgrom, Peter; Huebner, Colleen E; Mancl, Lloyd A; Chi, Donald L; Garson, Gayle; Grembowski, David

2013-05-20

Transmission of Streptococcus mutans from mother-to-child can lead to Early Childhood Caries. A previous study identified characteristics and beliefs of general dentists about counseling pregnant women to reduce risk of infection and Early Childhood Caries. This study extends those findings with an analysis of county level factors. In 2006, we surveyed 732 general dentists in Oregon, USA about dental care for pregnant women. Survey items asked about individual and practice characteristics. In the present study we matched those data to county level factors and used multinomial logistic regression to test the effects of the factors (i.e., dentist to population ratio, percentage of female dentists, percentage of females of childbearing age, and percentage of individuals living in poverty) on counseling behavior. County level factors were unrelated to counseling behavior when the models controlled for dentists' individual attitudes, beliefs, and practice level characteristics. The adjusted odds ratios for no counseling of pregnant patients (versus 100 percent counseling) were 1.1 (95% CI .8-1.7), 1.0 (1.0-1.1), 1.2 (.9-1.5), and 1.1 (1.0-1.2) for dentist/population ratio, percent female dentists, percent females of childbearing age, and percent in poverty, respectively Similar results were obtained when dentists who counseled some patients were compared to those counseling 100 percent of patients. Community level factors do not appear to impact the individual counseling behavior of general dentists in Oregon, USA regarding the risk of maternal transmission of Early Childhood Caries.

County-level characteristics as predictors of dentists’ ECC counseling in the USA: a survey study

PubMed Central

2013-01-01

Background Transmission of Streptococcus mutans from mother-to-child can lead to Early Childhood Caries. A previous study identified characteristics and beliefs of general dentists about counseling pregnant women to reduce risk of infection and Early Childhood Caries. This study extends those findings with an analysis of county level factors. Methods In 2006, we surveyed 732 general dentists in Oregon, USA about dental care for pregnant women. Survey items asked about individual and practice characteristics. In the present study we matched those data to county level factors and used multinomial logistic regression to test the effects of the factors (i.e., dentist to population ratio, percentage of female dentists, percentage of females of childbearing age, and percentage of individuals living in poverty) on counseling behavior. Results County level factors were unrelated to counseling behavior when the models controlled for dentists' individual attitudes, beliefs, and practice level characteristics. The adjusted odds ratios for no counseling of pregnant patients (versus 100 percent counseling) were 1.1 (95% CI .8-1.7), 1.0 (1.0-1.1), 1.2 (.9-1.5), and 1.1 (1.0-1.2) for dentist/population ratio, percent female dentists, percent females of childbearing age, and percent in poverty, respectively Similar results were obtained when dentists who counseled some patients were compared to those counseling 100 percent of patients. Conclusions Community level factors do not appear to impact the individual counseling behavior of general dentists in Oregon, USA regarding the risk of maternal transmission of Early Childhood Caries. PMID:23688178

Ground-water-quality and ground-water-level data, Bernalillo County, central New Mexico, 1990-1993

USGS Publications Warehouse

Kues, G.E.; Garcia, B.M.

1995-01-01

Ground-water-quality and ground-water-level data were collected in four unincorporated areas of Bernalillo County during 1990-93. Twenty wells in the east mountain area of Bernalillo County were sampled approximately monthly between January 1990 and June 1993. The water samples were analyzed for concentrations of chloride and selected nutrient species; many of the samples also were analyzed for concentrations of total organic carbon and dissolved boron and iron. Eleven wells northeast of the city of Albuquerque, 20 wells in the Rio Grande Valley immediately north of Albuquerque, and 30 wells in the Rio Grande Valley immediately south of Albuquerque were sampled once each between December 1992 and September 1993; all water samples were analyzed for chloride and selected nutrient species, and selected samples from wells in the north and south valley areas were also analyzed for major dissolved constituents, iron, manganese, and methylene blue active substances. Samples from 10 of the wells in the north and south valley areas were analyzed for 47 selected pesticides. Field measurements of specific conductance, pH, temperature, and alkalinity were made on most samples at the time of sample collection. Water levels also were measured at the time of sample collection when possible. Results of the monthly water-quality and water-level monitoring in the east mountain area of Bernalillo County are presented in graphical form. Water-quality and water-level data collected from the other areas are presented in tabular form.

The public sector nursing workforce in Kenya: a county-level analysis

PubMed Central

2014-01-01

Background Kenya’s human resources for health shortage is well documented, yet in line with the new constitution, responsibility for health service delivery will be devolved to 47 new county administrations. This work describes the public sector nursing workforce likely to be inherited by the counties, and examines the relationships between nursing workforce density and key indicators. Methods National nursing deployment data linked to nursing supply data were used and analyzed using statistical and geographical analysis software. Data on nurses deployed in national referral hospitals and on nurses deployed in non-public sector facilities were excluded from main analyses. The densities and characteristics of the public sector nurses across the counties were obtained and examined against an index of county remoteness, and the nursing densities were correlated with five key indicators. Results Of the 16,371 nurses in the public non-tertiary sector, 76% are women and 53% are registered nurses, with 35% of the nurses aged 40 to 49 years. The nursing densities across counties range from 1.2 to 0.08 per 1,000 population. There are statistically significant associations of the nursing densities with a measure of health spending per capita (P value = 0.0028) and immunization rates (P value = 0.0018). A higher county remoteness index is associated with explaining lower female to male ratio of public sector nurses across counties (P value <0.0001). Conclusions An overall shortage of nurses (range of 1.2 to 0.08 per 1,000) in the public sector countrywide is complicated by mal-distribution and varying workforce characteristics (for example, age profile) across counties. All stakeholders should support improvements in human resources information systems and help address personnel shortages and mal-distribution if equitable, quality health-care delivery in the counties is to be achieved. PMID:24467776

The public sector nursing workforce in Kenya: a county-level analysis.

PubMed

Wakaba, Mabel; Mbindyo, Patrick; Ochieng, Jacob; Kiriinya, Rose; Todd, Jim; Waudo, Agnes; Noor, Abdisalan; Rakuom, Chris; Rogers, Martha; English, Mike

2014-01-27

Kenya's human resources for health shortage is well documented, yet in line with the new constitution, responsibility for health service delivery will be devolved to 47 new county administrations. This work describes the public sector nursing workforce likely to be inherited by the counties, and examines the relationships between nursing workforce density and key indicators. National nursing deployment data linked to nursing supply data were used and analyzed using statistical and geographical analysis software. Data on nurses deployed in national referral hospitals and on nurses deployed in non-public sector facilities were excluded from main analyses. The densities and characteristics of the public sector nurses across the counties were obtained and examined against an index of county remoteness, and the nursing densities were correlated with five key indicators. Of the 16,371 nurses in the public non-tertiary sector, 76% are women and 53% are registered nurses, with 35% of the nurses aged 40 to 49 years. The nursing densities across counties range from 1.2 to 0.08 per 1,000 population. There are statistically significant associations of the nursing densities with a measure of health spending per capita (P value = 0.0028) and immunization rates (P value = 0.0018). A higher county remoteness index is associated with explaining lower female to male ratio of public sector nurses across counties (P value <0.0001). An overall shortage of nurses (range of 1.2 to 0.08 per 1,000) in the public sector countrywide is complicated by mal-distribution and varying workforce characteristics (for example, age profile) across counties. All stakeholders should support improvements in human resources information systems and help address personnel shortages and mal-distribution if equitable, quality health-care delivery in the counties is to be achieved.

ANN multiscale model of anti-HIV drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks.

PubMed

González-Díaz, Humberto; Herrera-Ibatá, Diana María; Duardo-Sánchez, Aliuska; Munteanu, Cristian R; Orbegozo-Medina, Ricardo Alfredo; Pazos, Alejandro

2014-03-24

This work is aimed at describing the workflow for a methodology that combines chemoinformatics and pharmacoepidemiology methods and at reporting the first predictive model developed with this methodology. The new model is able to predict complex networks of AIDS prevalence in the US counties, taking into consideration the social determinants and activity/structure of anti-HIV drugs in preclinical assays. We trained different Artificial Neural Networks (ANNs) using as input information indices of social networks and molecular graphs. We used a Shannon information index based on the Gini coefficient to quantify the effect of income inequality in the social network. We obtained the data on AIDS prevalence and the Gini coefficient from the AIDSVu database of Emory University. We also used the Balaban information indices to quantify changes in the chemical structure of anti-HIV drugs. We obtained the data on anti-HIV drug activity and structure (SMILE codes) from the ChEMBL database. Last, we used Box-Jenkins moving average operators to quantify information about the deviations of drugs with respect to data subsets of reference (targets, organisms, experimental parameters, protocols). The best model found was a Linear Neural Network (LNN) with values of Accuracy, Specificity, and Sensitivity above 0.76 and AUROC > 0.80 in training and external validation series. This model generates a complex network of AIDS prevalence in the US at county level with respect to the preclinical activity of anti-HIV drugs in preclinical assays. To train/validate the model and predict the complex network we needed to analyze 43,249 data points including values of AIDS prevalence in 2,310 counties in the US vs ChEMBL results for 21,582 unique drugs, 9 viral or human protein targets, 4,856 protocols, and 10 possible experimental measures.

Algorithm to calculate proportional area transformation factors for digital geographic databases

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

Edwards, R.

1983-01-01

A computer technique is described for determining proportionate-area factors used to transform thematic data between large geographic areal databases. The number of calculations in the algorithm increases linearly with the number of segments in the polygonal definitions of the databases, and increases with the square root of the total number of chains. Experience is presented in calculating transformation factors for two national databases, the USGS Water Cataloging Unit outlines and DOT county boundaries which consist of 2100 and 3100 polygons respectively. The technique facilitates using thematic data defined on various natural bases (watersheds, landcover units, etc.) in analyses involving economicmore » and other administrative bases (states, counties, etc.), and vice versa.« less

Exploring trends, sources, and causes of environmental funding: a study of Florida counties.

PubMed

Wang, XiaoHu

2011-11-01

Florida is one of the largest spenders on the environment in the U.S. Employing a database from Florida counties, this study examines two distinct environmental funding areas in government: funding to protect the environment, and funding to develop the environment. These two types of funding serve different purposes, support different activities and operations, and draw from different revenue sources. The results show that environmental funding in government is a response to the environmental pressure generated by economic activities and population growth. Counties with a higher level of manufacturing and farming activity spend more to protect the environment, while counties with higher population densities spend more to develop the environment. Moreover, counties with more funding for public safety and economic development activities spend less on the environment, indicating that environmental funding is influenced by the political processes in public budgeting in which diversified interests compete for resources. These results show that environmental spending in government is the result of combined forces arising from environmental pressure and budgetary politics. Copyright © 2011 Elsevier Ltd. All rights reserved.

Non-redundant patent sequence databases with value-added annotations at two levels

PubMed Central

Li, Weizhong; McWilliam, Hamish; de la Torre, Ana Richart; Grodowski, Adam; Benediktovich, Irina; Goujon, Mickael; Nauche, Stephane; Lopez, Rodrigo

2010-01-01

The European Bioinformatics Institute (EMBL-EBI) provides public access to patent data, including abstracts, chemical compounds and sequences. Sequences can appear multiple times due to the filing of the same invention with multiple patent offices, or the use of the same sequence by different inventors in different contexts. Information relating to the source invention may be incomplete, and biological information available in patent documents elsewhere may not be reflected in the annotation of the sequence. Search and analysis of these data have become increasingly challenging for both the scientific and intellectual-property communities. Here, we report a collection of non-redundant patent sequence databases, which cover the EMBL-Bank nucleotides patent class and the patent protein databases and contain value-added annotations from patent documents. The databases were created at two levels by the use of sequence MD5 checksums. Sequences within a level-1 cluster are 100% identical over their whole length. Level-2 clusters were defined by sub-grouping level-1 clusters based on patent family information. Value-added annotations, such as publication number corrections, earliest publication dates and feature collations, significantly enhance the quality of the data, allowing for better tracking and cross-referencing. The databases are available format: http://www.ebi.ac.uk/patentdata/nr/. PMID:19884134

Non-redundant patent sequence databases with value-added annotations at two levels.

PubMed

Li, Weizhong; McWilliam, Hamish; de la Torre, Ana Richart; Grodowski, Adam; Benediktovich, Irina; Goujon, Mickael; Nauche, Stephane; Lopez, Rodrigo

2010-01-01

The European Bioinformatics Institute (EMBL-EBI) provides public access to patent data, including abstracts, chemical compounds and sequences. Sequences can appear multiple times due to the filing of the same invention with multiple patent offices, or the use of the same sequence by different inventors in different contexts. Information relating to the source invention may be incomplete, and biological information available in patent documents elsewhere may not be reflected in the annotation of the sequence. Search and analysis of these data have become increasingly challenging for both the scientific and intellectual-property communities. Here, we report a collection of non-redundant patent sequence databases, which cover the EMBL-Bank nucleotides patent class and the patent protein databases and contain value-added annotations from patent documents. The databases were created at two levels by the use of sequence MD5 checksums. Sequences within a level-1 cluster are 100% identical over their whole length. Level-2 clusters were defined by sub-grouping level-1 clusters based on patent family information. Value-added annotations, such as publication number corrections, earliest publication dates and feature collations, significantly enhance the quality of the data, allowing for better tracking and cross-referencing. The databases are available format: http://www.ebi.ac.uk/patentdata/nr/.

Protocol for the E-Area Low Level Waste Facility Disposal Limits Database

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

Swingle, R

2006-01-31

A database has been developed to contain the disposal limits for the E-Area Low Level Waste Facility (ELLWF). This database originates in the form of an EXCEL{copyright} workbook. The pertinent sheets are translated to PDF format using Adobe ACROBAT{copyright}. The PDF version of the database is accessible from the Solid Waste Division web page on SHRINE. In addition to containing the various disposal unit limits, the database also contains hyperlinks to the original references for all limits. It is anticipated that database will be revised each time there is an addition, deletion or revision of any of the ELLWF radionuclidemore » disposal limits.« less

Quaternary geology of Alameda County, and parts of Contra Costa, Santa Clara, San Mateo, San Francisco, Stanislaus, and San Joaquin counties, California: a digital database

USGS Publications Warehouse

Helley, E.J.; Graymer, R.W.

1997-01-01

Alameda County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by the south flank of Mount Diablo, one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and an arbitrary line from the Bay into the Diablo Range forms the southern boundary. Alameda is one of the nine Bay Area counties tributary to San Francisco Bay. Most of the country is mountainous with steep rugged topography. Alameda County is covered by twenty-eight 7.5' topographic Quadrangles which are shown on the index map. The Quaternary deposits in Alameda County comprise three distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta facies, is mapped in the western one-third of the county. The second, forming only alluvial fan facies, is mapped in the Livermore Valley and San Joaquin Valley in the eastern part of the county. The third, forming a combination of Eolian dune and estuarine facies, is restricted to the Alameda Island area in the northwestern corner of the county.

Last Deglacial Sea Level: A Curated Database of Indicators of Past Sea Levels from Biological and Geomorphological Archives

NASA Astrophysics Data System (ADS)

Hibbert, F. D.; Williams, F. H.; Fallon, S.; Rohling, E. J.

2017-12-01

The last deglacial was an interval of rapid climate and sea-level change, including the collapse of large continental ice sheets. This database collates carefully assessed sea-level data from peer-reviewed sources for the interval 0 to 25 thousand years ago (ka), from the last glacial maximum to the present interglacial conditions. In addition to facilitating site-specific reconstructions of past sea levels, the database provides a suite of data beyond the range of modern/instrumental variability that may help hone future sea-level projections. The database is global in scope, internally consistent, and contains U-series and radiocarbon dated indicators from both biological and geomorpohological archives. We focus on far-field data (i.e., away from the sites of the former continental ice sheets), but some key intermediate (i.e., from the Caribbean) data are also included. All primary fields (i.e., sample location, elevation, age and context) possess quantified uncertainties, which - in conjunction with available metadata - allows the reconstructed sea levels to be interpreted within both their uncertainties and geological context. Consistent treatment of each of the individual records in the database, and incorporation of fully expressed uncertainties, allows datasets to be easily compared. The compilation contains 145 studies from 40 locations (>2,000 data points) and includes all raw information and metadata.

A county-level cross-sectional analysis of positive deviance to assess multiple population health outcomes in Indiana.

PubMed

Hendryx, Michael; Guerra-Reyes, Lucia; Holland, Benjamin D; McGinnis, Michael Dean; Meanwell, Emily; Middlestadt, Susan E; Yoder, Karen M

2017-10-11

To test a positive deviance method to identify counties that are performing better than statistical expectations on a set of population health indicators. Quantitative, cross-sectional county-level secondary analysis of risk variables and outcomes in Indiana. Data are analysed using multiple linear regression to identify counties performing better or worse than expected given traditional risk indicators, with a focus on 'positive deviants' or counties performing better than expected. Counties in Indiana (n=92) constitute the unit of analysis. Per cent adult obesity, per cent fair/poor health, low birth weight per cent, per cent with diabetes, years of potential life lost, colorectal cancer incidence rate and circulatory disease mortality rate. County performance that outperforms expectations is for the most part outcome specific. But there are a few counties that performed particularly well across most measures. The positive deviance approach provides a means for state and local public health departments to identify places that show better health outcomes despite demographic, social, economic or behavioural disadvantage. These places may serve as case studies or models for subsequent investigations to uncover best practices in the face of adversity and generalise effective approaches to other areas. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

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…

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)

Determinants of U.S. Prescription Drug Utilization using County Level Data.

PubMed

Nianogo, Thierry; Okunade, Albert; Fofana, Demba; Chen, Weiwei

2016-05-01

Prescription drugs are the third largest component of U.S. healthcare expenditures. The 2006 Medicare Part D and the 2010 Affordable Care Act are catalysts for further growths in utilization becuase of insurance expansion effects. This research investigating the determinants of prescription drug utilization is timely, methodologically novel, and policy relevant. Differences in population health status, access to care, socioeconomics, demographics, and variations in per capita number of scripts filled at retail pharmacies across the U.S.A. justify fitting separate econometric models to county data of the states partitioned into low, medium, and high prescription drug users. Given the skewed distribution of per capita number of filled prescriptions (response variable), we fit the variance stabilizing Box-Cox power transformation regression models to 2011 county level data for investigating the correlates of prescription drug utilization separately for low, medium, and high utilization states. Maximum likelihood regression parameter estimates, including the optimal Box-Cox λ power transformations, differ across high (λ = 0.214), medium (λ = 0.942), and low (λ = 0.302) prescription drug utilization models. The estimated income elasticities of -0.634, 0.031, and -0.532 in high, medium, and low utilization models suggest that the economic behavior of prescriptions is not invariant across different utilization levels. Copyright © 2015 John Wiley & Sons, Ltd.

Variation in prostate cancer treatment associated with population density of the county of residence.

PubMed

Cary, C; Odisho, A Y; Cooperberg, M R

2016-06-01

We sought to assess variation in the primary treatment of prostate cancer by examining the effect of population density of the county of residence on treatment for clinically localized prostate cancer and quantify variation in primary treatment attributable to the county and state level. A total 138 226 men with clinically localized prostate cancer in the Surveillance, Epidemiology and End Result (SEER) database in 2005 through 2008 were analyzed. The main association of interest was between prostate cancer treatment and population density using multilevel hierarchical logit models while accounting for the random effects of counties nested within SEER regions. To quantify the effect of county and SEER region on individual treatment, the percent of total variance in treatment attributable to county of residence and SEER site was estimated with residual intraclass correlation coefficients. Men with localized prostate cancer in metropolitan counties had 23% higher odds of being treated with surgery or radiation compared with men in rural counties, controlling for number of urologists per county as well as clinical and sociodemographic characteristics. Three percent (95% confidence interval (CI): 1.2-6.2%) of the total variation in treatment was attributable to SEER site, while 6% (95% CI: 4.3-9.0%) of variation was attributable to county of residence, adjusting for clinical and sociodemographic characteristics. Variation in treatment for localized prostate cancer exists for men living in different population-dense counties of the country. These findings highlight the importance of comparative effectiveness research to improve understanding of this variation and lead to a reduction in unwarranted variation.

Surficial and bedrock geologic map database of the Kelso 7.5 Minute quadrangle, San Bernardino County, California

USGS Publications Warehouse

Bedford, David R.

2003-01-01

This geologic map database describes geologic materials for the Kelso 7.5 Minute Quadrangle, San Bernardino County, California. The area lies in eastern Mojave Desert of California, within the Mojave National Preserve (a unit of the National Parks system). Geologic deposits in the area consist of Proterozoic metamorphic rocks, Cambrian-Neoproterozoic sedimentary rocks, Mesozoic plutonic and hypabyssal rocks, Tertiary basin fill, and Quaternary surficial deposits. Bedrock deposits are described by composition, texture, and stratigraphic relationships. Quaternary surficial deposits are classified into soil-geomorphic surfaces based on soil characteristics, inset relationships, and geomorphic expression. The surficial geology presented in this report is especially useful to understand, and extrapolate, physical properties that influence surface conditions, and surface- and soil-water dynamics. Physical characteristics such as pavement development, soil horizonation, and hydraulic characteristics have shown to be some of the primary drivers of ecologic dynamics, including recovery of those ecosystems to anthropogenic disturbance, in the eastern Mojave Desert and other arid and semi-arid environments.

Current & future vulnerability of sarasota county Florida to hurricane storm surge & sea level rise

USGS Publications Warehouse

Frazier, T.; Wood, N.; Yarnal, B.

2008-01-01

Coastal communities in portions of the United States are vulnerable to storm-surge inundation from hurricanes and this vulnerability will likely increase, given predicted rises in sea level from climate change and growing coastal development. In this paper, we provide an overview of research to determine current and future societal vulnerability to hurricane storm-surge inundation and to help public officials and planners integrate these scenarios into their long-range land use plans. Our case study is Sarasota County, Florida, where planners face the challenge of balancing increasing population growth and development with the desire to lower vulnerability to storm surge. Initial results indicate that a large proportion of Sarasota County's residential and employee populations are in areas prone to storm-surge inundation from a Category 5 hurricane. This hazard zone increases when accounting for potential sea-level-rise scenarios, thereby putting additional populations at risk. Subsequent project phases involve the development of future land use and vulnerability scenarios in collaboration with local officials. Copyright ASCE 2008.

Area-level poverty and preterm birth risk: A population-based multilevel analysis

PubMed Central

DeFranco, Emily A; Lian, Min; Muglia, Louis A; Schootman, Mario

2008-01-01

Background Preterm birth is a complex disease with etiologic influences from a variety of social, environmental, hormonal, genetic, and other factors. The purpose of this study was to utilize a large population-based birth registry to estimate the independent effect of county-level poverty on preterm birth risk. To accomplish this, we used a multilevel logistic regression approach to account for multiple co-existent individual-level variables and county-level poverty rate. Methods Population-based study utilizing Missouri's birth certificate database (1989–1997). We conducted a multilevel logistic regression analysis to estimate the effect of county-level poverty on PTB risk. Of 634,994 births nested within 115 counties in Missouri, two levels were considered. Individual-level variables included demographics factors, prenatal care, health-related behavioral risk factors, and medical risk factors. The area-level variable included the percentage of the population within each county living below the poverty line (US census data, 1990). Counties were divided into quartiles of poverty; the first quartile (lowest rate of poverty) was the reference group. Results PTB < 35 weeks occurred in 24,490 pregnancies (3.9%). The rate of PTB < 35 weeks was 2.8% in counties within the lowest quartile of poverty and increased through the 4th quartile (4.9%), p < 0.0001. High county-level poverty was significantly associated with PTB risk. PTB risk (< 35 weeks) was increased for women who resided in counties within the highest quartile of poverty, adjusted odds ratio (adjOR) 1.18 (95% CI 1.03, 1.35), with a similar effect at earlier gestational ages (< 32 weeks), adjOR 1.27 (95% CI 1.06, 1.52). Conclusion Women residing in socioeconomically deprived areas are at increased risk of preterm birth, above other underlying risk factors. Although the risk increase is modest, it affects a large number of pregnancies. PMID:18793437

Area-level poverty and preterm birth risk: a population-based multilevel analysis.

PubMed

DeFranco, Emily A; Lian, Min; Muglia, Louis A; Schootman, Mario

2008-09-15

Preterm birth is a complex disease with etiologic influences from a variety of social, environmental, hormonal, genetic, and other factors. The purpose of this study was to utilize a large population-based birth registry to estimate the independent effect of county-level poverty on preterm birth risk. To accomplish this, we used a multilevel logistic regression approach to account for multiple co-existent individual-level variables and county-level poverty rate. Population-based study utilizing Missouri's birth certificate database (1989-1997). We conducted a multilevel logistic regression analysis to estimate the effect of county-level poverty on PTB risk. Of 634,994 births nested within 115 counties in Missouri, two levels were considered. Individual-level variables included demographics factors, prenatal care, health-related behavioral risk factors, and medical risk factors. The area-level variable included the percentage of the population within each county living below the poverty line (US census data, 1990). Counties were divided into quartiles of poverty; the first quartile (lowest rate of poverty) was the reference group. PTB < 35 weeks occurred in 24,490 pregnancies (3.9%). The rate of PTB < 35 weeks was 2.8% in counties within the lowest quartile of poverty and increased through the 4th quartile (4.9%), p < 0.0001. High county-level poverty was significantly associated with PTB risk. PTB risk (< 35 weeks) was increased for women who resided in counties within the highest quartile of poverty, adjusted odds ratio (adj OR) 1.18 (95% CI 1.03, 1.35), with a similar effect at earlier gestational ages (< 32 weeks), adj OR 1.27 (95% CI 1.06, 1.52). Women residing in socioeconomically deprived areas are at increased risk of preterm birth, above other underlying risk factors. Although the risk increase is modest, it affects a large number of pregnancies.

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…

County Business Patterns: United States, 2002.

ERIC Educational Resources Information Center

US Department of Commerce, 2004

2004-01-01

In this report, subnational economic data by industry, including Educational Services, is provided. County Business Patterns is useful for studying the economic activity of small areas; analyzing economic changes over time; and as a benchmark for statistical series, surveys, and databases between economic censuses. The number of establishments,…

Fluctuations of ground-water levels in Lee County, Florida, in 1975 water year

USGS Publications Warehouse

O'Donnell, T. H.

1977-01-01

During the 1975 water year, rainfall was about average at Page Field, Florida, and from 20-25 percent below average at Lehigh Acres and Sanibel Island. Water levels were monitored in 57 observation wells in Lee County, Florida. Of the 23 wells that tap the water-table aquifer, one record high and 5 record low water levels were established. Record low water levels were established in 5 of 20 wells that tap the sandstone aquifer and in 1 of 10 wells that tap the upper Hawthorn aquifer. A record high water level was established in 1 of 3 wells that tap the lower Hawthorn aquifer. (Woodard-USGS)

A National Study of the Association between Food Environments and County-Level Health Outcomes

ERIC Educational Resources Information Center

Ahern, Melissa; Brown, Cheryl; Dukas, Stephen

2011-01-01

Purpose: This national, county-level study examines the relationship between food availability and access, and health outcomes (mortality, diabetes, and obesity rates) in both metro and non-metro areas. Methods: This is a secondary, cross-sectional analysis using Food Environment Atlas and CDC data. Linear regression models estimate relationships…

Geologic map and digital database of the Porcupine Wash 7.5 minute Quadrangle, Riverside County, southern California

USGS Publications Warehouse

Powell, Robert E.

2001-01-01

This data set maps and describes the geology of the Porcupine Wash 7.5 minute quadrangle, Riverside County, southern California. The quadrangle, situated in Joshua Tree National Park in the eastern Transverse Ranges physiographic and structural province, encompasses parts of the Hexie Mountains, Cottonwood Mountains, northern Eagle Mountains, and south flank of Pinto Basin. It is underlain by a basement terrane comprising Proterozoic metamorphic rocks, Mesozoic plutonic rocks, and Mesozoic and Mesozoic or Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Eagle and Cottonwood Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, Miocene basalt overlies the erosion surface. A sequence of at least three Quaternary pediments is planed into the north piedmont of the Eagle and Hexie Mountains, each in turn overlain by successively younger residual and alluvial deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults and an east-west trending system of high-angle dip- and left-slip faults. East-west trending faults are younger than and perhaps in part coeval with faults of the northwest-trending set. The Porcupine Wash database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database consists of the following items: (1) a map coverage showing faults and geologic contacts and units, (2) a separate coverage showing dikes, (3) a coverage showing structural data, (4) a scanned topographic base at a scale of 1:24,000, and (5) attribute tables for geologic units (polygons and regions), contacts (arcs), and site-specific data (points). The database, accompanied by a pamphlet file and this metadata file, also includes the following graphic and text products: (1) A portable document file (.pdf) containing a

The landslide database for Germany: Closing the gap at national level

NASA Astrophysics Data System (ADS)

Damm, Bodo; Klose, Martin

2015-11-01

The Federal Republic of Germany has long been among the few European countries that lack a national landslide database. Systematic collection and inventory of landslide data still has a long research history in Germany, but one focussed on the development of databases with local or regional coverage. This has changed in recent years with the launch of a database initiative aimed at closing the data gap existing at national level. The present paper reports on this project that is based on a landslide database which evolved over the last 15 years to a database covering large parts of Germany. A strategy of systematic retrieval, extraction, and fusion of landslide data is at the heart of the methodology, providing the basis for a database with a broad potential of application. The database offers a data pool of more than 4,200 landslide data sets with over 13,000 single data files and dates back to the 12th century. All types of landslides are covered by the database, which stores not only core attributes, but also various complementary data, including data on landslide causes, impacts, and mitigation. The current database migration to PostgreSQL/PostGIS is focused on unlocking the full scientific potential of the database, while enabling data sharing and knowledge transfer via a web GIS platform. In this paper, the goals and the research strategy of the database project are highlighted at first, with a summary of best practices in database development providing perspective. Next, the focus is on key aspects of the methodology, which is followed by the results of three case studies in the German Central Uplands. The case study results exemplify database application in the analysis of landslide frequency and causes, impact statistics, and landslide susceptibility modeling. Using the example of these case studies, strengths and weaknesses of the database are discussed in detail. The paper concludes with a summary of the database project with regard to previous

Village Green Project: Web-accessible Database

EPA Science Inventory

The purpose of this web-accessible database is for the public to be able to view instantaneous readings from a solar-powered air monitoring station located in a public location (prototype pilot test is outside of a library in Durham County, NC). The data are wirelessly transmitte...

Lycoming County Women's History Curriculum Guide

ERIC Educational Resources Information Center

Rogers, Amy

2011-01-01

This project plays upon technology and an innovative way to research history -- the use of online primary source data that highlight the history of women in volunteer and reform organizations, education, the arts, the workplace, and private lives. Using an archival database from the Lycoming County Women's History collection, this curriculum…

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.

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.

Facilitating Research in Physician Assistant Programs: Creating a Student-Level Longitudinal Database.

PubMed

Morgan, Perri; Humeniuk, Katherine M; Everett, Christine M

2015-09-01

As physician assistant (PA) roles expand and diversify in the United States and around the world, there is a pressing need for research that illuminates how PAs may best be selected, educated, and used in health systems to maximize their potential contributions to health. Physician assistant education programs are well positioned to advance this research by collecting and organizing data on applicants, students, and graduates. Our PA program is creating a permanent longitudinal education database for research that contains extensive student-level data. This database will allow us to conduct research on all phases of PA education, from admission processes through the professional practice of our graduates. In this article, we describe our approach to constructing a longitudinal student-level research database and discuss the strengths and limitations of longitudinal databases for research on education and the practice of PAs. We hope to encourage other PA programs to initiate similar projects so that, in the future, data can be combined for use in multi-institutional research that can contribute to improved education for PA students across programs.

Hydrology of Polk County, Florida

USGS Publications Warehouse

Spechler, Rick M.; Kroening, Sharon E.

2007-01-01

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

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.

Karst database development in Minnesota: Design and data assembly

USGS Publications Warehouse

Gao, Y.; Alexander, E.C.; Tipping, R.G.

2005-01-01

The Karst Feature Database (KFD) of Minnesota is a relational GIS-based Database Management System (DBMS). Previous karst feature datasets used inconsistent attributes to describe karst features in different areas of Minnesota. Existing metadata were modified and standardized to represent a comprehensive metadata for all the karst features in Minnesota. Microsoft Access 2000 and ArcView 3.2 were used to develop this working database. Existing county and sub-county karst feature datasets have been assembled into the KFD, which is capable of visualizing and analyzing the entire data set. By November 17 2002, 11,682 karst features were stored in the KFD of Minnesota. Data tables are stored in a Microsoft Access 2000 DBMS and linked to corresponding ArcView applications. The current KFD of Minnesota has been moved from a Windows NT server to a Windows 2000 Citrix server accessible to researchers and planners through networked interfaces. ?? Springer-Verlag 2005.

Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992-2007

USGS Publications Warehouse

Thelin, Gail P.; Stone, Wesley W.

2010-01-01

A method was developed to estimate annual atrazine use during 1992 to 2007 on sixteen crops and four agricultural land uses. For each year, atrazine use was estimated for all counties in the conterminous United States (except California) by combining (1) proprietary data from the Doane Marketing Research-Kynetec (DMRK) AgroTrak database on the mass of atrazine applied to agricultural crops, (2) county harvested crop acreage, by county, from the 1992, 1997, 2002, and 2007 Censuses of Agriculture, and (3) annual harvested crop acreage from National Agriculture Statistics Service (NASS) for non-Census years. DMRK estimates of pesticide use on individual crops were derived from surveys of major field crops and selected specialty crops in multicounty areas referred to as Crop Reporting Districts (CRD). The CRD-level atrazine-use estimates were disaggregated to obtain county-level application rates by dividing the mass (pounds) of pesticides applied to a crop by the acreage of that crop in the CRD to yield a rate per harvested acre. When atrazine-use estimates were not available for a CRD, crop, or year, an estimated rate was developed following a hierarchy of decision rules that checked first for the availability of a crop application rate from surveyed atrazine application rate(s) for adjacent CRDs for a specific year, and second, the rates from surveyed CRDs within for U.S. Department of Agriculture Farm Production Regions for a specific year or multiple years. The estimation method applied linear interpolation to estimate crop acreage for years when harvested acres for a crop and county were not reported in either the Census of Agriculture or the NASS database, but were reported by these data sources for other years for that crop and county. Data for atrazine use for the counties in California was obtained from farmers' reports of pesticide use collected and published by the California Department of Pesticide Regulation-Pesticide Use Reporting (DPR-PUR) because these

An Updating System for the Gridded Population Database of China Based on Remote Sensing, GIS and Spatial Database Technologies.

PubMed

Yang, Xiaohuan; Huang, Yaohuan; Dong, Pinliang; Jiang, Dong; Liu, Honghui

2009-01-01

The spatial distribution of population is closely related to land use and land cover (LULC) patterns on both regional and global scales. Population can be redistributed onto geo-referenced square grids according to this relation. In the past decades, various approaches to monitoring LULC using remote sensing and Geographic Information Systems (GIS) have been developed, which makes it possible for efficient updating of geo-referenced population data. A Spatial Population Updating System (SPUS) is developed for updating the gridded population database of China based on remote sensing, GIS and spatial database technologies, with a spatial resolution of 1 km by 1 km. The SPUS can process standard Moderate Resolution Imaging Spectroradiometer (MODIS L1B) data integrated with a Pattern Decomposition Method (PDM) and an LULC-Conversion Model to obtain patterns of land use and land cover, and provide input parameters for a Population Spatialization Model (PSM). The PSM embedded in SPUS is used for generating 1 km by 1 km gridded population data in each population distribution region based on natural and socio-economic variables. Validation results from finer township-level census data of Yishui County suggest that the gridded population database produced by the SPUS is reliable.

Fuelwood use in U.S. counties

Treesearch

Kenneth E. Skog; Robert S. Manthy

1989-01-01

This study explains and determines fuelwood consumption at the county level based on county economic and demographic conditions, and identifies U.S. counties where potential fuelwood use problems and benefits are greatest. The percentage of wood-burning households in a county is estimated and multiplied by estimated average wood consumed per wood-burning household in...

Factors Associated with Level of Living in Washington County, Mississippi. Technical Bulletin No. 1501.

ERIC Educational Resources Information Center

McCoy, John L.

Step-wise multiple regression and typological analysis were used to analyze the extent to which selected factors influence vertical mobility and achieved level of living. A sample of 418 male household heads who were 18 to 45 years old in Washington County, Mississippi were interviewed during 1971. A prescreening using census and local housing…

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.

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)....

A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards

NASA Astrophysics Data System (ADS)

Wolff, Claudia; Vafeidis, Athanasios T.; Muis, Sanne; Lincke, Daniel; Satta, Alessio; Lionello, Piero; Jimenez, Jose A.; Conte, Dario; Hinkel, Jochen

2018-03-01

We have developed a new coastal database for the Mediterranean basin that is intended for coastal impact and adaptation assessment to sea-level rise and associated hazards on a regional scale. The data structure of the database relies on a linear representation of the coast with associated spatial assessment units. Using information on coastal morphology, human settlements and administrative boundaries, we have divided the Mediterranean coast into 13 900 coastal assessment units. To these units we have spatially attributed 160 parameters on the characteristics of the natural and socio-economic subsystems, such as extreme sea levels, vertical land movement and number of people exposed to sea-level rise and extreme sea levels. The database contains information on current conditions and on plausible future changes that are essential drivers for future impacts, such as sea-level rise rates and socio-economic development. Besides its intended use in risk and impact assessment, we anticipate that the Mediterranean Coastal Database (MCD) constitutes a useful source of information for a wide range of coastal applications.

A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards

PubMed Central

Wolff, Claudia; Vafeidis, Athanasios T.; Muis, Sanne; Lincke, Daniel; Satta, Alessio; Lionello, Piero; Jimenez, Jose A.; Conte, Dario; Hinkel, Jochen

2018-01-01

We have developed a new coastal database for the Mediterranean basin that is intended for coastal impact and adaptation assessment to sea-level rise and associated hazards on a regional scale. The data structure of the database relies on a linear representation of the coast with associated spatial assessment units. Using information on coastal morphology, human settlements and administrative boundaries, we have divided the Mediterranean coast into 13 900 coastal assessment units. To these units we have spatially attributed 160 parameters on the characteristics of the natural and socio-economic subsystems, such as extreme sea levels, vertical land movement and number of people exposed to sea-level rise and extreme sea levels. The database contains information on current conditions and on plausible future changes that are essential drivers for future impacts, such as sea-level rise rates and socio-economic development. Besides its intended use in risk and impact assessment, we anticipate that the Mediterranean Coastal Database (MCD) constitutes a useful source of information for a wide range of coastal applications. PMID:29583140

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.

Fatal crash involvement of unlicensed young drivers: county level differences according to material deprivation and urbanicity in the United States.

PubMed

Hanna, Christian L; Laflamme, Lucie; Bingham, C Raymond

2012-03-01

This study assessed the association between county level material deprivation and urbanization with fatal road traffic crashes involving young unlicensed drivers in the United States (US). Road traffic crashes have been positively associated with area deprivation and low population density but thus far few studies have been concerned specifically with young drivers, especially those that are unlicensed. A county material deprivation index was derived from the Townsend Material Deprivation Index, with variables extracted from the US Census (2000). An urbanicity scale was adapted from the US Department of Agriculture's Rural-Urban Continuum Codes (2003). Data on fatal crashes involving a young unlicensed driver during a seven-year period (2000-2006; n=3059) were extracted from the Fatality Analysis Reporting System. The effect of deprivation and urbanicity on the odds of the occurrence of at least one fatal crash at the county level was modeled by conditional and unconditional logistic regression. The conditional model found a positive association between material deprivation and a fatal crash involving a young unlicensed driver (OR=1.19, 95% CI 1.17, 1.21). The interaction between urbanicity and material deprivation was negatively associated in suburban counties for fatal crashes (OR=0.92, 95% CI 0.90, 0.95). An association with material deprivation and the likelihood of a fatal crash involving a young unlicensed driver is a new finding. It can be used to inform specific county-level interventions and promote state licensing policies to provide equity in young people's mobility regardless of where they live. Copyright © 2011. Published by Elsevier Ltd.

Effects of sanitary sewers on ground-water levels and streams in Nassau and Suffolk Counties, New York; Part 3, development and application of southern Nassau County model

USGS Publications Warehouse

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

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 per second 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 a 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 90% from conditions in the early 1970's. This report is one of a three-part series describing the predicted hydrologic effects of sewers in southern Nassau and southwestern Suffolk Counties. (USGS)

Geotagged US Tweets as Predictors of County-Level Health Outcomes, 2015-2016.

PubMed

Nguyen, Quynh C; McCullough, Matt; Meng, Hsien-Wen; Paul, Debjyoti; Li, Dapeng; Kath, Suraj; Loomis, Geoffrey; Nsoesie, Elaine O; Wen, Ming; Smith, Ken R; Li, Feifei

2017-11-01

To leverage geotagged Twitter data to create national indicators of the social environment, with small-area indicators of prevalent sentiment and social modeling of health behaviors, and to test associations with county-level health outcomes, while controlling for demographic characteristics. We used Twitter's streaming application programming interface to continuously collect a random 1% subset of publicly available geo-located tweets in the contiguous United States. We collected approximately 80 million geotagged tweets from 603 363 unique Twitter users in a 12-month period (April 2015-March 2016). Across 3135 US counties, Twitter indicators of happiness, food, and physical activity were associated with lower premature mortality, obesity, and physical inactivity. Alcohol-use tweets predicted higher alcohol-use-related mortality. Social media represents a new type of real-time data that may enable public health officials to examine movement of norms, sentiment, and behaviors that may portend emerging issues or outbreaks-thus providing a way to intervene to prevent adverse health events and measure the impact of health interventions.

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

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…

Cost of chronic disease in California: estimates at the county level.

PubMed

Brown, Paul M; Gonzalez, Mariaelena; Dhaul, Ritem Sandhu

2015-01-01

An estimated 39% of people in California suffer from at least one chronic condition or disease. While the increased coverage provided by the Affordable Care Act will result in greater access to primary health care, coordinated strategies are needed to prevent chronic conditions. To identify cost-effective strategies, local health departments and other agencies need accurate information on the costs of chronic conditions in their region. To present a methodology for estimating the cost of chronic conditions for counties. Estimates of the attributable cost of 6 chronic conditions-arthritis, asthma, cancer, cardiovascular disease, diabetes, and depression-from the Centers for Disease Control and Prevention's Chronic Disease Cost Calculator were combined with prevalence rates from the various sources and census data for California counties to estimate the number of cases and costs of each condition. The estimates were adjusted for differences in prices using Medicare geographical adjusters. An estimated $98 billion is currently spent on treating chronic conditions in California. There is significant variation between counties in the percentage of total health care expenditure due to chronic conditions and county size, ranging from a low 32% to a high of 63%. The variations between counties result from differing rates of chronic conditions across age, ethnicity, and gender. Information on the cost of chronic conditions is important for planning prevention and control efforts. This study demonstrates a method for providing local health departments with estimates of the scope of the problems in their region. Combining the cost estimates with information on current prevention strategies can identify gaps in prevention activities and the prevention measures that promise the greatest return on investment for each county.

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.

Digital Database of Selected Aggregate and Related Resources in Ada, Boise, Canyon, Elmore, Gem, and Owyhee Counties, Southwestern Idaho

USGS Publications Warehouse

Moyle, Phillip R.; Wallis, John C.; Bliss, James D.; Bolm, Karen D.

2004-01-01

The U.S. Geological Survey (USGS) compiled a database of aggregate sites and geotechnical sample data for six counties - Ada, Boise, Canyon, Elmore, Gem, and Owyhee - in southwest Idaho as part of a series of studies in support of the Bureau of Land Management (BLM) planning process. Emphasis is placed on sand and gravel sites in deposits of the Boise River, Snake River, and other fluvial systems and in Neogene lacustrine deposits. Data were collected primarily from unpublished Idaho Transportation Department (ITD) records and BLM site descriptions, published Army Corps of Engineers (ACE) records, and USGS sampling data. The results of this study provides important information needed by land-use planners and resource managers, particularly in the BLM, to anticipate and plan for demand and development of sand and gravel and other mineral material resources on public lands in response to the urban growth in southwestern Idaho.

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 ...

Evaluating County-Level Heat Vulnerability and Social Inequity in the United States through Climate and Socioeconomic Indices

NASA Astrophysics Data System (ADS)

Gannon, C.

2016-12-01

Climate change will have many impacts on human health, perhaps most directly through extreme heat. High temperature and humidity combinations inhibit the body's ability to cool through physiological responses such as sweating. In conjunction with extended periods of extreme heat and shifted seasonality, these conditions are particularly dangerous. Current research and literature can be used to show where dangerous heat and humidity conditions are likely to be most prevalent, or where populations vulnerable to heat stress reside. To provide a better assessment of overall heat vulnerability, however, many complex factors, such as relative changes in temperature patterns or local socioeconomic conditions, must also be considered. Here, we utilize a multivariate approach to establish county-level risk scores by combining the most relevant indicators for heat vulnerability with climate model projections of wet bulb globe temperature, a metric useful for understanding how the human body will respond to conditions of high heat and humidity. We present our findings as an ESRI ArcOnline Story Map with data aggregated at the county-level in the continental United States. This format allows users to access maps showing each county's score in four categories related to heat vulnerability: heat and humidity hazards, population vulnerability, medical access, and physical infrastructure. A final map showcases a composite heat vulnerability score for each county, with comparisons to state and national averages. Our tool, part of the White House's Climate Data Initiative, is presented as a series of maps with a normalized scoring system to provide clear and easy access to the indicators most relevant to evaluating heat vulnerability at a local level. Ultimately, this readily available tool with general indices helps community decision makers communicate heat vulnerability and identify which resilience factors are most critical to improving local resilience.

DRAFT LANDSAT DATA MOSAIC: MONTGOMERY COUNTY, TEXAS; HARRIS COUNTY, TEXAS; FORT BEND COUNTY, TEXAS; BRAZORIA COUNTY, TEXAS; GALVESTON COUNTY, TEXAS

EPA Science Inventory

This is a draft Landsat Data Mosaic, which contains remote sensing information for Montgomery County, Texas Harris County, Texas Fort Bend County, Texas Brazoria County, Texas Galveston County, and Texas Imagery dates on the following dates: October 6, 1999 and September 29, 200...

HormoneBase, a population-level database of steroid hormone levels across vertebrates

PubMed Central

Vitousek, Maren N.; Johnson, Michele A.; Donald, Jeremy W.; Francis, Clinton D.; Fuxjager, Matthew J.; Goymann, Wolfgang; Hau, Michaela; Husak, Jerry F.; Kircher, Bonnie K.; Knapp, Rosemary; Martin, Lynn B.; Miller, Eliot T.; Schoenle, Laura A.; Uehling, Jennifer J.; Williams, Tony D.

2018-01-01

Hormones are central regulators of organismal function and flexibility that mediate a diversity of phenotypic traits from early development through senescence. Yet despite these important roles, basic questions about how and why hormone systems vary within and across species remain unanswered. Here we describe HormoneBase, a database of circulating steroid hormone levels and their variation across vertebrates. This database aims to provide all available data on the mean, variation, and range of plasma glucocorticoids (both baseline and stress-induced) and androgens in free-living and un-manipulated adult vertebrates. HormoneBase (www.HormoneBase.org) currently includes >6,580 entries from 476 species, reported in 648 publications from 1967 to 2015, and unpublished datasets. Entries are associated with data on the species and population, sex, year and month of study, geographic coordinates, life history stage, method and latency of hormone sampling, and analysis technique. This novel resource could be used for analyses of the function and evolution of hormone systems, and the relationships between hormonal variation and a variety of processes including phenotypic variation, fitness, and species distributions. PMID:29786693

Giardiasis in the United States - an epidemiologic and geospatial analysis of county-level drinking water and sanitation data, 1993-2010.

PubMed

Schnell, Kerry; Collier, Sarah; Derado, Gordana; Yoder, Jonathan; Gargano, Julia Warner

2016-04-01

Giardiasis is the most commonly reported intestinal parasitic infection in the United States. Outbreak investigations have implicated poorly maintained private wells, and hypothesized a role for wastewater systems in giardiasis transmission. Surveillance data consistently show geographic variability in reported giardiasis incidence. We explored county-level associations between giardiasis cases, household water and sanitation (1990 census), and US Census division. Using 368,847 reported giardiasis cases (1993-2010), we mapped county-level giardiasis incidence rates, private well reliance, and septic system reliance, and assessed spatiotemporal clustering of giardiasis. We used negative binomial regression to evaluate county-level associations between giardiasis rates, region, and well and septic reliance, adjusted for demographics. Adjusted giardiasis incidence rate ratios (aIRRs) were highest (aIRR 1.3; 95% confidence interval 1.2-1.5) in counties with higher private well reliance. There was no significant association between giardiasis and septic system reliance in adjusted models. Consistent with visual geographic distributions, the aIRR of giardiasis was highest in New England (aIRR 3.3; 95% CI 2.9-3.9; reference West South Central region). Our results suggest that, in the USA, private wells are relevant to giardiasis transmission; giardiasis risk factors might vary regionally; and up-to-date, location-specific national data on water sources and sanitation methods are needed.

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.

Geologic map and digital database of the Conejo Well 7.5 minute quadrangle, Riverside County, Southern California

USGS Publications Warehouse

Powell, Robert E.

2001-01-01

This data set maps and describes the geology of the Conejo Well 7.5 minute quadrangle, Riverside County, southern California. The quadrangle, situated in Joshua Tree National Park in the eastern Transverse Ranges physiographic and structural province, encompasses part of the northern Eagle Mountains and part of the south flank of Pinto Basin. It is underlain by a basement terrane comprising Proterozoic metamorphic rocks, Mesozoic plutonic rocks, and Mesozoic and Mesozoic or Cenozoic hypabyssal dikes. The basement terrane is capped by a widespread Tertiary erosion surface preserved in remnants in the Eagle Mountains and buried beneath Cenozoic deposits in Pinto Basin. Locally, Miocene basalt overlies the erosion surface. A sequence of at least three Quaternary pediments is planed into the north piedmont of the Eagle Mountains, each in turn overlain by successively younger residual and alluvial deposits. The Tertiary erosion surface is deformed and broken by north-northwest-trending, high-angle, dip-slip faults in the Eagle Mountains and an east-west trending system of high-angle dip- and left-slip faults. In and adjacent to the Conejo Well quadrangle, faults of the northwest-trending set displace Miocene sedimentary rocks and basalt deposited on the Tertiary erosion surface and Pliocene and (or) Pleistocene deposits that accumulated on the oldest pediment. Faults of this system appear to be overlain by Pleistocene deposits that accumulated on younger pediments. East-west trending faults are younger than and perhaps in part coeval with faults of the northwest-trending set. The Conejo Well database was created using ARCVIEW and ARC/INFO, which are geographical information system (GIS) software products of Envronmental Systems Research Institute (ESRI). The database consists of the following items: (1) a map coverage showing faults and geologic contacts and units, (2) a separate coverage showing dikes, (3) a coverage showing structural data, (4) a point coverage

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

Development of a Land Use Database for the Little Blackwater Watershed, Dorchester County, Maryland

USGS Publications Warehouse

Milheim, Lesley E.; Jones, John W.; Barlow, Roger A.

2007-01-01

Many agricultural and forested areas in proximity to National Wildlife Refuges (NWR) are under increasing economic pressure to develop lands for commercial or residential development. The upper portion of the Little Blackwater River watershed - a 27 square mile area within largely low-lying Dorchester County, Maryland, on the eastern shore of the Chesapeake Bay - is important to the U.S. Fish and Wildlife Service (USFWS) because it flows toward the Blackwater National Wildlife Refuge (BNWR), and developmental impacts of areas upstream from the BNWR are unknown. One of the primary concerns for the refuge is how storm-water runoff may affect living resources downstream. The Egypt Road project (fig. 1), for which approximately 600 residential units have been approved, has the potential to markedly change the land use and land cover on the west bank of the Little Blackwater River. In an effort to limit anticipated impacts, the Maryland Department of Natural Resources (Maryland DNR) recently decided to purchase some of the lands previously slated for development. Local topography, a high water table (typically 1 foot or less below the land surface), and hydric soils present a challenge for the best management of storm-water flow from developed surfaces. A spatial data coordination group was formed by the Dorchester County Soil and Conservation District to collect data to aid decisionmakers in watershed management and on the possible impacts of development on this watershed. Determination of streamflow combined with land cover and impervious-surface baselines will allow linking of hydrologic and geologic factors that influence the land surface. This baseline information will help planners, refuge managers, and developers discuss issues and formulate best management practices to mitigate development impacts on the refuge. In consultation with the Eastern Region Geospatial Information Office, the dataset selected to be that baseline land cover source was the June-July 2005

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.

Understanding the Gap: Perceived Health Literacy Levels Among Spanish-Speaking Immigrants in Miami-Dade County, 2016.

PubMed

Moore, Emily; Cordero, Christina

2018-06-20

Health literacy levels among immigrant populations in Miami-Dade County have yet to be examined. This study investigates perceived health literacy ability and measured health literacy scores among Miami-Dade County immigrants. Patients seen in the Refugee Health Assessment Program and Family Planning Program completed a health literacy assessment in November 2016. Participants were immigrants from Spanish-speaking countries who reported living in the U.S. for ≤ 10 years. Logistic regression models were used to determine predictors of agreement. 283 patients responded. No characteristics were significant predictors of agreement; However, we found lower agreement among participants that were 18-24 years old (49%), received medical information from the internet/television (46%), and had lived in the U.S. for only 6-12 months (49%). Our findings suggest that immigrant patients may have limited understanding of their health literacy abilities. Clinicians need to take health literacy levels into account when interacting with patients.

Testing the Association Between Traditional and Novel Indicators of County-Level Structural Racism and Birth Outcomes among Black and White Women.

PubMed

Chambers, Brittany D; Erausquin, Jennifer Toller; Tanner, Amanda E; Nichols, Tracy R; Brown-Jeffy, Shelly

2017-12-07

Despite decreases in infants born premature and at low birth weight in the United States (U.S.), racial disparities between Black and White women continue. In response, the purpose of this analysis was to examine associations between both traditional and novel indicators of county-level structural racism and birth outcomes among Black and White women. We merged individual-level data from the California Birth Statistical Master Files 2009-2013 with county-level data from the United States (U.S.) Census American Community Survey. We used hierarchical linear modeling to examine Black-White differences among 531,170 primiparous women across 33 California counties. Traditional (e.g., dissimilarity index) and novel indicators (e.g., Black to White ratio in elected office) were associated with earlier gestational age and lower birth weight among Black and White women. A traditional indicator was more strongly associated with earlier gestational age for Black women than for White women. This was the first study to empirically demonstrate that structural racism, measured by both traditional and novel indicators, is associated with poor health and wellbeing of infants born to Black and White women. However, findings indicate traditional indicators of structural racism, rather than novel indicators, better explain racial disparities in birth outcomes. Results also suggest the need to develop more innovative approaches to: (1) measure structural racism at the county-level and (2) reform public policies to increase integration and access to resources.

County level socioeconomic position, work organization and depression disorder: a repeated measures cross-classified multilevel analysis of low-income nursing home workers.

PubMed

Muntaner, Carles; Li, Yong; Xue, Xiaonan; Thompson, Theresa; O'Campo, Patricia; Chung, Haejoo; Eaton, William W

2006-12-01

This study simultaneously tests the effect of county, organizational, workplace, and individual level variables on depressive disorders among low-income nursing assistants employed in US nursing homes. A total of 482 observations are used from two waves of survey data collection, with an average two-year interval between initial and follow-up surveys. The overall response rate was 62 percent. The hierarchically structured data was analyzed using multilevel modeling to account for cross-classifications across levels of data. Nursing assistants working in nursing homes covered by a single union in three states were asked about aspects of their working conditions, job stress, physical and mental health status, individual and family health-care needs, household economics and household strain. The 241 nursing assistants who participated in this study were employed in 34 nursing homes and lived in 49 counties of West Virginia, Ohio and Kentucky. The study finds that emotional strain, related to providing direct care to elderly and disabled clients, is associated with depressive disorder, as is nursing home ownership type (for-profit versus not-for-profit). However, when controlling for county level socioeconomic variables (Gini index and proportion of African Americans living in the county), neither workplace nor organizational level variables were found to be statistically significant associated with depressive disorder. This study supports previous findings that emotional demand in health-care environments is an important correlate of mental health. It also adds empirical evidence to support a link between financial strain and depression in US women. While this study does not find that lack of a seniority wage benefits--a factor that can conceivably exacerbate financial strain over time--is associated with depressive disorder among low-income health-care workers, it does find county level measures of poverty to be statistically significant predictors of depressive

Effects of Nativity, Length of Residence, and County-Level Foreign-Born Density on Mental Health Among Older Adults in the U.S

PubMed Central

Choi, Sunha; Kim, Giyeon

2016-01-01

Using the 2004–2007 Medical Expenditure Panel Survey data that are linked to county-level data from the Area Health Resources Files, this study examined whether the healthy immigrant effect applies to mental health of foreign-born older adults. Additionally, testing a protective ethnic density effect on older foreign-born individuals’ mental health, this study examined how the percentage of foreign-born population in the county affected the relationship between older adults’ immigration status (U.S.-nativity and length of residence in the U.S.) and their mental health status. The sample included 29,011 individuals (level-1) from 920 counties (level-2) across 50 states and D.C. Using the Mental Component Summary of the Short-Form 12, the Kessler Index (K-6), and the Patient Health Questionnaire (PHQ-2), U.S.-born individuals (n = 24,225), earlier immigrants (≥15 years in the U.S.; n = 3866), and recent immigrants (<15 years in the U.S.; n = 920) were compared. The results indicate that recent immigrants showed worse mental health on all three measures compared with U.S.-born individuals and on the K-6 and PHQ-2 compared with earlier immigrants. Higher county-level foreign-born densities were associated with worse mental health status of individuals. However, the significant interactions found in the full conditional multilevel models indicated that the high foreign-born density functioned as a risk factor for worse mental health only among recent immigrants but not among the U.S.-born. In conclusion, the results revealed the vulnerability of older recent immigrants, especially those living in the counties with high foreign-born densities. PMID:26910461

Effects of Nativity, Length of Residence, and County-Level Foreign-Born Density on Mental Health Among Older Adults in the U.S.

PubMed

Choi, Sunha; Kim, Giyeon; Lee, Sungkyu

2016-12-01

Using the 2004-2007 Medical Expenditure Panel Survey data that are linked to county-level data from the Area Health Resources Files, this study examined whether the healthy immigrant effect applies to mental health of foreign-born older adults. Additionally, testing a protective ethnic density effect on older foreign-born individuals' mental health, this study examined how the percentage of foreign-born population in the county affected the relationship between older adults' immigration status (U.S.-nativity and length of residence in the U.S.) and their mental health status. The sample included 29,011 individuals (level-1) from 920 counties (level-2) across 50 states and D.C. Using the Mental Component Summary of the Short-Form 12, the Kessler Index (K-6), and the Patient Health Questionnaire (PHQ-2), U.S.-born individuals (n = 24,225), earlier immigrants (≥15 years in the U.S.; n = 3866), and recent immigrants (<15 years in the U.S.; n = 920) were compared. The results indicate that recent immigrants showed worse mental health on all three measures compared with U.S.-born individuals and on the K-6 and PHQ-2 compared with earlier immigrants. Higher county-level foreign-born densities were associated with worse mental health status of individuals. However, the significant interactions found in the full conditional multilevel models indicated that the high foreign-born density functioned as a risk factor for worse mental health only among recent immigrants but not among the U.S.-born. In conclusion, the results revealed the vulnerability of older recent immigrants, especially those living in the counties with high foreign-born densities.

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.

Recent advances in the compilation of holocene relative Sea-level database in North America

NASA Astrophysics Data System (ADS)

Horton, B.; Vacchi, M.; Engelhart, S. E.; Nikitina, D.

2015-12-01

Reconstruction of relative sea level (RSL) has implications for investigation of crustal movements, calibration of earth rheology models and the reconstruction of ice sheets. In recent years, efforts were made to create RSL databases following a standardized methodology. These regional databases provided a framework for developing our understanding of the primary mechanisms of RSL change since the Last Glacial Maximum and a long-term baseline against which to gauge changes in sea-level during the 20th century and forecasts for the 21st. Here we present two quality-controlled Holocene RSL database compiled for North America. Along the Pacific coast of North America (British Columbia, Canada to California, USA), our re-evaluation of sea-level indicators from geological and archaeological investigations yield 841 RSL data-points mainly from salt and freshwater wetlands or adjacent estuarine sediment as well as from isolation basin. Along the Atlantic coast of North America (Hudson Bay, Canada to South Carolina, USA), we are currently compiling a database including more than 2000 RSL data-points from isolation basin, salt and freshwater wetlands, beach ridges and intratidal deposits. We outline the difficulties and solutions we made to compile databases in such different depostional environment. We address complex tectonics and the framework to compare such large variability of RSL data-point. We discuss the implications of our results for the glacio-isostatic adjustment (GIA) models in the two studied regions.

Geotagged US Tweets as Predictors of County-Level Health Outcomes, 2015–2016

PubMed Central

McCullough, Matt; Meng, Hsien-wen; Paul, Debjyoti; Li, Dapeng; Kath, Suraj; Loomis, Geoffrey; Nsoesie, Elaine O.; Wen, Ming; Smith, Ken R.; Li, Feifei

2017-01-01

Objectives. To leverage geotagged Twitter data to create national indicators of the social environment, with small-area indicators of prevalent sentiment and social modeling of health behaviors, and to test associations with county-level health outcomes, while controlling for demographic characteristics. Methods. We used Twitter’s streaming application programming interface to continuously collect a random 1% subset of publicly available geo-located tweets in the contiguous United States. We collected approximately 80 million geotagged tweets from 603 363 unique Twitter users in a 12-month period (April 2015–March 2016). Results. Across 3135 US counties, Twitter indicators of happiness, food, and physical activity were associated with lower premature mortality, obesity, and physical inactivity. Alcohol-use tweets predicted higher alcohol-use–related mortality. Conclusions. Social media represents a new type of real-time data that may enable public health officials to examine movement of norms, sentiment, and behaviors that may portend emerging issues or outbreaks—thus providing a way to intervene to prevent adverse health events and measure the impact of health interventions. PMID:28933925

Highlands County Energy Education Activities--High School Level.

ERIC Educational Resources Information Center

Allen, Rodney F., Ed.

Presented are five instructional units, developed by the Tri-County Teacher Education Center, for the purpose of educating secondary school students on Florida's unique energy problems. Unit one provides a series of value clarification and awareness activities as an introduction to energy. Unit two uses mathematics exercises to examine energy…

A dedicated database system for handling multi-level data in systems biology.

PubMed

Pornputtapong, Natapol; Wanichthanarak, Kwanjeera; Nilsson, Avlant; Nookaew, Intawat; Nielsen, Jens

2014-01-01

Advances in high-throughput technologies have enabled extensive generation of multi-level omics data. These data are crucial for systems biology research, though they are complex, heterogeneous, highly dynamic, incomplete and distributed among public databases. This leads to difficulties in data accessibility and often results in errors when data are merged and integrated from varied resources. Therefore, integration and management of systems biological data remain very challenging. To overcome this, we designed and developed a dedicated database system that can serve and solve the vital issues in data management and hereby facilitate data integration, modeling and analysis in systems biology within a sole database. In addition, a yeast data repository was implemented as an integrated database environment which is operated by the database system. Two applications were implemented to demonstrate extensibility and utilization of the system. Both illustrate how the user can access the database via the web query function and implemented scripts. These scripts are specific for two sample cases: 1) Detecting the pheromone pathway in protein interaction networks; and 2) Finding metabolic reactions regulated by Snf1 kinase. In this study we present the design of database system which offers an extensible environment to efficiently capture the majority of biological entities and relations encountered in systems biology. Critical functions and control processes were designed and implemented to ensure consistent, efficient, secure and reliable transactions. The two sample cases on the yeast integrated data clearly demonstrate the value of a sole database environment for systems biology research.

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…

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...

Influence of potential sea level rise on societal vulnerability to hurricane storm-surge hazards, Sarasota County, Florida

USGS Publications Warehouse

Frazier, T.G.; Wood, N.; Yarnal, B.; Bauer, D.H.

2010-01-01

Although the potential for hurricanes under current climatic conditions continue to threaten coastal communities, there is concern that climate change, specifically potential increases in sea level, could influence the impacts of future hurricanes. To examine the potential effect of sea level rise on community vulnerability to future hurricanes, we assess variations in socioeconomic exposure in Sarasota County, FL, to contemporary hurricane storm-surge hazards and to storm-surge hazards enhanced by sea level rise scenarios. Analysis indicates that significant portions of the population, economic activity, and critical facilities are in contemporary and future hurricane storm-surge hazard zones. The addition of sea level rise to contemporary storm-surge hazard zones effectively causes population and asset (infrastructure, natural resources, etc) exposure to be equal to or greater than what is in the hazard zone of the next higher contemporary Saffir-Simpson hurricane category. There is variability among communities for this increased exposure, with greater increases in socioeconomic exposure due to the addition of sea level rise to storm-surge hazard zones as one progresses south along the shoreline. Analysis of the 2050 comprehensive land use plan suggests efforts to manage future growth in residential, economic and infrastructure development in Sarasota County may increase societal exposure to hurricane storm-surge hazards. ?? 2010 Elsevier Ltd.

Influence of potential sea level rise on societal vulnerability to hurricane storm-surge hazards, Sarasota County, Florida

USGS Publications Warehouse

Frazier, Tim G.; Wood, Nathan; Yarnal, Brent; Bauer, Denise H.

2010-01-01

Although the potential for hurricanes under current climatic conditions continue to threaten coastal communities, there is concern that climate change, specifically potential increases in sea level, could influence the impacts of future hurricanes. To examine the potential effect of sea level rise on community vulnerability to future hurricanes, we assess variations in socioeconomic exposure in Sarasota County, FL, to contemporary hurricane storm-surge hazards and to storm-surge hazards enhanced by sea level rise scenarios. Analysis indicates that significant portions of the population, economic activity, and critical facilities are in contemporary and future hurricane storm-surge hazard zones. The addition of sea level rise to contemporary storm-surge hazard zones effectively causes population and asset (infrastructure, natural resources, etc) exposure to be equal to or greater than what is in the hazard zone of the next higher contemporary Saffir–Simpson hurricane category. There is variability among communities for this increased exposure, with greater increases in socioeconomic exposure due to the addition of sea level rise to storm-surge hazard zones as one progresses south along the shoreline. Analysis of the 2050 comprehensive land use plan suggests efforts to manage future growth in residential, economic and infrastructure development in Sarasota County may increase societal exposure to hurricane storm-surge hazards.

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.

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.

Development of an Impervious-Surface Database for the Little Blackwater River Watershed, Dorchester County, Maryland

USGS Publications Warehouse

Milheim, Lesley E.; Jones, John W.; Barlow, Roger A.

2007-01-01

Many agricultural and forested areas in proximity to National Wildlife Refuges (NWR) are under increasing economic pressure for commercial or residential development. The upper portion of the Little Blackwater River watershed - a 27 square mile area within largely low-lying Dorchester County, Maryland, on the eastern shore of the Chesapeake Bay - is important to the U.S. Fish and Wildlife Service (USFWS) because it flows toward the Blackwater National Wildlife Refuge (BNWR), and developmental impacts of areas upstream from the BNWR are unknown. One of the primary concerns for the Refuge is how storm-water runoff may affect living resources downstream. The Egypt Road project (fig. 1), for which approximately 600 residential units have been approved, has the potential to markedly change the land use and land cover on the west bank of the Little Blackwater River. In an effort to limit anticipated impacts, the Maryland Department of Natural Resources (Maryland DNR) recently decided to purchase some of the lands previously slated for development. Local topography, a high water table (typically 1 foot or less below the land surface), and hydric soils present a challenge for the best management of storm-water flow from developed surfaces. A spatial data coordination group was formed by the Dorchester County Soil and Conservation District to collect data to aid decisionmakers in watershed management and on the possible impacts of development on this watershed. Determination of streamflow combined with land cover and impervious-surface baselines will allow linking of hydrologic and geologic factors that influence the land surface. This baseline information will help planners, refuge managers, and developers discuss issues and formulate best management practices to mitigate development impacts on the refuge. In consultation with the Eastern Region Geospatial Information Office, the dataset selected to be that baseline land cover source was the June-July 2005 National

County Context and Mental Health Service Utilization by Older Hispanics.

PubMed

Kim, Kyeongmo

2018-04-16

Although older Hispanics experience high rates of depression, they tend to underuse mental health services. The study examined the association between county characteristics and mental health service use among older Hispanics, controlling for individual characteristics. The study used the 2008-2012 Medical Expenditure Panel Study and linked county-level data from the 2013-2014 Area Health Resources Files and the 2008-2012 Chronic Conditions Data Warehouse, using the Federal Information Processing Standard county code. The sample includes 1,143 community-dwelling Hispanics ages 60 years or older (Level 1) and 156 counties (Level 2) where the sample resides. The single dichotomous measure of mental health service utilization was based on whether or not the respondent met one or more of three conditions: (1) the respondent received care from a mental health professional, (2) received a service including mental health counseling or psychotherapy, or (3) received a service that was related to the International Classification of Diseases. Multilevel logistic regression analysis was used to examine the role of county context. The proportion of older adults and the existence of community mental health centers at the county-level were associated with mental health services use among this population. At the individual-level, education and mental health status were also associated with using mental health services. The county context plays an important role in understanding mental health services use among older Hispanics, indicating the need for intervention strategies at the county level.

DEVELOPMENT OF COUNTY-LEVEL WIND EROSION AND UNPAVED ROAD ALKALINE EMISSION ESTIMATES FOR THE 1985 NAPAP EMISSIONS INVENTORY

EPA Science Inventory

The report details the methods used and the result of the conversion of the National Acid Precipitation Assessment Program's (NAPAP's) alkaline material emissions information for wind erosion, unpaved roads, and dust devils from the' current spatial resolution to county-level res...

Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants

PubMed Central

Ireland, Molly E.; Chen, Qijia; Schwartz, H. Andrew; Ungar, Lyle H.; Albarracin, Dolores

2016-01-01

HIV is uncommon in most US counties but travels quickly through vulnerable communities when it strikes. Tracking behavior through social media may provide an unobtrusive, naturalistic means of predicting HIV outbreaks and understanding the behavioral and psychological factors that increase communities'; risk. General action goals, or the motivation to engage in cognitive and motor activity, may support protective health behavior (e.g., using condoms) or encourage activity indiscriminately (e.g., risky sex), resulting in mixed health effects. We explored these opposing hypotheses by regressing county-level HIV prevalence on action language (e.g., work, plan) in over 150 million tweets mapped to US counties. Controlling for demographic and structural predictors of HIV, more active language was associated with lower HIV rates. By leveraging language used on social media to improve existing predictive models of geographic variation in HIV, future targeted HIV-prevention interventions may have a better chance of reaching high-risk communities before outbreaks occur. PMID:26650382

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…

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.

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

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

A database of biological and geomorphological sea-level markers from the Last Glacial Maximum to present

PubMed Central

Hibbert, F.D.; Williams, F.H.; Fallon, S.J.; Rohling, E.J.

2018-01-01

The last deglacial was an interval of rapid climate and sea-level change, including the collapse of large continental ice sheets. This database collates carefully assessed sea-level data from peer-reviewed sources for the interval 0 to 25 thousand years ago (ka), from the Last Glacial Maximum to the present interglacial. In addition to facilitating site-specific reconstructions of past sea levels, the database provides a suite of data beyond the range of modern/instrumental variability that may help hone future sea-level projections. The database is global in scope, internally consistent, and contains U-series and radiocarbon dated indicators from both biological and geomorpohological archives. We focus on far-field data (i.e., away from the sites of the former continental ice sheets), but some key intermediate (i.e., from the Caribbean) data are also included. All primary fields (i.e., sample location, elevation, age and context) possess quantified uncertainties, which—in conjunction with available metadata—allows the reconstructed sea levels to be interpreted within both their uncertainties and geological context. PMID:29809175

Determinants of climate change awareness level in upper Nyakach Division, Kisumu County, Kenya.

PubMed

Ajuang, Chadwick O; Abuom, Paul O; Bosire, Esna K; Dida, Gabriel O; Anyona, Douglas N

2016-01-01

Improving the understanding of climate change awareness is one of the top priorities in climate change research. While the African continent is among the regions with the highest vulnerability to climate change, research on climate knowledge and awareness is lacking. Kenya is already grappling with the impacts of climate change, which are projected to increase in a non-linear and non-predictable manner. This study sought to determine climate change awareness levels among households residing in Upper Nyakach Division, Kisumu County, Kenya using common climate change markers viz heavy rainfall, floods, droughts and temperature. A cross-sectional survey design was adopted in which 384 household heads were selected as respondents from 11 sub-locations; all located within Upper Nyakach Division. A questionnaire was used to collect data. Most (90.9 %) respondents had observed changes in the overall climate. Awareness level of climate change varied significantly across the 11 sub-locations. To further gain insight unto which variables were the most significant determinant of climate change awareness in upper Nyakach division, Kisumu county, a Generalized Linear Model (GLM) with Poisson error distribution was built. The model indicated that sex of the household head, education level and age significantly influenced respondents' awareness to climate change markers. Most (87 %) households reported rising temperatures over the past 20 years. Over half (55.2 %) the respondents had observed declining rains, with significant differences being observed across age groups. Up to 75 % of the respondents reported increased droughts frequency over the last 20 years, with significant differences observed across gender. Most (86.7 %) respondents reported having observed changes in water sources with significant differences reported across age groups. The respondents reported an increased prevalence of malaria with significant differences being observed among the education levels

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…

Water-level conditions in the upper Cape Fear aquifer, 1992-94, in parts of Bladen and Robeson counties, North Carolina

USGS Publications Warehouse

Strickland, Alfred Gerald

1995-01-01

Water-level measurements were made on a periodic basis in 16 wells throughout an area of about 730 square miles in Bladen and Robeson Counties, North Carolina, from September 1992 to October 1994. Water levels from the wells were used to construct a map of the potentiometric surface of the upper Cape Fear aquifer in the fall of 1994. 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, has disrupted the natural pattern of ground-water flow. Ground water flows toward pumped wells resulting in cones of depression in the potentiometric surface. Water levels measured in 14 wells in 1992 and 1994 were used to estimate change in ground-water levels for the upper Cape Fear aquifer in the study area. During 1992-94, water-level declines occurred in the aquifer throughout much of the area as a result of pumping. The greatest decline was 90.6 feet in Bladen County.

Spatially detailed water footprint assessment using the U.S. National Water-Economy Database

NASA Astrophysics Data System (ADS)

Ruddell, B. L.

2015-12-01

The new U.S. National Water-Economy Database (NWED) provides a complete picture of water use and trade in water-derived goods and services in the U.S. economy, by economic sector, at the county and metropolitan area scale. This data product provides for the first time a basis for spatially detailed calculations of water footprints and virtual water trade in the entire U.S.. This talk reviews the general patterns of U.S. water footprint and virtual water trade, at the county scale., and provides an opportunity for the community to discuss applications of this database for water resource policy and economics. The water footprints of irrigated agriculture and energy are specifically addressed, as well as overall patterns of water use in the economy.

Construction, geologic, and water-level data for observation wells near Brentwood, Williamson County, Tennessee

USGS Publications Warehouse

Hanchar, Dorothea Withington

1989-01-01

Thirty-four observation wells were installed at 17 sites in the area of a hazardous-waste disposal site near Brentwood, in Williamson County, Tennessee. These wells were installed to supplement data collected from domestic wells in the area, to help define the geology of the study area and to determine the water levels. Both lithologic and geophysical logs were obtained for each well drilled to help define the formations encountered. Four limestone units, corresponding to the Bigby-Cannon limestone, the Hermitage Formation, the Carters Limestone (including the T-3 bentonite), and the Lebanon Limestone, were described from well cuttings and borehole geophysical logs. Water levels have been collected at both the shallow and deep wells at each site. (USGS)

Modified level II streambed-scour analysis for structure I-65-85-5527 crossing Sugar Creek in Johnson County, Indiana

USGS Publications Warehouse

Robinson, B.A.; Voelker, D.C.; Miller, R.L.

1997-01-01

Level II scour evaluations follow a process in which hydrologic, hydraulic, and sediment transport data are evaluated to calculate the depth of scour that may result when a given discharge is routed through a bridge opening. The results of the modified Level II analysis for structure 1-65-85-5527 on Interstate 65 crossing Sugar Creek in Johnson County, Indiana, are presented. The site is near the town of Amity in the southeastern part of Johnson County. Scour depths were computed with the Water Surface PROfile model, version V050196, which incorporates the scour-calculation procedures outlined in Hydraulic Engineering Circular No. 18. Total scour depths at the piers were approximately 26.8 feet for the modeled discharge of 26,000 cubic feet per second and approximately 30.8 feet for the modeled discharge of 34,100 cubic feet per second

Modified level II streambed-scour analysis for structure I-74-32-4946 crossing Sugar Creek in Montgomery County, Indiana

USGS Publications Warehouse

Miller, R.L.; Robinson, B.A.; Voelker, D.C.

1997-01-01

Level II scour evaluations follow a process in which hydrologic, hydraulic, and sedient-transport data are evaluated to calculate the depth of scour that may result when given discharge is routed through a bridge opening. The results of the modified Levell II analysis for structure I-74-32-4946 on Interstate 74 crossing Sugar Creek in Montgomery County, Indiana are presented. The site is near the town of Crawfordsville in the central part of Montgomery County. Scour depths were computed with the Water Surface PROfile model, version V050196, which incorporates the scour-calculation procedures outlined in Hydraulic Engineering Circular No. 18. Total scour depths at the piers were approximately 13.0 feet for the modeled discharge of 3,000  cubic feet per second and approximately 15.1 feet for the modeled discharge of 41,900 cubic feet per second.

Horticulture for Secondary Level Handicapped Adolescents: The Cherokee County Model.

ERIC Educational Resources Information Center

Frith, Greg H.; And Others

1981-01-01

The Cherokee County (Alabama) horticulture training program provides 40 mildly mentally retarded adolescents with vocational training in a marketable skills. The broad spectrum of vocational skills makes horticulture ideal for the handicapped. (DB)

Clark county monitoring program

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

Conway, Sheila; Auger, Jeremy; Navies, Irene

2007-07-01

Available in abstract form only. Full text of publication follows: Since 1988, Clark County has been one of the counties designated by the United States Department of Energy (DOE) as an 'Affected Unit of Local Government' (AULG). The AULG designation is an acknowledgement by the federal government that could be negatively impacted to a considerable degree by activities associated with the Yucca Mountain High Level Nuclear Waste Repository. These negative effects would have an impact on residents as individuals and the community as a whole. As an AULG, Clark County is authorized to identify 'any potential economic, social, public healthmore » and safety, and environmental impacts' of the potential repository (42 USC Section 10135(C)(1)(B)(1)). Toward this end, Clark County has conducted numerous studies of potential impacts, many of which are summarized in the Clark County's Impact Assessment Report that was submitted by the DOE and the president of the United States in February 2002. Given the unprecedented magnitude and duration of the DoE's proposal, as well as the many unanswered questions about the number of shipments and the modal mix, the estimate of impacts described in these studies are preliminary. In order to refine these estimates, Clark County Comprehensive Planning Department's Nuclear Waste Division is continuing to assess potential impacts. In addition, the County has implemented a Monitoring Program designed to capture changes to the social, environmental, and economic well-being of its residents resulting from the Yucca Mountain project and other significant events within the County. The Monitoring Program acts as an 'early warning system' that allows Clark County decision makers to proactive respond to impacts from the Yucca Mountain Project. (authors)« less

County-level estimates of nitrogen and phosphorus from animal manure for the conterminous United States, 2002

USGS Publications Warehouse

Mueller, David K.; Gronberg, Jo Ann M.

2013-01-01

County-level nitrogen and phosphorus inputs from animal manure for the conterminous United States for 2002 were estimated from animal populations from the 2002 Census of Agriculture by using methods described in U.S. Geological Survey Scientific Investigations Report 2006–5012. These estimates of nitrogen and phosphorus from animal manure were compiled in support of the U.S. Geological Survey’s National Water-Quality Assessment Program.

Evaluation of lead levels in children living near a Los Angeles county battery recycling facility.

PubMed Central

Wohl, A R; Dominguez, A; Flessel, P

1996-01-01

This cross-sectional study examined the association between environmental lead measurements surrounding a Los Angeles County battery recycling facility and the blood lead levels of the children living nearby. Environmental lead measurements and blood lead levels of young children living in a community adjacent to a stationary lead source were compared to those living in a community without a stationary lead source. Predictors of blood lead level were identified. The blood lead levels of the children living near the secondary lead smelter were within the normal range (< 5 micrograms/dl). The absence of ground cover was associated with slightly increased blood lead levels; however, this increase was not of biological significance. Lead levels in surface soil near the stationary lead source were elevated compared to the control community; however, the soil affected community, which may be due in part to controls recently installed at the stationary lead source. PMID:8919770

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...

Data collection and compilation for a geodatabase of groundwater, surface-water, water-quality, geophysical, and geologic data, Pecos County Region, Texas, 1930-2011

USGS Publications Warehouse

Pearson, Daniel K.; Bumgarner, Johnathan R.; Houston, Natalie A.; Stanton, Gregory P.; Teeple, Andrew; Thomas, Jonathan V.

2012-01-01

The U.S. Geological Survey, in cooperation with Middle Pecos Groundwater Conservation District, Pecos County, City of Fort Stockton, Brewster County, and Pecos County Water Control and Improvement District No. 1, compiled groundwater, surface-water, water-quality, geophysical, and geologic data for site locations in the Pecos County region, Texas, and developed a geodatabase to facilitate use of this information. Data were compiled for an approximately 4,700 square mile area of the Pecos County region, Texas. The geodatabase contains data from 8,242 sampling locations; it was designed to organize and store field-collected geochemical and geophysical data, as well as digital database resources from the U.S. Geological Survey, Middle Pecos Groundwater Conservation District, Texas Water Development Board, Texas Commission on Environmental Quality,and numerous other State and local databases. The geodatabase combines these disparate database resources into a simple data model. Site locations are geospatially enabled and stored in a geodatabase feature class for cartographic visualization and spatial analysis within a Geographic Information System. The sampling locations are related to hydrogeologic information through the use of geodatabase relationship classes. The geodatabase relationship classes provide the ability to perform complex spatial and data-driven queries to explore data stored in the geodatabase.

Trends and Patterns of Differences in Infectious Disease Mortality Among US Counties, 1980-2014.

PubMed

El Bcheraoui, Charbel; Mokdad, Ali H; Dwyer-Lindgren, Laura; Bertozzi-Villa, Amelia; Stubbs, Rebecca W; Morozoff, Chloe; Shirude, Shreya; Naghavi, Mohsen; Murray, Christopher J L

2018-03-27

Infectious diseases are mostly preventable but still pose a public health threat in the United States, where estimates of infectious diseases mortality are not available at the county level. To estimate age-standardized mortality rates and trends by county from 1980 to 2014 from lower respiratory infections, diarrheal diseases, HIV/AIDS, meningitis, hepatitis, and tuberculosis. This study used deidentified death records from the National Center for Health Statistics (NCHS) and population counts from the US Census Bureau, NCHS, and the Human Mortality Database. Validated small-area estimation models were applied to these data to estimate county-level infectious disease mortality rates. County of residence. Age-standardized mortality rates of lower respiratory infections, diarrheal diseases, HIV/AIDS, meningitis, hepatitis, and tuberculosis by county, year, and sex. Between 1980 and 2014, there were 4 081 546 deaths due to infectious diseases recorded in the United States. In 2014, a total of 113 650 (95% uncertainty interval [UI], 108 764-117 942) deaths or a rate of 34.10 (95% UI, 32.63-35.38) deaths per 100 000 persons were due to infectious diseases in the United States compared to a total of 72 220 (95% UI, 69 887-74 712) deaths or a rate of 41.95 (95% UI, 40.52-43.42) deaths per 100 000 persons in 1980, an overall decrease of 18.73% (95% UI, 14.95%-23.33%). Lower respiratory infections were the leading cause of infectious diseases mortality in 2014 accounting for 26.87 (95% UI, 25.79-28.05) deaths per 100 000 persons (78.80% of total infectious diseases deaths). There were substantial differences among counties in death rates from all infectious diseases. Lower respiratory infection had the largest absolute mortality inequality among counties (difference between the 10th and 90th percentile of the distribution, 24.5 deaths per 100 000 persons). However, HIV/AIDS had the highest relative mortality inequality between counties (10.0 as the

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.

Variations in county-level costs between traditional medicare and medicare advantage have implications for premium support.

PubMed

Biles, Brian; Casillas, Giselle; Guterman, Stuart

2015-01-01

Concern about the future growth of Medicare spending has led some in Congress and elsewhere to promote converting Medicare to a "premium support" system. Under premium support, Medicare would provide a "defined contribution" to each Medicare beneficiary to purchase either a Medicare Advantage (MA)-type private health plan or the traditional Medicare public plan. To better understand the implications of such a shift, we compared the average costs per beneficiary of providing Medicare benefits at the county level for traditional Medicare and four types of MA plans. We found that the relative costs of Medicare Advantage and traditional Medicare varied greatly by MA plan type and by geographic location. The costs of health maintenance organization-type plans averaged 7 percent less than those of traditional Medicare, but the costs of the more loosely structured preferred provider organization and private fee-for-service plans averaged 12-18 percent more than those of traditional Medicare. In some counties MA plan costs averaged 28 percent less than costs in traditional Medicare, while in other counties MA plan costs averaged 26 percent more than traditional Medicare costs. Enactment of a Medicare premium-support proposal could trigger cost increases for beneficiaries participating in Medicare Advantage as well as those in traditional Medicare. Project HOPE—The People-to-People Health Foundation, Inc.

Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp)

USGS Publications Warehouse

Hartwell, Stephen R.; Wingfield, Dana K.; Allwardt, Alan O.; Wong, Florence L.; Lightsom, Frances L.

2013-01-01

A shapefile of 492 Coastal Zone Management Program counties of the United States and its territories, current for the ground condition in 2009, has been extracted from the U.S. Census Bureau MAF/TIGER database. Geospatial information systems with the capability to search user-defined, polygonal geographic areas will be able to utilize this shapefile or secondary products derived from it, such as well-known text representations of the individual polygons within the shapefile.

Projecting county-level populations under three future scenarios: a technical document supporting the Forest Service 2010 RPA Assessment

Treesearch

Stanley J. Zarnoch; H. Ken Cordell; Carter J. Betz

2010-01-01

County-level population projections from 2010 to 2060 are developed under three national population growth scenarios for reporting in the 2010 Renewable Resources Planning Act (RPA) Assessment. These population growth scenarios are tied to global futures scenarios defined by the Intergovernmental Panel on Climate Change (IPCC), a program within the United Nations...

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

Seres Vivos. Nivel I. Basado en el curso de estudios de Ciencia de Montgomery County Public Schools. (Living Beings. Level 1. Based on the Montgomery County Public Schools Science Studies Program).

ERIC Educational Resources Information Center

Senger, Graciela

This curriculum unit, developed by the Montgomery County Public Schools, Maryland, was designed for use in the elementary level foreign language immersion program. It is geared toward the first grade science classroom. The unit includes instructional and performance objectives, necessary vocabulary lists, optional language structure sections,…

Forest area statistics for Midsouth counties

Treesearch

J. M. Earles

1973-01-01

This report summarizes acreage data on commercial forest land in counties of the seven States of the Midsouth. It includes some data that have been issued previously and some that have never been published at the county level. The information was gathered during 1963- 1972 by the Forest Resources Research Unit of the Southern Forest Experiment Station.

Forest cover of Champaign County, Illinois in 1993

Treesearch

Jesus Danilo Chinea; Louis R. Iverson

1997-01-01

The forest cover of Champaign County, in east-central Illinois, was mapped from 1993 aerial photography and entered in a geographical information system database. One hundred and six forest patches cover 3,380 ha. These patches have a mean area of 32 ha, a mean perimeter of 4,851 m, a mean perimeter to area ratio of 237, a fractal dimension of 1.59, and a mean nearest...

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

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

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…

[Application of land economic ecological niche in landscape pattern analysis at county level: A case study of Jinghe County in Xinjiang, China].

PubMed

Yu, Hai-yang; Zhang, Fei; Wang, Juan; Zhou, Mei

2015-12-01

The theory of land economic ecological niche was used to analyze the regional landscape pattern in this article, with an aim to provide a new method for the characterization and representation of landscape pattern. The Jinghe County region, which is ecologically fragile, was selected as an example for the study, and the Landsat images of 1990, 1998, 2011 and 2013 were selected as remote sensing data. The land economic ecological niche of land use types calculated by ecostate-ecorole theory, combined with landscape ecology theory, was discussed in application of land economic ecological niche in county landscape pattern analysis. The results showed that, during the study period, the correlations between land economic ecological niche of farmland, construction land, and grassland with the parameters, including landscape patch number (NP), aggregated index (AI), fragmented index (FN) and fractal dimension (FD), were significant. Regional landscape was driven by the changes of land economic ecological niche, and the trend of economic development could be represented by land economic ecological niche change in Jinghe County. Land economic ecological niche was closely related with the land use types which could yield direct economic benefits, which could well explain the landscape pattern characteristics in Jinghe County when combined with the landscape indices.

Annual economic impacts of seasonal influenza on US counties: Spatial heterogeneity and patterns

PubMed Central

2012-01-01

Economic impacts of seasonal influenza vary across US counties, but little estimation has been conducted at the county level. This research computed annual economic costs of seasonal influenza for 3143 US counties based on Census 2010, identified inherent spatial patterns, and investigated cost-benefits of vaccination strategies. The computing model modified existing methods for national level estimation, and further emphasized spatial variations between counties, in terms of population size, age structure, influenza activity, and income level. Upon such a model, four vaccination strategies that prioritize different types of counties were simulated and their net returns were examined. The results indicate that the annual economic costs of influenza varied from $13.9 thousand to $957.5 million across US counties, with a median of $2.47 million. Prioritizing vaccines to counties with high influenza attack rates produces the lowest influenza cases and highest net returns. This research fills the current knowledge gap by downscaling the estimation to a county level, and adds spatial variability into studies of influenza economics and interventions. Compared to the national estimates, the presented statistics and maps will offer detailed guidance for local health agencies to fight against influenza. PMID:22594494

Water-level database update for the Death Valley regional groundwater flow system, Nevada and California, 1907-2007

USGS Publications Warehouse

Pavelko, Michael T.

2010-01-01

The water-level database for the Death Valley regional groundwater flow system in Nevada and California was updated. The database includes more than 54,000 water levels collected from 1907 to 2007, from more than 1,800 wells. Water levels were assigned a primary flag and multiple secondary flags that describe hydrologic conditions and trends at the time of the measurement and identify pertinent information about the well or water-level measurement. The flags provide a subjective measure of the relative accuracy of the measurements and are used to identify which water levels are appropriate for calculating head observations in a regional transient groundwater flow model. Included in the report appendix are all water-level data and their flags, selected well data, and an interactive spreadsheet for viewing hydrographs and well locations.

Database Application for a Youth Market Livestock Production Education Program

ERIC Educational Resources Information Center

Horney, Marc R.

2013-01-01

This article offers an example of a database designed to support teaching animal production and husbandry skills in county youth livestock programs. The system was used to manage production goals, animal growth and carcass data, photos and other imagery, and participant records. These were used to produce a variety of customized reports to help…

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.

Production of individualized V gene databases reveals high levels of immunoglobulin genetic diversity

NASA Astrophysics Data System (ADS)

Corcoran, Martin M.; Phad, Ganesh E.; Bernat, Néstor Vázquez; Stahl-Hennig, Christiane; Sumida, Noriyuki; Persson, Mats A. A.; Martin, Marcel; Hedestam, Gunilla B. Karlsson

2016-12-01

Comprehensive knowledge of immunoglobulin genetics is required to advance our understanding of B cell biology. Validated immunoglobulin variable (V) gene databases are close to completion only for human and mouse. We present a novel computational approach, IgDiscover, that identifies germline V genes from expressed repertoires to a specificity of 100%. IgDiscover uses a cluster identification process to produce candidate sequences that, once filtered, results in individualized germline V gene databases. IgDiscover was tested in multiple species, validated by genomic cloning and cross library comparisons and produces comprehensive gene databases even where limited genomic sequence is available. IgDiscover analysis of the allelic content of the Indian and Chinese-origin rhesus macaques reveals high levels of immunoglobulin gene diversity in this species. Further, we describe a novel human IGHV3-21 allele and confirm significant gene differences between Balb/c and C57BL6 mouse strains, demonstrating the power of IgDiscover as a germline V gene discovery tool.

Production of individualized V gene databases reveals high levels of immunoglobulin genetic diversity

PubMed Central

Corcoran, Martin M.; Phad, Ganesh E.; Bernat, Néstor Vázquez; Stahl-Hennig, Christiane; Sumida, Noriyuki; Persson, Mats A.A.; Martin, Marcel; Hedestam, Gunilla B. Karlsson

2016-01-01

Comprehensive knowledge of immunoglobulin genetics is required to advance our understanding of B cell biology. Validated immunoglobulin variable (V) gene databases are close to completion only for human and mouse. We present a novel computational approach, IgDiscover, that identifies germline V genes from expressed repertoires to a specificity of 100%. IgDiscover uses a cluster identification process to produce candidate sequences that, once filtered, results in individualized germline V gene databases. IgDiscover was tested in multiple species, validated by genomic cloning and cross library comparisons and produces comprehensive gene databases even where limited genomic sequence is available. IgDiscover analysis of the allelic content of the Indian and Chinese-origin rhesus macaques reveals high levels of immunoglobulin gene diversity in this species. Further, we describe a novel human IGHV3-21 allele and confirm significant gene differences between Balb/c and C57BL6 mouse strains, demonstrating the power of IgDiscover as a germline V gene discovery tool. PMID:27995928

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.

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.

[Investigation of theoretical knowledge on schistosomiasis prevention and control among professionals in county level in Hunan and Hubei provinces].

PubMed

Zhang, Li-juan; Zhu, Rong; Xu, Jing; Li, Shi-zhu

2015-06-01

To understand the knowledge level on schistosomiasis prevention and treatment among professionals of schistosomiasis endemic counties in Hunan and Hubei provinces, so as to provide the basis for the ability construction of schistosomiasis control institution. The theoretical test was applied to investigate the mastering situation on schistosomiasis prevention and control among professionals of 12 selected schistosomiasis endemic counties in Hunan and Hubei provinces, and the results were analyzed statistically. Ninety-six professionals were surveyed. The average score was 66.94 ± 11.53, in the range of 34-91, and the pass rate was 75.00%. The scoring rates of the knowledge points of the test and treatment of schistosomiasis, snail survey and killing as well as basic knowledge and laws and regulations about schistosome were 68.69%, 70.54% and 73.19%, respectively. On the knowledge points of the test and treatment of schistosomiasis and basic knowledge and laws and regulations about schistosome, the differences among different education backgrounds were significant (F = 3.337, 4.793, both P < 0.05), and the scores were higher in professionals with higher diploma. In the scores, there were no statistical differences between or among different genders, age groups, professional titles or specialties (all P > 0.05). The overall knowledge level on schistosomiasis prevention and treatment of the professionals from 12 schistosomiasis endemic counties in Hunan and Hubei provinces is low. Therefore, the learning of relative knowledge should be strengthened.

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…

County-level analysis of the impact of temperature and population increases on California wildfire data

USGS Publications Warehouse

Baltar, M.; Keeley, Jon E.; Schoenberg, F.P.

2013-01-01

The extent to which the apparent increase in wildfire incidence and burn area in California from 1990 to 2006 is affected by population and temperature increases is examined. Using generalized linear models with random effects, we focus on the estimated impacts of increases in mean daily temperatures and populations in different counties on wildfire in those counties, after essentially controlling for the overall differences between counties in their overall mean temperatures and populations. We find that temperature increase appears to have a significant positive impact on both total burn area and number of observed wildfires. Population growth appears to have a much less pronounced impact on total burn area than do annual temperature increases, and population growth appears to be negatively correlated with the total number of observed wildfires. These effects are especially pronounced in the winter season and in Southern California counties.

Analysis of Changes in Ground-Water Levels in a Sewered and an Unsewered Area of Nassau County, Long Island, New York.

PubMed

Sulam, Dennis J

1979-09-01

From the 195O's to the early 1970's expansion of sanitary sewerage in southwest Nassau County contributed to progressive declines in ground-water levels. Since the early 197O's, however, 10 years after the area was fully sewered, water levels have not declined significantly, which suggests that the water table may have reached a new equilibrium position. Double-mass-curve analyses show that during 1953-76 the average weighted ground-water levels in a 32-square-mile (83-square-kilometer) part of the sewered area declined 12.2 feet (3.73 meters) more than those in the unsewered area to the east. However, by 1973 this decline was 13.5 feet (4.1 meters). Finite-difference digital-model results indicate that 3.6 feet (1.1 meters) of the relative 1953-76 decline was due to pumping in adjacent Queens County and that most of the remaining decline was a result of sewerage. Streamflow within the sewered area decreased in response to the lowered ground-water levels, and ground-water levels in the adjacent unsewered area were also lowered because of the sewerage.

Using linked administrative and disease-specific databases to study end-of-life care on a population level.

PubMed

Maetens, Arno; De Schreye, Robrecht; Faes, Kristof; Houttekier, Dirk; Deliens, Luc; Gielen, Birgit; De Gendt, Cindy; Lusyne, Patrick; Annemans, Lieven; Cohen, Joachim

2016-10-18

The use of full-population databases is under-explored to study the use, quality and costs of end-of-life care. Using the case of Belgium, we explored: (1) which full-population databases provide valid information about end-of-life care, (2) what procedures are there to use these databases, and (3) what is needed to integrate separate databases. Technical and privacy-related aspects of linking and accessing Belgian administrative databases and disease registries were assessed in cooperation with the database administrators and privacy commission bodies. For all relevant databases, we followed procedures in cooperation with database administrators to link the databases and to access the data. We identified several databases as fitting for end-of-life care research in Belgium: the InterMutualistic Agency's national registry of health care claims data, the Belgian Cancer Registry including data on incidence of cancer, and databases administrated by Statistics Belgium including data from the death certificate database, the socio-economic survey and fiscal data. To obtain access to the data, approval was required from all database administrators, supervisory bodies and two separate national privacy bodies. Two Trusted Third Parties linked the databases via a deterministic matching procedure using multiple encrypted social security numbers. In this article we describe how various routinely collected population-level databases and disease registries can be accessed and linked to study patterns in the use, quality and costs of end-of-life care in the full population and in specific diagnostic groups.

Area-level factors associated with electronic health record adoption and meaningful use in the Regional Extension Center Program

PubMed Central

Samuel, Cleo A

2014-01-01

Objective To identify area-level correlates of electronic health record (EHR) adoption and meaningful use (MU) among primary care providers (PCPs) enrolled in the Regional Extension Center (REC) Program. Materials and methods County-level data on 2013 EHR adoption and MU among REC-enrolled PCPs were obtained from the Office of the National Coordinator for Health Information Technology and linked with other county-level data sources including the Area Resource File, American Community Survey, and Federal Communications Commission's broadband availability database. Hierarchical models with random intercepts for RECs were employed to assess associations between a broad set of area-level factors and county-level rates of EHR adoption and MU. Results Among the 2715 counties examined, the average county-level EHR adoption and MU rates for REC-enrolled PCPs were 87.5% and 54.2%, respectively. Community health center presence and Medicaid enrollment concentration were positively associated with EHR adoption, while metropolitan status and Medicare Advantage enrollment concentration were positively associated with MU. Health professional shortage area status and minority concentration were negatively associated with EHR adoption and MU. Discussion Increased financial incentives in areas with greater concentrations of Medicaid and Medicare enrollees may be encouraging EHR adoption and MU among REC-enrolled PCPs. Disparities in EHR adoption and MU in some low-resource and underserved areas remain a concern. Conclusions Federal efforts to spur EHR adoption and MU have demonstrated some early success; however, some geographic variations in EHR diffusion indicate that greater attention needs to be paid to ensuring equitable uptake and use of EHRs throughout the US. PMID:24798687

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

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

Association of short-term exposure to ground-level ozone and respiratory outpatient clinic visits in a rural location – Sublette County, Wyoming, 2008–2011

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

Pride, Kerry R., E-mail: hgp3@cdc.gov; Wyoming Department of Health, 6101 Yellowstone Road, Suite 510, Cheyenne, WY 82002; Peel, Jennifer L.

Objective: Short-term exposure to ground-level ozone has been linked to adverse respiratory and other health effects; previous studies typically have focused on summer ground-level ozone in urban areas. During 2008–2011, Sublette County, Wyoming (population: ~10,000 persons), experienced periods of elevated ground-level ozone concentrations during the winter. This study sought to evaluate the association of daily ground-level ozone concentrations and health clinic visits for respiratory disease in this rural county. Methods: Clinic visits for respiratory disease were ascertained from electronic billing records of the two clinics in Sublette County for January 1, 2008–December 31, 2011. A time-stratified case-crossover design, adjusted formore » temperature and humidity, was used to investigate associations between ground-level ozone concentrations measured at one station and clinic visits for a respiratory health concern by using an unconstrained distributed lag of 0–3 days and single-day lags of 0 day, 1 day, 2 days, and 3 days. Results: The data set included 12,742 case-days and 43,285 selected control-days. The mean ground-level ozone observed was 47±8 ppb. The unconstrained distributed lag of 0–3 days was consistent with a null association (adjusted odds ratio [aOR]: 1.001; 95% confidence interval [CI]: 0.990–1.012); results for lags 0, 2, and 3 days were consistent with the null. However, the results for lag 1 were indicative of a positive association; for every 10-ppb increase in the 8-h maximum average ground-level ozone, a 3.0% increase in respiratory clinic visits the following day was observed (aOR: 1.031; 95% CI: 0.994–1.069). Season modified the adverse respiratory effects: ground-level ozone was significantly associated with respiratory clinic visits during the winter months. The patterns of results from all sensitivity analyzes were consistent with the a priori model. Conclusions: The results demonstrate an association of increasing

Measuring county resilience after the 2008 Wenchuan earthquake

NASA Astrophysics Data System (ADS)

Li, X.; Lam, N.; Qiang, Y.; Li, K.; Yin, L.; Liu, S.; Zheng, W.

2015-01-01

The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM) model, to quantify and validate the community resilience of 105 counties in the affected area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions, and then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county resilience. The analysis results show that counties located right at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency. The socioeconomic variables, including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities, were identified as the most influential socio-economic characteristics on resilience. This study provides useful information to improve county resilience to earthquakes and support decision-making for sustainable development.

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.

Ground-water resources of Audrain County, Missouri

USGS Publications Warehouse

Emmett, L.F.; Imes, J.L.

1984-01-01

The deep (principal) aquifer in Audrain County has an average thickness of about 1,300 feet and is composed of dolomite and minor quantities of sandstone of Cambrian and Ordovician age. The deep aquifer is the source of water for all public-supply and irrigation wells in Audrain County. Pumpage from the deep aquifer has caused a decrease in hydraulic head of more than 200 feet since 1900 in the vicinity of the city of Mexico. Calculations from a two-dimensional digital model of the deep aquifer indicate that the drawdown would increase 10 to 25 feet from May 1979 levels in Audrain County by May 2000 in the absence of irrigation pumpage and if public-supply wells continue to pump at the 1980 rate. If the additional stress due to seasonal irrigation is continued at 1980 pumping rates, 60 +/- 20 feet of drawdown is predicted by May 2000. Audrain County is the northernmost extent of freshwater in this aquifer in Missouri. In Audrain County the dissolved-solids concentration of water from this aquifer varies from 1,200 milligrams per liter in the north to less than 400 milligrams per liter in the south. Lowered water levels in the aquifer may allow water with a larger dissolved-solids concentration to move into the area. (USGS)

ESCOLEX: a grade-level lexical database from European Portuguese elementary to middle school textbooks.

PubMed

Soares, Ana Paula; Medeiros, José Carlos; Simões, Alberto; Machado, João; Costa, Ana; Iriarte, Álvaro; de Almeida, José João; Pinheiro, Ana P; Comesaña, Montserrat

2014-03-01

In this article, we introduce ESCOLEX, the first European Portuguese children's lexical database with grade-level-adjusted word frequency statistics. Computed from a 3.2-million-word corpus, ESCOLEX provides 48,381 word forms extracted from 171 elementary and middle school textbooks for 6- to 11-year-old children attending the first six grades in the Portuguese educational system. Like other children's grade-level databases (e.g., Carroll, Davies, & Richman, 1971; Corral, Ferrero, & Goikoetxea, Behavior Research Methods, 41, 1009-1017, 2009; Lété, Sprenger-Charolles, & Colé, Behavior Research Methods, Instruments, & Computers, 36, 156-166, 2004; Zeno, Ivens, Millard, Duvvuri, 1995), ESCOLEX provides four frequency indices for each grade: overall word frequency (F), index of dispersion across the selected textbooks (D), estimated frequency per million words (U), and standard frequency index (SFI). It also provides a new measure, contextual diversity (CD). In addition, the number of letters in the word and its part(s) of speech, number of syllables, syllable structure, and adult frequencies taken from P-PAL (a European Portuguese corpus-based lexical database; Soares, Comesaña, Iriarte, Almeida, Simões, Costa, …, Machado, 2010; Soares, Iriarte, Almeida, Simões, Costa, França, …, Comesaña, in press) are provided. ESCOLEX will be a useful tool both for researchers interested in language processing and development and for professionals in need of verbal materials adjusted to children's developmental stages. ESCOLEX can be downloaded along with this article or from http://p-pal.di.uminho.pt/about/databases .

Commodity Flow Study - Clark County, Nevada, USA

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

Conway, S.Ph.D.; Navis, I.

2008-07-01

The United States Department of Energy has designated Clark County, Nevada as an 'Affected Unit of Local Government' due to the potential for impacts by activities associated with the Yucca Mountain High Level Nuclear Waste Repository project. Urban Transit, LLC has led a project team of transportation including experts from the University of Nevada Las Vegas Transportation Research Center to conduct a hazardous materials community flow study along Clark County's rail and truck corridors. In addition, a critical infrastructure analysis has also been carried out in order to assess the potential impacts of transportation within Clark County of high levelmore » nuclear waste and spent nuclear fuel to a proposed repository 90 miles away in an adjacent county on the critical infrastructure in Clark County. These studies were designed to obtain information relating to the transportation, identification and routing of hazardous materials through Clark County. Coordinating with the United States Department of Energy, the U.S. Department of Agriculture, the U. S. Federal Highway Administration, the Nevada Department of Transportation, and various other stakeholders, these studies and future research will examine the risk factors along the entire transportation corridor within Clark County and provide a context for understanding the additional vulnerability associated with shipping spent fuel through Clark County. (authors)« less

Needs Assessment for Behavioral Health Workforce: a State-Level Analysis.

PubMed

Nayar, Preethy; Apenteng, Bettye; Nguyen, Anh T; Shaw-Sutherland, Kelly; Ojha, Diptee; Deras, Marlene

2017-07-01

This study describes trends in the supply and the need for behavioral health professionals in Nebraska. A state-level health workforce database was used to estimate the behavioral health workforce supply and need. Compared with national estimates, Nebraska has a lower proportion of all categories of behavioral health professionals. The majority of Nebraska counties have unusually high needs for mental health professionals, with rural areas experiencing a decline in the supply of psychiatrists over the last decade. Availability of robust state-level health workforce data can assist in crafting effective policy for successful systems change, particularly for behavioral health.

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

Pregnant women in Timis County, Romania are exposed primarily to low-level (<10 μg/L) arsenic through residential drinking water consumption

PubMed Central

Neamtiu, Iulia; Bloom, Michael S.; Gati, Gabriel; Goessler, Walter; Surdu, Simona; Pop, Cristian; Braeuer, Simone; Fitzgerald, Edward F.; Baciu, Calin; Lupsa, Ioana Rodica; Anastasiu, Doru; Gurzau, Eugen

2015-01-01

Excessive arsenic content in drinking water poses health risks to millions of people worldwide. Inorganic arsenic (iAs) in groundwater exceeding the 10 μg/l maximum contaminant level (MCL) set by the World Health Organization (WHO) is characteristic for intermediate-depth aquifers over large areas of the Pannonian Basin in Central Europe. In western Romania, near the border with Hungary, Arad, Bihor, and Timis counties use drinking water coming partially or entirely from iAs contaminated aquifers. In nearby Arad and Bihor counties, more than 45,000 people are exposed to iAs over 10 μg/l via public drinking water sources. However, comparable data are unavailable for Timis County. To begin to address this data gap, we determined iAs in 124 public and private Timis County drinking water sources, including wells and taps, used by pregnant women participating in a case-control study of spontaneous loss. Levels in water sources were low overall (median = 3.0; range = < 0.5–175 μg/l), although higher in wells (median = 3.1, range = < 0.5–175) than in community taps (median = 2.7, range = < 0.5–36.4). In a subsample of 20 control women we measured urine biomarkers of iAs exposure, including iAs (arsenite and arsenate), dimethylarsinic acid (DMA), and methylarsonic acid (MMA). Median values were higher among 10 women using iAs contaminated drinking water sources compared to 10 women using uncontaminated sources for urine total iAs (6.6 vs. 5.0 μg/l, P = 0.24) and DMA (5.5 vs. 4.2 μg/l, P = 0.31). The results suggested that the origin of urine total iAs (r = 0.35, P = 0.13) and DMA (r = 0.31, P = 0.18) must have been not only iAs in drinking-water but also some other source. Exposure of pregnant women to arsenic via drinking water in Timis County appears to be lower than for surrounding counties; however, it deserves a more definitive investigation as to its origin and the regional distribution of its risk potential. PMID:25697081

Pregnant women in Timis County, Romania are exposed primarily to low-level (<10μg/l) arsenic through residential drinking water consumption.

PubMed

Neamtiu, Iulia; Bloom, Michael S; Gati, Gabriel; Goessler, Walter; Surdu, Simona; Pop, Cristian; Braeuer, Simone; Fitzgerald, Edward F; Baciu, Calin; Lupsa, Ioana Rodica; Anastasiu, Doru; Gurzau, Eugen

2015-06-01

Excessive arsenic content in drinking water poses health risks to millions of people worldwide. Inorganic arsenic (iAs) in groundwater exceeding the 10μg/l maximum contaminant level (MCL) set by the World Health Organization (WHO) is characteristic for intermediate-depth aquifers over large areas of the Pannonian Basin in Central Europe. In western Romania, near the border with Hungary, Arad, Bihor, and Timis counties use drinking water coming partially or entirely from iAs contaminated aquifers. In nearby Arad and Bihor counties, more than 45,000 people are exposed to iAs over 10μg/l via public drinking water sources. However, comparable data are unavailable for Timis County. To begin to address this data gap, we determined iAs in 124 public and private Timis County drinking water sources, including wells and taps, used by pregnant women participating in a case-control study of spontaneous loss. Levels in water sources were low overall (median=3.0; range=<0.5-175μg/l), although higher in wells (median=3.1, range=<0.5-1.75) than in community taps (median=2.7, range=<0.5-36.4). In a subsample of 20 control women we measured urine biomarkers of iAs exposure, including iAs (arsenite and arsenate), dimethylarsinic acid (DMA), and methylarsonic acid (MMA). Median values were higher among 10 women using iAs contaminated drinking water sources compared to 10 women using uncontaminated sources for urine total iAs (6.6 vs. 5.0μg/l, P=0.24) and DMA (5.5 vs. 4.2μg/l, P=0.31). The results suggested that the origin of urine total iAs (r=0.35, P=0.13) and DMA (r=0.31, P=0.18) must have been not only iAs in drinking-water but also some other source. Exposure of pregnant women to arsenic via drinking water in Timis County appears to be lower than for surrounding counties; however, it deserves a more definitive investigation as to its origin and the regional distribution of its risk potential. Copyright © 2015 Elsevier GmbH. All rights reserved.

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

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

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

The national database of wildfire mitigation programs: state, county and local efforts reduce wildfire risk

Treesearch

Terry Haines; Cheryl Renner; Margaret Reams; James Granskog

2005-01-01

The growth of residential communities within forested areas has increased the danger to life and property from uncontrolled wildfire. In response, states, counties and local governments in the United States have dramatically increased their wildfire mitigation efforts. Policymakers and fire officials are employing a wide range of regulatory and voluntary wildfire risk...

Water resources of Langlade County, Wisconsin

USGS Publications Warehouse

Batten, W.G.

1987-01-01

An average of about 4.7 million gallons of water was pumped daily in Langlade County in 1983. Irrigation and fish rearing are the major ground-water uses in the county. An average of about 4.2 million gallons per day was pumped for irrigation during the months of June, July, and August. Results of this study show that present irrigation pumpage rates have little effect on groundwater levels in the Antigo Flats area.

School Progress Report 2013. Montgomery County Public Schools

ERIC Educational Resources Information Center

Montgomery County Public Schools, 2014

2014-01-01

The 2013 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 for the 2012-2013 school year. Montgomery…

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…

Geologic and geophysical maps of the El Casco 7.5′ quadrangle, Riverside County, southern California, with accompanying geologic-map database

USGS Publications Warehouse

Matti, J.C.; Morton, D.M.; Langenheim, V.E.

2015-01-01

Geologic information contained in the El Casco database is general-purpose data applicable to land-related investigations in the earth and biological sciences. The term “general-purpose” means that all geologic-feature classes have minimal information content adequate to characterize their general geologic characteristics and to interpret their general geologic history. However, no single feature class has enough information to definitively characterize its properties and origin. For this reason the database cannot be used for site-specific geologic evaluations, although it can be used to plan and guide investigations at the site-specific level.

Self-reported physical activity in a rural county: a New York county health census.

PubMed Central

Eaton, C B; Nafziger, A N; Strogatz, D S; Pearson, T A

1994-01-01

OBJECTIVES. Few studies have described physical activity in rural populations. This study describes the frequency, types, and correlates of physical activity in 29,304 free-living adults in a rural county in New York State. METHODS. Self-reported responses about regular physical activity (maintained long enough to work up a sweat) were analyzed from a private household census of Otsego County with an 86.6% response rate. RESULTS. This survey categorized 46.2% of county residents as sedentary. Walking, the most frequent choice of activity (62% of the women, 36% of the men), increased in frequency with age of respondents whereas cycling, jogging, aerobics, team sports, and swimming (listed in rank order of frequency) generally tended to decrease in frequency with age. Farmers demonstrated an increased amount of "sweat activity" compared with persons in most other occupations. CONCLUSIONS. This descriptive study of physical activity in a rural county shows that sedentary lifestyle is of high prevalence. The high frequency of walking and the gender differences in both the levels and choice of activity suggest that further research and public policy recommendations focus on these issues. PMID:8279607

PAEDIATRIC CT EXPOSURE PRACTICE IN THE COUNTY OF RIO DE JANEIRO: THE NEED TO ESTABLISH DIAGNOSTIC REFERENCE LEVELS.

PubMed

de Jesus, Fillipe M; Magalhães, Luis A G; Kodlulovich, Simone

2016-11-01

A pilot study of dose indicators in paediatric computed tomography (CT) was conducted to prove the need to establish diagnostic reference levels (DRLs) for the county of Rio de Janeiro. The dose descriptors were estimated from the beam dosimetry by applying the protocols used in each examination. The total patient sample included 279 children. Regarding the comparison of the dose-length product values among the hospitals, the high-resolution chest CT scans were distinguished among the three types of examinations, due to the discrepancies of 1148 % (1-5 y age group) and 2248 % (5-10 y age group) presented in Hospital A's dose-length product values relative to Hospital D's dose-length product values. The results showed that without DRL, the dose variation can be significant between hospitals in the same county for the same age group in the same examination. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Soil salinity detection. [Starr and Cameron Counties, Texas

NASA Technical Reports Server (NTRS)

Wiegand, C. L.; Richardson, A. J.; Gausman, H. W.; Leamer, R. W.; Gerbermann, A. H.; Everitt, J. H.; Cuellar, J. A. (Principal Investigator)

1975-01-01

The author has identified the following significant results. Growth forms and herbage biomass production varied considerably among saline and nonsaline soil range sites in Starr County. Grasses on saline soil sites were shallow-rooted and short whereas on nonsaline sites there was an intermixture of short and midgrass species. Differentiation between primarily undisturbed saline and nonsaline rangelands, in Starr County, is partially possible using film optical density readings from Skylab imagery. Differentiation among eight saline and nonsaline soil sites in Cameron County, using black and white and color film was not possible according to statistical results from both DMRT and correlation analysis. Linear analysis showed that Bendix 24-band MSS data (aircraft) collected at 1700 m and 4800 m, as well as Skylab and LANDSAT-1 MSS data, were significantly correlated to electrical conductivity readings. In Starr County, the best spectral band for detection of saline soil levels, using black and white SO-022 film, was in the 0.6 to 0.7 micron spectral region. In Cameron County, the best spectral bands for detection of saline soil levels were the 2.3 to 2.43 micron, 0.72 to 0.76 micron, 0.69 to 1.75 micron, and 0.7 to 1.1 micron spectral regions.

Trends and Patterns of Geographic Variation in Cardiovascular Mortality Among US Counties, 1980–2014

PubMed Central

Roth, Gregory A.; Dwyer-Lindgren, Laura; Bertozzi-Villa, Amelia; Stubbs, Rebecca W.; Morozoff, Chloe; Naghavi, Mohsen; Mokdad, Ali H.; Murray, Christopher J. L.

2017-01-01

IMPORTANCE In the United States, regional variation in cardiovascular mortality is well-known but county-level estimates for all major cardiovascular conditions have not been produced. OBJECTIVE To estimate age-standardized mortality rates from cardiovascular diseases by county. DESIGN AND SETTING Deidentified death records from the National Center for Health Statistics and population counts from the US Census Bureau, the National Center for Health Statistics, and the Human Mortality Database from 1980 through 2014 were used. Validated small area estimation models were used to estimate county-level mortality rates from all cardiovascular diseases, including ischemic heart disease, cerebrovascular disease, ischemic stroke, hemorrhagic stroke, hypertensive heart disease, cardiomyopathy, atrial fibrillation and flutter, rheumatic heart disease, aortic aneurysm, peripheral arterial disease, endocarditis, and all other cardiovascular diseases combined. EXPOSURES The 3110 counties of residence. MAIN OUTCOMES AND MEASURES Age-standardized cardiovascular disease mortality rates by county, year, sex, and cause. RESULTS From 1980 to 2014, cardiovascular diseases were the leading cause of death in the United States, although the mortality rate declined from 507.4 deaths per 100 000 persons in 1980 to 252.7 deaths per 100 000 persons in 2014, a relative decline of 50.2% (95% uncertainty interval [UI], 49.5%–50.8%). In 2014, cardiovascular diseases accounted for more than 846 000 deaths (95% UI, 827–865 thousand deaths) and 11.7 million years of life lost (95% UI, 11.6–11.9 million years of life lost). The gap in age-standardized cardiovascular disease mortality rates between counties at the 10th and 90th percentile declined 14.6% from 172.1 deaths per 100 000 persons in 1980 to 147.0 deaths per 100 000 persons in 2014 (posterior probability of decline >99.9%). In 2014, the ratio between counties at the 90th and 10th percentile was 2.0 for ischemic heart disease (119.1 vs

Variation in life expectancy and mortality by cause among neighbourhoods in King County, WA, USA, 1990-2014: a census tract-level analysis for the Global Burden of Disease Study 2015.

PubMed

Dwyer-Lindgren, Laura; Stubbs, Rebecca W; Bertozzi-Villa, Amelia; Morozoff, Chloe; Callender, Charlton; Finegold, Samuel B; Shirude, Shreya; Flaxman, Abraham D; Laurent, Amy; Kern, Eli; Duchin, Jeffrey S; Fleming, David; Mokdad, Ali H; Murray, Christopher J L

2017-09-01

Health outcomes are known to vary at both the country and local levels, but trends in mortality across a detailed and comprehensive set of causes have not been previously described at a very local level. Life expectancy in King County, WA, USA, is in the 95th percentile among all counties in the USA. However, little is known about how life expectancy and mortality from different causes of death vary at a local, neighbourhood level within this county. In this analysis, we estimated life expectancy and cause-specific mortality within King County to describe spatial trends, quantify disparities in mortality, and assess the contribution of each cause of death to overall disparities in all-cause mortality. We applied established so-called garbage code redistribution algorithms and small area estimation methods to death registration data for King County to estimate life expectancy, cause-specific mortality rates, and years of life lost (YLL) rates from 152 causes of death for 397 census tracts from Jan 1, 1990, to Dec 31, 2014. We used the cause list developed for the Global Burden of Disease 2015 study for this analysis. Deaths were tabulated by age group, sex, census tract, and cause of death. We used Bayesian mixed-effects regression models to estimate mortality overall and from each cause. Between 1990 and 2014, life expectancy in King County increased by 5·4 years (95% uncertainty interval [UI] 5·0-5·7) among men (from 74·0 years [73·7-74·3] to 79·3 years [79·1-79·6]) and by 3·4 years (3·0-3·7) among women (from 80·0 years [79·7-80·2] to 83·3 years [83·1-83·5]). In 2014, life expectancy ranged from 68·4 years (95% UI 66·9-70·1) to 86·7 years (85·0-88·2) for men and from 73·6 years (71·6-75·5) to 88·4 years (86·9-89·9) for women among census tracts within King County. Rates of YLL by cause also varied substantially among census tracts for each cause of death. Geographical areas with relatively high and relatively low YLL rates differed

MOSAIC: an online database dedicated to the comparative genomics of bacterial strains at the intra-species level.

PubMed

Chiapello, Hélène; Gendrault, Annie; Caron, Christophe; Blum, Jérome; Petit, Marie-Agnès; El Karoui, Meriem

2008-11-27

The recent availability of complete sequences for numerous closely related bacterial genomes opens up new challenges in comparative genomics. Several methods have been developed to align complete genomes at the nucleotide level but their use and the biological interpretation of results are not straightforward. It is therefore necessary to develop new resources to access, analyze, and visualize genome comparisons. Here we present recent developments on MOSAIC, a generalist comparative bacterial genome database. This database provides the bacteriologist community with easy access to comparisons of complete bacterial genomes at the intra-species level. The strategy we developed for comparison allows us to define two types of regions in bacterial genomes: backbone segments (i.e., regions conserved in all compared strains) and variable segments (i.e., regions that are either specific to or variable in one of the aligned genomes). Definition of these segments at the nucleotide level allows precise comparative and evolutionary analyses of both coding and non-coding regions of bacterial genomes. Such work is easily performed using the MOSAIC Web interface, which allows browsing and graphical visualization of genome comparisons. The MOSAIC database now includes 493 pairwise comparisons and 35 multiple maximal comparisons representing 78 bacterial species. Genome conserved regions (backbones) and variable segments are presented in various formats for further analysis. A graphical interface allows visualization of aligned genomes and functional annotations. The MOSAIC database is available online at http://genome.jouy.inra.fr/mosaic.

Adult Literacy. Cuyahoga County Data Brief

ERIC Educational Resources Information Center

Center on Urban Poverty and Community Development (NJ1), 2010

2010-01-01

There are no direct measures of adult literacy in Cuyahoga County. Instead, this report uses estimates based on a statistical model derived from the National Survey of Adult Literacy. Adult literacy levels range from Level 1 (the most basic) to Level 5 (the most complex). People with Level 1 literacy are at a severe disadvantage in the sense that…

Where Is Obesity Prevention on the Map? Distribution and Predictors of Local Health Department Prevention Activities in Relation to County-Level Obesity Prevalence in the US

PubMed Central

Stamatakis, Katherine A.; Leatherdale, Scott T.; Marx, Christine; Yan, Yan; Colditz, Graham A.; Brownson, Ross C.

2013-01-01

Context The system of local health departments (LHD) in the US has potential to advance a locally-oriented public health response in obesity control and reduce geographic disparities. However, the extent to which obesity prevention programs correspond to local obesity levels is unknown. Objective This study examines the extent to which LHDs across the US have responded to local levels of obesity by examining the association between jurisdiction level obesity prevalence and the existence of obesity prevention programs. Design Data on LHD organizational characteristics from the Profile Study of Local Health Departments and county-level estimates of obesity from the Behavioral Risk Factor Surveillance System were analyzed (n=2,300). Since local public health systems are nested within state infrastructure, multilevel models were used to examine the relationship between county-level obesity prevalence and LHD obesity prevention programming and to assess the impact of state-level clustering. Setting 2,300 local health department jurisdictions defined with respect to county boundaries Participants Practitioners in local health departments who responded to the 2005 Profile Study of Local Health Departments. Main Outcome Measures Likelihood of having obesity prevention activities and association with area-level obesity prevalence Results The existence of obesity prevention activities was not associated with prevalence of obesity in the jurisdiction. A substantial portion of the variance in LHD activities was explained by state-level clustering. Conclusions This paper identified a gap in the local public health response to the obesity epidemic and underscores the importance of multilevel modeling in examining predictors of LHD performance. PMID:22836530

Data dictionary and discussion for the midnite mine GIS database. Report of investigations/1996

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

Peters, D.C.; Smith, M.A.; Ferderer, D.A.

1996-01-18

A geographic information system (GIS) database has been developed by the U.S. Bureau of Mines (USBM) for the Midnite Mine and surroundings in northeastern Washington State (Stevens County) on the Spokane Indian Reservation. The GIS database was compiled to serve as a repository and source of historical and research information on the mine site. The database also will be used by the Bureau of Land Management and the Bureau of Indian Affairs (as well as others) for environmental assessment and reclamation planning for future remediation and reclamation of the site. This report describes the data in the GIS database andmore » their characteristics. The report also discusses known backgrounds on the data sets and any special considerations encountered by the USBM in developing the database.« less

Groundwater-Quality Assessment, Pike County, Pennsylvania, 2007

USGS Publications Warehouse

Senior, Lisa A.

2009-01-01

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

Estimating coastal wetland gain and losses in Galveston County and Cameron County, Texas, USA.

PubMed

Entwistle, Clare; Mora, Miguel A; Knight, Robert

2018-01-01

Coastal wetlands serve many important ecological services. One of these important ecological services is their use as storm buffers. Coastal wetlands provide habitat for migratory birds and aquatic species and can improve water quality. In the late 1990s, the US Fish and Wildlife Service (USFWS) published a study outlining the trends of coastal wetlands from the 1950s to early 1990s. In the present study, wetland gains and losses were calculated for Galveston County and Cameron County, Texas, USA, between 2001 and 2011. Maps from the National Land Cover Database were used to determine wetland areas for the years 2001, 2006, and 2011. ArcGIS was used to compare land cover between the study periods to determine overall wetland losses and gains. A statistical analysis was performed between wetland loss and population data to determine whether increased population density led to a higher loss of wetlands. Our analysis indicates that wetland loss is still occurring, however at a lower rate of loss (0.14%-0.18% annually) than the USFWS study predicted earlier (2.7%). In addition, the majority of wetland losses were due to conversion to upland areas. We found a positive correlation between increased population density and decreased wetland area; however, the trend was not significant. The present study shows how the majority of wetland loss in Galveston and Cameron counties is occurring as a result of increased upland areas. In addition, the present study shows that the use of online mapping systems can be used as a low-cost alternative to assess land changes when field tests are not feasible. Integr Environ Assess Manag 2018;14:120-129. © 2017 SETAC. © 2017 SETAC.

Phynx: an open source software solution supporting data management and web-based patient-level data review for drug safety studies in the general practice research database and other health care databases.

PubMed

Egbring, Marco; Kullak-Ublick, Gerd A; Russmann, Stefan

2010-01-01

To develop a software solution that supports management and clinical review of patient data from electronic medical records databases or claims databases for pharmacoepidemiological drug safety studies. We used open source software to build a data management system and an internet application with a Flex client on a Java application server with a MySQL database backend. The application is hosted on Amazon Elastic Compute Cloud. This solution named Phynx supports data management, Web-based display of electronic patient information, and interactive review of patient-level information in the individual clinical context. This system was applied to a dataset from the UK General Practice Research Database (GPRD). Our solution can be setup and customized with limited programming resources, and there is almost no extra cost for software. Access times are short, the displayed information is structured in chronological order and visually attractive, and selected information such as drug exposure can be blinded. External experts can review patient profiles and save evaluations and comments via a common Web browser. Phynx provides a flexible and economical solution for patient-level review of electronic medical information from databases considering the individual clinical context. It can therefore make an important contribution to an efficient validation of outcome assessment in drug safety database studies.

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.

Reduction of community alcohol problems: computer simulation experiments in three counties.

PubMed

Holder, H D; Blose, J O

1987-03-01

A series of alcohol abuse prevention strategies was evaluated using computer simulation for three counties in the United States: Wake County, North Carolina, Washington County, Vermont and Alameda County, California. A system dynamics model composed of a network of interacting variables was developed for the pattern of alcoholic beverage consumption in a community. The relationship of community drinking patterns to various stimulus factors was specified in the model based on available empirical research. Stimulus factors included disposable income, alcoholic beverage prices, advertising exposure, minimum drinking age and changes in cultural norms. After a generic model was developed and validated on the national level, a computer-based system dynamics model was developed for each county, and a series of experiments was conducted to project the potential impact of specific prevention strategies. The project concluded that prevention efforts can both lower current levels of alcohol abuse and reduce projected increases in alcohol-related problems. Without such efforts, already high levels of alcohol-related family disruptions in the three counties could be expected to rise an additional 6% and drinking-related work problems 1-5%, over the next 10 years after controlling for population growth. Of the strategies tested, indexing the price of alcoholic beverages to the consumer price index in conjunction with the implementation of a community educational program with well-defined target audiences has the best potential for significant problem reduction in all three counties.

Do US Ambient Air Lead Levels Have a Significant Impact on Childhood Blood Lead Levels: Results of a National Study

PubMed Central

Brink, LuAnn L.; Talbott, Evelyn O.; Sharma, Ravi K.; Marsh, Gary M.; Wu, Wen Chi; Rager, Judith R.; Strosnider, Heather M.

2013-01-01

Introduction. Although lead paint and leaded gasoline have not been used in the US for thirty years, thousands of US children continue to have blood lead levels (BLLs) of concern. Methods. We investigated the potential association of modeled air lead levels and BLLs ≥ 10 μg/dL using a large CDC database with BLLs on children aged 0–3 years. Percent of children with BLLs ≥ 10 μg/dL (2000–2007) by county and proportion of pre-50 housing and SES variables were merged with the US EPA's National Air Toxics Assessment (NATA) modeled air lead data. Results. The proportion with BLL ≥ 10 μg/dL was 1.24% in the highest air lead counties, and the proportion with BLL ≥ 10 μg/dL was 0.36% in the lowest air lead counties, resulting in a crude prevalence ratio of 3.4. Further analysis using multivariate negative binomial regression revealed that NATA lead was a significant predictor of % BLL ≥ 10 μg/dL after controlling for percent pre-l950 housing, percent rural, and percent black. A geospatial regression revealed that air lead, percent older housing, and poverty were all significant predictors of % BLL ≥ 10 μg/dL. Conclusions. More emphasis should be given to potential sources of ambient air lead near residential areas. PMID:23983719

Geology and water resources of Winnebago County, Wisconsin

USGS Publications Warehouse

Olcott, Perry C.

1966-01-01

Sources or water in Winnebago County include surface water from the Fox and Wolf Rivers and their associated lakes, and ground water from sandstone, dolomite, and sand and gravel deposits. Surface water is hard and generally requires treatment, but is then suitable for municipal and most industrial uses. Pollution is only a local problem in the lakes and rivers, but algae are present in most of the lakes. Ground water in Winnebago County is hard to very hard, and dissolved iron is a problem in a large area of the county. A saline-water zone borders the eastern edge of the county and underlies the areas of concentrated pumpage at Neenah-Menasha and Oshkosh. A thick, southeastward-dipping sandstone aquifer, yielding as much as 1,000 gallons per minute to municipal and industrial wells, underlies Winnebago County. A dolomite aquifer in the eastern and southern part of the county yields as much as 50 gallons per minute to wells. Sand and gravel layers and lenses in preglacial bedrock channels, in northwestern Winnebago County and in the upper Fox River valley, yield as much as 50 gallons per minute to wells. Present water problems in the county include algae and local pollution in the Lake Winnebago Pool, iron in water from the sandstone aquifer, and saline ground Water in the eastern part of the county. Potential problems include rapid decline of water levels because of interference between closely spaced wells, migration of saline ground water toward areas of pumping, surface-water pollution from inadequate sewage and industrial-waste process plants, and ground-water pollution in dolomite formations. Development of the water resources of the county should follow a comprehensive plan which takes into consideration all aspects of water use. Dispersal of wells, especially extending toward the west from the heavily pumped Neenah-Menasha and Oshkosh areas, is recommended to reduce water-level declines and to avoid saline water. Supplemental use of ground water is

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.

Environmental contaminants of emerging concern in seafood – European database on contaminant levels

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

Vandermeersch, Griet, E-mail: griet.vandermeersch@ilvo.vlaanderen.be; Lourenço, Helena Maria; Alvarez-Muñoz, Diana

Marine pollution gives rise to concern not only about the environment itself but also about the impact on food safety and consequently on public health. European authorities and consumers have therefore become increasingly worried about the transfer of contaminants from the marine environment to seafood. So-called “contaminants of emerging concern” are chemical substances for which no maximum levels have been laid down in EU legislation, or substances for which maximum levels have been provided but which require revision. Adequate information on their presence in seafood is often lacking and thus potential risks cannot be excluded. Assessment of food safety issuesmore » related to these contaminants has thus become urgent and imperative. A database ( (www.ecsafeseafooddbase.eu)), containing available information on the levels of contaminants of emerging concern in seafood and providing the most recent data to scientists and regulatory authorities, was developed. The present paper reviews a selection of contaminants of emerging concern in seafood including toxic elements, endocrine disruptors, brominated flame retardants, pharmaceuticals and personal care products, polycyclic aromatic hydrocarbons and derivatives, microplastics and marine toxins. Current status on the knowledge of human exposure, toxicity and legislation are briefly presented and the outcome from scientific publications reporting on the levels of these compounds in seafood is presented and discussed. - Highlights: • Development of a European database regarding contaminants of emerging concern. • Current status on knowledge of human exposure, toxicity and legislation. • Review on the occurrence of contaminants of emerging concern in seafood.« less

Scoping of flood hazard mapping needs for Kennebec County, Maine

USGS Publications Warehouse

Dudley, Robert W.; Schalk, Charles W.

2006-01-01

This report was prepared by the U.S. Geological Survey (USGS) Maine Water Science Center as the deliverable for scoping of flood hazard mapping needs for Kennebec County, Maine, under Federal Emergency Management Agency (FEMA) Inter-Agency Agreement Number HSFE01-05-X-0018. This section of the report explains the objective of the task and the purpose of the report. The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine State Planning Office Floodplain Management Program, began scoping work in 2005 for Kennebec County. Scoping activities included assembling existing data and map needs information for communities in Kennebec County (efforts were made to not duplicate those of pre-scoping completed in March 2005), documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) Database or its successor with information gathered during the scoping process. The average age of the FEMA floodplain maps in Kennebec County, Maine is 16 years. Most of these studies were in the late 1970's to the mid 1980s

Scoping of flood hazard mapping needs for Somerset County, Maine

USGS Publications Warehouse

Dudley, Robert W.; Schalk, Charles W.

2006-01-01

This report was prepared by the U.S. Geological Survey (USGS) Maine Water Science Center as the deliverable for scoping of flood hazard mapping needs for Somerset County, Maine, under Federal Emergency Management Agency (FEMA) Inter-Agency Agreement Number HSFE01-05-X-0018. This section of the report explains the objective of the task and the purpose of the report. The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine State Planning Office Floodplain Management Program, began scoping work in 2005 for Somerset County. Scoping activities included assembling existing data and map needs information for communities in Somerset County (efforts were made to not duplicate those of pre-scoping completed in March 2005), documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) Database or its successor with information gathered during the scoping process. The average age of the FEMA floodplain maps in Somerset County, Maine is 18.1 years. Most of these studies were in the late 1970's to the mid 1980

Scoping of flood hazard mapping needs for Cumberland County, Maine

USGS Publications Warehouse

Dudley, Robert W.; Schalk, Charles W.

2006-01-01

This report was prepared by the U.S. Geological Survey (USGS) Maine Water Science Center as the deliverable for scoping of flood hazard mapping needs for Cumberland County, Maine, under Federal Emergency Management Agency (FEMA) Inter-Agency Agreement Number HSFE01-05-X-0018. This section of the report explains the objective of the task and the purpose of the report. The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine State Planning Office Floodplain Management Program, began scoping work in 2005 for Cumberland County. Scoping activities included assembling existing data and map needs information for communities in Cumberland County, documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) Database or its successor with information gathered during the scoping process. The average age of the FEMA floodplain maps in Cumberland County, Maine is 21 years. Most of these studies were in the early to mid 1980s. However, in the ensuing 20-25 years, development has occurred in many of the

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

Correlation analysis of a ground-water level monitoring network, Miami-Dade County, Florida

USGS Publications Warehouse

Prinos, Scott T.

2005-01-01

The U.S. Geological Survey cooperative ground-water monitoring program in Miami-Dade County, Florida, expanded from 4 to 98 continuously recording water-level monitoring wells during the 1939-2001 period. Network design was based on area specific assessments; however, no countywide statistical assessments of network coverage had been performed for the purpose of assessing network redundancy. To aid in the assessment of network redundancy, correlation analyses were performed using S-PLUS 2000 statistical analysis software for daily maximum water-level data from 98 monitoring wells for the November 1, 1973, to October 31, 2000 period. Because of the complexities of the hydrologic, water-supply, and water-management systems in Miami-Dade County and the changes that have occurred to these systems through time, spatial and temporal variations in the degree of correlation had to be considered. To assess temporal variation in correlation, water-level data from each well were subdivided by year and by wet and dry seasons. For each well, year, and season, correlation analyses were performed on the data from those wells that had available data. For selected wells, the resulting correlation coefficients from each year and season were plotted with respect to time. To assess spatial variation in correlation, the coefficients determined from the correlation analysis were averaged. These average wet- and dry-season correlation coefficients were plotted spatially using geographic information system software. Wells with water-level data that correlated with a coefficient of 0.95 or greater were almost always located in relatively close proximity to each other. Five areas were identified where the water-level data from wells within the area remained correlated with that of other wells in the area during the wet and dry seasons. These areas are located in or near the C-1 and C-102 basins (2 wells), in or near the C-6 and C-7 basins (2 wells), near the Florida Keys Aqueduct Authority

Prediction of County-Level Corn Yields Using an Energy-Crop Growth Index.

NASA Astrophysics Data System (ADS)

Andresen, Jeffrey A.; Dale, Robert F.; Fletcher, Jerald J.; Preckel, Paul V.

1989-01-01

Weather conditions significantly affect corn yields. while weather remains as the major uncontrolled variable in crop production, an understanding of the influence of weather on yields can aid in early and accurate assessment of the impact of weather and climate on crop yields and allow for timely agricultural extension advisories to help reduce farm management costs and improve marketing, decisions. Based on data for four representative countries in Indiana from 1960 to 1984 (excluding 1970 because of the disastrous southern corn leaf blight), a model was developed to estimate corn (Zea mays L.) yields as a function of several composite soil-crop-weather variables and a technology-trend marker, applied nitrogen fertilizer (N). The model was tested by predicting corn yields for 15 other counties. A daily energy-crop growth (ECG) variable in which different weights were used for the three crop-weather variables which make up the daily ECG-solar radiation intercepted by the canopy, a temperature function, and the ratio of actual to potential evapotranspiration-performed better than when the ECG components were weighted equally. The summation of the weighted daily ECG over a relatively short period (36 days spanning silk) was found to provide the best index for predicting county average corn yield. Numerical estimation results indicate that the ratio of actual to potential evapotranspiration (ET/PET) is much more important than the other two ECG factors in estimating county average corn yield in Indiana.

Student Assessment Pilot Project: Maricopa County Community College District JCEP Project #JZ-309, 1985-86.

ERIC Educational Resources Information Center

Abbott, Judith A.

A summary is provided of the 1985-86 goals and accomplishments of Maricopa County Community College District's (MCCCD's) Student Assessment Pilot Project, which was conducted to develop a districtwide database of quantitative and qualitative information upon which decisions about policies, programs, and procedures related to assessment,…

The Projected Impacts to Clark County and Local Governmental Public Safety Agencies Resulting from the Transportation of High-Level Nuclear Waste to Yucca Mountain

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

Mushkatel, A.H.; Conway, S.; Navis, I.

2006-07-01

This paper focuses on the difficulties of projecting fiscal impacts to public safety agencies from the proposed high-level nuclear waste repository at Yucca Mountain, Nevada. The efforts made by Clark County Nevada, to develop a fiscal model of impacts for public safety agencies are described in this paper. Some of the difficulties in constructing a fiscal model of impacts for the entire 24 year high-level nuclear waste transportation shipping campaign are identified, and a refined methodology is provided to accomplish this task. Finally, a comparison of the fiscal impact projections for public safety agencies that Clark County developed in 2001,more » with those done in 2005 is discussed, and the fiscal impact cost projections for the entire 24 year transportation campaign are provided. (authors)« less

Area-level factors associated with electronic health record adoption and meaningful use in the Regional Extension Center Program.

PubMed

Samuel, Cleo A

2014-01-01

To identify area-level correlates of electronic health record (EHR) adoption and meaningful use (MU) among primary care providers (PCPs) enrolled in the Regional Extension Center (REC) Program. County-level data on 2013 EHR adoption and MU among REC-enrolled PCPs were obtained from the Office of the National Coordinator for Health Information Technology and linked with other county-level data sources including the Area Resource File, American Community Survey, and Federal Communications Commission's broadband availability database. Hierarchical models with random intercepts for RECs were employed to assess associations between a broad set of area-level factors and county-level rates of EHR adoption and MU. Among the 2715 counties examined, the average county-level EHR adoption and MU rates for REC-enrolled PCPs were 87.5% and 54.2%, respectively. Community health center presence and Medicaid enrollment concentration were positively associated with EHR adoption, while metropolitan status and Medicare Advantage enrollment concentration were positively associated with MU. Health professional shortage area status and minority concentration were negatively associated with EHR adoption and MU. Increased financial incentives in areas with greater concentrations of Medicaid and Medicare enrollees may be encouraging EHR adoption and MU among REC-enrolled PCPs. Disparities in EHR adoption and MU in some low-resource and underserved areas remain a concern. Federal efforts to spur EHR adoption and MU have demonstrated some early success; however, some geographic variations in EHR diffusion indicate that greater attention needs to be paid to ensuring equitable uptake and use of EHRs throughout the US. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

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.

Development of the Lymphoma Enterprise Architecture Database: a caBIG Silver level compliant system.

PubMed

Huang, Taoying; Shenoy, Pareen J; Sinha, Rajni; Graiser, Michael; Bumpers, Kevin W; Flowers, Christopher R

2009-04-03

Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies. We developed a cancer Biomedical Informatics Grid (caBIG) Silver level compliant lymphoma database, called the Lymphoma Enterprise Architecture Data-system (LEAD), which integrates the pathology, pharmacy, laboratory, cancer registry, clinical trials, and clinical data from institutional databases. We utilized the Cancer Common Ontological Representation Environment Software Development Kit (caCORE SDK) provided by National Cancer Institute's Center for Bioinformatics to establish the LEAD platform for data management. The caCORE SDK generated system utilizes an n-tier architecture with open Application Programming Interfaces, controlled vocabularies, and registered metadata to achieve semantic integration across multiple cancer databases. We demonstrated that the data elements and structures within LEAD could be used to manage clinical research data from phase 1 clinical trials, cohort studies, and registry data from the Surveillance Epidemiology and End Results database. This work provides a clear example of how semantic technologies from caBIG can be applied to support a wide range of clinical and research tasks, and integrate data from disparate systems into a single architecture. This illustrates the central importance of caBIG to the management of clinical and biological data.

Chester County ground-water atlas, Chester County, Pennsylvania

USGS Publications Warehouse

Ludlow, Russell A.; Loper, Connie A.

2004-01-01

gneiss rocks can indicate a potential for corrosive water. The only constituent measured in the field that has a USEPA Secondary Maximum Contaminant Level (SMCL) is pH. The SMCL for pH is 6.5-8.5; 64 percent of samples analyzed for pH were acidic (below pH 6.5). Only 1 percent of samples were basic (above pH 8.5).Of the common ions, the USEPA has SMCLs for chloride, sulfate, and total dissolved solids. The USEPA has a SMCL and a Primary Maximum Contaminant Level (PMCL) for fluoride. Chloride is more closely related to land use than geology. In Chester County, chloride exceeded the SMCL (250 mg/L) only in 5 percent of the services (commercial services, community services, and military) land-use areas. No samples analyzed for sulfate exceeded the SMCL (250 mg/L). Only 3 percent of samples analyzed for total dissolved solids exceeded the SMCL (500 milligrams per liter) (mg/L). No samples analyzed for fluoride equaled or exceeded the SMCL (2.0 mg/L) or PMCL (4.0 mg/L).Iron concentrations exceeded the USEPA SMCL in 11 percent of samples and were highest in schist (14 percent) and gneiss (13 percent). Manganese concentrations exceeded the SMCL in 19 percent of samples and were highest in quartzite and schist (both 28 percent). Lead and arsenic were present in low concentrations: the highest concentrations of lead occurred in water from quartzite (8 percent exceeded the USEPA Action Level), and arsenic was detected mostly in Triassic sedimentary rocks (9 percent exceeded the USEPA PMCL). The highest concentrations of copper occurred more frequently in quartzite rocks, and to a lesser extent were evenly distributed between ground water in gneiss, schist, and Triassic sedimentary rocks.Elevated concentrations of radon-222 and the combined radium-226/radium-228 radionuclides were common in water from quartzite and schist. Gross alpha and gross beta particle activities were elevated in water from quartzite and carbonate rocks. In contrast, elevated concentrations of uranium

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 [county-level factors explained the majority of variation in resident well-being.

Geologic map and map database of western Sonoma, northernmost Marin, and southernmost Mendocino counties, California

USGS Publications Warehouse

Blake, M.C.; Graymer, R.W.; Stamski, R.E.

2002-01-01

This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (wsomf.ps, wsomf.pdf, wsomf.txt), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:62,500 or smaller.

Spatial configuration and distribution of forest patches in Champaign County, Illinois: 1940 to 1993

Treesearch

J. Danilo Chinea

1997-01-01

Spatial configuration and distribution of landscape elements have implications for the dynamics of forest ecosystems, and, therefore, for the management of these resources. The forest cover of Champaign County, in east-central Illinois, was mapped from 1940 and 1993 aerial photography and entered in a geographical information system database. In 1940, 208 forest...

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

Development of a personalized training system using the Lung Image Database Consortium and Image Database resource Initiative Database.

PubMed

Lin, Hongli; Wang, Weisheng; Luo, Jiawei; Yang, Xuedong

2014-12-01

The aim of this study was to develop a personalized training system using the Lung Image Database Consortium (LIDC) and Image Database resource Initiative (IDRI) Database, because collecting, annotating, and marking a large number of appropriate computed tomography (CT) scans, and providing the capability of dynamically selecting suitable training cases based on the performance levels of trainees and the characteristics of cases are critical for developing a efficient training system. A novel approach is proposed to develop a personalized radiology training system for the interpretation of lung nodules in CT scans using the Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI) database, which provides a Content-Boosted Collaborative Filtering (CBCF) algorithm for predicting the difficulty level of each case of each trainee when selecting suitable cases to meet individual needs, and a diagnostic simulation tool to enable trainees to analyze and diagnose lung nodules with the help of an image processing tool and a nodule retrieval tool. Preliminary evaluation of the system shows that developing a personalized training system for interpretation of lung nodules is needed and useful to enhance the professional skills of trainees. The approach of developing personalized training systems using the LIDC/IDRL database is a feasible solution to the challenges of constructing specific training program in terms of cost and training efficiency. Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Environmental Assessment: Johnson County Road F-20 Bypass, Johnson County, Iowa.

DTIC Science & Technology

1986-08-01

D-A184 328 ENVIRONMENTAL ASSESSMENT- JOHNSON COUNTY ROAD F-20 vil BYPASS JOHNSON COUNTY’ IOWA (U) ARMY ENGINEER DISTRICT ROCK ISLAND IL AUG 86...BYPASS JOHNSON COUNTY, IOWA DTIC SELECTEI AUG 24 198D AUGUST 1986 -’"Thn; c>, .. i ’, been p ore i Icr publj rJlxaje aid sale; ii ,,. I distibu on is...2004 19 EPLY TO ATTENTION OP NCRPD-E ENVIRONMENTAL ASSE SSMENT JOHNSON COUNTY ROAD F-20 BYPASS JOHNSON COUNTY, IOWA Acce3siofl For NTIS MR& QUA~rTY

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…

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.

High-Risk Prescribing to Medicaid Enrollees Receiving Opioid Analgesics: Individual- and County-Level Factors.

PubMed

Heins, Sara E; Sorbero, Mark J; Jones, Christopher M; Dick, Andrew W; Stein, Bradley D

2018-01-05

Prescription opioid overdoses have increased dramatically in recent years, with the highest rates among Medicaid enrollees. High-risk prescribing includes practices associated with overdoses and a range of additional opioid-related problems. To identify individual- and county-level factors associated with high-risk prescribing among Medicaid enrollees receiving opioids. In a four-states, cross-sectional claims data study, Medicaid enrollees 18-64 years old with a new opioid analgesic treatment episode 2007-2009 were identified. Multivariate regression analyses were conducted to identify factors associated with high-risk prescribing, defined as high-dose opioid prescribing (morphine equivalent daily dose ≥100 mg for >6 days), opioid overlap, opioid-benzodiazepine overlap. High-risk prescribing occurred in 39.4% of episodes. Older age, rural county of residence, white race, and major depression diagnosis were associated with higher rates of all types of high-risk prescribing. Individuals with prior opioid, alcohol, and hypnotic/sedative use disorder diagnoses had lower odds of high-dose opioid prescribing but higher odds of opioid overlap and opioid-benzodiazepine overlap than individuals without such disorders. High-dose opioid prescribing in Massachusetts was less common than in California, Illinois, and New York, whereas the rate of benzodiazepine overlap in Massachusetts was more common than in other states. Conclusions/Importance: High-risk prescribing was common and associated with several important demographic, clinical, and community factors. Findings can be used to inform targeted interventions designed to reduce such prescribing, and given state variation observed, further research is needed to better understand the effects of state policies on high-risk prescribing.

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 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

DataBase on Demand

NASA Astrophysics Data System (ADS)

Gaspar Aparicio, R.; Gomez, D.; Coterillo Coz, I.; Wojcik, D.

2012-12-01

At CERN a number of key database applications are running on user-managed MySQL database services. The database on demand project was born out of an idea to provide the CERN user community with an environment to develop and run database services outside of the actual centralised Oracle based database services. The Database on Demand (DBoD) empowers the user to perform certain actions that had been traditionally done by database administrators, DBA's, providing an enterprise platform for database applications. It also allows the CERN user community to run different database engines, e.g. presently open community version of MySQL and single instance Oracle database server. This article describes a technology approach to face this challenge, a service level agreement, the SLA that the project provides, and an evolution of possible scenarios.

Ground-water levels in aquifers used for residential supply, Campton Township, Kane County, Illinois

USGS Publications Warehouse

Kay, Robert T.; Kraske, Kurt A.

1996-01-01

The U.S. Geological Survey, in cooperation with the Campton Township Board of Trustees, measured water levels in the aquifers used for residential supply in Campton Township, Kane County, Illinois. Aquifers used for residential supply are the shallow and deep aquifers in the glacial drift, composed of unconsolidated sand and gravels; the Alexandrian-Maquoketa aquifer, composed of dolomite and shale of the Alexandrian Series and the Maquoketa Group; the Galena-Platteville aquifer, composed of dolomite of the Platteville and Galena Groups; and the Ancell aquifer, composed of sandstones of the Glenwood Formation and the St. Peter Sanstone. Water-level altitudes in the shallow drift aquifers generally follow surface topography. Analysis of water-level data does not clearly indicate overutilization of these aquifers. Water-level altitudes in the deep drift aquifers decrease from west to east. Comparison of historical depth to water measurements with current (1995) measurements indicates large decreases in water levels in some areas. The deep drift aquifers may be overutilized at these locations. Water-level altitudes in the Alexandrian-Maquoketa aquifer generally decrease from west to east. The potentiometric surface of the aquifer follows the bedrock-surface topography in some locations. Localized low water-level altitudes and large decreases in water levels indicate the Alexandrian-Maquoketa aquifer is overutilized in several areas. Water-level altitudes in the wells finished in the Galena- Platteville aquifer vary by more than 300 feet. Large decreases in water levels in wells finished in the Galena-Platteville aquifer indicate the Galena-Platteville and Alexandrian-Maquoketa aquifers are overutilized in the northern part of the township. Water-level altitudes in the wells finished in the Ancell aquifer are also highly variable. There is no indication that the Ancell aquifer is overutilized.

Aspects regarding the hygienic-sanitary conditions at the level of certain dental medicine cabinets in Iasi County.

PubMed

Cernei, E R; Maxim, Dana Cristiana; Indrei, L L

2013-01-01

This baseline study aims to find out the evaluation of hygienic-sanitary conditions at the level of dental medicine cabinets through the verification of certain hygienic aspects. The study conducted consists in monitoring the hygienic/sanitary conditions at the level of 68 dental medicine cabinets (40 private cabinets and 28 school/university dental cabinets in Iasi county), using sheets for the assessment of the hygienic/sanitary conditions adapted from the control sheets of existing dental medicine cabinets at the level of DSP (Public Health Department) Iasi. The sheets for the assessment of the hygienic/sanitary conditions were evaluated by a specialized team and the results were i llustrated in the specific charts. At the level of all the dental cabinets the study revealed nonconformities regarding the means to carry out cleaning, disinfection operations, including the management of perilous waste, the control of medical personnel. An optimization of the hygienic-sanitary conditions at the level of dental medicine cabinets is still necessary, through participation to the activity of personnel training, who is directly involved in dental medical assistance.

Assessment and application of national environmental databases and mapping tools at the local level to two community case studies.

PubMed

Hammond, Davyda; Conlon, Kathryn; Barzyk, Timothy; Chahine, Teresa; Zartarian, Valerie; Schultz, Brad

2011-03-01

Communities are concerned over pollution levels and seek methods to systematically identify and prioritize the environmental stressors in their communities. Geographic information system (GIS) maps of environmental information can be useful tools for communities in their assessment of environmental-pollution-related risks. Databases and mapping tools that supply community-level estimates of ambient concentrations of hazardous pollutants, risk, and potential health impacts can provide relevant information for communities to understand, identify, and prioritize potential exposures and risk from multiple sources. An assessment of existing databases and mapping tools was conducted as part of this study to explore the utility of publicly available databases, and three of these databases were selected for use in a community-level GIS mapping application. Queried data from the U.S. EPA's National-Scale Air Toxics Assessment, Air Quality System, and National Emissions Inventory were mapped at the appropriate spatial and temporal resolutions for identifying risks of exposure to air pollutants in two communities. The maps combine monitored and model-simulated pollutant and health risk estimates, along with local survey results, to assist communities with the identification of potential exposure sources and pollution hot spots. Findings from this case study analysis will provide information to advance the development of new tools to assist communities with environmental risk assessments and hazard prioritization. © 2010 Society for Risk Analysis.

Determinants of FDI Localization in China: A County-Level Analysis for the Pharmaceutical Industry

PubMed Central

Li, Su; Angelino, Antonio; Yin, Haitao

2017-01-01

Foreign direct investments (FDIs) have been widely recognized as a crucial feature of the Chinese industrial development process. Over the past decades, China has been attracting huge amounts of inward FDIs as a consequence of both spontaneous market dynamics and place-based preferential policies at the sub-national level. However, the Chinese market exhibits large dissimilarities in terms of FDI localization across territories that are worth investigating at a more disaggregated level. In this regards, our study explores the determinants of attraction of inward FDIs in China, at the county level. It focuses on the pharmaceutical industry and attempts to assess whether factors related to location advantages, agglomeration dynamics, information cost effects and environmental regulation costs affect foreign firms’ localization choices as well as invested amounts in that location. By means of discrete choice models, our paper confirms the findings of the prevalent literature about the positive effects of location advantages on pharmaceutical FDI attraction. Different from our expectations, a higher proportion of foreign enterprises do not stimulate significant effects on FDI localization, while preferential policies and sectoral agglomeration are positively correlated with the localization of pharmaceutical foreign firms. Finally, our results suggest that investing firms tend to avoid areas with strict environment regulation. PMID:28867815

Determinants of FDI Localization in China: A County-Level Analysis for the Pharmaceutical Industry.

PubMed

Li, Su; Angelino, Antonio; Yin, Haitao; Spigarelli, Francesca

2017-08-30

Foreign direct investments (FDIs) have been widely recognized as a crucial feature of the Chinese industrial development process. Over the past decades, China has been attracting huge amounts of inward FDIs as a consequence of both spontaneous market dynamics and place-based preferential policies at the sub-national level. However, the Chinese market exhibits large dissimilarities in terms of FDI localization across territories that are worth investigating at a more disaggregated level. In this regards, our study explores the determinants of attraction of inward FDIs in China, at the county level. It focuses on the pharmaceutical industry and attempts to assess whether factors related to location advantages, agglomeration dynamics, information cost effects and environmental regulation costs affect foreign firms' localization choices as well as invested amounts in that location. By means of discrete choice models, our paper confirms the findings of the prevalent literature about the positive effects of location advantages on pharmaceutical FDI attraction. Different from our expectations, a higher proportion of foreign enterprises do not stimulate significant effects on FDI localization, while preferential policies and sectoral agglomeration are positively correlated with the localization of pharmaceutical foreign firms. Finally, our results suggest that investing firms tend to avoid areas with strict environment regulation.

Bathymetry of Lake William C. Bowen and Municipal Reservoir #1, Spartanburg County, South Carolina, 2008

USGS Publications Warehouse

Nagle, D.D.; Campbell, B.G.; Lowery, M.A.

2009-01-01

The increasing use and importance of lakes for water supply to communities enhance the need for an accurate methodology to determine lake bathymetry and storage capacity. A global positioning receiver and a fathometer were used to collect position data and water depth in February 2008 at Lake William C. Bowen and Municipal Reservoir #1, Spartanburg County, South Carolina. All collected data were imported into a geographic information system database. A bathymetric surface model, contour map, and stage-area and -volume relations were created from the geographic information database.

Consideration of driver home county prohibition and alcohol-related vehicle crashes.

PubMed

Schulte Gary, Sarah Lynn; Aultman-Hall, Lisa; McCourt, Matt; Stamatiadis, Nick

2003-09-01

This study examines the characteristics of alcohol-related crashes in wet versus dry counties in the state of Kentucky, USA and incorporates the location of driver residences through use of geographic information system (GIS) analysis. Between 1991 and 1997, 39344 alcohol-related crashes by Kentucky residents on Kentucky State roads were reported. The location of the crash and the home ZIP code from the driver's address were used to consider distance from home in the GIS. Analysis of the crash data revealed that a similar proportion of crashes in wet and dry counties are alcohol-related but that a higher proportion of dry counties residents are involved in an alcohol-related crash. However, when the distance from home variable is considered, several results suggest that dry county residents may be driving further when consuming alcohol. In part due to the rural nature of dry counties, drivers from dry counties have both alcohol-related and non-alcohol related crashes farther from their homes than residents from wet counties. Alcohol-related crashes by dry county residents in wet counties are the greatest average distance from home while crashes by wet county residents in wet counties are the smallest average distance. Drivers from dry counties over 21 years of age have alcohol-related crashes significantly farther from home than those under 21 who would not legally be admitted to drinking establishments in the wet counties. Furthermore, residents from dry counties that do not border wet counties have alcohol-related crashes on average farther from home than the border county residents. These last three results provide circumstantial evidence that some dry county drivers may be driving to wet counties to consume alcohol thus increasing impaired driving exposure. In conclusion, by considering crash location and driver residence, these findings indicate that county-level prohibition is not necessarily effective in improving highway safety.

Hydrogeologic framework of LaSalle County, Illinois

USGS Publications Warehouse

Kay, Robert T.; Bailey, Clinton R.

2016-10-28

residential supply in at least some parts of the county, and sandstone deposits in the Ancell and Prairie du Chien Groups can yield sufficient water for residential or public supply in much of the county.The Cambrian-Ordovician aquifer system comprises the most widespread, productive aquifers in northern Illinois and is used for water supply by a number of municipalities in the county. Water levels in the aquifer system have declined by as much as 300 feet in parts of LaSalle County. The aquifer contains naturally occurring concentrations of radium that are higher than established health guidelines in much of the county.

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.

Patterns of aquatic species imperilment in the Southern Appalachians: an evaluation of regional databases

Treesearch

Patricia A. Flebbe; James A. Herrig

2000-01-01

For regional analyses of species imperilment patterns, data on species distributions are available from the U.S. Fish and Wildlife Service and from the State heritage programs. The authors compared these two different databases as sources of best available information for regional analyses of patterns of aquatic species imperilment for 132 counties in the Southern...

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

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

Development of a Comprehensive Database System for Safety Analyst

PubMed Central

Paz, Alexander; Veeramisti, Naveen; Khanal, Indira; Baker, Justin

2015-01-01

This study addressed barriers associated with the use of Safety Analyst, a state-of-the-art tool that has been developed to assist during the entire Traffic Safety Management process but that is not widely used due to a number of challenges as described in this paper. As part of this study, a comprehensive database system and tools to provide data to multiple traffic safety applications, with a focus on Safety Analyst, were developed. A number of data management tools were developed to extract, collect, transform, integrate, and load the data. The system includes consistency-checking capabilities to ensure the adequate insertion and update of data into the database. This system focused on data from roadways, ramps, intersections, and traffic characteristics for Safety Analyst. To test the proposed system and tools, data from Clark County, which is the largest county in Nevada and includes the cities of Las Vegas, Henderson, Boulder City, and North Las Vegas, was used. The database and Safety Analyst together help identify the sites with the potential for safety improvements. Specifically, this study examined the results from two case studies. The first case study, which identified sites having a potential for safety improvements with respect to fatal and all injury crashes, included all roadway elements and used default and calibrated Safety Performance Functions (SPFs). The second case study identified sites having a potential for safety improvements with respect to fatal and all injury crashes, specifically regarding intersections; it used default and calibrated SPFs as well. Conclusions were developed for the calibration of safety performance functions and the classification of site subtypes. Guidelines were provided about the selection of a particular network screening type or performance measure for network screening. PMID:26167531

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.

Environmental Predictors of US County Mortality Patterns on a National Basis.

PubMed

Chan, Melissa P L; Weinhold, Robert S; Thomas, Reuben; Gohlke, Julia M; Portier, Christopher J

2015-01-01

A growing body of evidence has found that mortality rates are positively correlated with social inequalities, air pollution, elevated ambient temperature, availability of medical care and other factors. This study develops a model to predict the mortality rates for different diseases by county across the US. The model is applied to predict changes in mortality caused by changing environmental factors. A total of 3,110 counties in the US, excluding Alaska and Hawaii, were studied. A subset of 519 counties from the 3,110 counties was chosen by using systematic random sampling and these samples were used to validate the model. Step-wise and linear regression analyses were used to estimate the ability of environmental pollutants, socio-economic factors and other factors to explain variations in county-specific mortality rates for cardiovascular diseases, cancers, chronic obstructive pulmonary disease (COPD), all causes combined and lifespan across five population density groups. The estimated models fit adequately for all mortality outcomes for all population density groups and, adequately predicted risks for the 519 validation counties. This study suggests that, at local county levels, average ozone (0.07 ppm) is the most important environmental predictor of mortality. The analysis also illustrates the complex inter-relationships of multiple factors that influence mortality and lifespan, and suggests the need for a better understanding of the pathways through which these factors, mortality, and lifespan are related at the community level.

Environmental Predictors of US County Mortality Patterns on a National Basis

PubMed Central

Thomas, Reuben; Gohlke, Julia M.; Portier, Christopher J.

2015-01-01

A growing body of evidence has found that mortality rates are positively correlated with social inequalities, air pollution, elevated ambient temperature, availability of medical care and other factors. This study develops a model to predict the mortality rates for different diseases by county across the US. The model is applied to predict changes in mortality caused by changing environmental factors. A total of 3,110 counties in the US, excluding Alaska and Hawaii, were studied. A subset of 519 counties from the 3,110 counties was chosen by using systematic random sampling and these samples were used to validate the model. Step-wise and linear regression analyses were used to estimate the ability of environmental pollutants, socio-economic factors and other factors to explain variations in county-specific mortality rates for cardiovascular diseases, cancers, chronic obstructive pulmonary disease (COPD), all causes combined and lifespan across five population density groups. The estimated models fit adequately for all mortality outcomes for all population density groups and, adequately predicted risks for the 519 validation counties. This study suggests that, at local county levels, average ozone (0.07 ppm) is the most important environmental predictor of mortality. The analysis also illustrates the complex inter-relationships of multiple factors that influence mortality and lifespan, and suggests the need for a better understanding of the pathways through which these factors, mortality, and lifespan are related at the community level. PMID:26629706

Groundwater environmental tracer data collected from the Chicot, Evangeline, and Jasper aquifers in Montgomery County and adjacent counties, Texas, 2008

USGS Publications Warehouse

Oden, Timothy D.

2011-01-01

The Gulf Coast aquifer system is the primary water supply for Montgomery County in southeastern Texas, including part of the Houston metropolitan area and the cities of Magnolia, Conroe, and The Woodlands Township, Texas. The U.S. Geological Survey, in cooperation with the Lone Star Groundwater Conservation District, collected environmental tracer data in the Gulf Coast aquifer system, primarily in Montgomery County. Forty existing groundwater wells screened in the Gulf Coast aquifer system were selected for sampling in Montgomery County (38 wells), Waller County (1 well), and Walker County (1 well). Groundwater-quality samples, physicochemical properties, and water-level data were collected once from each of the 40 wells during March-September 2008. Groundwater-quality samples were analyzed for dissolved gases and the environmental tracers sulfur hexafluoride, chlorofluorocarbons, tritium, helium-4, and helium-3/tritium. Water samples were collected and processed onsite using methods designed to minimize changes to the water-sample chemistry or contamination from the atmosphere. Replicate samples for quality assurance and quality control were collected with each environmental sample. Well-construction information and environmental tracer data for March-September 2008 are presented.

Rainfall and water-level data for a wetland area near Millington, Shelby County, Tennessee, October 1995 through September 1996

USGS Publications Warehouse

Knight, R.R.

1997-01-01

Rainfall amounts and water levels were collected at a wetland area near Millington, Shelby County, Tennessee, to assist the Tennessee Department of Transportation with a program of wetland restoration. The site is located along a channelized reach of Big Creek Drainage Canal, east of State Route 240, and near the southern boundary of Naval Support Activity Memphis. Rainfall amounts and water levels for the site were recorded from October 1, 1995 to September 30, 1996. Total rainfall for this period was 47.58 inches. In general, water levels at the wetland were above or near the ground surface during the 6-month period from the first of January through the end of June 1996. For the remainder of the year, water levels generally subsided to several feet below land surface. However, some locations within the wetland were wet or highly saturated year round.

Development of the Lymphoma Enterprise Architecture Database: A caBIG(tm) Silver level compliant System

PubMed Central

Huang, Taoying; Shenoy, Pareen J.; Sinha, Rajni; Graiser, Michael; Bumpers, Kevin W.; Flowers, Christopher R.

2009-01-01

Lymphomas are the fifth most common cancer in United States with numerous histological subtypes. Integrating existing clinical information on lymphoma patients provides a platform for understanding biological variability in presentation and treatment response and aids development of novel therapies. We developed a cancer Biomedical Informatics Grid™ (caBIG™) Silver level compliant lymphoma database, called the Lymphoma Enterprise Architecture Data-system™ (LEAD™), which integrates the pathology, pharmacy, laboratory, cancer registry, clinical trials, and clinical data from institutional databases. We utilized the Cancer Common Ontological Representation Environment Software Development Kit (caCORE SDK) provided by National Cancer Institute’s Center for Bioinformatics to establish the LEAD™ platform for data management. The caCORE SDK generated system utilizes an n-tier architecture with open Application Programming Interfaces, controlled vocabularies, and registered metadata to achieve semantic integration across multiple cancer databases. We demonstrated that the data elements and structures within LEAD™ could be used to manage clinical research data from phase 1 clinical trials, cohort studies, and registry data from the Surveillance Epidemiology and End Results database. This work provides a clear example of how semantic technologies from caBIG™ can be applied to support a wide range of clinical and research tasks, and integrate data from disparate systems into a single architecture. This illustrates the central importance of caBIG™ to the management of clinical and biological data. PMID:19492074

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

The determinants of county growth.

PubMed

Carlino, G A; Mills, E S

1987-02-01

The determinants of population and employment growth were explored from a broader interregional (as opposed to intraregional) perspective. Data for the 1970s, at the county level of disaggregation, were used to analyze the effects of economic, demographic, and climatic variables on population and employment growth in a simultaneous equation framework. The use of data from the more than 3000 US counties provides a considerably larger testing ground than those used in previous research. The point of departure was a conventional, general equilibrium model in which both households and producers are geographically mobile. The study's dependent variables refer to population, total, and manufacturing employment densities. Family income had a powerful effect in stimulating both population and employment density. A 10% increase in family income led to a 7.9% increase in total and a 9.2% increase in manufacturing employment densities. High family income must stand for high demand, and thus, firms are drawn to an area. High family income also drew households to an area. A 10% increase in family income led to a 5.5% increase in population density. High family income must represent "good" neighborhoods for households. High family income was positively correlated with population and employment density, but in other recent studies either a negative and significant relationship or an insignificant relationship were reported. Local taxes consist of the receipts of county government and those of municipalities, townships, school districts, and special districts within the county. The elasticities reported in Table 4 suggest that a 10% increase in such taxes resulted in about a 0.072% reduction in county population density during the decade. The Industrial Revenue Bonds (IRBs) and the percent of the labor force that is unionized are 2 potential policy instruments at the state level. The study results suggest that IRBs have not stimulated either manufacturing or total employment, and

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

Hydrogeology of Webb County, Texas

USGS Publications Warehouse

Lambert, Rebecca B.

2004-01-01

IntroductionWebb County, in semiarid South Texas on the U.S.-Mexico border, is a region confronted by increasing stresses on natural resources. Laredo (fig. 1), the largest city in Webb County (population 193,000 in 2000), was one of the 10 fastest-growing metropolitan areas in the country during 1990-2000 (Perry and Mackun, 2001). Commercial and industrial activities have expanded throughout the region to support the maquiladora industry (manufacturing plants in Mexico) along the border and other growth as a result of the passage of the North American Free Trade Agreement. The Rio Grande currently (2002) is the primary source of public water supply for Laredo and other cities along the border in Webb County (fig. 1). Other cities, such as Bruni and Mirando City in the southeastern part of the county, rely on ground-water supplies to meet municipal demands. Increased water demand associated with development and population growth in the region has increased the need for the City of Laredo and Webb County to evaluate alternative water sources to meet future demand. Possible options include (1) supplementing the surface-water supply with ground water, and (2) applying artificial storage and recovery (ASR) technology to recharge local aquifers. These options raise issues regarding the hydraulic capability of the aquifers to store economically substantial quantities of water, current or potential uses of the resource, and possible effects on the quality of water resulting from mixing ground water with alternative source waters. To address some of these issues, the U.S. Geological Survey (USGS), in cooperation with the City of Laredo, began a study in 1996 to assess the ground-water resources of Webb County. A hydrogeologic study was conducted to review and analyze available information on the hydrogeologic units (aquifers and confining units) in Webb County, to locate available wells in the region with water-level and water-quality information from the aquifers, and to

Geology and hydrology of the Onondaga aquifer in eastern Erie County, New York; with emphasis on ground-water-level declines since 1982

USGS Publications Warehouse

Staubitz, W.W.; Miller, Todd S.

1987-01-01

The Onondaga aquifer is a nearly flat-lying, 25- to 110-foot-thick, cherty limestone with moderately developed karst features such as sinkholes, disappearing streams, and solution-widened joints. Most groundwater moves through solution-widened bedding planes, although some moves through vertical joints. The yield of water from 42 wells ranges from 3 to 100 gal/min, averaging 20 gal/min. Groundwater levels in the Onondaga aquifer declined during the fall of 1981 and summer and fall of 1982-85, near a 2.2-mile-long and 800-foot-wide land surface depression in the eastern part of Erie County. More than 60 wells and several wetlands went dry and at least three sinkholes developed. Groundwater levels were measured in 150 wells during a high water level period in April 1984 and a low water period in October 1984. Water levels fluctuated 20 to 50 ft near the depression and near the quarries but fluctuated only 5 to 10 ft elsewhere. The water level decline was caused by the combined effect of groundwater removal by pumpage from a quarry (the water is then discharged to Dorsch Creek) and by the swallets in the 2.2-mile-long depression area, which are recharge points for the aquifer. In 1982, sinkholes formed in a surface depression area in Harris Hill. The enlargement of these sinkholes seems to be unrelated to the water level decline in the eastern part of the county and is probably caused by local drainage alterations. (Author 's abstract)

LANDSAT land cover analysis completed for CIRSS/San Bernardino County project

NASA Technical Reports Server (NTRS)

Likens, W.; Maw, K.; Sinnott, D. (Principal Investigator)

1982-01-01

The LANDSAT analysis carried out as part of Ames Research Center's San Bernardino County Project, one of four projects sponsored by NASA as part of the California Integrated Remote Sensing System (CIRSS) effort for generating and utilizing digital geographic data bases, is described. Topics explored include use of data-base modeling with spectral cluster data to improve LANDSAT data classification, and quantitative evaluation of several change techniques. Both 1976 and 1979 LANDSAT data were used in the project.

Geology and ground-water resources of Duval County, Texas

USGS Publications Warehouse

Sayre, Albert Nelson

1937-01-01

Duval County is situated in southern Texas, 100 to 150 miles south of San Antonio and about midway between Corpus Christi, on the Gulf of Mexico, and Laredo, on the Rio Grande. The county lies on the Coastal Plain, which for the most part is low and relatively featureless. Between the Nueces River and the Rio Grande in this part of Texas the plain is interrupted by an erosion remnant, the Reynosa Plateau, which reaches a maximum altitude of nearly 1,000 feet above sea level and stands well above the areas to the east and west. The Reynosa Plateau includes most of Duval County and parts of Webb, Zapata, Starr, Jim Hogg, Jim Wells, McMullen, and Live Oak Counties. In Duval County the plateau is bounded on the west by the westward-facing Bordas escarpment, 75 to 150 feet high, which crosses the county with a southwesterly trend from about the middle of the north boundary to about the middle of the west boundary. On the east the plateau is bounded by a low seaward-facing escarpment, which passes through San Diego, trending a little west of south.

Fish consumption and hair mercury levels in women of childbearing age, Martin County, Florida.

PubMed

Nair, Anil; Jordan, Melissa; Watkins, Sharon; Washam, Robert; DuClos, Chris; Jones, Serena; Palcic, Jason; Pawlowicz, Marek; Blackmore, Carina

2014-12-01

The health effects of mercury in humans are mostly on the developing nervous system. Pregnant women and women who are breastfeeding must be targeted in order to decrease mercury exposure to the populations at highest risk-infants, unborn fetuses, and young children. This purpose of this study is to understand the demographics of fish-consumption patterns among women of childbearing age (including pregnant women) in Martin County, Florida, and to analyze the associations of mercury levels in participants' hair with socio-demographic variables in order to better design prevention messages and campaigns. Mercury concentrations in hair samples of 408 women ages 18-49 were assessed. Data on demographic factors, pregnancy status, fish consumption, and awareness of fish advisories were collected during personal interviews. Data were analyzed using descriptive statistics and multivariate logistic regression. The geometric and arithmetic means of hair mercury concentration were 0.371 and 0.676 µg/g of hair. One-fourth of the respondents had a concentration ≥1 µg/g of hair. Consuming a higher number of fish meals per month, consumption of commercially purchased or locally caught fish higher in mercury, White race and income ≥$75,000 were positively associated with the likelihood of having higher hair mercury levels. This study confirms the existence of a higher overall mean hair mercury level and a higher percentage of women with ≥1 µg/g hair mercury level than those reported at the national level and in other regional studies. This suggests the need for region-specific fish consumption advisories to minimize mercury exposure in humans.

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.

Financing Adult Education: How Adequate Are Current Sources in Facilitating Access and Participation in Centres in Murang'a South Sub-County, Murang'a County, Kenya?

ERIC Educational Resources Information Center

Maina, Ndonga James; Orodho, John Aluko

2016-01-01

The thrust of this study was to examine the level of adequacy of current sources in facilitating access and participation in adult education centres in Murang'a South Sub-County, Murang'a County, Kenya. The study adopted the descriptive survey design. Combinations of purposive and stratified random sampling techniques were used to select 82…

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.

Scoping of Flood Hazard Mapping Needs for Androscoggin County, Maine

USGS Publications Warehouse

Schalk, Charles W.; Dudley, Robert W.

2007-01-01

Background The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed and as funds allow. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine Floodplain Management Program (MFMP) State Planning Office, began scoping work in 2006 for Androscoggin County. Scoping activities included assembling existing data and map needs information for communities in Androscoggin County, documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) Database with information gathered during the scoping process. The average age of the FEMA floodplain maps in Androscoggin County, Maine, is at least 17 years. Most studies were published in the early 1990s, and some towns have partial maps that are more recent than their study date. Since the studies were done, development has occurred in many of the watersheds and the characteristics of the watersheds have changed with time. Therefore, many of the older studies may not depict current conditions nor accurately estimate risk in terms of flood heights or flood mapping.

Scoping of Flood Hazard Mapping Needs for Lincoln County, Maine

USGS Publications Warehouse

Schalk, Charles W.; Dudley, Robert W.

2007-01-01

Background The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine Floodplain Management Program (MFMP) State Planning Office, began scoping work in 2006 for Lincoln County. Scoping activities included assembling existing data and map needs information for communities in Lincoln County, documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) database with information gathered during the scoping process. The average age of the FEMA floodplain maps in Lincoln County, Maine is at least 17 years. Many of these studies were published in the mid- to late-1980s, and some towns have partial maps that are more recent than their study. However, in the ensuing 15-20 years, development has occurred in many of the watersheds, and the characteristics of the watersheds have changed with time. Therefore, many of the older studies may not depict current conditions nor accurately estimate risk in terms of flood heights or flood mapping.

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...

Comparison of Hydrologic Data from Monroe County, Michigan, 1991-2001

USGS Publications Warehouse

Nicholas, J.R.; Blumer, Stephen P.; McGowan, Rose M.

2001-01-01

In the summer of 2001, there were renewed concerns about the effects of quarry dewatering on nearby domestic ground-water supplies in Monroe County, Michigan. Reports of domestic wells “going dry” are not uncommon historically in Monroe County. Such reports have been linked to droughts, nearby irrigation, quarrying, and other large ground-water uses since as early as 1900 (Sherzer, 1900). Concerns about ground-water availability during the short, but extreme, drought of 1988 prompted the County and the State of Michigan to cooperate with the USGS (U.S. Geological Survey) on a county water resources assessment during the early 1990s (Nicholas and others, 1996). Aquifers in Monroe County generally yield sufficient water for domestic supplies. High transmissivities and low storage in fractured carbonate aquifers and poor water quality at depth (Nicholas and others, 1996), however, make domestic supplies very susceptible to the effects of drought and large withdrawals. Therefore, there are legitimate concerns about sustainable groundwater supplies in the County. Additionally, significant increases in ground-water uses in Monroe County during the past decade coincide with very dry years during the late 1990s. Although ground-water-level data were collected by Monroe County during the last decade, there are not comparable data sets available for many water uses. Therefore, determining whether concerns about domestic wells going dry can be linked to ground-water withdrawals or climate is problematic. In response to recent concerns, the USGS and MDEQ (Michigan Department of Environmental Quality) entered into a cooperative agreement in October 2001 to conduct a study regarding the availability of ground water in Monroe County. The major goal of this study is to determine how widespread are the impacts of quarry dewatering operations. This report summarizes the initial phase of the study which consists of a comparison of hydrologic data from 1991 to 2001. The 1991 data

Urate levels predict survival in amyotrophic lateral sclerosis: Analysis of the expanded Pooled Resource Open-Access ALS clinical trials database.

PubMed

Paganoni, Sabrina; Nicholson, Katharine; Chan, James; Shui, Amy; Schoenfeld, David; Sherman, Alexander; Berry, James; Cudkowicz, Merit; Atassi, Nazem

2018-03-01

Urate has been identified as a predictor of amyotrophic lateral sclerosis (ALS) survival in some but not all studies. Here we leverage the recent expansion of the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database to study the association between urate levels and ALS survival. Pooled data of 1,736 ALS participants from the PRO-ACT database were analyzed. Cox proportional hazards regression models were used to evaluate associations between urate levels at trial entry and survival. After adjustment for potential confounders (i.e., creatinine and body mass index), there was an 11% reduction in risk of reaching a survival endpoint during the study with each 1-mg/dL increase in uric acid levels (adjusted hazard ratio 0.89, 95% confidence interval 0.82-0.97, P < 0.01). Our pooled analysis provides further support for urate as a prognostic factor for survival in ALS and confirms the utility of the PRO-ACT database as a powerful resource for ALS epidemiological research. Muscle Nerve 57: 430-434, 2018. © 2017 Wiley Periodicals, Inc.

Current (2004-07) Conditions and Changes in Ground-Water Levels from Predevelopment to 2007, Southern High Plains Aquifer, East-Central New Mexico-Curry County, Portales, and Causey Lingo Underground Water Basins

USGS Publications Warehouse

Tillery, Anne

2008-01-01

The Southern High Plains aquifer is the principal aquifer in Curry and Roosevelt Counties, N. Mex., and primary source of water in southeastern New Mexico. Successful water-supply planning for New Mexico's Southern High Plains requires knowledge of the current aquifer conditions and a context to estimate future trends given current aquifer-management policy. This report provides a summary of the current (2007) water-level status of the Southern High Plains aquifer in New Mexico, including a basis for estimating future trends by comparison with historical conditions. This report includes estimates of the extent of ground-water level declines in the Curry County, Portales, and Causey-Lingo Ground-water Management Area parts of the High Plains Aquifer in eastern New Mexico since predevelopment. Maps representing 2007 water levels, water-level declines, aquifer saturated thickness, and depth to water accompanied by hydrographs from representative wells for the Southern High Plains aquifer in the Curry County, Portales, and Causey Lingo Underground Water Basins were prepared in cooperation with the New Mexico Office of the State Engineer. The results of this mapping show the water level declined as much as 175 feet in the study area at rates as high as 1.76 feet per year.

HABITAT DISTRIBUTION MODELS FOR 37 VERTEBRATE SPECIES ADDRESSED BY THE MULTI-SPECIES HABITAT CONSERVATION PLAN OF CLARK COUNTY, NEVADA

EPA Science Inventory

Thirty-seven species identified in the Clark County Multi-Species Habitat Conservation Plan were

previously modeled through the Southwest Regional Gap Analysis Project. Existing SWReGAP habitat

models and modeling databases were used to facilitate the revision of mo...

Geology of the Palo Alto 30 x 60 minute quadrangle, California: A digital database

USGS Publications Warehouse

Brabb, Earl E.; Graymer, R.W.; Jones, David Lawrence

1998-01-01

This map database represents the integration of previously published and unpublished maps by several workers (see Sources of Data index map on Sheet 2 and the corresponding table below) and new geologic mapping and field checking by the authors with the previously published geologic map of San Mateo County (Brabb and Pampeyan, 1983) and Santa Cruz County (Brabb, 1989, Brabb and others, 1997), and various sources in a small part of Santa Clara County. These new data are released in digital form to provide an opportunity for regional planners, local, state, and federal agencies, teachers, consultants, and others interested in geologic data to have the new data long before a traditional paper map is published. The new data include a new depiction of Quaternary units in the San Francisco Bay plain emphasizing depositional environment, important new observations between the San Andreas and Pilarcitos faults, and a new interpretation of structural and stratigraphic relationships of rock packages (Assemblages).

[Key content and formulation of national Chinese materia medica resources survey at county level].

PubMed

Lu, Jian-Wei; Zhang, Xiao-Bo; Li, Hai-Tao; Guo, Lan-Ping; Zhao, Run-Huai; Zhang, Ben-Gang; Sun, Li-Ying; Huang, Lu-Qi

2013-08-01

According to National Census for Water, National Population Census, National Land and Resources Survey, and work experience of experimental measures for national Chinese materia medica resources(CMMR) survey,the national CMMR survey at the county level is the key point of whole survey, that includes organization and management, field survey, sorting data three key links. Organization and management works of national CMMR survey needs to finish four key contents, there are definite goals and tasks, practicable crew, preparation directory, and security assurance. Field survey works of the national CMMR survey needs to finish five key contents, there are preparation works for field survey, the choice of the key survey area (samples), fill in the questionnaire, video data collection, specimen and other physical collection. Sorting data works of the national CMMR survey needs to finish tree key contents, there are data, specimen and census results.

Description of water-resource-related data compiled for Reno County, south-central Kansas

USGS Publications Warehouse

Hansen, C.V.

1993-01-01

Water-resource-related data for sites in Reno County, Kansas were compiled in cooperation with the Reno County Health Department as part of the Kansas Department of Health and Environment's Local Environmental Protection Program (LEPP). These data were entered into a relational data-base management system (RDBMS) to facilitate the spatial analysis required to meet the LEPP goals of developing plans for nonpoint-source management and for public- water-supply protection. The data in the RDBMS are organized into digital data sets. The data sets contain the water-resource-related data compiled by the U.S. Geological Survey for 958 wells; by the Kansas Department of Health and Environment for 3,936 wells; by the Kansas Department of Health and Environment for 51 wells, 18 public-water-supply distribution systems, and 7 streams; by the Kansas State Board of Agriculture for 643 wells and 23 streams or surface-water impoundments; and by well-drilling contractors and the Kansas Geological Survey for 96 wells. The data in these five data sets are available from the Reno County Health Department in Hutchinson, Kansas. (USGS)

Trends and Patterns of Disparities in Cancer Mortality Among US Counties, 1980–2014

PubMed Central

Mokdad, Ali H.; Dwyer-Lindgren, Laura; Fitzmaurice, Christina; Stubbs, Rebecca W.; Bertozzi-Villa, Amelia; Morozoff, Chloe; Charara, Raghid; Allen, Christine; Naghavi, Mohsen; Murray, Christopher J. L.

2017-01-01

INTRODUCTION Cancer is a leading cause of morbidity and mortality in the United States and results in a high economic burden. OBJECTIVE To estimate age-standardized mortality rates by US county from 29 cancers. DESIGN AND SETTING Deidentified death records from the National Center for Health Statistics (NCHS) and population counts from the Census Bureau, the NCHS, and the Human Mortality Database from 1980 to 2014 were used. Validated small area estimation models were used to estimate county-level mortality rates from 29 cancers: lip and oral cavity; nasopharynx; other pharynx; esophageal; stomach; colon and rectum; liver; gallbladder and biliary; pancreatic; larynx; tracheal, bronchus, and lung; malignant skin melanoma; nonmelanoma skin cancer; breast; cervical; uterine; ovarian; prostate; testicular; kidney; bladder; brain and nervous system; thyroid; mesothelioma; Hodgkin lymphoma; non-Hodgkin lymphoma; multiple myeloma; leukemia; and all other cancers combined. EXPOSURE County of residence. MAIN OUTCOMES AND MEASURES Age-standardized cancer mortality rates by county, year, sex, and cancer type. RESULTS A total of 19 511 910 cancer deaths were recorded in the United States between 1980 and 2014, including 5 656 423 due to tracheal, bronchus, and lung cancer; 2 484 476 due to colon and rectum cancer; 1 573 593 due to breast cancer; 1 077 030 due to prostate cancer; 1 157 878 due to pancreatic cancer; 209 314 due to uterine cancer; 421 628 due to kidney cancer; 487 518 due to liver cancer; 13 927 due to testicular cancer; and 829 396 due to non-Hodgkin lymphoma. Cancer mortality decreased by 20.1%(95% uncertainty interval [UI], 18.2%–21.4%) between 1980 and 2014, from 240.2 (95% UI, 235.8–244.1) to 192.0 (95% UI, 188.6–197.7) deaths per 100 000 population. There were large differences in the mortality rate among counties throughout the period: in 1980, cancer mortality ranged from 130.6 (95% UI, 114.7–146.0) per 100 000 population in Summit County

Illinois hospital using Web to build database for relationship marketing.

PubMed

Rees, T

2000-01-01

Silver Cross Hospital and Medical Centers, Joliet, Ill., is promoting its Web site as a tool for gathering health information about patients and prospective patients in order to build a relationship marketing database. The database will enable the hospital to identify health care needs of consumers in Joliet, Will County and many southwestern suburbs of Chicago. The Web site is promoted in a multimedia advertising campaign that invites residents to participate in a Healthy Living Quiz that rewards respondents with free health screenings. The effort is part of a growing planning and marketing strategy in the health care industry called customer relationship management (CRM). Not only does a total CRM plan offer health care organizations the chance to discover the potential for meeting consumers' needs; it also helps find any marketplace gaps that may exist.

BioImaging Database

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

David Nix, Lisa Simirenko

2006-10-25

The Biolmaging Database (BID) is a relational database developed to store the data and meta-data for the 3D gene expression in early Drosophila embryo development on a cellular level. The schema was written to be used with the MySQL DBMS but with minor modifications can be used on any SQL compliant relational DBMS.

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.

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.

Scaling up health knowledge at European level requires sharing integrated data: an approach for collection of database specification

PubMed Central

Menditto, Enrica; Bolufer De Gea, Angela; Cahir, Caitriona; Marengoni, Alessandra; Riegler, Salvatore; Fico, Giuseppe; Costa, Elisio; Monaco, Alessandro; Pecorelli, Sergio; Pani, Luca; Prados-Torres, Alexandra

2016-01-01

Computerized health care databases have been widely described as an excellent opportunity for research. The availability of “big data” has brought about a wave of innovation in projects when conducting health services research. Most of the available secondary data sources are restricted to the geographical scope of a given country and present heterogeneous structure and content. Under the umbrella of the European Innovation Partnership on Active and Healthy Ageing, collaborative work conducted by the partners of the group on “adherence to prescription and medical plans” identified the use of observational and large-population databases to monitor medication-taking behavior in the elderly. This article describes the methodology used to gather the information from available databases among the Adherence Action Group partners with the aim of improving data sharing on a European level. A total of six databases belonging to three different European countries (Spain, Republic of Ireland, and Italy) were included in the analysis. Preliminary results suggest that there are some similarities. However, these results should be applied in different contexts and European countries, supporting the idea that large European studies should be designed in order to get the most of already available databases. PMID:27358570

Scaling up health knowledge at European level requires sharing integrated data: an approach for collection of database specification.

PubMed

Menditto, Enrica; Bolufer De Gea, Angela; Cahir, Caitriona; Marengoni, Alessandra; Riegler, Salvatore; Fico, Giuseppe; Costa, Elisio; Monaco, Alessandro; Pecorelli, Sergio; Pani, Luca; Prados-Torres, Alexandra

2016-01-01

Computerized health care databases have been widely described as an excellent opportunity for research. The availability of "big data" has brought about a wave of innovation in projects when conducting health services research. Most of the available secondary data sources are restricted to the geographical scope of a given country and present heterogeneous structure and content. Under the umbrella of the European Innovation Partnership on Active and Healthy Ageing, collaborative work conducted by the partners of the group on "adherence to prescription and medical plans" identified the use of observational and large-population databases to monitor medication-taking behavior in the elderly. This article describes the methodology used to gather the information from available databases among the Adherence Action Group partners with the aim of improving data sharing on a European level. A total of six databases belonging to three different European countries (Spain, Republic of Ireland, and Italy) were included in the analysis. Preliminary results suggest that there are some similarities. However, these results should be applied in different contexts and European countries, supporting the idea that large European studies should be designed in order to get the most of already available databases.

County-level estimates of nutrient inputs to the landsurface of the conterminous United States, 1982-2001

USGS Publications Warehouse

Ruddy, Barbara C.; Lorenz, David L.; Mueller, David K.

2006-01-01

Nutrient input data for fertilizer use, livestock manure, and atmospheric deposition from various sources were estimated and allocated to counties in the conterminous United States for the years 1982 through 2001. These nationally consistent nutrient input data are needed by the National Water-Quality Assessment Program for investigations of stream- and ground-water quality. For nitrogen, the largest source was farm fertilizer; for phosphorus, the largest sources were farm fertilizer and livestock manure. Nutrient inputs from fertilizer use in nonfarm areas, while locally important, were an order of magnitude smaller than inputs from other sources. Nutrient inputs from all sources increased between 1987 and 1997, but the relative proportions of nutrients from each source were constant. Farm-fertilizer inputs were highest in the upper Midwest, along eastern coastal areas, and in irrigated areas of the West. Nonfarm-fertilizer use was similar in major metropolitan areas throughout the Nation, but was more extensive in the more populated Eastern and Central States and in California. Areas of greater manure inputs were located throughout the South-central and Southeastern States and in scattered areas of the West. Nitrogen deposition from the atmosphere generally increased from west to east and is related to the location of major sources and the effects of precipitation and prevailing winds. These nutrient-loading data at the county level are expected to be the fundamental basis for national and regional assessments of water quality for the National Water-Quality Assessment Program and other large-scale programs.

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

LiverAtlas: a unique integrated knowledge database for systems-level research of liver and hepatic disease.

PubMed

Zhang, Yanqiong; Yang, Chunyuan; Wang, Shaochuang; Chen, Tao; Li, Mansheng; Wang, Xue; Li, Dongsheng; Wang, Kang; Ma, Jie; Wu, Songfeng; Zhang, Xueli; Zhu, Yunping; Wu, Jinsheng; He, Fuchu

2013-09-01

A large amount of liver-related physiological and pathological data exist in publicly available biological and bibliographic databases, which are usually far from comprehensive or integrated. Data collection, integration and mining processes pose a great challenge to scientific researchers and clinicians interested in the liver. To address these problems, we constructed LiverAtlas (http://liveratlas.hupo.org.cn), a comprehensive resource of biomedical knowledge related to the liver and various hepatic diseases by incorporating 53 databases. In the present version, LiverAtlas covers data on liver-related genomics, transcriptomics, proteomics, metabolomics and hepatic diseases. Additionally, LiverAtlas provides a wealth of manually curated information, relevant literature citations and cross-references to other databases. Importantly, an expert-confirmed Human Liver Disease Ontology, including relevant information for 227 types of hepatic disease, has been constructed and is used to annotate LiverAtlas data. Furthermore, we have demonstrated two examples of applying LiverAtlas data to identify candidate markers for hepatocellular carcinoma (HCC) at the systems level and to develop a systems biology-based classifier by combining the differential gene expression with topological features of human protein interaction networks to enhance the ability of HCC differential diagnosis. LiverAtlas is the most comprehensive liver and hepatic disease resource, which helps biologists and clinicians to analyse their data at the systems level and will contribute much to the biomarker discovery and diagnostic performance enhancement for liver diseases. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

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.

Ground-water quality for Grainger County, Tennessee

USGS Publications Warehouse

Weaver, J.D.; Patel, A.R.; Hickey, A.C.

1994-01-01

The residents of Grainger County depend on ground water for many of their daily needs including personal consumption and crop irrigation. To address concerns associated with ground-water quality related to domestic use, the U.S. Geological Survey collected water samples from 35 wells throughout the county during the summer 1992. The water samples were analyzed to determine if pesticides, nutrients, bacteria, and other selected constituents were present in the ground water. Wells selected for the study were between 100 and 250 feet deep and yielded 10 to 50 gallons of water per minute. Laboratory analyses of the water found no organic pesticides at concentrations exceeding the primary maximum contaminant levels established by the State of Tennessee for wells used for public supply. However, fecal coliform bacteria were detected at concentrations exceeding the State's maximum contaminant level in water from 15 of the 35 wells sampled. Analyses also indicated several inorganic compounds were present in the water samples at concentrations exceeding the secondary maximum contaminant level.

Bedford County Employer Needs Assessment.

ERIC Educational Resources Information Center

Rephann, Terance J.

In the summer of 1995, 371 establishments in Bedford County, Pennsylvania, were surveyed regarding their opinions of the quality of the local work force. The purpose of the study was to provide evaluation data for planning and curriculum development at the secondary and post-secondary school levels. Forty-three percent of the employers responded.…

Assessing climate change and health vulnerability at the local level: Travis County, Texas.

PubMed

Prudent, Natasha; Houghton, Adele; Luber, George

2016-10-01

We created a measure to help comprehend population vulnerability to potential flooding and excessive heat events using health, built environment and social factors. Through principal component analysis (PCA), we created non-weighted sum index scores of literature-reviewed social and built environment characteristics. We created baseline poor health measures using 1999-2005 age-adjusted cardiovascular and combined diabetes and hypertension mortality rates to correspond with social-built environment indices. We mapped US Census block groups by linked age-adjusted mortality and a PCA-created social-built environment index. The goal was to measure flooding and excessive heat event vulnerability as proxies for population vulnerability to climate change for Travis County, Texas. This assessment identified communities where baseline poor health, social marginalisation and built environmental impediments intersected. Such assessments may assist targeted interventions and improve emergency preparedness in identified vulnerable communities, while fostering resilience through the focus of climate change adaptation policies at the local level. No claim to original US government works. Journal compilation © 2016 Overseas Development Institute.

Floor Plans Level 15 Load Platform, Level 17 Lower ...

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

Floor Plans - Level 15 Load Platform, Level 17 Lower Platform, Level 22 and Upper Platform, and Level 27 - Marshall Space Flight Center, Saturn V S-IC Static Test Facility, West Test Area, Huntsville, Madison County, AL

Association between Firearm Laws and Homicide in Urban Counties.

PubMed

Crifasi, Cassandra K; Merrill-Francis, Molly; McCourt, Alex; Vernick, Jon S; Wintemute, Garen J; Webster, Daniel W

2018-05-21

Laws related to the sale, use, and carrying of firearms have been associated with differences in firearm homicide rates at the state level. Right-to-carry (RTC) and stand your ground (SYG) laws are associated with increases in firearm homicide; permit-to-purchase (PTP) laws and those prohibiting individuals convicted of violent misdemeanors (VM) have been associated with decreases in firearm homicide. Evidence for the effect of comprehensive background checks (CBC) not tied to PTP is inconclusive. Because firearm homicide tends to concentrate in urban areas, this study was designed to test the effects of firearm laws on homicide in large, urban U.S. counties. We conducted a longitudinal study using an interrupted time series design to evaluate the effect of firearm laws on homicide in large, urban U.S. counties from 1984 to 2015 (N = 136). We used mixed effects Poisson regression models with random intercepts for counties and year fixed effects to account for national trends. Models also included county and state characteristics associated with violence. Homicide was stratified by firearm versus all other methods to test for specificity of the laws' effects. PTP laws were associated with a 14% reduction in firearm homicide in large, urban counties (IRR = 0.86, 95% CI 0.82-0.90). CBC-only, SYG, RTC, and VM laws were all associated with increases in firearm homicide. None of the laws were associated with differences in non-firearm homicide rates. These findings are consistent with prior research at the state level showing PTP laws are associated with decreased firearm homicide. Testing the effects of PTP laws specifically in large, urban counties strengthens available evidence by isolating the effects in the geographic locations in which firearm homicides concentrate.

Heterogeneous Costs of Alcohol and Drug Problems Across Cities and Counties in California

PubMed Central

Miller, Ted R.; Nygaard, Peter; Gaidus, Andrew; Grube, Joel W.; Ponicki, William R.; Lawrence, Bruce A.; Gruenewald, Paul J.

2017-01-01

Background Estimates of economic and social costs related to alcohol and other drug (AOD) use and abuse are usually made at state and national levels. Ecological analyses demonstrate, however, that substantial variations exist in the incidence and prevalence of AOD use and problems including impaired driving, violence, and chronic disease between smaller geopolitical units like counties and cities. This study examines the ranges of these costs across counties and cities in California. Methods We used estimates of the incidence and prevalence of AOD use, abuse and related problems to calculate costs in 2010 dollars for all 58 counties and an ecological sample of 50 cities with populations between 50,000 and 500,000 persons in California. The estimates were built from archival and public-use survey data collected at state, county and city-levels over the years from 2009 to 2010. Results Costs related to alcohol use and related problems exceeded those related to illegal drugs across all counties and most cities in the study. Substantial heterogeneities in costs were observed between cities within counties. Conclusions AOD costs are heterogeneously distributed across counties and cities, reflecting the degree to which different populations are engaged in use and abuse across the state. These findings provide a strong argument for the distribution of treatment and prevention resources proportional to need. PMID:28208210

Evaluation of the Xpert MTB/RIF assay for diagnosis of tuberculosis and rifampin resistance in county-level laboratories in Hunan province, China.

PubMed

Hu, Peilei; Bai, Liqiong; Liu, Fengping; Ou, Xichao; Zhang, Zhiying; Yi, Songlin; Chen, Zhongnan; Gong, Daofang; Liu, Binbin; Guo, Jingwei; Tan, Yunhong

2014-01-01

The Xpert MTB/RIF showed high sensitivity and specificity in previous studies carried out in different epidemiological and geographical settings and patient populations in high-burden tuberculosis (TB) countries. However, there were little data obtained by validation or demonstration study of the assay in China. In this study, the performance of Xpert MTB/RIF was investigated in two county-level laboratories in Hunan Province, China. Consecutive patients with suspected pulmonary tuberculosis (PTB) and suspicion for multidrug-resistant tuberculosis (MDR-TB) were enrolled. For each patient suspected to have PTB, three sputum specimens (one spot sputum, one night sputum, and one morning sputum) were collected and each sputum was tested with smear microscopy, Löwenstein-Jensen (LJ) culture, and Xpert MTB/RIF test. For comparison across subgroups and testing methods, 95% confidence intervals were calculated. All analyses were done with SPSS 16.0, and P < 0.05 was regarded as significant. For case detection, the sensitivity of Xpert MTB/RIF was 100% for smear- and culture-positive TB and 88.6% for smear-negative and culture-positive TB; the overall sensitivity was 94.5% for all culture-positive patients. The specificity was 99.8%. The sensitivity of Xpert MTB/RIF assay was 22.0% in clinical TB patients and the specificity reached 100.0% in the group of patients who are infected with nontuberculous mycobacteria. For the detection of rifampin resistance, the sensitivity of MTB/RIF RIF-resistance detection was 92.9%, and the specificity was 98.7%. Of the 26 Xpert MTB/RIF-positive and RIF-resistant patients confirmed by LJ proportion tests, 20 (76.9%) patients were infected by MDR-TB. The Xpert MTB/RIF assay is a highly sensitive and specific method for diagnosis of TB and RIF resistance, which will enable it to have the potential to be used in county-level laboratories and lead to the reduction of the infectious pool and improvements in TB control in China. Further

A county-level estimate of PM2.5 related chronic mortality risk in China based on multi-model exposure data.

PubMed

Wang, Qing; Wang, Jiaonan; He, Mike Z; Kinney, Patrick L; Li, Tiantian

2018-01-01

Ambient fine particulate matter (PM 2.5 ) pollution is currently a serious environmental problem in China, but evidence of health effects with higher resolution and spatial coverage is insufficient. This study aims to provide a better overall understanding of long-term mortality effects of PM 2.5 pollution in China and a county-level spatial map for estimating PM 2.5 related premature deaths of the entire country. Using four sets of satellite-derived PM 2.5 concentration data and the integrated exposure-response model which has been employed by the Global Burden of Disease (GBD) to estimate global mortality of ambient and household air pollution in 2010, we estimated PM 2.5 related premature mortality for five endpoints across China in 2010. Premature deaths attributed to PM 2.5 nationwide amounted to 1.27million in total, and 119,167, 83,976, 390,266, 670,906 for adult chronic obstructive pulmonary disease, lung cancer, ischemic heart disease, and stroke, respectively; 3995 deaths for acute lower respiratory infections were estimated in children under the age of 5. About half of the premature deaths were from counties with annual average PM 2.5 concentrations above 63.61μg/m 3 , which cover 16.97% of the Chinese territory. These counties were largely located in the Beijing-Tianjin-Hebei region and the North China Plain. High population density and high pollution areas exhibited the highest health risks attributed to air pollution. On a per capita basis, the highest values were mostly located in heavily polluted industrial regions. PM 2.5 -attributable health risk is closely associated with high population density and high levels of pollution in China. Further estimates using long-term historical exposure data and concentration-response (C-R) relationships should be completed in the future to investigate longer-term trends in the effects of PM 2.5 . Copyright © 2017 Elsevier Ltd. All rights reserved.

The 2007 Projected Impacts to Clark County and Local Government Public Safety Agencies Resulting from the Transportation of High- Level Nuclear Waste to Yucca Mountain

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

Mushkatel, A.H.; Conway, P.H.D.S.; Navis, I.

2008-07-01

This paper focuses on projecting fiscal impacts to public safety agencies from the proposed high-level nuclear waste repository at Yucca Mountain, Nevada. The efforts made by Clark County Nevada, to develop a fiscal model of impacts for public safety agencies are described in this paper. In addition, the scenarios used in the study are discussed, as well as a discussion of the plume models provided for each community's scenario that result from the efforts of the National Atmospheric Release Advisory Center (NARAC). Some of the difficulties in constructing a fiscal model of impacts for the entire 24 year high-level nuclearmore » waste transportation shipping campaign are identified, and a refined methodology is provided to accomplish this task. Finally, a comparison of the fiscal impact projections for public safety agencies that Clark County developed in 2001, 2005 are discussed, and the fiscal impact cost projections for the entire 24 year transportation campaign are provided. (authors)« less

75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

Federal Register 2010, 2011, 2012, 2013, 2014

2010-05-07

... DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Winnebago County, IL and Rock County, WI AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice... Nye School Road northwest of Beloit, Rock County, Wisconsin to the interchange of Rockton Road and I...

Intelligent communication assistant for databases

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

Jakobson, G.; Shaked, V.; Rowley, S.

1983-01-01

An intelligent communication assistant for databases, called FRED (front end for databases) is explored. FRED is designed to facilitate access to database systems by users of varying levels of experience. FRED is a second generation of natural language front-ends for databases and intends to solve two critical interface problems existing between end-users and databases: connectivity and communication problems. The authors report their experiences in developing software for natural language query processing, dialog control, and knowledge representation, as well as the direction of future work. 10 references.

County Government in Georgia [And] Teacher's Manual for County Government in Georgia.

ERIC Educational Resources Information Center

Hepburn, Mary A.

The student textbook and the teacher's manual focus on the services, organization, and funding of county government in Georgia. Designed to be used over a three to six week period, the textbook is arranged into six chapters. Chapter one discusses county government, its services, and its structure. Chapter two focuses on county officials and their…

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

Recentralization within decentralization: County hospital autonomy under devolution in Kenya

PubMed Central

Manyara, Anthony M.; Molyneux, Sassy; Tsofa, Benjamin

2017-01-01

Background In 2013, Kenya transitioned into a devolved system of government with a central government and 47 semi-autonomous county governments. In this paper, we report early experiences of devolution in the Kenyan health sector, with a focus on public county hospitals. Specifically, we examine changes in hospital autonomy as a result of devolution, and how these have affected hospital functioning. Methods We used a qualitative case study approach to examine the level of autonomy that hospitals had over key management functions and how this had affected hospital functioning in three county hospitals in coastal Kenya. We collected data by in-depth interviews of county health managers and hospital managers in the case study hospitals (n = 21). We adopted the framework proposed by Chawla et al (1995) to examine the autonomy that hospitals had over five management domains (strategic management, finance, procurement, human resource, and administration), and how these influenced hospital functioning. Findings Devolution had resulted in a substantial reduction in the autonomy of county hospitals over the five key functions examined. This resulted in weakened hospital management and leadership, reduced community participation in hospital affairs, compromised quality of services, reduced motivation among hospital staff, non-alignment of county and hospital priorities, staff insubordination, and compromised quality of care. Conclusion Increasing the autonomy of county hospitals in Kenya will improve their functioning. County governments should develop legislation that give hospitals greater control over resources and key management functions. PMID:28771558

Analysis of Ground-Water Levels and Associated Trends in Yucca Flat, Nevada Test Site, Nye County, Nevada, 1951-2003

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

J.M. Fenelon

2005-10-05

Almost 4,000 water-level measurements in 216 wells in the Yucca Flat area from 1951 to 2003 were quality assured and analyzed. An interpretative database was developed that describes water-level conditions for each water level measured in Yucca Flat. Multiple attributes were assigned to each water-level measurement in the database to describe the hydrologic conditions at the time of measurement. General quality, temporal variability, regional significance, and hydrologic conditions are attributed for each water-level measurement. The database also includes narratives that discuss the water-level history of each well. Water levels in 34 wells were analyzed for variability and for statistically significantmore » trends. An attempt was made to identify the cause of many of the water-level fluctuations or trends. Potential causes include equilibration following well construction or development, pumping in the monitoring well, withdrawals from a nearby supply well, recharge from precipitation, earthquakes, underground nuclear tests, land subsidence, barometric pressure, and Earth tides. Some of the naturally occurring fluctuations in water levels may result from variations in recharge. The magnitude of the overall water-level change for these fluctuations generally is less than 2 feet. Long-term steady-state hydrographs for most of the wells open to carbonate rock have a very similar pattern. Carbonate-rock wells without the characteristic pattern are directly west of the Yucca and Topgallant faults in the southwestern part of Yucca Flat. Long-term steady-state hydrographs from wells open to volcanic tuffs or the Eleana confining unit have a distinctly different pattern from the general water-level pattern of the carbonate-rock aquifers. Anthropogenic water-level fluctuations were caused primarily by water withdrawals and nuclear testing. Nuclear tests affected water levels in many wells. Trends in these wells are attributed to test-cavity infilling or the effects of

Analysis of ground-water levels and associated trends in Yucca Flat, Nevada Test Site, Nye County, Nevada, 1951-2003

USGS Publications Warehouse

Fenelon, Joseph M.

2005-01-01

Almost 4,000 water-level measurements in 216 wells in the Yucca Flat area from 1951 to 2003 were quality assured and analyzed. An interpretative database was developed that describes water-level conditions for each water level measured in Yucca Flat. Multiple attributes were assigned to each water-level measurement in the database to describe the hydrologic conditions at the time of measurement. General quality, temporal variability, regional significance, and hydrologic conditions are attributed for each water-level measurement. The database also includes narratives that discuss the water-level history of each well. Water levels in 34 wells were analyzed for variability and for statistically significant trends. An attempt was made to identify the cause of many of the water-level fluctuations or trends. Potential causes include equilibration following well construction or development, pumping in the monitoring well, withdrawals from a nearby supply well, recharge from precipitation, earthquakes, underground nuclear tests, land subsidence, barometric pressure, and Earth tides. Some of the naturally occurring fluctuations in water levels may result from variations in recharge. The magnitude of the overall water-level change for these fluctuations generally is less than 2 feet. Long-term steady-state hydrographs for most of the wells open to carbonate rock have a very similar pattern. Carbonate-rock wells without the characteristic pattern are directly west of the Yucca and Topgallant faults in the southwestern part of Yucca Flat. Long-term steady-state hydrographs from wells open to volcanic tuffs or the Eleana confining unit have a distinctly different pattern from the general water-level pattern of the carbonate-rock aquifers. Anthropogenic water-level fluctuations were caused primarily by water withdrawals and nuclear testing. Nuclear tests affected water levels in many wells. Trends in these wells are attributed to test-cavity infilling or the effects of

73. Level 6 (Balcony Level) looking north showing steps coming ...

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

73. Level 6 (Balcony Level) looking north showing steps coming down from statue mezzanine level and anchorage eyebars. February 1984. - Statue of Liberty, Liberty Island, Manhattan, New York County, NY

NIST Databases on Atomic Spectra

NASA Astrophysics Data System (ADS)

Reader, J.; Wiese, W. L.; Martin, W. C.; Musgrove, A.; Fuhr, J. R.

2002-11-01

The NIST atomic and molecular spectroscopic databases now available on the World Wide Web through the NIST Physics Laboratory homepage include Atomic Spectra Database, Ground Levels and Ionization Energies for the Neutral Atoms, Spectrum of Platinum Lamp for Ultraviolet Spectrograph Calibration, Bibliographic Database on Atomic Transition Probabilities, Bibliographic Database on Atomic Spectral Line Broadening, and Electron-Impact Ionization Cross Section Database. The Atomic Spectra Database (ASD) [1] offers evaluated data on energy levels, wavelengths, and transition probabilities for atoms and atomic ions. Data are given for some 950 spectra and 70,000 energy levels. About 91,000 spectral lines are included, with transition probabilities for about half of these. Additional data resulting from our ongoing critical compilations will be included in successive new versions of ASD. We plan to include, for example, our recently published data for some 16,000 transitions covering most ions of the iron-group elements, as well as Cu, Kr, and Mo [2]. Our compilations benefit greatly from experimental and theoretical atomic-data research being carried out in the NIST Atomic Physics Division. A new compilation covering spectra of the rare gases in all stages of ionization, for example, revealed a need for improved data in the infrared. We have thus measured these needed data with our high-resolution Fourier transform spectrometer [3]. An upcoming new database will give wavelengths and intensities for the stronger lines of all neutral and singly-ionized atoms, along with energy levels and transition probabilities for the persistent lines [4]. A critical compilation of the transition probabilities of Ba I and Ba II [5] has been completed and several other compilations of atomic transition probabilities are nearing completion. These include data for all spectra of Na, Mg, Al, and Si [6]. Newly compiled data for selected ions of Ne, Mg, Si and S, will form the basis for a new

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.

Ground-water resources of Flagler County, Florida

USGS Publications Warehouse

Navoy, A.S.; Bradner, L.A.

1987-01-01

Groundwater is the only significant source of potable water in Flagler County. Usable water occurs in the Upper Floridan aquifer, the intermediate population is expected to place stresses on the water resources of the county. Although rainfall averages almost 50 in/yr, most of the water leaves as evapotranspiration and streamflow. Less than 1 in/yr recharge may be occurring to the Upper Floridan aquifer, the highest yielding aquifer. The Upper Floridan aquifer consists of the Avon Park Formation, the Ocala Limestone, and the basal dolomitic limestone of the Hawthorne. Use of the Upper Floridan aquifer for public water supply is limited in most of the county because it contains marginally potable or brackish water. It is used extensively for agricultural irrigation. The intermediate aquifer system consists of thin, discontinues lenses of sand, shell, and limestone between clays overlying the Floridan aquifer system. The intermediate aquifer system is an important part of the public water supply of the county because of the good quality of the water. The intermediate aquifer system has variable yields because of the discontinuous lenses. The surficial aquifer system is composed of sand and shell with varying fractions of finer materials. Well yields are small in the west and central parts of Flagler County, but the surficial aquifer system is an adequate source of domestic supply on the barrier island. A zone of freshwater in the surficial aquifer system is very important in the Hammock area, being the local source of most domestic supply in the area. Changes in hydrologic conditions from the 1950 's include a long-term decline in water levels in the Upper Floridan aquifer coincident with lower-than-average rainfall and a greater seasonal fluctuation of water levels. Chloride concentrations of water in the Upper Floridan aquifer do not appear to have changed significantly, presently ranging from 7 to 3,700 mg/L. Development will place stress on the aquifers and may

Estimating the Population Sizes of Men Who Have Sex With Men in US States and Counties Using Data From the American Community Survey.

PubMed

Grey, Jeremy A; Bernstein, Kyle T; Sullivan, Patrick S; Purcell, David W; Chesson, Harrell W; Gift, Thomas L; Rosenberg, Eli S

2016-01-01

In the United States, male-to-male sexual transmission accounts for the greatest number of new human immunodeficiency virus (HIV) diagnoses and a substantial number of sexually transmitted infections (STI) annually. However, the prevalence and annual incidence of HIV and other STIs among men who have sex with men (MSM) cannot be estimated in local contexts because demographic data on sexual behavior, particularly same-sex behavior, are not routinely collected by large-scale surveys that allow analysis at state, county, or finer levels, such as the US decennial census or the American Community Survey (ACS). Therefore, techniques for indirectly estimating population sizes of MSM are necessary to supply denominators for rates at various geographic levels. Our objectives were to indirectly estimate MSM population sizes at the county level to incorporate recent data estimates and to aggregate county-level estimates to states and core-based statistical areas (CBSAs). We used data from the ACS to calculate a weight for each county in the United States based on its relative proportion of households that were headed by a male who lived with a male partner, compared with the overall proportion among counties at the same level of urbanicity (ie, large central metropolitan county, large fringe metropolitan county, medium/small metropolitan county, or nonmetropolitan county). We then used this weight to adjust the urbanicity-stratified percentage of adult men who had sex with a man in the past year, according to estimates derived from the National Health and Nutrition Examination Survey (NHANES), for each county. We multiplied the weighted percentages by the number of adult men in each county to estimate its number of MSM, summing county-level estimates to create state- and CBSA-level estimates. Finally, we scaled our estimated MSM population sizes to a meta-analytic estimate of the percentage of US MSM in the past 5 years (3.9%). We found that the percentage of MSM among adult

The Danish Cardiac Rehabilitation Database.

PubMed

Zwisler, Ann-Dorthe; Rossau, Henriette Knold; Nakano, Anne; Foghmar, Sussie; Eichhorst, Regina; Prescott, Eva; Cerqueira, Charlotte; Soja, Anne Merete Boas; Gislason, Gunnar H; Larsen, Mogens Lytken; Andersen, Ulla Overgaard; Gustafsson, Ida; Thomsen, Kristian K; Boye Hansen, Lene; Hammer, Signe; Viggers, Lone; Christensen, Bo; Kvist, Birgitte; Lindström Egholm, Cecilie; May, Ole

2016-01-01

The Danish Cardiac Rehabilitation Database (DHRD) aims to improve the quality of cardiac rehabilitation (CR) to the benefit of patients with coronary heart disease (CHD). Hospitalized patients with CHD with stenosis on coronary angiography treated with percutaneous coronary intervention, coronary artery bypass grafting, or medication alone. Reporting is mandatory for all hospitals in Denmark delivering CR. The database was initially implemented in 2013 and was fully running from August 14, 2015, thus comprising data at a patient level from the latter date onward. Patient-level data are registered by clinicians at the time of entry to CR directly into an online system with simultaneous linkage to other central patient registers. Follow-up data are entered after 6 months. The main variables collected are related to key outcome and performance indicators of CR: referral and adherence, lifestyle, patient-related outcome measures, risk factor control, and medication. Program-level online data are collected every third year. Based on administrative data, approximately 14,000 patients with CHD are hospitalized at 35 hospitals annually, with 75% receiving one or more outpatient rehabilitation services by 2015. The database has not yet been running for a full year, which explains the use of approximations. The DHRD is an online, national quality improvement database on CR, aimed at patients with CHD. Mandatory registration of data at both patient level as well as program level is done on the database. DHRD aims to systematically monitor the quality of CR over time, in order to improve the quality of CR throughout Denmark to benefit patients.

Ground-water and geohydrologic conditions in Queens County, Long Island, New York

USGS Publications Warehouse

Soren, Julian

1971-01-01

Queens County is a heavily populated borough of New York City, at the western end of Long Island, N. Y., in which large amounts of ground water are used, mostly for public supply. Ground water, pumped from local aquifers, by privately owned water-supply companies, supplied the water needs of about 750,000 of the nearly 2 million residents of the county in 1967; the balance was supplied by New York City from surface sources outside the county in upstate New York. The county's aquifers consist of sand and gravel of Late Cretaceous and of Pleistocene ages, and the aquifers comprise a wedge-shaped ground-water reservoir lying on a southeastward-sloping floor of Precambrian(?) bedrock. Beds of clay and silt generally confine water in the deeper parts of the reservoir; water in the deeper aquifers ranges from poorly confined to well confined. Wisconsin-age glacial deposits in the uppermost part of the reservoir contain ground water under water-table conditions. Ground water pumpage averaged about 60 mgd (million gallons per day) in Queens County from about 1900 to 1967. Much of the water was used in adjacent Kings County, another borough of New York City, prior to 1950. The large ground-water withdrawal has resulted in a wide-spread and still-growing cone of depression in the water table, reflecting a loss of about 61 billion gallons of fresh water from storage. Significant drawdown of the water table probably began with rapid urbanization of Queens County in the 1920's. The county has been extensively paved, and storm and sanitary sewers divert water, which formerly entered the ground, to tidewater north and south of the county. Natural recharge to the aquifers has been reduced to about one half of the preurban rate and is below the withdrawal rate. Ground-water levels have declined more than 40. feet from the earliest-known levels, in 1903, to 1967, and the water table is below sea level in much of the county. The aquifers are being contaminated by the movement of

Transport of hydraulic fracturing waste from Pennsylvania wells: A county-level analysis of road use and associated road repair costs.

PubMed

Patterson, Lauren A; Maloney, Kelly O

2016-10-01

Pennsylvania's rapid unconventional oil and gas (UOG) development-from a single well in 2004 to more than 6700 wells in 2013-has dramatically increased UOG waste transport by heavy trucks. This study quantified the amount of UOG waste and the distance it traveled between wells and disposal facilities on each type of road in each county between July 2010 and December 2013. In addition, the study estimated the associated financial costs to each county's road infrastructure over that period. We found that UOG wells produced a median wastewater volume of 1294 m(3) and a median of 89,267 kg of solid waste. The median number of waste-transport truck trips per well was 122. UOG wells existed in 38 Pennsylvania counties, but we estimated trucks transporting well waste traveled through 132 counties, including counties in West Virginia, Ohio, and New York. Median travel distance varied by disposal type, from 106 km to centralized treatment facilities up to 237 km to injection wells. Local roads experienced the greatest amount of truck traffic and associated costs ($1.1-6.5 M) and interstates, the least ($0.3-1.6 M). Counties with oil and gas development experienced the most truck traffic and incurred the highest associated roadway costs. However, many counties outside the active development area also incurred roadway repair costs, highlighting the extension of UOG development's spatial footprint beyond the active development area. An online data visualization tool is available here: www.nicholasinstitute.duke.edu/transportation-of-hydraulic-fracturing-waste. Copyright © 2016 Elsevier Ltd. All rights reserved.

Atomic Spectra Database (ASD)

National Institute of Standards and Technology Data Gateway

SRD 78 NIST Atomic Spectra Database (ASD) (Web, free access)   This database provides access and search capability for NIST critically evaluated data on atomic energy levels, wavelengths, and transition probabilities that are reasonably up-to-date. The NIST Atomic Spectroscopy Data Center has carried out these critical compilations.

Environmental contaminants of emerging concern in seafood--European database on contaminant levels.

PubMed

Vandermeersch, Griet; Lourenço, Helena Maria; Alvarez-Muñoz, Diana; Cunha, Sara; Diogène, Jorge; Cano-Sancho, German; Sloth, Jens J; Kwadijk, Christiaan; Barcelo, Damia; Allegaert, Wim; Bekaert, Karen; Fernandes, José Oliveira; Marques, Antonio; Robbens, Johan

2015-11-01

Marine pollution gives rise to concern not only about the environment itself but also about the impact on food safety and consequently on public health. European authorities and consumers have therefore become increasingly worried about the transfer of contaminants from the marine environment to seafood. So-called "contaminants of emerging concern" are chemical substances for which no maximum levels have been laid down in EU legislation, or substances for which maximum levels have been provided but which require revision. Adequate information on their presence in seafood is often lacking and thus potential risks cannot be excluded. Assessment of food safety issues related to these contaminants has thus become urgent and imperative. A database (www.ecsafeseafooddbase.eu), containing available information on the levels of contaminants of emerging concern in seafood and providing the most recent data to scientists and regulatory authorities, was developed. The present paper reviews a selection of contaminants of emerging concern in seafood including toxic elements, endocrine disruptors, brominated flame retardants, pharmaceuticals and personal care products, polycyclic aromatic hydrocarbons and derivatives, microplastics and marine toxins. Current status on the knowledge of human exposure, toxicity and legislation are briefly presented and the outcome from scientific publications reporting on the levels of these compounds in seafood is presented and discussed. Copyright © 2015 Elsevier Inc. All rights reserved.

Evaluation of performance and impacts of maternal and child health hospital services using Data Envelopment Analysis in Guangxi Zhuang Autonomous Region, China: a comparison study among poverty and non-poverty county level hospitals.

PubMed

Wang, Xuan; Luo, Hongye; Qin, Xianjin; Feng, Jun; Gao, Hongda; Feng, Qiming

2016-08-23

As the core of the county-level Maternal and Child Health Hospitals (MCHH) in rural areas of China, the service efficiency affects the fairness and availability of healthcare services. This study aims to identify the determinants of hospital efficiency and explore how to improve the performance of MCHH in terms of productivity and efficiency. Data was collected from a sample of 32 county-level MCHHs of Guangxi in 2014. Firstly, we specified and measured the indicators of the inputs and outputs which represent hospital resources expended and its profiles respectively. Then we estimated the efficiency scores using Data Envelopment Analysis (DEA) for each hospital. Efficiency scores were decomposed into technical, scale and congestion components, and the potential output increases and/or input reductions were also estimated in this model, which would make relatively inefficient hospitals more efficient. In the second stage, the estimated efficiency scores are regressed against hospital external and internal environment factors using a Tobit model. We used DEAP (V2.1) and R for data analysis. The average scores of technical efficiency, net technical efficiency (managerial efficiency) and scale efficiency of the hospitals were 0.875, 0.922 and 0.945, respectively. Half of the hospitals were efficient, and 9.4 % and 40.6 % were weakly efficient and inefficient, respectively. Among the low-productiveness hospitals, 61.1 % came from poor counties (Poor counties in this article are in the list of key poverty-stricken counties at the national level, published by The State Council Leading Group Office of Poverty Alleviation and Development, 2012). The total input indicated that redundant medical resources in poverty areas were significantly higher than those in non-poverty areas. The Tobit regression model showed that the technical efficiency was proportional to the total annual incomes, the number of discharge patients, and the number of outpatient and emergency visits

Social Disorganization Theory and the Contextual Nature of Crime in Nonmetropolitan Counties

ERIC Educational Resources Information Center

Barnett, Cynthia; Mencken, F. Carson

2002-01-01

This research explores violent and property crime rates in nonmetropolitan counties. It is argued that crime rates are lower in these counties because of higher levels of social integration. We test the hypothesis that predictors of crime from social disorganization theory exert different effects on violent and property crimes at different levels…

Suicide Among Military Personnel and Veterans Aged 18-35 Years by County-16 States.

PubMed

Logan, Joseph E; Fowler, Katherine A; Patel, Nimeshkumar P; Holland, Kristin M

2016-11-01

Suicide among military personnel and young Veterans remains a health concern. This study examined stateside distribution of suicides by U.S. county to help focus prevention efforts. Using 2005-2012 National Violent Death Reporting System data from 16 states (963 counties, or county-equivalent entities), this study mapped the county-level distribution of suicides among current military and Veteran decedents aged 18-35 years. This study also compared incident circumstances of death between decedents in high-density counties (i.e., counties with the highest proportion of deaths) versus those in medium/low-density counties to better understand the precipitators of suicide in counties most affected. Last, this study identified potential military and Veteran Health Administration intervention sites. All analyses were conducted in 2015. Within the National Violent Death Reporting System participating states, an estimated 262 (33%) current military suicides occurred in just ten (1.0%) counties, and 391 (33%) Veteran suicides occurred in 33 (3.4%) counties. Mental health and intimate partner problems were common precipitating circumstances, and some circumstances differed between cases in high- versus those in medium/low-density counties. Multiple potential intervention sites were identified in high-density counties. These findings suggest that military and Veteran suicides are concentrated in a small number of counties. Increased efforts at these locales might be beneficial. Published by Elsevier Inc.

THE ECOTOX DATABASE AND ECOLOGICAL SOIL SCREENING LEVEL (ECO-SSL) WEB SITES

EPA Science Inventory

The EPA's ECOTOX database (http://www.epa.gov/ecotox/) provides a web browser search interface for locating aquatic and terrestrial toxic effects information. Data on more than 8100 chemicals and 5700 terrestrial and aquatic species are included in the database. Information is ...

Levelling and merging of two discrete national-scale geochemical databases: A case study showing the surficial expression of metalliferous black shales

USGS Publications Warehouse

Smith, Steven M.; Neilson, Ryan T.; Giles, Stuart A.

2015-01-01

Government-sponsored, national-scale, soil and sediment geochemical databases are used to estimate regional and local background concentrations for environmental issues, identify possible anthropogenic contamination, estimate mineral endowment, explore for new mineral deposits, evaluate nutrient levels for agriculture, and establish concentration relationships with human or animal health. Because of these different uses, it is difficult for any single database to accommodate all the needs of each client. Smith et al. (2013, p. 168) reviewed six national-scale soil and sediment geochemical databases for the United States (U.S.) and, for each, evaluated “its appropriateness as a national-scale geochemical database and its usefulness for national-scale geochemical mapping.” Each of the evaluated databases has strengths and weaknesses that were listed in that review.Two of these U.S. national-scale geochemical databases are similar in their sample media and collection protocols but have different strengths—primarily sampling density and analytical consistency. This project was implemented to determine whether those databases could be merged to produce a combined dataset that could be used for mineral resource assessments. The utility of the merged database was tested to see whether mapped distributions could identify metalliferous black shales at a national scale.

The MAR databases: development and implementation of databases specific for marine metagenomics

PubMed Central

Klemetsen, Terje; Raknes, Inge A; Fu, Juan; Agafonov, Alexander; Balasundaram, Sudhagar V; Tartari, Giacomo; Robertsen, Espen

2018-01-01

Abstract We introduce the marine databases; MarRef, MarDB and MarCat (https://mmp.sfb.uit.no/databases/), which are publicly available resources that promote marine research and innovation. These data resources, which have been implemented in the Marine Metagenomics Portal (MMP) (https://mmp.sfb.uit.no/), are collections of richly annotated and manually curated contextual (metadata) and sequence databases representing three tiers of accuracy. While MarRef is a database for completely sequenced marine prokaryotic genomes, which represent a marine prokaryote reference genome database, MarDB includes all incomplete sequenced prokaryotic genomes regardless level of completeness. The last database, MarCat, represents a gene (protein) catalog of uncultivable (and cultivable) marine genes and proteins derived from marine metagenomics samples. The first versions of MarRef and MarDB contain 612 and 3726 records, respectively. Each record is built up of 106 metadata fields including attributes for sampling, sequencing, assembly and annotation in addition to the organism and taxonomic information. Currently, MarCat contains 1227 records with 55 metadata fields. Ontologies and controlled vocabularies are used in the contextual databases to enhance consistency. The user-friendly web interface lets the visitors browse, filter and search in the contextual databases and perform BLAST searches against the corresponding sequence databases. All contextual and sequence databases are freely accessible and downloadable from https://s1.sfb.uit.no/public/mar/. PMID:29106641

On the level of coverage and citation of publications by mechanicians of the national academy of sciences of Ukraine in the Scopus database

NASA Astrophysics Data System (ADS)

Guz, A. N.; Rushchitsky, J. J.

2009-11-01

The paper analyzes the level of coverage and citation of publications by mechanicians of the National Academy of Sciences of Ukraine (NASU) in the Scopus database. Two groups of mechanicians are considered. One group includes 66 doctors of sciences of the S. P. Timoshenko Institute of Mechanics as representatives of the oldest institute of the NASU. The other group includes 34 members (academicians and corresponding members) of the Division of Mechanics of the NASU as representatives of the authoritative community of mechanicians in Ukraine. The results are presented for each scientist in the form of two indices—the total number of publications accessible in the database as the level of coverage of the scientist's publications in this database and the h-index as the citation level of these publications. This paper may be considered to continue the papers [6-12] published in Prikladnaya Mekhanika (International Applied Mechanics) in 2005-2009

County portraits of Washington State.

Treesearch

Wendy J. McGinnis; Richard H. Phillips; Terry L. Raettig; Kent P. Connaughton

1997-01-01

This publication provides a general picture of the population, economy, and natural resources of the counties in Washington State. The intent of this report is to provide insight to changes in a county over the last 10 to 20 years, to compare county trends to statewide trends (and state trends to national trends), and to provide information on all the counties in a...

Scoping of Flood Hazard Mapping Needs for Penobscot County, Maine

USGS Publications Warehouse

Schalk, Charles W.; Dudley, Robert W.

2007-01-01

Background The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine State Planning Office Floodplain Management Program (MFMP), began scoping work in 2006 for Penobscot County. Scoping activities included assembling existing data and map needs information for communities in Penobscot County, documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) Database with information gathered during the scoping process. As of 2007, the average age of the FEMA floodplain maps in Penobscot County, Maine, is 22 years, based on the most recent revisions to the maps. Because the revisions did not affect all the map panels in each town, however, the true average date probably is more than 22 years. Many of the studies were published in the mid-1980s. Since the studies were completed, development has occurred in many of the watersheds, and the characteristics of the watersheds have changed with time. Therefore, many of the older studies may not depict current conditions nor accurately estimate risk in terms

Scoping of Flood Hazard Mapping Needs for Hancock County, Maine

USGS Publications Warehouse

Schalk, Charles W.; Dudley, Robert W.

2007-01-01

Background The Federal Emergency Management Agency (FEMA) developed a plan in 1997 to modernize the FEMA flood mapping program. FEMA flood maps delineate flood hazard areas in support of the National Flood Insurance Program (NFIP). FEMA's plan outlined the steps necessary to update FEMA's flood maps for the nation to a seamless digital format and streamline FEMA's operations in raising public awareness of the importance of the maps and responding to requests to revise them. The modernization of flood maps involves conversion of existing information to digital format and integration of improved flood hazard data as needed. To determine flood mapping modernization needs, FEMA has established specific scoping activities to be done on a county-by-county basis for identifying and prioritizing requisite flood-mapping activities for map modernization. The U.S. Geological Survey (USGS), in cooperation with FEMA and the Maine Floodplain Management Program (MFMP) State Planning Office, began scoping work in 2006 for Hancock County. Scoping activities included assembling existing data and map needs information for communities in Hancock County, documentation of data, contacts, community meetings, and prioritized mapping needs in a final scoping report (this document), and updating the Mapping Needs Update Support System (MNUSS) database with information gathered during the scoping process. The average age of the FEMA floodplain maps (all types) in Hancock County, Maine, is at least 19 years. Most of these studies were published in the late 1980s and early 1990s, and no study is more recent than 1992. Some towns have partial maps that are more recent than their study, indicating that the true average age of the data is probably more than 19 years. Since the studies were done, development has occurred in some of the watersheds and the characteristics of the watersheds have changed. Therefore, many of the older studies may not depict current conditions or accurately estimate

Water-resources data network evaluation for Monterey County, California; Phase 2, northern and coastal areas of Monterey County

USGS Publications Warehouse

Templin, W.E.; Smith, P.E.; DeBortoli, M.L.; Schluter, R.C.

1995-01-01

Control and Water Conservation District maintained three networks in the study areas to measure ground-water levels: (1) the summer network, (2) the monthly network, and (3) the annual autumn network. The California American Water Company also did some ground-water-level monitoring in these areas. Well coverage for ground-water monitoring was dense in the seawater-intrusion area north of Moss Landing (possibly because of multiple overlying aquifers), but sparse in other parts of the study areas. During the study, 44 sections were identified as not monitored for ground-water levels. In an ideal ground-water-level network, wells would be evenly spaced, except where local conditions or correlations of wells make monitoring unnecessary. A total of 384 wells that monitor ground-water levels and/or ground-water quality were identified during this study. The Monterey County Flood Control and Water Conservation District sampled ground-water quality monthly during the irrigation season to monitor seawater intrusion. Once each year (during the summer), the wells in this network were monitored for chlorides, specific conductance, and nitrates. Additional samples were collected from each well once every 5 years for complete mineral analysis. The California Department of Health Services, the California American Water Company, the U.S. Army Health Service at Ford Ord, and the Monterey Peninsula Water Management District also monitored ground-water quality in wells in the study areas. Well coverage for the ground-water- quality networks was dense in the seawater- intrusion area north of Moss Landing, but sparse in the rest of the study areas. During this study, 54 sections were identified as not monitored for water quality.

Union County Public Schools Action Research: Comparing Early Literacy Interventions Used in Union County Public Schools; Reading Recovery vs. Leveled Literacy Intervention

ERIC Educational Resources Information Center

Harvey, Michael W.

2011-01-01

School systems across the country continuously seek to find ways to increase academic achievement at all grades. Possessing the ability to read is one of the keys to academic success; not being able to presents many challenges. Union County Public Schools and the state of North Carolina expect students leaving their kindergarten year to be able to…

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.

Bexar County Parking Garage Photovoltaic Panels

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

Weir, Golda

2012-01-23

The main objective of the Bexar County Parking Garage Photovoltaic (PV) Panel project is to install a PV System that will promote the use of renewable energy. This project will also help sustain Bexar County ongoing greenhouse gas emissions reduction and energy efficiency goals. The scope of this project includes the installation of a 100-kW system on the top level of a new 236,285 square feet parking garage. The PV system consists of 420 solar panels that covers 7,200 square feet and is tied into the electric-grid. It provides electricity to the office area located within the garage. The estimatedmore » annual electricity production of the PV system is 147,000 kWh per year.« less

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.

Water resources of Spink County, South Dakota

USGS Publications Warehouse

Hamilton, L.J.; Howells, L.W.

1996-01-01

Spink County, an agricultural area of about 1,505 square miles, is in the flat to gently rolling James River lowland of east-central South Dakota. The water resources are characterized by the highly variable flows of the James River and its tributaries and by aquifers both in glacial deposits of sand and gravel, and in sandstone in the bedrock. Glacial aquifers underlie about half of the county, and bedrock aquifers underlie most of the county. The James River is an intermittent prairie stream that drains nearly 8,900 square miles north of Spink County and has an average annual discharge of about 124 cubic feet per second where it enters the county. The discharge is augmented by the flow of Snake and Turtle Creeks, each of which has an average annual flow of about 25 to 30 cubic feet per second. Streamflow is unreliable as a water supply because precipitation, which averages 18.5 inches annually, is erratic both in volume and in distribution, and because the average annual potential evapotranspiration rate is 43 inches. The flow of tributaries generally ceases by summer, and zero flows are common in the James River in fall and winter. Aquifers in glacial drift deposits store nearly 3.3 million acre-feet of fresh to slightly saline water at depths of from near land surface to more than 500 feet below land surface beneath an area of about 760 square miles. Yields of properly developed wells in the more productive aquifers exceed 1,000 gallons per minute in some areas. Withdrawals from the aquifers, mostly for irrigation, totaled about 15,000 acre-feet of water in 1990. Water levels in observation wells generally have declined less than 15 feet over several decades of increasing pumpage for irrigation, but locally have declined nearly 30 feet. Water levels generally rose during the wet period of 1983-86. In Spink County, bedrock aquifers store more than 40 million acre-feet of slightly to moderately saline water at depths of from 80 to about 1,300 feet below land

Estimating the Population Sizes of Men Who Have Sex With Men in US States and Counties Using Data From the American Community Survey

PubMed Central

Bernstein, Kyle T; Sullivan, Patrick S; Purcell, David W; Chesson, Harrell W; Gift, Thomas L; Rosenberg, Eli S

2016-01-01

Background In the United States, male-to-male sexual transmission accounts for the greatest number of new human immunodeficiency virus (HIV) diagnoses and a substantial number of sexually transmitted infections (STI) annually. However, the prevalence and annual incidence of HIV and other STIs among men who have sex with men (MSM) cannot be estimated in local contexts because demographic data on sexual behavior, particularly same-sex behavior, are not routinely collected by large-scale surveys that allow analysis at state, county, or finer levels, such as the US decennial census or the American Community Survey (ACS). Therefore, techniques for indirectly estimating population sizes of MSM are necessary to supply denominators for rates at various geographic levels. Objective Our objectives were to indirectly estimate MSM population sizes at the county level to incorporate recent data estimates and to aggregate county-level estimates to states and core-based statistical areas (CBSAs). Methods We used data from the ACS to calculate a weight for each county in the United States based on its relative proportion of households that were headed by a male who lived with a male partner, compared with the overall proportion among counties at the same level of urbanicity (ie, large central metropolitan county, large fringe metropolitan county, medium/small metropolitan county, or nonmetropolitan county). We then used this weight to adjust the urbanicity-stratified percentage of adult men who had sex with a man in the past year, according to estimates derived from the National Health and Nutrition Examination Survey (NHANES), for each county. We multiplied the weighted percentages by the number of adult men in each county to estimate its number of MSM, summing county-level estimates to create state- and CBSA-level estimates. Finally, we scaled our estimated MSM population sizes to a meta-analytic estimate of the percentage of US MSM in the past 5 years (3.9%). Results We found

Balanced scorecard-based performance evaluation of Chinese county hospitals in underdeveloped areas.

PubMed

Gao, Hongda; Chen, He; Feng, Jun; Qin, Xianjing; Wang, Xuan; Liang, Shenglin; Zhao, Jinmin; Feng, Qiming

2018-05-01

Objective Since the Guangxi government implemented public county hospital reform in 2009, there have been no studies of county hospitals in this underdeveloped area of China. This study aimed to establish an evaluation indicator system for Guangxi county hospitals and to generate recommendations for hospital development and policymaking. Methods A performance evaluation indicator system was developed based on balanced scorecard theory. Opinions were elicited from 25 experts from administrative units, universities and hospitals and the Delphi method was used to modify the performance indicators. The indicator system and the Topsis method were used to evaluate the performance of five county hospitals randomly selected from the same batch of 2015 Guangxi reform pilots. Results There were 4 first-level indicators, 9 second-level indicators and 36 third-level indicators in the final performance evaluation indicator system that showed good consistency, validity and reliability. The performance rank of the hospitals was B > E > A > C > D. Conclusions The performance evaluation indicator system established using the balanced scorecard is practical and scientific. Analysis of the results based on this indicator system identified several factors affecting hospital performance, such as resource utilisation efficiency, medical service price, personnel structure and doctor-patient relationships.

RECENT DEVELOPMENTS IN HYDROWEB DATABASE Water level time series on lakes and reservoirs (Invited)

NASA Astrophysics Data System (ADS)

Cretaux, J.; Arsen, A.; Calmant, S.

2013-12-01

We present the current state of the Hydroweb database as well as developments in progress. It provides offline water level time series on rivers, reservoirs and lakes based on altimetry data from several satellites (Topex/Poseidon, ERS, Jason-1&2, GFO and ENVISAT). The major developments in Hydroweb concerns the development of an operational data centre with automatic acquisition and processing of IGDR data for updating time series in near real time (both for lakes & rivers) and also use of additional remote sensing data, like satellite imagery allowing the calculation of lake's surfaces. A lake data centre is under development at the Legos in coordination with Hydrolare Project leaded by SHI (State Hydrological Institute of the Russian Academy of Science). It will provide the level-surface-volume variations of about 230 lakes and reservoirs, calculated through combination of various satellite images (Modis, Asar, Landsat, Cbers) and radar altimetry (Topex / Poseidon, Jason-1 & 2, GFO, Envisat, ERS2, AltiKa). The final objective is to propose a data centre fully based on remote sensing technique and controlled by in situ infrastructure for the Global Terrestrial Network for Lakes (GTN-L) under the supervision of WMO and GCOS. In a longer perspective, the Hydroweb database will integrate data from future missions (Jason-3, Jason-CS, Sentinel-3A/B) and finally will serve for the design of the SWOT mission. The products of hydroweb will be used as input data for simulation of the SWOT products (water height and surface variations of lakes and rivers). In the future, the SWOT mission will allow to monitor on a sub-monthly basis the worldwide lakes and reservoirs bigger than 250 * 250 m and Hydroweb will host water level and extent products from this

76 FR 30152 - East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of...

Federal Register 2010, 2011, 2012, 2013, 2014

2011-05-24

... Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of Settlement AGENCY: Environmental... Calloway County Middle School Mercury Spill Site located in Murray, Calloway County, Kentucky for... County [[Page 30153

Water resources of Indiana County, Pennsylvania

USGS Publications Warehouse

Williams, D.R.; McElroy, T.A.

1997-01-01

Indiana County, west-central Pennsylvania, is a major producer of coal and natural gas. Water managers and residents are concerned about the effects of mining and natural gas exploration on the surface- and ground-water resources of the county. This study assesses the quality and quantity of water in Indiana County. Ground- and surface-water sources are used for public supplies that serve 61 percent of the total population of the county. The remaining 39 percent of the population live in rural areas and rely on cisterns and wells and springs that tap shallow aquifers. Most of the county is underlain by rocks of Middle to Upper Pennsylvanian age. From oldest to youngest, they are the Allegheny Group, the Glenshaw Formation, the Casselman Formation, and the Monongahela Group. Almost all the coals mined are in the Allegheny Group and the Monongahela Group. Ground water in Indiana County flows through fractures in the rock. The size and extent of the fractures, which are controlled by lithology, topography, and structure, determine the sustained yield of wells. Topography has a significant control over the yields of wells sited in the Allegheny Group. Properly sited wells in the Glenshaw Formation may have yields adequate for municipal, commercial, or industrial uses. The Casselman Formation yields adequate amounts of water for domestic use. Yield of the Monongahela Group is small, and the water may not be of suitable quality for most uses. Yields of hilltop wells may be marginal, but valley wells may yield sufficient amounts for large-volume users. Data on the other rock units are sparse to nonexistent. Few wells in the county yield more than 40 gallons per minute. Most of the wells that do are in valleys where alluvial deposits are extensive enough to be mapable. Short-term water-level fluctuations are variable from well to well. Seasonal water-level fluctuations are controlled by time of year and amount of precipitation. The quality of water from the Casselman

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

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…

Geologic map and map database of parts of Marin, San Francisco, Alameda, Contra Costa, and Sonoma counties, California

USGS Publications Warehouse

Blake, M.C.; Jones, D.L.; Graymer, R.W.; digital database by Soule, Adam

2000-01-01

This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (mageo.txt, mageo.pdf, or mageo.ps), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:62,500 or smaller general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (mageo.txt, mageo.pdf, or mageo.ps), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:62,500 or smaller.

Mapping forest types in Worcester County, Maryland, using LANDSAT data

NASA Technical Reports Server (NTRS)

Burtis, J., Jr.; Witt, R. G.

1981-01-01

The feasibility of mapping Level 2 forest cover types for a county-sized area on Maryland's Eastern Shore was demonstrated. A Level 1 land use/land cover classification was carried out for all of Worcester County as well. A June 1978 LANDSAT scene was utilized in a classification which employed two software packages on different computers (IDIMS on an HP 3000 and ASTEP-II on a Univac 1108). A twelve category classification scheme was devised for the study area. Resulting products include black and white line printer maps, final color coded classification maps, digitally enhanced color imagery and tabulated acreage statistics for all land use and land cover types.

The Economic Impact of Schenectady County Community College on Schenectady County, 1981-82.

ERIC Educational Resources Information Center

Chestnut, Erma Ruth

This report on the economic impact of Schenectady County Community College (SCCC) uses a modification of the Caffrey and Isaacs model to assess SCCC-related local business volume, SCCC costs and benefits to the Schenectady County government, and the likely impact on the county if SCCC did not exist. Part I provides background to the study,…

The North American Forest Database: going beyond national-level forest resource assessment statistics.

PubMed

Smith, W Brad; Cuenca Lara, Rubí Angélica; Delgado Caballero, Carina Edith; Godínez Valdivia, Carlos Isaías; Kapron, Joseph S; Leyva Reyes, Juan Carlos; Meneses Tovar, Carmen Lourdes; Miles, Patrick D; Oswalt, Sonja N; Ramírez Salgado, Mayra; Song, Xilong Alex; Stinson, Graham; Villela Gaytán, Sergio Armando

2018-05-21

Forests cannot be managed sustainably without reliable data to inform decisions. National Forest Inventories (NFI) tend to report national statistics, with sub-national stratification based on domestic ecological classification systems. It is becoming increasingly important to be able to report statistics on ecosystems that span international borders, as global change and globalization expand stakeholders' spheres of concern. The state of a transnational ecosystem can only be properly assessed by examining the entire ecosystem. In global forest resource assessments, it may be useful to break national statistics down by ecosystem, especially for large countries. The Inventory and Monitoring Working Group (IMWG) of the North American Forest Commission (NAFC) has begun developing a harmonized North American Forest Database (NAFD) for managing forest inventory data, enabling consistent, continental-scale forest assessment supporting ecosystem-level reporting and relational queries. The first iteration of the database contains data describing 1.9 billion ha, including 677.5 million ha of forest. Data harmonization is made challenging by the existence of definitions and methodologies tailored to suit national circumstances, emerging from each country's professional forestry development. This paper reports the methods used to synchronize three national forest inventories, starting with a small suite of variables and attributes.

Morris County Improvement Authority, Morris County, New Jersey Renewable Energy Initiative

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

Bonanni, John

2013-05-01

The Morris County Improvement Authority (Authority), a public body corporate and politic of the State of New Jersey and created and controlled by the County, at the direction of the County and through the Program guaranteed by the County, financed 3.2 MW of solar projects (Solar Projects) at fifteen (15) sites for seven (7) local government units (Local Units) in and including the County. The Program uses a Power Purchase Agreement (PPA) structure, where the Solar Developer constructs, operates and maintains all of the Solar Projects, for the benefit of the Local Units and the Authority, for the maximum Statemore » law allowable PPA period of fifteen (15) years. Although all fifteen (15) sites were funded by the Authority, only the Mennen Arena site was considered for the purposes of the required local match funding for this grant. Specifically at the Mennen Arena site, the Authority financed 1.6 MW of solar panels. On October 18, 2013, the DOE Grant was drawn down following completion of the necessary application documents and final execution of an agreement memorializing the contemplated transaction by the Local Units, the County, The Authority and the solar developer. The proceeds of the DOE Grant were then applied to reduce the PPA price to all Local Units across the program and increase the savings from approximately 1/3 to almost half off the existing and forecasted utility pricing over the fifteen (15) year term, without adversely affecting all of the other benefits. With the application of the rate buy down, the price of electricity purchased under the PPA dropped from 10.9 to 7.7 cents/kWh. This made acquisition of renewable energy much more affordable for the Local Units, and it enhanced the success of the program, which will encourage other counties and local units to develop similar programs.« less

Water-quality and ground-water-level trends, 1990-99, and data collected from 1995 through 1999, East Mountain area, Bernalillo County, central New Mexico

USGS Publications Warehouse

Rankin, D.R.

2000-01-01

Bernalillo County officials recognize the importance of monitoring water quality and ground-water levels in rapidly developing areas. For this reason, water-quality and ground-water- level data were collected from 87 wells, 3 springs, and the Ojo Grande Acequia in the east mountain area of Bernalillo County between January 1990 and June 1999. The water samples were analyzed for selected nutrient species; total organic carbon; major dissolved constituents; methylene blue active substances; and dissolved arsenic. Analytical results were used to compute hardness, sodium adsorption ratio, and dissolved solids. Specific conductance, pH, air and water temperature, alkalinity, and dissolved oxygen were measured in the field at the time of sample collection. Ground-water levels were measured at the time of sample collection. From January 1990 through June 1993, water-quality and ground- water-level data were collected monthly from an initial set of 20 wells; these data were published in a 1995 report. During 1995, water samples and ground-water-level data were collected and analyzed from the initial set of 20 wells and from an additional 31 wells, 2 springs, and the Ojo Grande Acequia; these data were published in a 1996 report. Additional water-quality and ground-water-level data have been collected from sites in the east mountain area: 34 wells and the acequia during 1997, 14 wells and 1 spring during 1998, and 6 wells during 1999. Water-quality and ground- water-level data collected in the east mountain area during 1995 through 1999 are presented in tables. In addition, temporal trends for ground-water levels, concentrations of total and dissolved nitrite plus nitrate, concentrations of dissolved chloride, and specific conductance are presented for 20 selected wells in water-quality and water- level hydrographs.

Rainfall and water-level data for a wetland area near Millington, Shelby County, Tennessee, October 1996 through September 1997

USGS Publications Warehouse

Knight, R.R.

1998-01-01

Rainfall amounts and water levels at a degraded wetland area near Millington, Shelby County, Tennessee, were collected to assist the Tennessee Department of Transportation with a program designed to restore the wetland to a more natural condition. The site is located along a channelized reach of Big Creek Drainage Canal, east of State Route 240, and near the southeastern boundary of the Naval Support Activity Memphis, Millington. Rainfall amounts were recorded at 5-minute intervals using a tipping-bucket rain gage from October 1, 1996 through September 30, 1997. Total rainfall for this period was 70.16 inches. In general, water levels at the wetland were above or near the ground surface during the 6-month period from the first of January through June 1997. For the remainder of the year, water levels generally subsided to several feet below land surface. However, some locations within the wetland were wet or highly saturated year round.

Water resources of Lincoln County, Wyoming

USGS Publications Warehouse

Eddy-Miller, C. A.; Plafcan, Maria; Clark, M.L.

1996-01-01

Streamflow and ground-water quantity and quality data were collected and analyzed, 1993 through 1995, and historical data were compiled to summarize the water resources of Lincoln County.Deposits of Quaternary age, in the valleys of the Bear River and Salt River, had the most well development of any geologic unit in the county.The most productive alluvial aquifers were located in the Bear River Valley and Star Valley with pumping wells discharging up to 2,000 gallons perminute. The ground-water connection between the Overthrust Belt and the Green River Basin is restricted as a result of the folding and faulting that occurred during middle Mesozoic and early Cenozoic time. Total water use in Lincoln County during 1993 was estimated to be 405,000 million gallons. Surface water was the source for 98 percent of the water used in the county. Hydroelectric power generation and irrigation used the largest amounts of water. Dissolved-solids concentrations varied greatly for water samples collected from 35 geologic units inventoried. Dissolved-solids concentrations in all water samples from the LaneyMember of the Green River Formation were greater than the Secondary Maximum Contaminant Level of 500 milligrams per liter established by the U.S. Environmental Protection Agency. Statistical analysis of data collected from wells in the Star Valley monitoring study indicated there was no significant difference between data collected during different seasons, and no correlation between the nitrate concentrations and depth to ground water.

Investigation of Water Shortage in Yunlin County, Taiwan

NASA Astrophysics Data System (ADS)

Huang, S.; Wen, J.; Hsu, C.; Lee, J.

2011-12-01

Yunlin County is one of the most important agricultural production counties in Taiwan. The longest river, the Zhuoshui River, is the northern boundary of Yunlin and supplies the greatest part of surface water resources to irrigation areas. The demands of domestic water, industrial water, and part of the irrigation water have been satisfied by groundwater pumping in the past forty years. Groundwater overpumping has caused the water level to decline significantly and has induced land subsidence in this area for more than thirty years. In 2010, the maximum subsidence rate was 6.4 cm/year and the continuous subsidence area (more than 3 cm/year subsidence rate) exceeded 267 km2. On the whole, water resources have become severely imbalanced in Yunlin County. This study aims to investigate the lack of water resources in Yunlin County and provides strategies to rectify the situation. In order to predict the water resource conditions for the future, the climate change issue was taken into account. Then, the water imbalance was quantified. The strategies for improving the water imbalance, which include recharging groundwater, substituting groundwater, and increasing the water usage efficiency are revealed.

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.

The Best and Worst of Dispositions: An Analysis of 30 Years of Juvenile Justice Data in La Porte County, Indiana

ERIC Educational Resources Information Center

Kuhn, Jonathan R.; Marsh, Shawn C.; Cotman, Chip

2017-01-01

Background: Both observed studies and experimental studies have identified programs, practices, and treatments that are considered effective, ineffective, or harmful for juvenile offenders. Objective: Identify which dispositions were best and worse for each offense in the La Porte County, Indiana, juvenile justice database of over 8500 juvenile…

Transport of hydraulic fracturing waste from Pennsylvania wells: A county-level analysis of road use and associated road repair costs

USGS Publications Warehouse

Patterson, Lauren A.; Maloney, Kelly O.

2016-01-01

Pennsylvania’s rapid unconventional oil and gas (UOG) development—from a single well in 2004 to more than 6700 wells in 2013—has dramatically increased UOG waste transport by heavy trucks. This study quantified the amount of UOG waste and the distance it traveled between wells and disposal facilities on each type of road in each county between July 2010 and December 2013. In addition, the study estimated the associated financial costs to each county’s road infrastructure over that period. We found that UOG wells produced a median wastewater volume of 1294 m3 and a median of 89,267 kg of solid waste. The median number of waste-transport truck trips per well was 122. UOG wells existed in 38 Pennsylvania counties, but we estimated trucks transporting well waste traveled through 132 counties, including counties in West Virginia, Ohio, and New York. Median travel distance varied by disposal type, from 106 km to centralized treatment facilities up to 237 km to injection wells. Local roads experienced the greatest amount of truck traffic and associated costs ($1.1–6.5 M) and interstates, the least ($0.3–1.6 M). Counties with oil and gas development experienced the most truck traffic and incurred the highest associated roadway costs. However, many counties outside the active development area also incurred roadway repair costs, highlighting the extension of UOG development’s spatial footprint beyond the active development area. An online data visualization tool is available here: www.nicholasinstitute.duke.edu/transportation-of-hydraulic-fracturing-waste.

Transforming data into action: the Sonoma County Human Services Department.

PubMed

Harrison, Lindsay

2012-01-01

In order to centralize data-based initiatives, the Director of the Department worked with the Board of Supervisors and the executive team to develop a new Planning, Research, and Evaluation (PRE) division. PRE is establishing rules for data-based decision making and consolidating data collection to ensure quality and consistency. It aims to target resources toward visionary, pro-active program planning and implementation, and inform the public about the role of Human Services in creating a healthy, safe and productive environment. PRE staff spent several months studying the job functions of staff, to determine how they use information to inform practice, consulting other counties about their experiences. The PRE team developed Datascript, outlining two agency aims: (a) foster a decision-making environment that values and successfully uses empirical evidence for strategic change, and (b) manage the role and image of the Human Services Department in the external environment. The case study describes action steps developed to achieve each aim. Copyright © Taylor & Francis Group, LLC

The MAR databases: development and implementation of databases specific for marine metagenomics.

PubMed

Klemetsen, Terje; Raknes, Inge A; Fu, Juan; Agafonov, Alexander; Balasundaram, Sudhagar V; Tartari, Giacomo; Robertsen, Espen; Willassen, Nils P

2018-01-04

We introduce the marine databases; MarRef, MarDB and MarCat (https://mmp.sfb.uit.no/databases/), which are publicly available resources that promote marine research and innovation. These data resources, which have been implemented in the Marine Metagenomics Portal (MMP) (https://mmp.sfb.uit.no/), are collections of richly annotated and manually curated contextual (metadata) and sequence databases representing three tiers of accuracy. While MarRef is a database for completely sequenced marine prokaryotic genomes, which represent a marine prokaryote reference genome database, MarDB includes all incomplete sequenced prokaryotic genomes regardless level of completeness. The last database, MarCat, represents a gene (protein) catalog of uncultivable (and cultivable) marine genes and proteins derived from marine metagenomics samples. The first versions of MarRef and MarDB contain 612 and 3726 records, respectively. Each record is built up of 106 metadata fields including attributes for sampling, sequencing, assembly and annotation in addition to the organism and taxonomic information. Currently, MarCat contains 1227 records with 55 metadata fields. Ontologies and controlled vocabularies are used in the contextual databases to enhance consistency. The user-friendly web interface lets the visitors browse, filter and search in the contextual databases and perform BLAST searches against the corresponding sequence databases. All contextual and sequence databases are freely accessible and downloadable from https://s1.sfb.uit.no/public/mar/. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Population Well-Being Measures Help Explain Geographic Disparities In Life Expectancy At The County Level

PubMed Central

Arora, Anita; Spatz, Erica; Herrin, Jeph; Riley, Carley; Roy, Brita; Kell, Kenneth; Coberley, Carter; Rula, Elizabeth; Krumholz, Harlan M.

2016-01-01

Geographic disparities in life expectancy are substantial and not fully explained by differences in race and socioeconomic status. To develop policies that address these inequalities, it is essential to identify other factors that account for this variation. In this study we investigated whether population well-being—a comprehensive measure of physical, mental, and social health—helps explain geographic variation in life expectancy. At the county level, we found that for every 1-standarddeviation (4.2-point) increase in the well-being score, life expectancy was 1.9 years higher for females and 2.6 years higher for males. Life expectancy and well-being remained positively associated, even after race, poverty, and education were controlled for. In addition, well-being partially mediated the established associations of race, poverty, and education with life expectancy. These findings highlight well-being as an important metric of a population’s health and longevity and as a promising focus for intervention. PMID:27834249

The San Diego East County school shootings: a qualitative study of community-level post-traumatic stress.

PubMed

Palinkas, Lawrence A; Prussing, Erica; Reznik, Vivian M; Landsverk, John A

2004-01-01

Within one month (March 2001), two separate incidents of school shootings occurred at two different high schools within the same school district in San Diego's East County. To examine community-wide expressions of post-traumatic distress resulting from the shootings that may or may not fulfill DSM-IV criteria for post-traumatic stress disorder (PTSD), but which might interfere with treatment and the prevention of youth violence. A qualitative study was undertaken using Rapid Assessment Procedures (RAP) in four East San Diego County communities over a six-month period following the two events. Semi-structured interviews were conducted with 85 community residents identified through a maximum variation sampling technique. Interview transcripts were analyzed by coding consensus, co-occurrence, and comparison, using text analysis software. Three community-wide patterns of response to the two events were identified: (1) 52.9% of respondents reported intrusive reminders of the trauma associated with intense media coverage and subsequent rumors, hoaxes, and threats of additional acts of school violence; (2) 44.7% reported efforts to avoid thoughts, feelings, conversations, or places (i.e., schools) associated with the events; negative assessment of media coverage; and belief that such events in general cannot be prevented; and (3) 30.6% reported anger, hyper-vigilance, and other forms of increased arousal. Twenty-three (27.1%) respondents reported symptoms of fear, anxiety, depression, drug use, and psychosomatic symptoms in themselves or others. School shootings can precipitate symptoms of post-traumatic stress disorder at the community level. Such symptoms hinder the treatment of individuals with PTSD and the implementation of effective prevention strategies and programs.

Associations Between County Wealth, Health and Social Services Spending, and Health Outcomes.

PubMed

McCullough, J Mac; Leider, Jonathon P

2017-11-01

Each year, the County Health Rankings rate the health outcomes of each county in the U.S. A common refrain is that poor counties perform worse than wealthier ones. This article examines that assumption and specifically analyzes characteristics of counties that have performed better in terms of health outcomes than their wealth alone would suggest. Data from the 2013 County Health Rankings were used, as were 2012 financial and demographic information collected by the U.S. Census Bureau. A logistic model was constructed to examine the odds of a county "overperforming" in the rankings relative to community wealth. Analyses were performed in 2016. Communities that were wealthier performed better on the rankings. However, more than 800 of 3,141 counties overperformed by ranking in a better health outcomes quartile than their county's wealth alone would suggest. Regression analyses found that for each additional percentage point of total public spending that was allocated toward community health care and public health, the odds of being an overperformer increased by 3.7%. Community wealth correlates with health, but not always. Population health outcomes in hundreds of counties overperform what would be expected given community wealth alone. These counties tend to invest more in community health care and public health spending and other social services. Although the level of a community's wealth is outside the control of practitioners, shifting the proportion of spending to certain social services may positively impact population health. Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Quantifying the synergistic effect of the precipitation and land use on sandy desertification at county level: a case study in Naiman Banner, Northern China.

PubMed

Xiaodong, Ge; Jinren, Ni; Zhenshan, Li; Ronggui, Hu; Xin, Ming; Qing, Ye

2013-07-15

Assessing the driving forces of sandy desertification is fundamental and important for its control. It has been widely accepted that both climatic conditions and land use have great impact on sandy desertification in northern China. However, the relative role and synergistic effect of each driving force of sandy desertification are still not clear. In this paper, an indicator named as SI was defined to represent the integrated probability of sandy desertification caused by land use. A quantitative method was developed for characterizing the relative roles of annual precipitation and land use to sandy desertification in both spatial and temporal dimensions at county level. Results showed that, at county level, land use was the main cause of sandy desertification for Naiman Banner since 1987-2009. In the case of spatial dimension, the different combination of land use types decided the distribution of sandy desertification probability and finally decided the spatial pattern of bared sand land. In the case of temporal dimension, the synergistic effect of land use and precipitation highly influenced the spatial distribution of sandy desertification. Copyright © 2013 Elsevier Ltd. All rights reserved.

Vitelliform dystrophies: Prevalence in Olmsted County, Minnesota, United States.

PubMed

Dalvin, Lauren A; Pulido, Jose S; Marmorstein, Alan D

2017-01-01

Vitelliform dystrophies are a group of macular degenerative diseases characterized by round yellow lesions in the macula. While often idiopathic, vitelliform dystrophies include inherited maculopathies such as Best disease and some cases of pattern dystrophy. The prevalence of vitelliform dystrophies in the United States has not been reported. This study examined the prevalence of vitelliform dystrophies in Olmsted County, Minnesota. The Rochester Epidemiology Project database was used to identify all cases of vitelliform or pattern dystrophy in Olmsted County from 1 January 2000-31 December 2014. Overall, 27 patients had true vitelliform lesions, indicating a prevalence of 1 in 5500. Of these, two had genetically confirmed Best disease, and an additional five to seven carried a diagnosis of Best disease, which chart reviews confirmed as probable cases; 18-20 patients had adult-onset vitelliform macular dystrophy. The prevalence of Best disease was 1 in 16,500 to 1 in 21,000. Adult-onset vitelliform macular dystrophy was found in 1 in 7400 to 1 in 8200. Vitelliform dystrophies affect 1 in 5500 individuals in Olmsted County. While the values in this study provide good estimates for the prevalence of Best disease versus adult-onset vitelliform macular dystrophy, the results are limited by dependence on diagnoses made by other ophthalmologists and underutilization of genetic testing. Thus, these diseases should be thought of as at least as prevalent as reported here. As therapies for Best disease and other macular degenerative diseases are quickly becoming a reality, genetic testing should be employed as the gold standard for diagnosis of these diseases.

Ground-water resources data for Warren County, Pennsylvania

USGS Publications Warehouse

Moore, M.E.; Buckwalter, T.F.

1996-01-01

This report presents lithologic, hydrologic, and chemical data collected during a study of the ground-water resources of Warren County, Pa. The study was conducted during 1983-90 by the U.S. Geological Survey, in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey, and the Warren County Commissioners. The data include information on aquifers, water levels, and yields for about 600 wells, and records for 57 springs. Descriptions of aquifer lithology and chemical analyses of water samples collected at well and spring sites are provided. Chemical analyses include major cations, anions, nutrients, and selected trace elements. Also included are data on concentrations of volatile organic compounds, dissolved methane, ethane, propane, and total organic carbon. The report presents a summary of the source and significance of selected chemical constituents in ground water, a listing of Federal drinking water standards, and information on selected methods of removing or reducing concentrations of undesirable chemical constituents from water. Daily ground- water levels for five observation wells are tabulated. Maps of Warren County show the location of townships, boroughs, and 7-1/2-minute quadrangles. Data-collection sites are shown on 18 figures. A glossary is provided for readers unfamiliar with ground-water terminology.

Database Dictionary for Ethiopian National Ground-Water DAtabase (ENGDA) Data Fields

USGS Publications Warehouse

Kuniansky, Eve L.; Litke, David W.; Tucci, Patrick

2007-01-01

Introduction This document describes the data fields that are used for both field forms and the Ethiopian National Ground-water Database (ENGDA) tables associated with information stored about production wells, springs, test holes, test wells, and water level or water-quality observation wells. Several different words are used in this database dictionary and in the ENGDA database to describe a narrow shaft constructed in the ground. The most general term is borehole, which is applicable to any type of hole. A well is a borehole specifically constructed to extract water from the ground; however, for this data dictionary and for the ENGDA database, the words well and borehole are used interchangeably. A production well is defined as any well used for water supply and includes hand-dug wells, small-diameter bored wells equipped with hand pumps, or large-diameter bored wells equipped with large-capacity motorized pumps. Test holes are borings made to collect information about the subsurface with continuous core or non-continuous core and/or where geophysical logs are collected. Test holes are not converted into wells. A test well is a well constructed for hydraulic testing of an aquifer in order to plan a larger ground-water production system. A water-level or water-quality observation well is a well that is used to collect information about an aquifer and not used for water supply. A spring is any naturally flowing, local, ground-water discharge site. The database dictionary is designed to help define all fields on both field data collection forms (provided in attachment 2 of this report) and for the ENGDA software screen entry forms (described in Litke, 2007). The data entered into each screen entry field are stored in relational database tables within the computer database. The organization of the database dictionary is designed based on field data collection and the field forms, because this is what the majority of people will use. After each field, however, the

[Risk assessments and control strategies of plague in five key surveillance counties, Zhejiang province].

PubMed

Shi, Guoxiang; Ju, Cheng; Zhang, Rong; Zhang, Zheng; Sun, Jimin; Wang, Miaoruo; Zhang, Xiaohe; Ye, Xianming; Zhu, Zhihong; Xing, Jianguang; Liao, Xiaowei; Chen, Zhiping

2015-10-01

evaluation five counties (cities) belong to the plague had a lower risk areas, according to the level of risk score (Pf) Longquan city and Yiwu (Pf was 0.314, 0.292, respectively) plague risk were higher than three other regions (Pf were all 0.292). The main host and media were lower in five key plague surveillance counties (cities) of Zhejiang province; The result of Borda count method and Delphi approach for risk assessment indicated that endogenous plague recrudescence was at lower level, but Longquan city and Yiwu city risk were higher than other counties (cities).

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

Geology and ground-water resources of Hale County, Texas

USGS Publications Warehouse

Cronin, J.G.; Wells, Lloyd C.

1963-01-01

It is estimated that in 1955 about 39 million acre-feet of water was in storage in the Ogallala formation in Hale County; however, only about 16 million is theoretically available to wells, and a somewhat smaller amount is practically available. About 3 million acre-feet was removed from storage during 1938-55. Water levels in wells have declined more or less steadily since 1938, and it is apparent that the ground-water resources of the county are insufficient to support large-scale perennial irrigation such as that of 1955.