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Variation in Drug Prices at Pharmacies: Are Prices Higher in Poorer Areas?

PubMed Central

Gellad, Walid F; Choudhry, Niteesh K; Friedberg, Mark W; Brookhart, M Alan; Haas, Jennifer S; Shrank, William H

2009-01-01

Objective To determine whether retail prices for prescription drugs are higher in poorer areas. Data Sources The MyFloridarx.com website, which provides retail prescription prices at Florida pharmacies, and median ZIP code income from the 2000 Census. Study Design We compared mean pharmacy prices for each of the four study drugs across ZIP code income groups. Pharmacies were classified as either chain pharmacies or independent pharmacies. Data Collection Prices were downloaded in November 2006. Principal Findings Across the four study drugs, mean prices were highest in the poorest ZIP codes: 9 percent above the statewide average. Independent pharmacies in the poorest ZIP codes charged the highest mean prices. Conclusions Retail prescription prices appear to be higher in poorer ZIP codes of Florida. PMID:19178584

Developmental Origins, Epigenetics, and Equity: Moving Upstream.

PubMed

Wallack, Lawrence; Thornburg, Kent

2016-05-01

The Developmental Origins of Health and Disease and the related science of epigenetics redefines the meaning of what constitutes upstream approaches to significant social and public health problems. An increasingly frequent concept being expressed is "When it comes to your health, your zip code may be more important than your genetic code". Epigenetics explains how the environment-our zip code-literally gets under our skin, creates biological changes that increase our vulnerability for disease, and even children's prospects for social success, over their life course and into future generations. This science requires us to rethink where disease comes from and the best way to promote health. It identifies the most fundamental social equity issue in our society: that initial social and biological disadvantage, established even prior to birth, and linked to the social experience of prior generations, is made worse by adverse environments throughout the life course. But at the same time, it provides hope because it tells us that a concerted focus on using public policy to improve our social, physical, and economic environments can ultimately change our biology and the trajectory of health and social success into future generations.

Data Bank 5 - Origin and Destination Survey City/Airport Nomenclature : fourth quarter : [2006-01

DOT National Transportation Integrated Search

2006-01-01

This CD presents the letter alphabetic codes, numeric codes, full name spelling (up to 30 characters), abbreviated name spelling (up to 20 characters), and geographic coordinates for all cities in flight itineraries reported in the Passenger Origin a...

Light Infantry in the Defense of Urban Europe.

DTIC Science & Technology

1986-12-14

if applicable) 6c. ADDRESS (City, State, and ZIP Code ) 7b. ADDRESS (City, State, and ZIP Code ) Fort Leavenworth, Kansas 66027-6900 Ba. NAME OF FUNDING...SPONSORING 8b. OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION (If applicable) Sc. ADDRESS (City, State, and ZIP Code ) 10...PAGE COUNT wo - EFROM TO144 16. SUPPLEMENTARY NOTATION 17. COSATI CODES A*SUBJECT TERMS (Continue on reverse if necessary and identify by block

Force Identification from Structural Response

DTIC Science & Technology

1999-12-01

STUDENT AT (If applicable) AFIT/CIA Univ of New Mexico A 6c. ADDRESS (City, State, and ZIP Code ) 7b. ADDRESS (City, State, and ZIP Code ) Wright...ADDRESS (City, State, and ZIP Code ) 10. SOURCE OF FUNDING NUMBERS PROGRAM PROJECT TASK WORK UNIT ELEMENT NO. NO. NO. ACCESSION NO. 11. TITLE (h,,clude...FOR PUBLIC RELEASE IAW AFR 190-1 ERNEST A. HAYGOOD, 1st Lt, USAF Executive Officer, Civilian Institution Programs 17. COSATI CODES 18. SUBJECT TERMS

77 FR 12764 - POSTNET Barcode Discontinuation

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-02

... routing code appears in the lower right corner. * * * * * [Delete current 5.6, DPBC Numeric Equivalent, in... correct ZIP Code, ZIP+4 code, or numeric equivalent to the delivery point routing code and which meets... equivalent to the delivery point routing code is formed by [[Page 12766

Relay selection in energy harvesting cooperative networks with rateless codes

NASA Astrophysics Data System (ADS)

Zhu, Kaiyan; Wang, Fei

2018-04-01

This paper investigates the relay selection in energy harvesting cooperative networks, where the relays harvests energy from the radio frequency (RF) signals transmitted by a source, and the optimal relay is selected and uses the harvested energy to assist the information transmission from the source to its destination. Both source and the selected relay transmit information using rateless code, which allows the destination recover original information after collecting codes bits marginally surpass the entropy of original information. In order to improve transmission performance and efficiently utilize the harvested power, the optimal relay is selected. The optimization problem are formulated to maximize the achievable information rates of the system. Simulation results demonstrate that our proposed relay selection scheme outperform other strategies.

Employment and residential characteristics in relation to automated external defibrillator locations

PubMed Central

Griffis, Heather M.; Band, Roger A; Ruther, Matthew; Harhay, Michael; Asch, David A.; Hershey, John C.; Hill, Shawndra; Nadkarni, Lindsay; Kilaru, Austin; Branas, Charles C.; Shofer, Frances; Nichol, Graham; Becker, Lance B.; Merchant, Raina M.

2015-01-01

Background Survival from out-of-hospital cardiac arrest (OHCA) is generally poor and varies by geography. Variability in automated external defibrillator (AED) locations may be a contributing factor. To inform optimal placement of AEDs, we investigated AED access in a major US city relative to demographic and employment characteristics. Methods and Results This was a retrospective analysis of a Philadelphia AED registry (2,559 total AEDs). The 2010 US Census and the Local Employment Dynamics (LED) database by ZIP code was used. AED access was calculated as the weighted areal percentage of each ZIP code covered by a 400 meter radius around each AED. Of 47 ZIP codes, only 9%(4) were high AED service areas. In 26%(12) of ZIP codes, less than 35% of the area was covered by AED service areas. Higher AED access ZIP codes were more likely to have a moderately populated residential area (p=0.032), higher median household income (p=0.006), and higher paying jobs (p=008). Conclusions The locations of AEDs vary across specific ZIP codes; select residential and employment characteristics explain some variation. Further work on evaluating OHCA locations, AED use and availability, and OHCA outcomes could inform AED placement policies. Optimizing the placement of AEDs through this work may help to increase survival. PMID:26856232

Tobacco outlet density and converted versus native non-daily cigarette use in a national US sample

PubMed Central

Kirchner, Thomas R; Anesetti-Rothermel, Andrew; Bennett, Morgane; Gao, Hong; Carlos, Heather; Scheuermann, Taneisha S; Reitzel, Lorraine R; Ahluwalia, Jasjit S

2017-01-01

Objective Investigate whether non-daily smokers’ (NDS) cigarette price and purchase preferences, recent cessation attempts, and current intentions to quit are associated with the density of the retail cigarette product landscape surrounding their residential address. Participants Cross-sectional assessment of N=904 converted NDS (CNDS). who previously smoked every day, and N=297 native NDS (NNDS) who only smoked non-daily, drawn from a national panel. Outcome measures Kernel density estimation was used to generate a nationwide probability surface of tobacco outlets linked to participants’ residential ZIP code. Hierarchically nested log-linear models were compared to evaluate associations between outlet density, non-daily use patterns, price sensitivity and quit intentions. Results Overall, NDS in ZIP codes with greater outlet density were less likely than NDS in ZIP codes with lower outlet density to hold 6-month quit intentions when they also reported that price affected use patterns (G2=66.1, p<0.001) and purchase locations (G2=85.2, p<0.001). CNDS were more likely than NNDS to reside in ZIP codes with higher outlet density (G2=322.0, p<0.001). Compared with CNDS in ZIP codes with lower outlet density, CNDS in high-density ZIP codes were more likely to report that price influenced the amount they smoke (G2=43.9, p<0.001), and were more likely to look for better prices (G2=59.3, p<0.001). NDS residing in high-density ZIP codes were not more likely to report that price affected their cigarette brand choice compared with those in ZIP codes with lower density. Conclusions This paper provides initial evidence that the point-of-sale cigarette environment may be differentially associated with the maintenance of CNDS versus NNDS patterns. Future research should investigate how tobacco control efforts can be optimised to both promote cessation and curb the rising tide of non-daily smoking in the USA. PMID:26969172

Where Do Freestanding Emergency Departments Choose to Locate? A National Inventory and Geographic Analysis in Three States.

PubMed

Schuur, Jeremiah D; Baker, Olesya; Freshman, Jaclyn; Wilson, Michael; Cutler, David M

2017-04-01

We determine the number and location of freestanding emergency departments (EDs) across the United States and determine the population characteristics of areas where freestanding EDs are located. We conducted a systematic inventory of US freestanding EDs. For the 3 states with the highest number of freestanding EDs, we linked demographic, insurance, and health services data, using the 5-digit ZIP code corresponding to the freestanding ED's location. To create a comparison nonfreestanding ED group, we matched 187 freestanding EDs to 1,048 nonfreestanding ED ZIP codes on land and population within state. We compared differences in demographic, insurance, and health services factors between matched ZIP codes with and without freestanding EDs, using univariate regressions with weights. We identified 360 freestanding EDs located in 30 states; 54.2% of freestanding EDs were hospital satellites, 36.6% were independent, and 9.2% were not classifiable. The 3 states with the highest number of freestanding EDs accounted for 66% of all freestanding EDs: Texas (181), Ohio (34), and Colorado (24). Across all 3 states, freestanding EDs were located in ZIP codes that had higher incomes and a lower proportion of the population with Medicaid. In Texas and Ohio, freestanding EDs were located in ZIP codes with a higher proportion of the population with private insurance. In Texas, freestanding EDs were located in ZIP codes that had fewer Hispanics, had a greater number of hospital-based EDs and physician offices, and had more physician visits and medical spending per year than ZIP codes without a freestanding ED. In Ohio, freestanding EDs were located in ZIP codes with fewer hospital-based EDs. In Texas, Ohio, and Colorado, freestanding EDs were located in areas with a better payer mix. The location of freestanding EDs in relation to other health care facilities and use and spending on health care varied between states. Copyright © 2016 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Poverty, Transportation Access, and Medication Nonadherence.

PubMed

Hensley, Caroline; Heaton, Pamela C; Kahn, Robert S; Luder, Heidi R; Frede, Stacey M; Beck, Andrew F

2018-04-01

Variability in primary medication nonadherence (PMN), or failure to fill a new prescription, influences disparities and widens equity gaps. This study sought to evaluate PMN across 1 metropolitan area and assess relationships with underlying zip code-level measures. This was a retrospective observational study using data extracted from 1 regional community pharmacy market-share leader (October 2016-April 2017). Data included patient age, sex, payer, medication type, and home zip code. This zip code was connected to US census measures enumerating poverty and vehicle access, which were treated as continuous variables and within quintiles. The prescription-level outcome was whether prescriptions were not filled within 30 days of reaching the pharmacy. The ecological-level outcome was PMN calculated for each zip code (numerator, unfilled prescriptions; denominator, received prescriptions). There were 213 719 prescriptions received by 54 included pharmacies; 12.2% were unfilled. Older children, boys, and those with public insurance were more likely to have prescriptions not filled. Prescriptions originating from the highest poverty quintile were significantly more likely to not be filled than those from the lowest poverty quintile (adjusted odds ratio 1.60; 95% confidence interval 1.52-1.69); a similar pattern was noted for vehicle access (adjusted odds ratio 1.77; 95% confidence interval 1.68-1.87). At the ecological level, there were significant, graded relationships between PMN rates and poverty and vehicle access (both P < .0001); these gradients extended across all medication classes. Poverty and vehicle access are related to significant differences in prescription- and ecological-level PMN across 1 metropolitan area. Pharmacists and pharmacies can be key partners in population health efforts. Copyright © 2018 by the American Academy of Pediatrics.

39 CFR 241.3 - Discontinuance of post offices.

Code of Federal Regulations, 2011 CFR

2011-07-01

.... These rules are designed to ensure that the reasons leading a district manager, Customer Service and... originally assigned to the discontinued post office may be changed if the responsible district manager... to the discontinued post office. (ii) If the ZIP Code is changed and the parent post office covers...

Using ZIP Code Business Patterns Data to Measure Alcohol Outlet Density

PubMed Central

Matthews, Stephen A.; McCarthy, John D.; Rafail, Patrick S.

2014-01-01

Some states maintain high-quality alcohol outlet databases but quality varies by state, making comprehensive comparative analysis across US communities difficult. This study assesses the adequacy of using ZIP Code Business Patterns (ZIP-BP) data on establishments as estimates of the number of alcohol outlets by ZIP code. Specifically we compare ZIP-BP alcohol outlet counts with high-quality data from state and local records surrounding 44 college campus communities across 10 states plus the District of Columbia. Results show that a composite measure is strongly correlated (R=0.89) with counts of alcohol outlets generated from official state records. Analyses based on Generalized Estimation Equation models show that community and contextual factors have little impact on the concordance between the two data sources. There are also minimal inter-state differences in the level of agreement. To validate the use of a convenient secondary data set (ZIP-BP) it is important to have a high correlation with the more complex, high quality and more costly data product (i.e., datasets based on the acquisition and geocoding of state and local records) and then to clearly demonstrate that the discrepancy between the two to be unrelated to relevant explanatory variables. Thus our overall findings support the adequacy of using a conveniently available data set (ZIP-BP data) to estimate alcohol outlet densities in ZIP code areas in future research. PMID:21411233

Using ZIP code business patterns data to measure alcohol outlet density.

PubMed

Matthews, Stephen A; McCarthy, John D; Rafail, Patrick S

2011-07-01

Some states maintain high-quality alcohol outlet databases but quality varies by state, making comprehensive comparative analysis across US communities difficult. This study assesses the adequacy of using ZIP Code Business Patterns (ZIP-BP) data on establishments as estimates of the number of alcohol outlets by ZIP code. Specifically we compare ZIP-BP alcohol outlet counts with high-quality data from state and local records surrounding 44 college campus communities across 10 states plus the District of Columbia. Results show that a composite measure is strongly correlated (R=0.89) with counts of alcohol outlets generated from official state records. Analyses based on Generalized Estimation Equation models show that community and contextual factors have little impact on the concordance between the two data sources. There are also minimal inter-state differences in the level of agreement. To validate the use of a convenient secondary data set (ZIP-BP) it is important to have a high correlation with the more complex, high quality and more costly data product (i.e., datasets based on the acquisition and geocoding of state and local records) and then to clearly demonstrate that the discrepancy between the two to be unrelated to relevant explanatory variables. Thus our overall findings support the adequacy of using a conveniently available data set (ZIP-BP data) to estimate alcohol outlet densities in ZIP code areas in future research. Copyright © 2011 Elsevier Ltd. All rights reserved.

Future Research Needs for Dredgeability of Rock: Rock Dredging Workshop Held in Jacksonville, Florida on 25-26 July 1985.

DTIC Science & Technology

1986-09-01

ORGANIZATION Gjeoteehnical Laborator WESGR-M 6c ADDRESS (City, Slate, and ZIP Code ) 7b ADDRESS(City, State. and ZIP Code ) PO Box 631 Vicksburg, MS 39180...of Engineers 8< ADDRESS(City, State, and ZIP Code ) 10 SOURCE OF FUNDING NUMBERS PROGRAM PROJECT TASK WORK UNIT.. ", 1 :, • ; I, - u It ., " ’ ~f...Springfield, VA 22161 17 COSATI CODES 18 SUBJECT TERMS (Continue-On revprse of necessary and identify by block number) " FIELD GROUP SUB GROUP

Migration of Hazardous Substances through Soil. Part 4. Development of a Serial Batch Extraction Method and Application to the Accelerated Testing of Seven Industrial Wastes

DTIC Science & Technology

1987-09-01

Evaluation Commnand &_. ADMASS Coly, 1W~., and ZIP Code ) 7b. ADDRESS (C01y, State, wid ZIP Code ) Dugwiay, Utahi 84022-5000 Aberdeen Proving Ground...Aency_________________________ 9L AoOMS(CRY, 0to, and ZIP Code ) 10. SOURCE OF FUNDING NUMBERS Hazardous Waste Environmental RLsearch Lab PROGRAM PROJECT TASK...CLASSIFICATION 0 UNO.ASSIFIEDAIJNLIMITED 0l SAME AS RPT. 03 OTIC USERS UNCLA.SSIFIED 22a. RAWE OF RESPONSIBLE INDIVIDUAL 22b TELEPHONE (Include Area Code ) I

Geographic Discordance Between Patient Residence and Incident Location in Emergency Medical Services Responses.

PubMed

Hsia, Renee Y; Dai, Mengtao; Wei, Ran; Sabbagh, Sarah; Mann, N Clay

2017-01-01

The location of a patient's residence is often used for emergency medical services (EMS) system planning. Our objective is to evaluate the association between patient residence and emergency incident zip codes for 911 calls. We used data from the 2013 National Emergency Medical Services Information System (NEMSIS) Public-Release Research Dataset. We studied all 911 calls with a valid complaint by dispatch, identifying zip codes for both the residence and incident locations (n=12,376,784). The primary outcomes were geographic and distance discordances between patient residence and incident zip codes. We used a multivariate logistic regression model to determine geographic discordance between residence and incident zip codes by dispatch complaint, age, and sex. We also measured distances between locations with geospatial processing. The overall proportion of geographic discordance for all 911 calls was 27.7% (95% confidence interval [CI] 27.7% to 27.8%) and the median distance discordance was 11.5 miles (95% CI 11.5 to 11.5 miles). Lower geographic discordance rates were found among patients aged 65 to 79 years (20.2%; 95% CI 20.1% to 20.2%) and 80 years and older (14.5%; 95% CI 14.5% to 14.6%). Motor vehicle crashes (63.5%; 95% CI 63.5% to 63.6%), industrial accidents (59.3%; 95% CI 58.0% to 60.6%), and mass casualty incidents (50.6%; 95% CI 49.6% to 51.5%) were more likely to occur outside a patient's residence zip code. Median network distance between home and incident zip centroid codes ranged from 8.6 to 23.5 miles. In NEMSIS, there was geographic discordance between patient residence zip code and call location zip code in slightly more than one quarter of EMS responses records. The geographic discordance rates between residence and incident zip codes were associated with dispatch complaints and age. Although a patient's residence might be a valid proxy for incident location for elderly patients, this relationship holds less true for other age groups and among different complaints. Our findings have important implications for EMS system planning, resource allocation, and injury surveillance. Copyright © 2016 American College of Emergency Physicians. Published by Elsevier Inc. All rights reserved.

Residential exposure to aircraft noise and hospital admissions for cardiovascular diseases: multi-airport retrospective study.

PubMed

Correia, Andrew W; Peters, Junenette L; Levy, Jonathan I; Melly, Steven; Dominici, Francesca

2013-10-08

To investigate whether exposure to aircraft noise increases the risk of hospitalization for cardiovascular diseases in older people (≥ 65 years) residing near airports. Multi-airport retrospective study of approximately 6 million older people residing near airports in the United States. We superimposed contours of aircraft noise levels (in decibels, dB) for 89 airports for 2009 provided by the US Federal Aviation Administration on census block resolution population data to construct two exposure metrics applicable to zip code resolution health insurance data: population weighted noise within each zip code, and 90th centile of noise among populated census blocks within each zip code. 2218 zip codes surrounding 89 airports in the contiguous states. 6 027 363 people eligible to participate in the national medical insurance (Medicare) program (aged ≥ 65 years) residing near airports in 2009. Percentage increase in the hospitalization admission rate for cardiovascular disease associated with a 10 dB increase in aircraft noise, for each airport and on average across airports adjusted by individual level characteristics (age, sex, race), zip code level socioeconomic status and demographics, zip code level air pollution (fine particulate matter and ozone), and roadway density. Averaged across all airports and using the 90th centile noise exposure metric, a zip code with 10 dB higher noise exposure had a 3.5% higher (95% confidence interval 0.2% to 7.0%) cardiovascular hospital admission rate, after controlling for covariates. Despite limitations related to potential misclassification of exposure, we found a statistically significant association between exposure to aircraft noise and risk of hospitalization for cardiovascular diseases among older people living near airports.

Availability and variation of publicly reported prescription drug prices.

PubMed

Kullgren, Jeffrey T; Segel, Joel E; Peterson, Timothy A; Fendrick, A Mark; Singh, Simone

2017-07-01

To examine how often retail prices for prescription drugs are available on state public reporting websites, the variability of these reported prices, and zip code characteristics associated with greater price variation. Searches of state government-operated websites in Michigan, Missouri, New York, and Pennsylvania for retail prices for Advair Diskus (250/50 fluticasone propionate/salmeterol), Lyrica (pregabalin 50 mg), Nasonex (mometasone 50 mcg nasal spray), Spiriva (tiotropium 18 mcg cp-handihaler), Zetia (ezetimibe 10 mg), atorvastatin 20 mg, and metoprolol 50 mg. Data were collected for a 25% random sample of 1330 zip codes. For zip codes with at least 1 pharmacy, we used χ2 tests to compare how often prices were reported. For zip codes with at least 2 reported prices, we used Kruskal-Wallis tests to compare the median difference between the highest and lowest prices and a generalized linear model to identify zip code characteristics associated with greater price variation. Price availability varied significantly (P <.001) across states and drugs, ranging from 52% for metoprolol in Michigan to 1% for atorvastatin in Michigan. Price variation also varied significantly (P <.001) across states and drugs, ranging from a median of $159 for atorvastatin in Pennsylvania to a median of $24 for Nasonex in Missouri. The mean price variation was $52 greater (P <.001) for densely populated zip codes and $60 greater (P <.001) for zip codes with mostly nonwhite residents. Publicly reported information on state prescription drug price websites is often deficient. When prices are reported, there can be significant variation in the prices of prescriptions, which could translate into substantial savings for consumers who pay out-of-pocket for prescription drugs.

Residential exposure to aircraft noise and hospital admissions for cardiovascular diseases: multi-airport retrospective study

PubMed Central

Correia, Andrew W; Peters, Junenette L; Levy, Jonathan I; Melly, Steven

2013-01-01

Objective To investigate whether exposure to aircraft noise increases the risk of hospitalization for cardiovascular diseases in older people (≥65 years) residing near airports. Design Multi-airport retrospective study of approximately 6 million older people residing near airports in the United States. We superimposed contours of aircraft noise levels (in decibels, dB) for 89 airports for 2009 provided by the US Federal Aviation Administration on census block resolution population data to construct two exposure metrics applicable to zip code resolution health insurance data: population weighted noise within each zip code, and 90th centile of noise among populated census blocks within each zip code. Setting 2218 zip codes surrounding 89 airports in the contiguous states. Participants 6 027 363 people eligible to participate in the national medical insurance (Medicare) program (aged ≥65 years) residing near airports in 2009. Main outcome measures Percentage increase in the hospitalization admission rate for cardiovascular disease associated with a 10 dB increase in aircraft noise, for each airport and on average across airports adjusted by individual level characteristics (age, sex, race), zip code level socioeconomic status and demographics, zip code level air pollution (fine particulate matter and ozone), and roadway density. Results Averaged across all airports and using the 90th centile noise exposure metric, a zip code with 10 dB higher noise exposure had a 3.5% higher (95% confidence interval 0.2% to 7.0%) cardiovascular hospital admission rate, after controlling for covariates. Conclusions Despite limitations related to potential misclassification of exposure, we found a statistically significant association between exposure to aircraft noise and risk of hospitalization for cardiovascular diseases among older people living near airports. PMID:24103538

Community Alcohol Outlet Density and Underage Drinking

PubMed Central

Chen, Meng-Jinn; Grube, Joel W.; Gruenewald, Paul J.

2009-01-01

Aim This study examined how community alcohol outlet density may be associated with drinking among youths. Methods Longitudinal data were collected from 1091 adolescents (aged 14–16 at baseline) recruited from 50 zip codes in California with varying levels of alcohol outlet density and median household income. Hierarchical linear models were used to examine the associations between zip code alcohol outlet density and frequency rates of general alcohol use and excessive drinking, taking into account zip code median household income and individual-level variables (age, gender, race/ethnicity, personal income, mobility, and perceived drinking by parents and peers). Findings When all other factors were controlled, higher initial levels of drinking and excessive drinking were observed among youths residing in zip codes with higher alcohol outlet densities. Growth in drinking and excessive drinking was on average more rapid in zip codes with lower alcohol outlet densities. The relation of zip code alcohol outlet density with drinking appeared to be mitigated by having friends with access to a car. Conclusion Alcohol outlet density may play a significant role in initiation of underage drinking during early teen ages, especially when youths have limited mobility. Youth who reside in areas with low alcohol outlet density may overcome geographic constraints through social networks that increase their mobility and the ability to seek alcohol and drinking opportunities beyond the local community. PMID:20078485

Tobacco outlet density and converted versus native non-daily cigarette use in a national US sample.

PubMed

Kirchner, Thomas R; Anesetti-Rothermel, Andrew; Bennett, Morgane; Gao, Hong; Carlos, Heather; Scheuermann, Taneisha S; Reitzel, Lorraine R; Ahluwalia, Jasjit S

2017-01-01

Investigate whether non-daily smokers' (NDS) cigarette price and purchase preferences, recent cessation attempts, and current intentions to quit are associated with the density of the retail cigarette product landscape surrounding their residential address. Cross-sectional assessment of N=904 converted NDS (CNDS). who previously smoked every day, and N=297 native NDS (NNDS) who only smoked non-daily, drawn from a national panel. Kernel density estimation was used to generate a nationwide probability surface of tobacco outlets linked to participants' residential ZIP code. Hierarchically nested log-linear models were compared to evaluate associations between outlet density, non-daily use patterns, price sensitivity and quit intentions. Overall, NDS in ZIP codes with greater outlet density were less likely than NDS in ZIP codes with lower outlet density to hold 6-month quit intentions when they also reported that price affected use patterns (G 2 =66.1, p<0.001) and purchase locations (G 2 =85.2, p<0.001). CNDS were more likely than NNDS to reside in ZIP codes with higher outlet density (G 2 =322.0, p<0.001). Compared with CNDS in ZIP codes with lower outlet density, CNDS in high-density ZIP codes were more likely to report that price influenced the amount they smoke (G 2 =43.9, p<0.001), and were more likely to look for better prices (G 2 =59.3, p<0.001). NDS residing in high-density ZIP codes were not more likely to report that price affected their cigarette brand choice compared with those in ZIP codes with lower density. This paper provides initial evidence that the point-of-sale cigarette environment may be differentially associated with the maintenance of CNDS versus NNDS patterns. Future research should investigate how tobacco control efforts can be optimised to both promote cessation and curb the rising tide of non-daily smoking in the USA. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Hepatitis C: Treatment

MedlinePlus

... Public Home » Hepatitis C » Hepatitis C Treatment Viral Hepatitis Menu Menu Viral Hepatitis Viral Hepatitis Home For ... Enter ZIP code here Enter ZIP code here Hepatitis C Treatment for Veterans and the Public Treatment ...

48 CFR 52.204-7 - System for Award Management.

Code of Federal Regulations, 2013 CFR

2013-10-01

... for Award Manangement (JUL 2013) (a) Definitions. As used in this provision— Data Universal Numbering... information, including the DUNS number or the DUNS+4 number, the Contractor and Government Entity (CAGE) code... Zip Code. (iv) Company Mailing Address, City, State and Zip Code (if separate from physical). (v...

48 CFR 52.204-7 - System for Award Management.

Code of Federal Regulations, 2014 CFR

2014-10-01

... for Award Manangement (JUL 2013) (a) Definitions. As used in this provision— Data Universal Numbering... information, including the DUNS number or the DUNS+4 number, the Contractor and Government Entity (CAGE) code... Zip Code. (iv) Company Mailing Address, City, State and Zip Code (if separate from physical). (v...

Spatial relationships among dairy farms, drinking water quality, and maternal-child health outcomes in the San Joaquin Valley.

PubMed

Blake, Sarah Brown

2014-01-01

Access to clean and affordable water is a significant public health issue globally, in the United States, and in California where land is heavily used for agriculture and dairy operations. The purpose of this study was to explore the geographic relationships among dairy farms, nitrate levels in drinking water, low birth weight, and socioeconomic data at the ZIP code level in the San Joaquin Valley. This ecological study used a Geographic Information System (GIS) to explore and analyze secondary data. A total of 211 ZIP codes were analyzed using spatial autocorrelation and regression analysis methods in ArcGIS version 10.1. ZIP codes with dairies had a higher percentage of Hispanic births (p = .001). Spatial statistics revealed that ZIP codes with more dairy farms and a higher dairy cow density had higher levels of nitrate contamination. No correlation was detected between LBW and unsafe nitrate levels at the ZIP code level. Further research examining communities that use private and small community wells in the San Joaquin Valley should be conducted. Birth data from smaller geographic areas should be used to continue exploring the relationship between birth outcomes and nitrate contamination in drinking water. © 2014 Wiley Periodicals, Inc.

A cross-sectional prevalence study of ethnically targeted and general audience outdoor obesity-related advertising.

PubMed

Yancey, Antronette K; Cole, Brian L; Brown, Rochelle; Williams, Jerome D; Hillier, Amy; Kline, Randolph S; Ashe, Marice; Grier, Sonya A; Backman, Desiree; McCarthy, William J

2009-03-01

Commercial marketing is a critical but understudied element of the sociocultural environment influencing Americans' food and beverage preferences and purchases. This marketing also likely influences the utilization of goods and services related to physical activity and sedentary behavior. A growing literature documents the targeting of racial/ethnic and income groups in commercial advertisements in magazines, on billboards, and on television that may contribute to sociodemographic disparities in obesity and chronic disease risk and protective behaviors. This article examines whether African Americans, Latinos, and people living in low-income neighborhoods are disproportionately exposed to advertisements for high-calorie, low nutrient-dense foods and beverages and for sedentary entertainment and transportation and are relatively underexposed to advertising for nutritious foods and beverages and goods and services promoting physical activities. Outdoor advertising density and content were compared in zip code areas selected to offer contrasts by area income and ethnicity in four cities: Los Angeles, Austin, New York City, and Philadelphia. Large variations were observed in the amount, type, and value of advertising in the selected zip code areas. Living in an upper-income neighborhood, regardless of its residents' predominant ethnicity, is generally protective against exposure to most types of obesity-promoting outdoor advertising (food, fast food, sugary beverages, sedentary entertainment, and transportation). The density of advertising varied by zip code area race/ethnicity, with African American zip code areas having the highest advertising densities, Latino zip code areas having slightly lower densities, and white zip code areas having the lowest densities. The potential health and economic implications of differential exposure to obesity-related advertising are substantial. Although substantive legal questions remain about the government's ability to regulate advertising, the success of limiting tobacco advertising offers lessons for reducing the marketing contribution to the obesigenicity of urban environments.

Analysis of Champus Per Capita Mental Health Expenditures and Utilization for Beneficiaries Less Than Eighteen Years

DTIC Science & Technology

1991-04-01

and (If applicable) Clinical Investigation Icty HSAD -A HQ HSC/HSCL-M 6c. ADDRESS (City, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code...NAME OF RESPONSIBLE INDIVIDUAL 22b. TELEPHONE (Include Area Code) 22c. OFFICE SYMBOL Dr. Scott A. Optenberg, GM-14 (512) 221-5880 HSAD -A DD Form

14 CFR Sec. 19-7 - Passenger origin-destination survey.

Code of Federal Regulations, 2011 CFR

2011-01-01

... Transportation Statistics' Director of Airline Information. (c) A statistically valid sample of light coupons... LAX Salt Lake City NorthwestOperating Carrier NorthwestTicketed Carrier Fare Code Phoenix American...

Fundamental Studies in the Molecular Basis of Laser Induced Retinal Damage

DTIC Science & Technology

1988-01-01

Cornell University .LECT l School of Applied & Engineering PhysicsIthaca, NY 14853 0 JAN 198D DOD DISTRIBUTION STATEMENT Approved for public release...State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) School of Applied & Engineering Physics Ithaca, NY 14853 Ba. NAME OF FUNDING/ SPONSORING

77 FR 18716 - Transportation Security Administration Postal Zip Code Change; Technical Amendment

Federal Register 2010, 2011, 2012, 2013, 2014

2012-03-28

... organizational changes and it has no substantive effect on the public. DATES: Effective March 28, 2012. FOR... No. 1572-9] Transportation Security Administration Postal Zip Code Change; Technical Amendment AGENCY: Transportation Security Administration, DHS. ACTION: Final rule. SUMMARY: This rule is a technical change to...

Community measures of low-fat milk consumption: comparing store shelves with households.

PubMed

Fisher, B D; Strogatz, D S

1999-02-01

This study examined the relationship between the proportion of milk in food stores that is low-fat and consumption of low-fat milk in the community. Data were gathered from 503 stores across 53 New York State zip codes. In 19 zip codes, a telephone survey measured household low-fat milk use. Census data were obtained to examine sociodemographic predictors of the percentage of low-fat milk in stores. The proportion of low-fat milk in stores was directly related to low-fat milk consumption in households and to the median income and urban level of the zip code. These results support using food store shelf-space observations to estimate low-fat milk consumption.

Selection and Evaluation of a Real Time Monitoring System for the Bigeye Bomb Fill/Close Production Facility. Phase 2

DTIC Science & Technology

1989-06-01

and ZIP Code ) 10 SOURCE OF FUNDING NU MBERS I O KUI PROGRAM PRO ECCT TASKWOKUI E L E M E N T N O . N O .I 1 2 0 N O A 5 A C C E S S I O N N OlI I1 TITLE... source of by-products formation. Generating Data for Mathematical Modeling of Real Vapor Phase Reaction Systems (tremendously speeds multi -level, multi ...SMCC-RI1 6c AD RS(Ciry,. State, and ZIP Code ) SCRRI 7b. ADDRESS (City, State, and ZIP Code ) IA!hrueýýt Proving Ground, MD 21010-54213 a.NMOFFUNI.DNG

A Continuum Diffusion Model for Viscoelastic Materials

DTIC Science & Technology

1988-11-01

ZIP Code) 7b. ADDRESS (CJI. Slow, and ZIP Code) Mechanics Div isi on Office of Naval Research; Code 432 Collge Satio, T as 7843800 Quincy Ave. Collge ...these studies, which involved experimental, analytical, and materials science aspects, were conducted by researchers in the fields of physical and...thermodynamics, with irreversibility stemming from the foregoing variables yr through "growth laws" that correspond to viscous resistance. The physical ageing of

14 CFR 217.10 - Instructions.

Code of Federal Regulations, 2013 CFR

2013-01-01

... and the other pertaining to on-flight markets. For example, the routing (A-B-C-D) consists of three..., Singapore A-3—Airport code Origin A-4—Airport code Destination A-5—Service class (mark an X) F G L P Q By aircraft type— B-1—Aircraft type code B-2—Revenue aircraft departures B-3—Revenue passengers transported B...

14 CFR 217.10 - Instructions.

Code of Federal Regulations, 2012 CFR

2012-01-01

... and the other pertaining to on-flight markets. For example, the routing (A-B-C-D) consists of three..., Singapore A-3—Airport code Origin A-4—Airport code Destination A-5—Service class (mark an X) F G L P Q By aircraft type— B-1—Aircraft type code B-2—Revenue aircraft departures B-3—Revenue passengers transported B...

14 CFR 217.10 - Instructions.

Code of Federal Regulations, 2014 CFR

2014-01-01

... and the other pertaining to on-flight markets. For example, the routing (A-B-C-D) consists of three..., Singapore A-3—Airport code Origin A-4—Airport code Destination A-5—Service class (mark an X) F G L P Q By aircraft type— B-1—Aircraft type code B-2—Revenue aircraft departures B-3—Revenue passengers transported B...

Diaspora engagement of African migrant health workers - examples from five destination countries.

PubMed

Wojczewski, Silvia; Poppe, Annelien; Hoffmann, Kathryn; Peersman, Wim; Nkomazana, Oathokwa; Pentz, Stephen; Kutalek, Ruth

2015-01-01

Migrant health workers fill care gaps in their destination countries, but they also actively engage in improving living conditions for people of their countries of origin through expatriate professional networks. This paper aims to explore the professional links that migrant health workers from sub-Saharan African countries living in five African and European destinations (Botswana, South Africa, Belgium, Austria, and the United Kingdom) have to their countries of origin. Qualitative interviews were conducted with migrant doctors, nurses, and midwives from sub-Saharan Africa (N=66). A qualitative content analysis of the material was performed using the software ATLAS.ti. Almost all migrant health workers have professional ties with their countries of origin supporting health, education, and social structures. They work with non-governmental organizations, universities, or hospitals and travel back and forth between their destination country and country of origin. For a few respondents, professional engagement or even maintaining private contacts in their country of origin is difficult due to the political situation at home. The results show that African migrant health workers are actively engaged in improving living conditions not only for their family members but also for the population in general in their countries of origin. Our respondents are mediators and active networkers in a globalized and transnationally connected world. The research suggests that the governments of these countries of origin could strategically use their migrant health workforce for improving education and population health in sub-Saharan Africa. Destination countries should be reminded of their need to comply with the WHO Global Code of Practice for the international recruitment of health professionals.

Problem-Solving Under Time Constraints: Alternatives for the Commander’s Estimate

DTIC Science & Technology

1990-03-26

CHOOL OF ADVANCED MILITAR (If applicable) STUDIES, USAC&GSC IATZL-SWV 6. ADDRESS (City, State, and ZIP Code ) 7b. ADDRESS (City, State, and ZIP Code ...NOTATION 17. COSATI CODES 18. SUBJECT TERMS (Continue on reverse if necessary and identify by block number) FIELD GROUP SUB-GROUP DECISIONJ*MAKING...OF RESPONSIBLE INDIVIDUAL 22b. TELEPHONE (Include Area Code ) 122c. OFFICE SYMBOL MAJ TIMOTHY D. LYNCH 9 684-3437 1 AT71-.qWV DO Form 1473, JUN 86

National Freight Demand Modeling - Bridging the Gap between Freight Flow Statistics and U.S. Economic Patterns

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

Chin, Shih-Miao; Hwang, Ho-Ling

2007-01-01

This paper describes a development of national freight demand models for 27 industry sectors covered by the 2002 Commodity Flow Survey. It postulates that the national freight demands are consistent with U.S. business patterns. Furthermore, the study hypothesizes that the flow of goods, which make up the national production processes of industries, is coherent with the information described in the 2002 Annual Input-Output Accounts developed by the Bureau of Economic Analysis. The model estimation framework hinges largely on the assumption that a relatively simple relationship exists between freight production/consumption and business patterns for each industry defined by the three-digit Northmore » American Industry Classification System industry codes (NAICS). The national freight demand model for each selected industry sector consists of two models; a freight generation model and a freight attraction model. Thus, a total of 54 simple regression models were estimated under this study. Preliminary results indicated promising freight generation and freight attraction models. Among all models, only four of them had a R2 value lower than 0.70. With additional modeling efforts, these freight demand models could be enhanced to allow transportation analysts to assess regional economic impacts associated with temporary lost of transportation services on U.S. transportation network infrastructures. Using such freight demand models and available U.S. business forecasts, future national freight demands could be forecasted within certain degrees of accuracy. These freight demand models could also enable transportation analysts to further disaggregate the CFS state-level origin-destination tables to county or zip code level.« less

Implications of Supermarket Access, Neighborhood Walkability, and Poverty Rates for Diabetes Risk in an Employee Population

PubMed Central

Herrick, Cynthia J.; Yount, Byron W.; Eyler, Amy A.

2016-01-01

Objective Diabetes is a growing public health problem, and the environment in which people live and work may affect diabetes risk. The goal of this study was to examine the association between multiple aspects of environment and diabetes risk in an employee population. Design This was a retrospective cross-sectional analysis. Home environment variables were derived using employee zip code. Descriptive statistics were run on all individual and zip code level variables, stratified by diabetes risk and worksite. A multivariable logistic regression analysis was then conducted to determine the strongest associations with diabetes risk. Setting Data was collected from employee health fairs in a Midwestern health system 2009–2012. Subjects The dataset contains 25,227 unique individuals across four years of data. From this group, using an individual’s first entry into the database, 15,522 individuals had complete data for analysis. Results The prevalence of high diabetes risk in this population was 2.3%. There was significant variability in individual and zip code level variables across worksites. From the multivariable analysis, living in a zip code with higher percent poverty and higher walk score was positively associated with high diabetes risk, while living in a zip code with higher supermarket density was associated with a reduction in high diabetes risk. Conclusions Our study underscores the important relationship between poverty, home neighborhood environment, and diabetes risk, even in a relatively healthy employed population, and suggests a role for the employer in promoting health. PMID:26638995

Implications of supermarket access, neighbourhood walkability and poverty rates for diabetes risk in an employee population.

PubMed

Herrick, Cynthia J; Yount, Byron W; Eyler, Amy A

2016-08-01

Diabetes is a growing public health problem, and the environment in which people live and work may affect diabetes risk. The goal of the present study was to examine the association between multiple aspects of environment and diabetes risk in an employee population. This was a retrospective cross-sectional analysis. Home environment variables were derived using employees' zip code. Descriptive statistics were run on all individual- and zip-code-level variables, stratified by diabetes risk and worksite. A multivariable logistic regression analysis was then conducted to determine the strongest associations with diabetes risk. Data were collected from employee health fairs in a Midwestern health system, 2009-2012. The data set contains 25 227 unique individuals across four years of data. From this group, using an individual's first entry into the database, 15 522 individuals had complete data for analysis. The prevalence of high diabetes risk in this population was 2·3 %. There was significant variability in individual- and zip-code-level variables across worksites. From the multivariable analysis, living in a zip code with higher percentage of poverty and higher walk score was positively associated with high diabetes risk, while living in a zip code with higher supermarket density was associated with a reduction in high diabetes risk. Our study underscores the important relationship between poverty, home neighbourhood environment and diabetes risk, even in a relatively healthy employed population, and suggests a role for the employer in promoting health.

A Cross-Sectional Prevalence Study of Ethnically Targeted and General Audience Outdoor Obesity-Related Advertising

PubMed Central

Yancey, Antronette K; Cole, Brian L; Brown, Rochelle; Williams, Jerome D; Hillier, Amy; Kline, Randolph S; Ashe, Marice; Grier, Sonya A; Backman, Desiree; McCarthy, William J

2009-01-01

Context: Commercial marketing is a critical but understudied element of the sociocultural environment influencing Americans' food and beverage preferences and purchases. This marketing also likely influences the utilization of goods and services related to physical activity and sedentary behavior. A growing literature documents the targeting of racial/ethnic and income groups in commercial advertisements in magazines, on billboards, and on television that may contribute to sociodemographic disparities in obesity and chronic disease risk and protective behaviors. This article examines whether African Americans, Latinos, and people living in low-income neighborhoods are disproportionately exposed to advertisements for high-calorie, low nutrient–dense foods and beverages and for sedentary entertainment and transportation and are relatively underexposed to advertising for nutritious foods and beverages and goods and services promoting physical activities. Methods: Outdoor advertising density and content were compared in zip code areas selected to offer contrasts by area income and ethnicity in four cities: Los Angeles, Austin, New York City, and Philadelphia. Findings: Large variations were observed in the amount, type, and value of advertising in the selected zip code areas. Living in an upper-income neighborhood, regardless of its residents' predominant ethnicity, is generally protective against exposure to most types of obesity-promoting outdoor advertising (food, fast food, sugary beverages, sedentary entertainment, and transportation). The density of advertising varied by zip code area race/ethnicity, with African American zip code areas having the highest advertising densities, Latino zip code areas having slightly lower densities, and white zip code areas having the lowest densities. Conclusions: The potential health and economic implications of differential exposure to obesity-related advertising are substantial. Although substantive legal questions remain about the government's ability to regulate advertising, the success of limiting tobacco advertising offers lessons for reducing the marketing contribution to the obesigenicity of urban environments. PMID:19298419

Potential geographic "hotspots" for drug-injection related transmission of HIV and HCV and for initiation into injecting drug use in New York City, 2011-2015, with implications for the current opioid epidemic in the US.

PubMed

Des Jarlais, D C; Cooper, H L F; Arasteh, K; Feelemyer, J; McKnight, C; Ross, Z

2018-01-01

We identified potential geographic "hotspots" for drug-injecting transmission of HIV and hepatitis C virus (HCV) among persons who inject drugs (PWID) in New York City. The HIV epidemic among PWID is currently in an "end of the epidemic" stage, while HCV is in a continuing, high prevalence (> 50%) stage. We recruited 910 PWID entering Mount Sinai Beth Israel substance use treatment programs from 2011-2015. Structured interviews and HIV/ HCV testing were conducted. Residential ZIP codes were used as geographic units of analysis. Potential "hotspots" for HIV and HCV transmission were defined as 1) having relatively large numbers of PWID 2) having 2 or more HIV (or HCV) seropositive PWID reporting transmission risk-passing on used syringes to others, and 3) having 2 or more HIV (or HCV) seronegative PWID reporting acquisition risk-injecting with previously used needles/syringes. Hotspots for injecting drug use initiation were defined as ZIP codes with 5 or more persons who began injecting within the previous 6 years. Among PWID, 96% injected heroin, 81% male, 34% White, 15% African-American, 47% Latinx, mean age 40 (SD = 10), 7% HIV seropositive, 62% HCV seropositive. Participants resided in 234 ZIP codes. No ZIP codes were identified as potential hotspots due to small numbers of HIV seropositive PWID reporting transmission risk. Four ZIP codes were identified as potential hotspots for HCV transmission. 12 ZIP codes identified as hotspots for injecting drug use initiation. For HIV, the lack of potential hotspots is further validation of widespread effectiveness of efforts to reduce injecting-related HIV transmission. Injecting-related HIV transmission is likely to be a rare, random event. HCV prevention efforts should include focus on potential hotspots for transmission and on hotspots for initiation into injecting drug use. We consider application of methods for the current opioid epidemic in the US.

Application of Microgravity to the Assessment of Existing Structures and Structural Foundations.

DTIC Science & Technology

1988-04-29

UADGU Geophysique Francafse IUSRSU 6c. ADDRESS (City, State. and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) 20, Rue des Pavilions Box 65 92800...r (2.8 - 2.4) 286 AM~TCT f eldo f6 YOUOUVT 4. EXISTING STRUCTURES AND (U) CONPAGNIE DE PROSPECTION GEOPHYSIQUE FRANCAISE RUEIL-MALNAISO J LAKSHNRNRN

76 FR 54931 - Post Office (PO) Box Fee Groups for Merged Locations

Federal Register 2010, 2011, 2012, 2013, 2014

2011-09-06

... POSTAL SERVICE 39 CFR Part 111 Post Office (PO) Box Fee Groups for Merged Locations AGENCY: Postal... different ZIP Code TM location because of a merger of two or more ZIP Code locations into a single location... merged with a location whose box section is more than one fee group level different, the location would...

76 FR 40849 - Post Office (PO) Box Fee Groups for Merged Locations

Federal Register 2010, 2011, 2012, 2013, 2014

2011-07-12

... POSTAL SERVICE 39 CFR Part 111 Post Office (PO) Box Fee Groups for Merged Locations AGENCY: Postal... Locations.'' Faxed comments are not accepted. FOR FURTHER INFORMATION CONTACT: Nan McKenzie at 202-268-3089... boxes move to a different ZIP Code location because of a merger of two or more ZIP Code locations into a...

Community measures of low-fat milk consumption: comparing store shelves with households.

PubMed Central

Fisher, B D; Strogatz, D S

1999-01-01

OBJECTIVES: This study examined the relationship between the proportion of milk in food stores that is low-fat and consumption of low-fat milk in the community. METHODS: Data were gathered from 503 stores across 53 New York State zip codes. In 19 zip codes, a telephone survey measured household low-fat milk use. Census data were obtained to examine sociodemographic predictors of the percentage of low-fat milk in stores. RESULTS: The proportion of low-fat milk in stores was directly related to low-fat milk consumption in households and to the median income and urban level of the zip code. CONCLUSIONS: These results support using food store shelf-space observations to estimate low-fat milk consumption. PMID:9949755

Formal Models of Hardware and Their Applications to VLSI Design Automation.

DTIC Science & Technology

1986-12-24

ORGANIZATION Universitv of Southern’iaplcbe ralifnrni Offico of ’,aval "esearch 6c. ADDRESS (City. State and ZIP Code) 7b. ADDRESS (City. Stote and ZIP Code...Di’f-i2C-33-K-O147 8.ADESS IXity, State and ZIP Coda, 10 SOURCE OF FUNDING NODS US fr-," esearch C-f-ice PORM POET TS OKUI 2..Fc 2~1ELEMENT No NO. NO...are classified as belonging to one of six different types. The dimensions of the routing channel are defined as functions of these random variables

European Science Notes. Volume 40, Number 4.

DTIC Science & Technology

1986-04-01

OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION (if applicable) 8c. ADDRESS (City, State, and ZIP Code ) 10. SOURCE OF...Office, London ONRL 6c. ADDRESS (City, State, and ZIP Code ) 7b. ADDRESS (City, State, and ZIPCode) Box 39 FPO, NY 09510 Ba. NAME OF FUNDING/SPONSORING 8b...13..TYPj9 REPORT13bTIECVRD1.DTOFRPT(YaMnhDy)1.AGCUNMonthly FROM TO _ April 1986 32 16. SUPPLEMENTARY NOTATION 17. COSATI CODES 18. SUBJECT TERMS

Verifying the Chemical Weapons Convention: The Case for a United Nations Verification Agency

DTIC Science & Technology

1991-12-01

ORGANIZATION REPORT NUMBER(S) 6&. NAME OF PERFORMING ORGANIZATION j6b. OFFICE SYMBOL 7&. NAME OF MONITORING ORGANIZATION Naval Postgraduate School J(if applicaip...Naval Postgraduate School 6c. ADDRESS (City, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) Monterey. CA 93943-5000 Monterey, CA 93943...Governinent. 17. COSATI CODES 18. SUBJECT TERMS (continue on reverse if necessaty and identify by black number) -FIELD GROUP SUBGROUP Chemical

Diaspora engagement of African migrant health workers – examples from five destination countries

PubMed Central

Wojczewski, Silvia; Poppe, Annelien; Hoffmann, Kathryn; Peersman, Wim; Nkomazana, Oathokwa; Pentz, Stephen; Kutalek, Ruth

2015-01-01

Background Migrant health workers fill care gaps in their destination countries, but they also actively engage in improving living conditions for people of their countries of origin through expatriate professional networks. This paper aims to explore the professional links that migrant health workers from sub-Saharan African countries living in five African and European destinations (Botswana, South Africa, Belgium, Austria, and the United Kingdom) have to their countries of origin. Design Qualitative interviews were conducted with migrant doctors, nurses, and midwives from sub-Saharan Africa (N=66). A qualitative content analysis of the material was performed using the software ATLAS.ti. Results Almost all migrant health workers have professional ties with their countries of origin supporting health, education, and social structures. They work with non-governmental organizations, universities, or hospitals and travel back and forth between their destination country and country of origin. For a few respondents, professional engagement or even maintaining private contacts in their country of origin is difficult due to the political situation at home. Conclusions The results show that African migrant health workers are actively engaged in improving living conditions not only for their family members but also for the population in general in their countries of origin. Our respondents are mediators and active networkers in a globalized and transnationally connected world. The research suggests that the governments of these countries of origin could strategically use their migrant health workforce for improving education and population health in sub-Saharan Africa. Destination countries should be reminded of their need to comply with the WHO Global Code of Practice for the international recruitment of health professionals. PMID:26652910

Development of a Run Time Math Library for the 1750A Airborne Microcomputer.

DTIC Science & Technology

1985-12-01

premiue CWUTLDK Is R: Integer :a 0; 0: Integer :ul; LNMM: UEM; -Compute the Lado (alpii) for J In 0..Ol.K-1) loop Itf 0(14 1)/ 0. 0...ORGANIZATION (If appiicable) * School of Engineering AFIT/ ENC 6c. ADDRESS (City, State and ZIP Code) 7b. ADDRESS (City. State and ZIP Code) Air Force

The Design and Implementation of a Read Prediction Buffer

DTIC Science & Technology

1992-12-01

City, State, and ZIP Code) 7b ADDRESS (City, State. and ZIP Code) 8a. NAME OF FUNDING /SPONSORING 8b. OFFICE SYMBOL 9 PROCUREMENT INSTRUMENT... 9 E. THESIS STRUCTURE.. . .... ............... 9 II. READ PREDICTION ALGORITHM AND BUFFER DESIGN 10 A. THE READ PREDICTION ALGORITHM...29 Figure 9 . Basic Multiplexer Cell .... .......... .. 30 Figure 10. Block Diagram Simulation Labels ......... 38 viii I. INTRODUCTION A

Poverty, wealth, and health care utilization: a geographic assessment.

PubMed

Cooper, Richard A; Cooper, Matthew A; McGinley, Emily L; Fan, Xiaolin; Rosenthal, J Thomas

2012-10-01

Geographic variation has been of interest to both health planners and social epidemiologists. However, while the major focus of interest of planners has been on variation in health care spending, social epidemiologists have focused on health; and while social epidemiologists have observed strong associations between poor health and poverty, planners have concluded that income is not an important determinant of variation in spending. These different conclusions stem, at least in part, from differences in approach. Health planners have generally studied variation among large regions, such as states, counties, or hospital referral regions (HRRs), while epidemiologists have tended to study local areas, such as ZIP codes and census tracts. To better understand the basis for geographic variation in hospital utilization, we drew upon both approaches. Counties and HRRs were disaggregated into their constituent ZIP codes and census tracts and examined the interrelationships between income, disability, and hospital utilization that were examined at both the regional and local levels, using statistical and geomapping tools. Our studies centered on the Milwaukee and Los Angeles HRRs, where per capita health care utilization has been greater than elsewhere in their states. We compared Milwaukee to other HRRs in Wisconsin and Los Angeles to the other populous counties of California and to a region in California of comparable size and diversity, stretching from San Francisco to Sacramento (termed "San-Framento"). When studied at the ZIP code level, we found steep, curvilinear relationships between lower income and both increased hospital utilization and increasing percentages of individuals reporting disabilities. These associations were also evident on geomaps. They were strongest among populations of working-age adults but weaker among seniors, for whom income proved to be a poor proxy for poverty and whose residential locations deviated from the major underlying income patterns. Among working-age adults, virtually all of the excess utilization in Milwaukee was attributable to very high utilization in Milwaukee's segregated "poverty corridor." Similarly, the greater rate of hospital use in Los Angeles than in San-Framento could be explained by proportionately more low-income ZIP codes in Los Angeles and fewer in San-Framento. Indeed, when only high-income ZIP codes were assessed, there was little variation in hospital utilization among California's 18 most populous counties. We estimated that had utilization within each region been at the rate of its high-income ZIP codes, overall utilization would have been 35 % less among working-age adults and 20 % less among seniors. These studies reveal the importance of disaggregating large geographic units into their constituent ZIP codes in order to understand variation in health care utilization among them. They demonstrate the strong association between low ZIP code income and both higher percentages of disability and greater hospital utilization. And they suggest that, given the large contribution of the poorest neighborhoods to aggregate utilization, it will be difficult to curb the growth of health care spending without addressing the underlying social determinants of health.

Preparation and Use of Liposomes in Immunological Studies

DTIC Science & Technology

1993-01-01

SYMBOL MFI RO W 0 E FANIZATION Division of Bioctmnistry El O9V09W399 6c. ADDRESS (City, State, and ZIP Code). DRESS(Ci State, and ZIP Code) "Walter Reed...Anuv Institute of Research 1 A Washington. DC 20307-5100 oC" 8a. NAME OF FUNDING/SPONSORING 8b. OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION...12a NAME OF RESPONSIBLE INDIVIDUAL 22b. TELEPHONE (Include Area Code) 22c. OFFICE SYMBOL OD Form 1473, JUN 86 Previous editions are obsolete

Find a Diabetes Prevention Program Near You

MedlinePlus

... throughout the country. Find an In-person Class Select From List Find a class near you by ... some locations. Search by ZIP ZIP Code: Distance: Select Location Location: Find an Online Program Online programs ...

Determining Market Categorization of United States Zip Codes for Purposes of Army Recruiting

DTIC Science & Technology

2016-06-01

NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS Approved for public release; distribution is unlimited DETERMINING MARKET ...2016 3. REPORT TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE DETERMINING MARKET CATEGORIZATION OF UNITED STATES ZIP CODES FOR...Army uses commercial market segmentation data to analyze markets and past accessions to assign recruiters and quotas to maximize production. We use

Potential geographic "hotspots" for drug-injection related transmission of HIV and HCV and for initiation into injecting drug use in New York City, 2011-2015, with implications for the current opioid epidemic in the US

PubMed Central

Cooper, H. L. F.; Arasteh, K.; Feelemyer, J.; McKnight, C.; Ross, Z.

2018-01-01

Objective We identified potential geographic “hotspots” for drug-injecting transmission of HIV and hepatitis C virus (HCV) among persons who inject drugs (PWID) in New York City. The HIV epidemic among PWID is currently in an “end of the epidemic” stage, while HCV is in a continuing, high prevalence (> 50%) stage. Methods We recruited 910 PWID entering Mount Sinai Beth Israel substance use treatment programs from 2011–2015. Structured interviews and HIV/ HCV testing were conducted. Residential ZIP codes were used as geographic units of analysis. Potential “hotspots” for HIV and HCV transmission were defined as 1) having relatively large numbers of PWID 2) having 2 or more HIV (or HCV) seropositive PWID reporting transmission risk—passing on used syringes to others, and 3) having 2 or more HIV (or HCV) seronegative PWID reporting acquisition risk—injecting with previously used needles/syringes. Hotspots for injecting drug use initiation were defined as ZIP codes with 5 or more persons who began injecting within the previous 6 years. Results Among PWID, 96% injected heroin, 81% male, 34% White, 15% African-American, 47% Latinx, mean age 40 (SD = 10), 7% HIV seropositive, 62% HCV seropositive. Participants resided in 234 ZIP codes. No ZIP codes were identified as potential hotspots due to small numbers of HIV seropositive PWID reporting transmission risk. Four ZIP codes were identified as potential hotspots for HCV transmission. 12 ZIP codes identified as hotspots for injecting drug use initiation. Discussion For HIV, the lack of potential hotspots is further validation of widespread effectiveness of efforts to reduce injecting-related HIV transmission. Injecting-related HIV transmission is likely to be a rare, random event. HCV prevention efforts should include focus on potential hotspots for transmission and on hotspots for initiation into injecting drug use. We consider application of methods for the current opioid epidemic in the US. PMID:29596464

A linear programming model for preserving privacy when disclosing patient spatial information for secondary purposes.

PubMed

Jung, Ho-Won; El Emam, Khaled

2014-05-29

A linear programming (LP) model was proposed to create de-identified data sets that maximally include spatial detail (e.g., geocodes such as ZIP or postal codes, census blocks, and locations on maps) while complying with the HIPAA Privacy Rule's Expert Determination method, i.e., ensuring that the risk of re-identification is very small. The LP model determines the transition probability from an original location of a patient to a new randomized location. However, it has a limitation for the cases of areas with a small population (e.g., median of 10 people in a ZIP code). We extend the previous LP model to accommodate the cases of a smaller population in some locations, while creating de-identified patient spatial data sets which ensure the risk of re-identification is very small. Our LP model was applied to a data set of 11,740 postal codes in the City of Ottawa, Canada. On this data set we demonstrated the limitations of the previous LP model, in that it produces improbable results, and showed how our extensions to deal with small areas allows the de-identification of the whole data set. The LP model described in this study can be used to de-identify geospatial information for areas with small populations with minimal distortion to postal codes. Our LP model can be extended to include other information, such as age and gender.

Manifestations of poverty and birthrates among young teenagers in California zip code areas.

PubMed

Kirby, D; Coyle, K; Gould, J B

2001-01-01

Given that many communities are implementing community-wide initiatives to reduce teenage pregnancy or childbearing, it is important to understand the effects of a community's characteristics on adolescent birthrates. Data from the 1990 census and from California birth certificates were obtained for zip codes in California. Regression analyses were conducted on data from zip code areas with at least 200 females aged 15-17 between 1991 and 1996, to predict the effects of race and ethnicity marital status, education, employment, income and poverty, and housing on birthrates among young teenagers. In bivariate analyses, the proportion of families living below poverty level within a zip code was highly related to the birthrate among young teenagers in that zip code (r=.80, p<.001). In multivariate analyses, which controlled for some of the correlates of family poverty level, the proportion of families living below poverty level remained by far the most important predictor of the birthrate among young teenagers (b=1.54), followed by the proportion of adults aged 25 or older who have a college education (b=-0.80). Race and ethnicity were only weakly related to birthrate. In all three racial and ethnic groups, poverty and education were significantly related to birthrate, but the effect of college education was greater among Hispanics (b=-2.98) than among either non-Hispanic whites (b=-0.53) or blacks (b=-1.12). Male employment and unemployment and female unemployment were highly related to the birthrate among young teenagers in some racial or ethnic groups, but not in others. Multiple manifestations of poverty, including poverty itself, low levels of education and employment, and high levels of unemployment, may have a large impact upon birthrates among young teenagers. Addressing some of these issues could substantially reduce childbearing among young adolescents.

Geographic disparities in patient travel for dialysis in the United States.

PubMed

Stephens, J Mark; Brotherton, Samuel; Dunning, Stephan C; Emerson, Larry C; Gilbertson, David T; Harrison, David J; Kochevar, John J; McClellan, Ann C; McClellan, William M; Wan, Shaowei; Gitlin, Matthew

2013-01-01

To estimate travel distance and time for US hemodialysis patients and to compare travel of rural versus urban patients. Dialysis patient residences were estimated from ZIP code-level patient counts as of February 2011 allocated within the ZIP code proportional to census tract-level population, obtained from the 2010 U.S. Census. Dialysis facility addresses were obtained from Medicare public-use files. Patients were assigned to an "original" and "replacement" facility, assuming patients used the facility closest to home and would select the next closest facility as a replacement, if a replacement facility was required. Driving distances and times were calculated between patient residences and facility locations using GIS software. The mean one-way driving distance to the original facility was 7.9 miles; for rural patients average distances were 2.5 times farther than for urban patients (15.9 vs. 6.2 miles). Mean driving distance to a replacement facility was 10.6 miles, with rural patients traveling on average 4 times farther than urban patients to a replacement facility (28.8 vs. 6.8 miles). Rural patients travel much longer distances for dialysis than urban patients. Accessing alternative facilities, if required, would greatly increase rural patient travel, while having little impact on urban patients. Increased travel could have clinical implications as longer travel is associated with increased mortality and decreased quality of life. © 2013 National Rural Health Association.

Estimating the Depth of the Navy Recruiting Market

DTIC Science & Technology

2016-09-01

recommend that NRC make use of the Poisson regression model in order to determine high-yield ZIP codes for market depth. 14. SUBJECT...recommend that NRC make use of the Poisson regression model in order to determine high-yield ZIP codes for market depth. vi THIS PAGE INTENTIONALLY LEFT...DEPTH OF THE NAVY RECRUITING MARKET by Emilie M. Monaghan September 2016 Thesis Advisor: Lyn R. Whitaker Second Reader: Jonathan K. Alt

Mechanisms of Temporal Pattern Discrimination by Human Observers

DTIC Science & Technology

1994-02-15

Research Center Department of Psychology University of Florida Gainesville, Florida 32611 15 February 1994 Final Technical Report for Period 1 October 1990...Center tfpdCbE Department of Psychology ________ AFOSR/NL Gr. &OORESS (City. Stteco and ZIP Code) 7b. ADDRESS (City’. State and ZIP Code) University of...contrasting novice and experienced performance. Journal of Experimental Psychology : Human Perception and Performance, 18, 50-71. Berg, B. G. (1989). Analysis

Planned Monolayer Assemblies by Adsorption

DTIC Science & Technology

1988-09-01

RESEARCH OFFICE OF TBE U.S. ARMY Xcndn, Engan aONRAcM NUMBE DAJA45-84-C-0055 acntractor: The Weizmn InstituteAttn: Ms. N. Guter Office of Research ...ORGANIZATION The Weizmann Inst’,a#. of (if appficable) European Research office ScienceUSARDSG-UK) Sk. ADDRESS (Wiy State, and ZIP Code) 7b. ADDRESS (City...State. and ZIP Code) Department of Isotope Research Box 65 76100 Rehoyot FPO NY 09510-1500 IsraelJ

The effect of long-term relocation on child and adolescent survivors of Hurricane Katrina.

PubMed

Hansel, Tonya C; Osofsky, Joy D; Osofsky, Howard J; Friedrich, Patricia

2013-10-01

The current study is designed to increase knowledge of the effects of relocation and its association with longer-term psychological symptoms following disaster. Following clinical observations and in discussions held with school officials expressing concerns about relocated students, it was hypothesized that students who relocated to a different city following Hurricane Katrina in 2005 would have more symptoms of posttraumatic stress compared to students who returned to New Orleans. The effect of Hurricane Katrina relocation was assessed on a sample of child and adolescent survivors in 5th through 12th grades (N = 795). Students with Orleans Parish zip codes prior to Hurricane Katrina were categorized into relocation groupings: (a) relocated to Baton Rouge, (b) returned to prior zip code, and (c) moved to a different zip code within Orleans Parish. Overall results revealed more trauma symptoms for relocated students. Results also revealed that younger relocated students had fewer symptoms compared to older students. The opposite was found for students who returned to their same zip code, with older students having fewer symptoms. This study supports the need for school-based services not only in disaster areas, but also in schools where survivors tend to migrate. Copyright © 2013 International Society for Traumatic Stress Studies.

Development of the Pipe Loop System for Determining Effectiveness of Corrosion Control Chemicals in Potable Water Systems

DTIC Science & Technology

1988-08-01

OFFICE SYMBOL 7a NAME OF MONITORING ORGANIZATION U.S. Army Construction (if applicable) Engr Research Laboratory CECER-EN 6c. ADDRESS (City, State...and ZIP Code) 7b ADDRESS (City, State, and ZIP Code) P.O. Box 4005 Champaign, IL 61821 8a. NAME OF FUNDING/SPONSORING 8b OFFICE SYMBOL 9 PROCUREMENT...NAME OF RESPONSIBLE INDIVIDUAL 22b TELEPHONE (Include Area Code) 22c OFFICE SYMBOL Jane Andrew 1(217) 352-6511, x388 CECER-IMT DD FORM 1473. 84 MAR 83

Return Difference Feedback Design for Robust Uncertainty Tolerance in Stochastic Multivariable Control Systems.

DTIC Science & Technology

1982-11-01

D- R136 495 RETURN DIFFERENCE FEEDBACK DESIGN FOR ROBUSTj/ UNCERTAINTY TOLERANCE IN STO..(U) UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF...State and ZIP Code) 7. b6 ADORESS (City. Staft and ZIP Code) Department of Electrical Engineering -’M Directorate of Mathematical & Information Systems ...13. SUBJECT TERMS Continur on rverse ineeesaty and identify by block nmber) FIELD GROUP SUE. GR. Systems theory; control; feedback; automatic control

Analysis of Enrollment by Zip Codes Fall 1982 to Fall 1984. Research Monograph IV [and] Student Enrollment by Majors and Educational Intent. Research Monograph VI.

ERIC Educational Resources Information Center

Shirazi, Annmarie

These two reports analyze enrollments at Oklahoma City Community College (OCCC) by zip code between fall 1982 and fall 1984, by student major between spring 1981 and spring 1985, and by student educational goals for spring 1985. Highlighted findings include the following: (1) the enrollment from Oklahoma City showed a steady decline in terms of…

ARES: A System for Real-Time Operational and Tactical Decision Support

DTIC Science & Technology

1986-12-01

In B]LE LCLGf. 9 NAVAL POSTGRADUATE SCHOOL Monterey, California Vi,-. %*.. THESIS - ’ A RE S A SYSTEM -OR REAL- 1I I .-.. --- OPERATIONAL AND...able) aval Postgraduate School 54 Naval Postgraduate School NN DRESS (City,. State,. and ZIP Code) 7b ADDRESS (City,. State,. and ZIP Code...SUBJECT TERMS (Continue on reverse if necessaty and identify by block number) LD GROUP SUB-GROUP Decision Support System, Logistics Model, Operational

The impacts of marijuana dispensary density and neighborhood ecology on marijuana abuse and dependence

PubMed Central

Mair, Christina; Freisthler, Bridget; Ponicki, William R.; Gaidus, Andrew

2015-01-01

Background As an increasing number of states liberalize cannabis use and develop laws and local policies, it is essential to better understand the impacts of neighborhood ecology and marijuana dispensary density on marijuana use, abuse, and dependence. We investigated associations between marijuana abuse/dependence hospitalizations and community demographic and environmental conditions from 2001–2012 in California, as well as cross-sectional associations between local and adjacent marijuana dispensary densities and marijuana hospitalizations. Methods We analyzed panel population data relating hospitalizations coded for marijuana abuse or dependence and assigned to residential ZIP codes in California from 2001 through 2012 (20,219 space-time units) to ZIP code demographic and ecological characteristics. Bayesian space-time misalignment models were used to account for spatial variations in geographic unit definitions over time, while also accounting for spatial autocorrelation using conditional autoregressive priors. We also analyzed cross-sectional associations between marijuana abuse/dependence and the density of dispensaries in local and spatially adjacent ZIP codes in 2012. Results An additional one dispensary per square mile in a ZIP code was cross-sectionally associated with a 6.8% increase in the number of marijuana hospitalizations (95% credible interval 1.033, 1.105) with a marijuana abuse/dependence code. Other local characteristics, such as the median household income and age and racial/ethnic distributions, were associated with marijuana hospitalizations in cross-sectional and panel analyses. Conclusions Prevention and intervention programs for marijuana abuse and dependence may be particularly essential in areas of concentrated disadvantage. Policy makers may want to consider regulations that limit the density of dispensaries. PMID:26154479

Pesticide exposure and hepatocellular carcinoma risk: A case-control study using a geographic information system (GIS) to link SEER-Medicare and California pesticide data.

PubMed

VoPham, Trang; Brooks, Maria M; Yuan, Jian-Min; Talbott, Evelyn O; Ruddell, Darren; Hart, Jaime E; Chang, Chung-Chou H; Weissfeld, Joel L

2015-11-01

Hepatocellular carcinoma (HCC), the most common type of primary liver cancer, is associated with low survival. U.S. studies examining self-reported pesticide exposure in relation to HCC have demonstrated inconclusive results. We aimed to clarify the association between pesticide exposure and HCC by implementing a novel data linkage between Surveillance, Epidemiology, and End Results (SEER)-Medicare and California Pesticide Use Report (PUR) data using a geographic information system (GIS). Controls were frequency-matched to HCC cases diagnosed between 2000 and 2009 in California by year, age, race, sex, and duration of residence in California. Potential confounders were extracted from Medicare claims. From 1974 to 2008, pounds (1 pound represents 0.45 kg) of applied organophosphate, organochlorine, and carbamate pesticides provided in PURs were aggregated to the ZIP Code level using area weighting in a GIS. ZIP Code exposure estimates were linked to subjects using Medicare-provided ZIP Codes to calculate pesticide exposure. Agricultural residents were defined as living in ZIP Codes with a majority area intersecting agricultural land cover according to the 1992, 2001, and 2006 National Land Cover Database (NLCD) rasters. Multivariable conditional logistic regression was used to estimate the association between pesticide exposure and HCC. Among California residents of agriculturally intensive areas, previous annual ZIP Code-level exposure to over 14.53 kg/km(2) of organochlorine pesticides (75(th) percentile among controls) was associated with an increased risk of HCC after adjusting for liver disease and diabetes (adjusted odds ratio [OR] 1.87, 95% confidence interval [CI] 1.17, 2.99; p=0.0085). ZIP Code-level organochlorines were significantly associated with an increased risk of HCC among males (adjusted OR 2.76, 95% CI 1.58, 4.82; p=0.0004), but not associated with HCC among females (adjusted OR 0.83, 95% CI 0.35, 1.93; p=0.6600) (interaction p=0.0075). This is the first epidemiologic study to use GIS-based exposure estimates to study pesticide exposure and HCC. Our results suggest that organochlorine pesticides are associated with an increase in HCC risk among males but not females. Copyright © 2015 Elsevier Inc. All rights reserved.

Pesticide exposure and hepatocellular carcinoma risk: a case-control study using a geographic information system (GIS) to link SEER-Medicare and California pesticide data

PubMed Central

VoPham, Trang; Brooks, Maria M.; Yuan, Jian-Min; Talbott, Evelyn O.; Ruddell, Darren; Hart, Jaime E.; Chang, Chung-Chou H.; Weissfeld, Joel L.

2015-01-01

Background Hepatocellular carcinoma (HCC), the most common type of primary liver cancer, is associated with low survival. U.S. studies examining self-reported pesticide exposure in relation to HCC have demonstrated inconclusive results. We aimed to clarify the association between pesticide exposure and HCC by implementing a novel data linkage between Surveillance, Epidemiology, and End Results (SEER)-Medicare and California Pesticide Use Report (PUR) data using a geographic information system (GIS). Methods Controls were frequency-matched to HCC cases diagnosed between 2000 and 2009 in California by year, age, race, sex, and duration of residence in California. Potential confounders were extracted from Medicare claims. From 1974 to 2008, pounds (1 pound represents 0.45 kg) of applied organophosphate, organochlorine, and carbamate pesticides provided in PURs were aggregated to the ZIP Code level using area weighting in a GIS. ZIP Code exposure estimates were linked to subjects using Medicare-provided ZIP Codes to calculate pesticide exposure. Agricultural residents were defined as living in ZIP Codes with a majority area intersecting agricultural land cover according to the 1992, 2001, and 2006 National Land Cover Database (NLCD) rasters. Multivariable conditional logistic regression was used to estimate the association between pesticide exposure and HCC. Results Among California residents of agriculturally intensive areas, previous annual ZIP Code-level exposure to over 14.53 kg/km2 of organochlorine pesticides (75th percentile among controls) was associated with an increased risk of HCC after adjusting for liver disease and diabetes (adjusted odds ratio [OR] 1.87, 95% confidence interval [CI] 1.17, 2.99; p=0.0085). ZIP Code-level organochlorines were significantly associated with an increased risk of HCC among males (adjusted OR 2.76, 95% CI 1.58, 4.82; p=0.0004), but not associated with HCC among females (adjusted OR 0.83, 95% CI 0.35, 1.93; p=0.6600) (interaction p=0.0075). Conclusions This is the first epidemiologic study to use GIS-based exposure estimates to study pesticide exposure and HCC. Our results suggest that organochlorine pesticides are associated with an increase in HCC risk among males but not females. PMID:26451881

Determination of SPEAR-1 Rocket Body Potential during High-Voltage Experiments

DTIC Science & Technology

1990-06-01

California at San Diego La Jolla, CA 92093 10 . Dr. C. E. McIlwain Center for Astrophysics and Space Science University of California at San Diego La Jolla...Postgraduate School 39 Naval Postgraduate School 6c. ADDRESS (City, S:are, and ZIP Code) 7b. ADDRESS (Ciy, State, and ZIP Code) Monterey. CA 93943-5000...Monterey. CA 93943-5000 8a. NAME OF FUNDING.SPONSORING 80. OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION (If applicable

Pullout of a Rigid Insert Adhesively Bonded to an Elastic Half Plane.

DTIC Science & Technology

1983-12-01

COMMAND UNITED STATES AIR FORCE C-= °84 02 13 071. C,, W % d 6 This document was prepared by the Department of Engineering Mechanics, USAF Academy Faculty...THOMAS E. KULLGREN, Lt Col, USAF Project Engineer /Scientist Professor and Acting Head, Department of Engineering Mechanics KENNETH E. SIEGETH Lt Col...Department of Engineering (Ifapphicable) Mechanics USAFA/DFEM 6c. ADDRESS (City. State and ZIP Code) 7b. ADDRESS (City, Slate and ZIP Code) USAF Academy

USAF Presence in Latin America in the 21st Century.

DTIC Science & Technology

1988-04-01

faculty in partial fulfillment of requirements for graduation. AIR COMMAND AND STAFF COLLEGE AIR UNIVERSITY MAXWELL AFB, AL 36112 UNCLASSIFIED SECURITY...ADDRESS (City, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) Maxwell AFB AL 36112-5542 Ba. NAME OF FUNDING /SPONSORING 8 b. OFFICE SYMBOL... Servicio Multimodal Transistmico across the Isthmus of Tehuantepec (11:28). It does, however. *%4 row:n militaiy importance. The U.S. Atlantic Command’s

Mechanism of Cytotoxicity of the AIDS Virus, HTLV-III/LAV

DTIC Science & Technology

1989-05-21

distribution unlimited 4. PERFORMING OR3ANIZATION REPORT NUMBER(S) S. MONITORING ORGANIZATION REPORT NUMBER($) 143-065-3611-Al 6s. NAME OF PERFORMING... ORGANIZATION 6b. OFFICE SYMBOL 7a. NAME Of MONITORING ORGANIZATIONj (I aI cb) Washinton University k€. ADORESS (City, State, and ZIP Code) 7b. ADDRESS...IDENTIFICATION NUMBER ORGANIZATiON U.S. Army Medical (if awible) Resch. & Development Command DArJM-17-87-C-7101 Sc. ADDRESS (Oil, State, and ZIP Code

IGG Subclass and Isotype Specific Immunoglobulin Responses to Lassa Fever and Venezuelan Equine Encephalomyelitis: Natural Infection and Immunization

DTIC Science & Technology

1990-09-30

EQUINE N ENCEPHALOMYELITIS: NATURAL INFECTION AND IMMUNIZATION , I PRINCIPAL INVESTIGATOR: Renata J. Engler, LTC, MC CONTRACTING ORGANIZATION: Uniformed...Services University of the Health Sciences Department of Medicine Bethesda, MD 20814-4799 REPORT DATE: September 30, 1990 ELECTEO 0CT 3 11990 TYPE OF...Uniformed Services University (If applicable) of Health Sciences I 6c. ADDRESS (City, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code

Error-Detecting Identification Codes for Algebra Students.

ERIC Educational Resources Information Center

Sutherland, David C.

1990-01-01

Discusses common error-detecting identification codes using linear algebra terminology to provide an interesting application of algebra. Presents examples from the International Standard Book Number, the Universal Product Code, bank identification numbers, and the ZIP code bar code. (YP)

Enhanced Gene Expression Rather than Natural Polymorphism in Coding Sequence of the OsbZIP23 Determines Drought Tolerance and Yield Improvement in Rice Genotypes

PubMed Central

Dey, Avishek; Samanta, Milan Kumar; Gayen, Srimonta; Sen, Soumitra K.; Maiti, Mrinal K.

2016-01-01

Drought is one of the major limiting factors for productivity of crops including rice (Oryza sativa L.). Understanding the role of allelic variations of key regulatory genes involved in stress-tolerance is essential for developing an effective strategy to combat drought. The bZIP transcription factors play a crucial role in abiotic-stress adaptation in plants via abscisic acid (ABA) signaling pathway. The present study aimed to search for allelic polymorphism in the OsbZIP23 gene across selected drought-tolerant and drought-sensitive rice genotypes, and to characterize the new allele through overexpression (OE) and gene-silencing (RNAi). Analyses of the coding DNA sequence (CDS) of the cloned OsbZIP23 gene revealed single nucleotide polymorphism at four places and a 15-nucleotide deletion at one place. The single-copy OsbZIP23 gene is expressed at relatively higher level in leaf tissues of drought-tolerant genotypes, and its abundance is more in reproductive stage. Cloning and sequence analyses of the OsbZIP23-promoter from drought-tolerant O. rufipogon and drought-sensitive IR20 cultivar showed variation in the number of stress-responsive cis-elements and a 35-nucleotide deletion at 5’-UTR in IR20. Analysis of the GFP reporter gene function revealed that the promoter activity of O. rufipogon is comparatively higher than that of IR20. The overexpression of any of the two polymorphic forms (1083 bp and 1068 bp CDS) of OsbZIP23 improved drought tolerance and yield-related traits significantly by retaining higher content of cellular water, soluble sugar and proline; and exhibited decrease in membrane lipid peroxidation in comparison to RNAi lines and non-transgenic plants. The OE lines showed higher expression of target genes-OsRab16B, OsRab21 and OsLEA3-1 and increased ABA sensitivity; indicating that OsbZIP23 is a positive transcriptional-regulator of the ABA-signaling pathway. Taken together, the present study concludes that the enhanced gene expression rather than natural polymorphism in coding sequence of OsbZIP23 is accountable for improved drought tolerance and yield performance in rice genotypes. PMID:26959651

Association between community socioeconomic factors, animal feeding operations, and campylobacteriosis incidence rates: Foodborne Diseases Active Surveillance Network (FoodNet), 2004-2010.

PubMed

Rosenberg Goldstein, Rachel E; Cruz-Cano, Raul; Jiang, Chengsheng; Palmer, Amanda; Blythe, David; Ryan, Patricia; Hogan, Brenna; White, Benjamin; Dunn, John R; Libby, Tanya; Tobin-D'Angelo, Melissa; Huang, Jennifer Y; McGuire, Suzanne; Scherzinger, Karen; Lee, Mei-Ling Ting; Sapkota, Amy R

2016-07-22

Campylobacter is a leading cause of foodborne illness in the United States. Campylobacter infections have been associated with individual risk factors, such as the consumption of poultry and raw milk. Recently, a Maryland-based study identified community socioeconomic and environmental factors that are also associated with campylobacteriosis rates. However, no previous studies have evaluated the association between community risk factors and campylobacteriosis rates across multiple U.S. states. We obtained Campylobacter case data (2004-2010; n = 40,768) from the Foodborne Diseases Active Surveillance Network (FoodNet) and socioeconomic and environmental data from the 2010 Census of Population and Housing, the 2011 American Community Survey, and the 2007 U.S. Census of Agriculture. We linked data by zip code and derived incidence rate ratios using negative binomial regression models. Community socioeconomic and environmental factors were associated with both lower and higher campylobacteriosis rates. Zip codes with higher percentages of African Americans had lower rates of campylobacteriosis (incidence rate ratio [IRR]) = 0.972; 95 % confidence interval (CI) = 0.970,0.974). In Georgia, Maryland, and Tennessee, three leading broiler chicken producing states, zip codes with broiler operations had incidence rates that were 22 % (IRR = 1.22; 95 % CI = 1.03,1.43), 16 % (IRR = 1.16; 95 % CI = 0.99,1.37), and 35 % (IRR = 1.35; 95 % CI = 1.18,1.53) higher, respectively, than those of zip codes without broiler operations. In Minnesota and New York FoodNet counties, two top dairy producing areas, zip codes with dairy operations had significantly higher campylobacteriosis incidence rates (IRR = 1.37; 95 % CI = 1.22, 1.55; IRR = 1.19; 95 % CI = 1.04,1.36). Community socioeconomic and environmental factors are important to consider when evaluating the relationship between possible risk factors and Campylobacter infection.

Local variations in the timing of RSV epidemics.

PubMed

Noveroske, Douglas B; Warren, Joshua L; Pitzer, Virginia E; Weinberger, Daniel M

2016-11-11

Respiratory syncytial virus (RSV) is a primary cause of hospitalizations in children worldwide. The timing of seasonal RSV epidemics needs to be known in order to administer prophylaxis to high-risk infants at the appropriate time. We used data from the Connecticut State Inpatient Database to identify RSV hospitalizations based on ICD-9 diagnostic codes. Harmonic regression analyses were used to evaluate RSV epidemic timing at the county level and ZIP code levels. Linear regression was used to investigate associations between the socioeconomic status of a locality and RSV epidemic timing. 9,740 hospitalizations coded as RSV occurred among children less than 2 years old between July 1, 1997 and June 30, 2013. The earliest ZIP code had a seasonal RSV epidemic that peaked, on average, 4.64 weeks earlier than the latest ZIP code. Earlier epidemic timing was significantly associated with demographic characteristics (higher population density and larger fraction of the population that was black). Seasonal RSV epidemics in Connecticut occurred earlier in areas that were more urban (higher population density and larger fraction of the population that was). These findings could be used to better time the administration of prophylaxis to high-risk infants.

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : second quarter : [2008

DOT National Transportation Integrated Search

2008-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : fourth quarter : [2013

DOT National Transportation Integrated Search

2013-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : second quarter : [2013

DOT National Transportation Integrated Search

2013-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : first quarter : [2009

DOT National Transportation Integrated Search

2009-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : fourth quarter : [2008

DOT National Transportation Integrated Search

2008-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : second quarter : [2010

DOT National Transportation Integrated Search

2010-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : fourth quarter : [2009

DOT National Transportation Integrated Search

2009-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : second quarter : [2011

DOT National Transportation Integrated Search

2011-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : third quarter : [2011

DOT National Transportation Integrated Search

2011-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : first quarter : [2014

DOT National Transportation Integrated Search

2014-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : first quarter : [2012

DOT National Transportation Integrated Search

2012-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : second quarter : [2012

DOT National Transportation Integrated Search

2012-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : fourth quarter : [2010

DOT National Transportation Integrated Search

2010-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : third quarter : [2009

DOT National Transportation Integrated Search

2009-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : first quarter : [2011

DOT National Transportation Integrated Search

2011-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : first quarter : [2013

DOT National Transportation Integrated Search

2013-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : fourth quarter : [2011

DOT National Transportation Integrated Search

2011-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : third quarter : [2010

DOT National Transportation Integrated Search

2010-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : first quarter : [2010

DOT National Transportation Integrated Search

2010-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : third quarter : [2013

DOT National Transportation Integrated Search

2013-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : fourth quarter : [2012

DOT National Transportation Integrated Search

2012-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : second quarter : [2009

DOT National Transportation Integrated Search

2009-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

Data Bank 1B - Ticket Dollar Value Origin and Destination - Public Version : third quarter : [2012

DOT National Transportation Integrated Search

2012-01-01

This CD presents the same data as Data Bank 1B and also includes dual codes for the operating and ticketed carrier and incorporates data as reported each quarter by participating air carriers from the continuous 10% sample of airline tickets. It incl...

The impacts of marijuana dispensary density and neighborhood ecology on marijuana abuse and dependence.

PubMed

Mair, Christina; Freisthler, Bridget; Ponicki, William R; Gaidus, Andrew

2015-09-01

As an increasing number of states liberalize cannabis use and develop laws and local policies, it is essential to better understand the impacts of neighborhood ecology and marijuana dispensary density on marijuana use, abuse, and dependence. We investigated associations between marijuana abuse/dependence hospitalizations and community demographic and environmental conditions from 2001 to 2012 in California, as well as cross-sectional associations between local and adjacent marijuana dispensary densities and marijuana hospitalizations. We analyzed panel population data relating hospitalizations coded for marijuana abuse or dependence and assigned to residential ZIP codes in California from 2001 through 2012 (20,219 space-time units) to ZIP code demographic and ecological characteristics. Bayesian space-time misalignment models were used to account for spatial variations in geographic unit definitions over time, while also accounting for spatial autocorrelation using conditional autoregressive priors. We also analyzed cross-sectional associations between marijuana abuse/dependence and the density of dispensaries in local and spatially adjacent ZIP codes in 2012. An additional one dispensary per square mile in a ZIP code was cross-sectionally associated with a 6.8% increase in the number of marijuana hospitalizations (95% credible interval 1.033, 1.105) with a marijuana abuse/dependence code. Other local characteristics, such as the median household income and age and racial/ethnic distributions, were associated with marijuana hospitalizations in cross-sectional and panel analyses. Prevention and intervention programs for marijuana abuse and dependence may be particularly essential in areas of concentrated disadvantage. Policy makers may want to consider regulations that limit the density of dispensaries. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Robust Control of Multivariable and Large Scale Systems.

DTIC Science & Technology

1986-03-14

AD-A175 $5B ROBUST CONTROL OF MULTIVRRIALE AND LARG SCALE SYSTEMS V2 R75 (U) HONEYWELL SYSTEMS AND RESEARCH CENTER MINNEAPOLIS MN J C DOYLE ET AL...ONIJQ 86 R alFS ja ,.AMIECFOEPF:ORMING ORGANIZATION So OFFICE SYMBOL 7a NAME OF MONITORING ORGANIZATI ON jonevwell Systems & Research If 4000c" Air...Force Office of Scientific Research .~ C :AE S C.rv. Stare arma ZIP Code) 7C ADDRESS (Crty. Stare. am ZIP Code, *3660 Marshall Street NE Building 410

Model of Dredging Impact on Dungeness Crab in Grays Harbor, Washington

DTIC Science & Technology

1987-06-01

Washington. 43 pp. Barry, Steve. 1986. Personal communication . Washington Dept. of Fisheries , Montesano, Washington. Bella, D.A. and K.J. Williamson. 1980... FISHERIES 18SHERIES RESEARCH INSTITUTE *~~ ~~~~~~~ Z *;r. .’."*,* U.-~0 SECURITY CLASSIFICATION OF THIS PAGE REPORT DOCUMENTATION PAGE Form Approved...School of Fisheries U.S.Ary Corps of Engineers, Seattle District 6c. ADDRESS (Cty, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code

Technology Evaluation for Treatment/Disposal of TNT Red Water

DTIC Science & Technology

1990-04-01

U.S. Army Toxic and Hazardous Materials Agency Aberdeen Proving Ground , MD 21010-5423 __ E=4N DISTRIBUTION UNLIMITED I I TECHNOLOGY EVALUATION FOR...ABERDEEN PROVING GROUND , MARYLAND 21010-5423 April 1990 I I SECURITY CLASSIFICATION OF T-HI5 PA iiREPORT DOCUMENTATION PAGE W 7"f 4 I. REPORT SECURITY...and ZIP Code) 7b, ADDRESS (City, State, and ZIP Code) ATTN: CETHA-TE-D Aberdeen Proving Ground , MD 21010-5401 BaG. NAME OF FUNDING /SPONSORING 8b

Identification (ID) Cards for Members of the Uniformed Services, Their Dependents, and Other Eligible Individuals

DTIC Science & Technology

1992-12-30

Encl 5) Cayman Islands CJ Central African Republic CT Chad CD Chile CI China CH Christmas Island KT Clipperton Islands IP Cocos (Keeling) Islands CK...PA Puerto Rico PR Rhode Island RI South Carolina SC South Dakota SD Tennessee TN Federated States of Marshall Islands , Palau TT Texas TX Utah UT...Vermont VT Virginia VA Virgin Islands VI Washington WA West Virginia WV Wisconsin WI Wyoming WY Block 17. ZIP Code. Enter the correct nine-digit ZIP Code

Applications of Functional Analytic and Martingale Methods to Problems in Queueing Network Theory.

DTIC Science & Technology

1983-05-14

8217’") Air Force Office of Scientific Research Sf. ADDRESS (Cllty. State and ZIP Code) 7b. ADDRESS (City. State and ZIP Code) Directorate of Mathematical... Scientific Report on Air Force Grant #82-0167 Principal Investigator: Professor Walter A. Rosenkrantz I. Publications (1) Calculation of the LaPlace transform...whether or not a protocol for accessing a comunications channel is stable. In AFOSR 82-0167, Report No. 3 we showed that the SLOTTED ALOHA Multi access

Thermospray Liquid Chromatography/Mass Spectrometry of Mustard and Its Metabolites

DTIC Science & Technology

1989-05-01

MONITORING ORGANIZATION REPORT NUMBER(S) CRDEC-TR-066 6a. NAME OF PERFORMING ORGANIZATION 6b OFFICE SYMBOL 7a. NAME OF MONITORING ORGANIZATION (If applicable...see reverse 6c- ADDRESS (Cty, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) Ba. NAME OF FUNDING/SPONSORING 8b OFFICE SYMBOL 9...Ather und Thioather in Dioxan- Wasser -Gemischen," Chem, Ber. Vol. 81, p 123 (1948). 2. Capon, B., and McManus, S. P., Neighboring Group Participation

The Telecommunications Emergency Decision Support System as a Crisis Management Decision Support System

DTIC Science & Technology

1991-09-01

NAVAL POSTGRADUATE SCHOOL Monterey, California AD-A246 188 7 R DTIC fl ELECTE FEB2 1992 U THESIS THE TELECOMMUNICATIONS EMERGENCY DECISION SUPPORT...ORGANIZATION REPORT NUMBER(S) a. NAME OF PERFORMING ORGANIZATION 6b. OFFICE SYMBOl 7a. NAME OF MONITORING ORGANIZATION Naval Postgraduate School J ""X...s Naval Postgraduate School c. ADDRESS (City, State and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) Monterey, CA 93943-5000 Monterey, CA 93943

Bibliography on Metrication, January 1977 to August 1989

DTIC Science & Technology

1990-08-01

X.L. 109 Guist, Althea R . 460 Gutmann, Fredrick T. 14,291 Hager. Mary 306 Halstead, Bruce B. 188 Hamilton, A.B. 21,303 Hanley, Charles J. 417 Hart, K.C...Scientific Info. Cent IAMSMI-RD-cs- R 6c. ADDRESS (CIty, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) Commander, U.S. Army Missile Command...Redstone Scientific Information Center AMSMI-RD-CS- R Redstone Arsenal, AL 35898-5241 8a. NAME OF FUNDING/SPONSORING 18b. OFFICE SYMBOL 9. PROCUREMENT

Proceedings of Workshop 15 of the COSPAR Meetings Held in Toulouse, France on 30 June-12 July 1986. Chapter 2. Reference Atmospheres and Thermospheric Mapping,

DTIC Science & Technology

1988-01-21

DISTRIBUTION/AVAILABILITY OF REPORT Approved for public release; 2b. DECLASSIFICATION /’DOWNGRADING SCHEDULE Distribution unlimited 4. PERFORMING ORGANIZATION ...REPORT NUMBER(S) 5. MONITORING ORGANIZATION REPORT NUMBER(S) AFGL-TR-88-0016 6a, NAME OF PERFORMING ORGANIZATION 6b. OFFICE SYMBOL 7a. NAME OF...MONITORING ORGANIZATION Air Force Geophysics (If applicable) Laboratory I oc. ADDRESS (City, State, and ZIP Code) 7b ADDRESS (City, Stare, and ZIP Code

IGG Subclass and Isotype Specific Immunoglobulin Responses to LASSA fever and Venezuelan Equine Encephalomyelitis: Natural Infection and Immunication

DTIC Science & Technology

1989-03-01

VENEZUELAN EQUINE ENCEPHALOMYELITIS: NATURAL INFECTION AND IMMUNIZATION PRINCIPAL INVESTIGATOR: Renata J. Engler CONTRACTING ORGANIZATION: Uniformed Services...University of Health Sciences 4301 Jones Bridges Road Bethesda, MD 20814-4799 DTIC REPORT DATE: March 1, 1989 E T E MAR0 6 1990 TYPE OF REPORT...University (if applicable) of Health Sciences I 6c. ADDRESS (City, State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) 4301 Jones Bridges Road

Travelling Wave Concepts for the Modeling and Control of Space Structures

DTIC Science & Technology

1988-01-31

ZIP Code) 77 Massachusetts Avenue AFOSR / L \\\\ 0 Cambridge, MA 02139 Bolling Air Force Base , DC 20332-6448 8a. NAME OF FUNDING/SPONSORING 8b OFFICE...FQ8671-88-00398 8c. ADDRESS (City, State, and ZIP Code) 10 SOURCE OF FUNDING NUMBERS Building 410 PROGRAM PROJECT tASK WORK UNIT Bolling Air Force Base ...at the Jet Propulsion Laboratories, and is writing two further papers for journal publication based on his PhD dissertation. In the winter of 1987

Miller Cave (23PU2), Fort Leonard Wood, Pulaski County, Missouri: Report of Archaeological Testing and Assessment of Damage

DTIC Science & Technology

1993-01-01

SECURITY CLASSIFICATION AUTHORITY 3. DISTRIBUTION JAVAILABIUITY OF REPORT 2b. DECLASSIFICATION I OWNGRAD)ING SCHEDULE I4. PERFORMING ORGANIZATION ...REPORT NUMBER(S) 5. MONITORING ORGANIZATION REPORT NUMBER(S) RESEARCH REPORT NO. 9 6a. NAME OF PERFORMING ORGANIZATION 6b. OFFICE SYMBOL 7a. NAME OF...MONITORING ORGANIZATION Markman & Associates, Inc.(I plcbe 6c. ADDRESS (City. State. and ZIP Code) 7b. ADDRESS (City. State. and ZIP Code) 824 N. Bl

An Assessment of Potential Soviet Responses to Evolving Theater Nuclear Systems.

DTIC Science & Technology

1987-06-05

ORGANIZATION REPORT NUMIBER(S) 5 MONITORING ORGANIZAODN REPORT NUMNBER(S) 6a NAM OFPERFORMING ORGANIZATION fib OFFICE SYMBOL 7& NAME OF MONITORING... ORGANIZATION 6C. ADDRESS (Oty. State, and ZIP Cod.) 7b ADDRESSC,ty, State, and ZIP Cod.) Vicksburg, MS 39180-0631 Ba AMEOF UNDNG SPOSORNG8b OFFICE SYMBOL...9 PROCuREMENT INSR~UMENT IDENTiCICATtON N%BER ORGANIZATION (If appliabe USAm op fEgnes DN’o~)1 Bk. ADDRESS (City, State, and ZIP Code) 10 SOURCE OF

Use of Medicaid and housing data may help target areas of ...

EPA Pesticide Factsheets

Objective: To determine if there was a significant difference between mold contamination and asthma prevalence in Detroit and non-Detroit Michigan homes, between newer and older homes, and if there is a correlation between mold contamination and measures of Medicaid use for asthma in the 25 Detroit zip codes. Methods: Settled dust was collected from homes (n = 113) of Detroit asthmatic children and from a representative group of Michigan homes (n = 43). The mold contamination for each home was measured using the Environmental Relative Moldiness Index (ERMI) scale and the mean ERMI values in Detroit and non-Detroit homes were statistically compared. Michigan Medicaid data (13 measures related to asthma) in each of the 25 zip codes in Detroit were tested for correlation to ERMI values for homes in those zip codes. Results: The mean ERMI value (14.5 ± 8.0) for Detroit asthmatic childrens' homes was significantly (Student's t-test, p 60 years old had significantly (p = 0.01) greater mean ERMI values than Detroit homes ≤ 60 years old (15.87 vs. 11.25). The percentage of children that underwent spirometry testing for their persistent asthma (based on Medicaid data) was significantly, positively correlated with the mean ERMI values of the homes in the 25 zip codes. Conclusions: Applying Medicaid-use data for spirometry testing and locating a city's older housing stock might help find foci of homes with high ERMI values. To further define the relationship between mo

Geographic Variation in Susceptibility to Ventilator-Associated Pneumonia After Traumatic Injury

PubMed Central

Zarzaur, Ben L.; Bell, Teresa; Croce, Martin A.; Fabian, Timothy C.

2013-01-01

Background Emphasis on prevention of healthcare-associated infections (HAI) including ventilator-associated pneumonia (VAP) has increased as hospitals are beginning to be held financially accountable for such infections. HAIs are often represented as being avoidable; however, the literature indicates that complete preventability may not be possible. The vast majority of research on risk factors for VAP concerns individual level factors. No studies have investigated the role of the patient's environment prior to admission. In this study we aim to investigate the potential role pre-hospital environment plays in VAP etiology. Methods In a retrospective cohort study, a sample of 5,031 trauma patients treated with mechanical ventilation between 1996–2010 was analyzed to determine the effect of neighborhood on the probability of developing VAP. We evaluated the effect of zip code using multilevel logistic regression analysis adjusting for individual level factors associated with VAP. Results We identified three zip codes with rates of ventilator-associated pneumonia that differed significantly from the mean. Logistic regression indicated that zip code, age, gender, race, injury severity, paralysis, head injury, and number of days on the ventilator were significantly associated with VAP. However, median zip code income was not. Conclusions Spatial factors that are independent of health care quality may potentiate the likelihood of a patient developing VAP and possibly other types of healthcare acquired infections. Un-modifiable environmental patient characteristics may predispose certain populations to developing infections in the setting of trauma. Level of Evidence III PMID:23823609

Unconventional Gas and Oil Drilling Is Associated with Increased Hospital Utilization Rates.

PubMed

Jemielita, Thomas; Gerton, George L; Neidell, Matthew; Chillrud, Steven; Yan, Beizhan; Stute, Martin; Howarth, Marilyn; Saberi, Pouné; Fausti, Nicholas; Penning, Trevor M; Roy, Jason; Propert, Kathleen J; Panettieri, Reynold A

2015-01-01

Over the past ten years, unconventional gas and oil drilling (UGOD) has markedly expanded in the United States. Despite substantial increases in well drilling, the health consequences of UGOD toxicant exposure remain unclear. This study examines an association between wells and healthcare use by zip code from 2007 to 2011 in Pennsylvania. Inpatient discharge databases from the Pennsylvania Healthcare Cost Containment Council were correlated with active wells by zip code in three counties in Pennsylvania. For overall inpatient prevalence rates and 25 specific medical categories, the association of inpatient prevalence rates with number of wells per zip code and, separately, with wells per km2 (separated into quantiles and defined as well density) were estimated using fixed-effects Poisson models. To account for multiple comparisons, a Bonferroni correction with associations of p<0.00096 was considered statistically significant. Cardiology inpatient prevalence rates were significantly associated with number of wells per zip code (p<0.00096) and wells per km2 (p<0.00096) while neurology inpatient prevalence rates were significantly associated with wells per km2 (p<0.00096). Furthermore, evidence also supported an association between well density and inpatient prevalence rates for the medical categories of dermatology, neurology, oncology, and urology. These data suggest that UGOD wells, which dramatically increased in the past decade, were associated with increased inpatient prevalence rates within specific medical categories in Pennsylvania. Further studies are necessary to address healthcare costs of UGOD and determine whether specific toxicants or combinations are associated with organ-specific responses.

Presence of animal feeding operations and community socioeconomic factors impact salmonellosis incidence rates: An ecological analysis using data from the Foodborne Diseases Active Surveillance Network (FoodNet), 2004-2010.

PubMed

Shaw, Kristi S; Cruz-Cano, Raul; Jiang, Chengsheng; Malayil, Leena; Blythe, David; Ryan, Patricia; Sapkota, Amy R

2016-10-01

Nontyphoidal Salmonella spp. are a leading cause of foodborne illness. Risk factors for salmonellosis include the consumption of contaminated chicken, eggs, pork and beef. Agricultural, environmental and socioeconomic factors also have been associated with rates of Salmonella infection. However, to our knowledge, these factors have not been modeled together at the community-level to improve our understanding of whether rates of salmonellosis are variable across communities defined by differing factors. To address this knowledge gap, we obtained data on culture-confirmed Salmonella Typhimurium, S. Enteritidis, S. Newport and S. Javiana cases (2004-2010; n=14,297) from the Foodborne Diseases Active Surveillance Network (FoodNet), and socioeconomic, environmental and agricultural data from the 2010 Census of Population and Housing, the 2011 American Community Survey, and the 2007 U.S. Census of Agriculture. We linked data by zip code and derived incidence rate ratios using negative binomial regressions. Multiple community-level factors were associated with salmonellosis rates; however, our findings varied by state. For example, in Georgia (Incidence Rate Ratio (IRR)=1.01; 95% Confidence Interval (CI)=1.005-1.015) Maryland (IRR=1.01; 95% CI=1.003-1.015) and Tennessee (IRR=1.01; 95% CI=1.002-1.012), zip codes characterized by greater rurality had higher rates of S. Newport infections. The presence of broiler chicken operations, dairy operations and cattle operations in a zip code also was associated with significantly higher rates of infection with at least one serotype in states that are leading producers of these animal products. For instance, in Georgia and Tennessee, rates of S. Enteritidis infection were 48% (IRR=1.48; 95% CI=1.12-1.95) and 46% (IRR=1.46; 95% CI=1.17-1.81) higher in zip codes with broiler chicken operations compared to those without these operations. In Maryland, New Mexico and Tennessee, higher poverty levels in zip codes were associated with higher rates of infection with one or more Salmonella serotypes. In Georgia and Tennessee, zip codes with higher percentages of the population composed of African Americans had significantly higher rates of infection with one or more Salmonella serotypes. In summary, our findings show that community-level agricultural, environmental and socioeconomic factors may be important with regard to rates of infection with Salmonella Typhimurium, Enteritidis, Newport and Javiana. Copyright © 2016 Elsevier Inc. All rights reserved.

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-11

DOT National Transportation Integrated Search

2013-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-07

DOT National Transportation Integrated Search

2013-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-09

DOT National Transportation Integrated Search

2013-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-08

DOT National Transportation Integrated Search

2013-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-11

DOT National Transportation Integrated Search

2012-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-04

DOT National Transportation Integrated Search

2012-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-08

DOT National Transportation Integrated Search

2012-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-04

DOT National Transportation Integrated Search

2013-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-12

DOT National Transportation Integrated Search

2012-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-12

DOT National Transportation Integrated Search

2009-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-06

DOT National Transportation Integrated Search

2012-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-09

DOT National Transportation Integrated Search

2012-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-03

DOT National Transportation Integrated Search

2013-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-07

DOT National Transportation Integrated Search

2012-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-10

DOT National Transportation Integrated Search

2013-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-10

DOT National Transportation Integrated Search

2012-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-01

DOT National Transportation Integrated Search

2013-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-12

DOT National Transportation Integrated Search

2013-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-02

DOT National Transportation Integrated Search

2013-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-05

DOT National Transportation Integrated Search

2013-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-06

DOT National Transportation Integrated Search

2013-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - U.S. Air Carriers Traffic and Capacity Data.

DOT National Transportation Integrated Search

2010-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-01

DOT National Transportation Integrated Search

2014-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-02

DOT National Transportation Integrated Search

2014-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-02

DOT National Transportation Integrated Search

2011-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-06

DOT National Transportation Integrated Search

2010-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-04

DOT National Transportation Integrated Search

2010-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-09

DOT National Transportation Integrated Search

2010-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-09

DOT National Transportation Integrated Search

2010-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-01

DOT National Transportation Integrated Search

2010-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-11

DOT National Transportation Integrated Search

2010-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-05

DOT National Transportation Integrated Search

2010-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-08

DOT National Transportation Integrated Search

2010-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-05

DOT National Transportation Integrated Search

2010-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-01

DOT National Transportation Integrated Search

2011-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-07

DOT National Transportation Integrated Search

2010-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-02

DOT National Transportation Integrated Search

2011-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-07

DOT National Transportation Integrated Search

2010-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-12

DOT National Transportation Integrated Search

2010-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-03

DOT National Transportation Integrated Search

2012-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-03

DOT National Transportation Integrated Search

2011-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-11

DOT National Transportation Integrated Search

2009-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-10

DOT National Transportation Integrated Search

2011-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-03

DOT National Transportation Integrated Search

2014-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-04

DOT National Transportation Integrated Search

2014-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-11

DOT National Transportation Integrated Search

2012-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-02

DOT National Transportation Integrated Search

2013-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-02

DOT National Transportation Integrated Search

2014-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-03

DOT National Transportation Integrated Search

2013-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-10

DOT National Transportation Integrated Search

2009-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-09

DOT National Transportation Integrated Search

2012-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-07

DOT National Transportation Integrated Search

2012-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-12

DOT National Transportation Integrated Search

2012-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-01

DOT National Transportation Integrated Search

2013-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-09

DOT National Transportation Integrated Search

2009-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-05

DOT National Transportation Integrated Search

2012-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-11

DOT National Transportation Integrated Search

2011-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-08

DOT National Transportation Integrated Search

2012-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-05

DOT National Transportation Integrated Search

2014-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-04

DOT National Transportation Integrated Search

2013-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-11

DOT National Transportation Integrated Search

2009-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-05

DOT National Transportation Integrated Search

2013-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-07

DOT National Transportation Integrated Search

2013-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-12

DOT National Transportation Integrated Search

2013-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-06

DOT National Transportation Integrated Search

2009-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-11

DOT National Transportation Integrated Search

2013-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-02

DOT National Transportation Integrated Search

2012-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-01

DOT National Transportation Integrated Search

2012-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-02

DOT National Transportation Integrated Search

2009-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-09

DOT National Transportation Integrated Search

2011-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-01

DOT National Transportation Integrated Search

2014-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-04

DOT National Transportation Integrated Search

2009-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-08

DOT National Transportation Integrated Search

2011-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-12

DOT National Transportation Integrated Search

2011-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-08

DOT National Transportation Integrated Search

2013-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-12

DOT National Transportation Integrated Search

2011-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-07

DOT National Transportation Integrated Search

2009-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-10

DOT National Transportation Integrated Search

2013-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2013-09

DOT National Transportation Integrated Search

2013-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2007-12

DOT National Transportation Integrated Search

2007-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2006-12

DOT National Transportation Integrated Search

2006-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2005-12

DOT National Transportation Integrated Search

2005-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-06

DOT National Transportation Integrated Search

2014-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-05

DOT National Transportation Integrated Search

2014-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2014-04

DOT National Transportation Integrated Search

2014-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-02

DOT National Transportation Integrated Search

2009-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-05

DOT National Transportation Integrated Search

2011-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-10

DOT National Transportation Integrated Search

2009-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-09

DOT National Transportation Integrated Search

2009-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-04

DOT National Transportation Integrated Search

2009-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-08

DOT National Transportation Integrated Search

2009-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2008-12

DOT National Transportation Integrated Search

2008-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-06

DOT National Transportation Integrated Search

2011-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-04

DOT National Transportation Integrated Search

2011-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-02

DOT National Transportation Integrated Search

2010-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-01

DOT National Transportation Integrated Search

2011-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-03

DOT National Transportation Integrated Search

2011-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-11

DOT National Transportation Integrated Search

2011-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-05

DOT National Transportation Integrated Search

2009-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-07

DOT National Transportation Integrated Search

2009-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2009-03

DOT National Transportation Integrated Search

2009-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-10

DOT National Transportation Integrated Search

2011-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-07

DOT National Transportation Integrated Search

2011-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-09

DOT National Transportation Integrated Search

2011-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2011-08

DOT National Transportation Integrated Search

2011-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-05

DOT National Transportation Integrated Search

2012-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DM - T-100 Domestic Market Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2012-02

DOT National Transportation Integrated Search

2012-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-08

DOT National Transportation Integrated Search

2010-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-01

DOT National Transportation Integrated Search

2010-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-04

DOT National Transportation Integrated Search

2010-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28DS - T-100 Domestic Segment Data (World Area Code) - US Air Carriers Traffic and Capacity Data : [2010-06

DOT National Transportation Integrated Search

2010-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Dermal Sensitization Potential of DIGL-RP Solid Propellant in Guinea Pigs

DTIC Science & Technology

1989-10-01

y ’,c. ADM$$S (ft, SWOt , &Wd ZIP Cod 7b. ADDRESS (City, State, arid ZIP Code) Letterman Army Institute of Research Fort Detrick Presidio of San...for contact sensitization. Toxicol Appl Pharmacol 1969; Suppl 3:90-102. 7. Buehler EV, Griffith JF. Experimental skin sensitization in the guinea pig

SAC (Strategic Air Command) Needs a Few Good Men and Women’ - A Guide to ICBM (Intercontinental Ballistic Missile) Operations Duty

DTIC Science & Technology

1988-04-01

Ditribufion is unlimited. 4 PERFORMING ORGANIZATION REPORT NUMBER(S) 5. MONITORING ORGANIZATION REPORT NUMBER(S) 88-0825 6a NAME OF PERFORMING ORGANIZATION 6b...OFFICE SYMBOL 7a. NAME OF MONITORING ORGANIZATION ACS C/EDC (If applicable) 6c. ADDRESS (City, State, and ZIP Code) 7b. ADDRESS (City, State, and...ZIP Code) MAXWELL AFB AL 36112-5542 8a. NAME OF FUNDING/SPONSORING 8b. OFFICE SYMBOL 9. PROCUREMENT INSTRUMENT IDENTIFICATION NUMBER ORGANIZATION (If

Dispersion Strengthening of High Temperature Niobium Alloys

DTIC Science & Technology

1988-05-31

Fig. 2 for the alloys containing ZrC and Ta6 Si3 respectively. The former shows classical age .hardening response with hardening followed by softening...tILE COP) ION STRENGTH’ENING OF HIGH TEMATURE NIOBIUM ALLOYS Prepared by D.L. Anton 00 D.B. Snow In) A.F. Giamei ANNUAL REPORT Contract F49620486-C...Center / ni .’ - k- ADDRESS (Ciy, State, and ZIP Code) 7b ADDRESS (City, State, and ZIP Code) East Hartford, CT 06108 7-Jc\\ 4 0 _ .F3 A.C 8a. NAME OF

The Roots of Social Protest in the Philippines and Their Effects on U.S. -R.P. Relations

DTIC Science & Technology

1990-12-01

the nation to follow; attain self-sufficiency for the nation in food, clothing and shelter ; create jobs so Filipinos could earn the money to secure...I AD-A242 312 NAVAL POSTGRADUATE SCHOOL Monterey, California DTIC OCT 3 THESIS THE ROOTS OF SOCIAL PROTEST IN THE PHILIPPINES AND THEIR EFFECTS ON... and ZIP Code) 7b. ADDRESS (City, State, and ZIP Code) Monterey. CA 93943-5100 MontereyCA 93943-5100 8a NAME OF FUNDING/SPONSORING 8b OFFICE SYMBOL 9

Vertical Windshear Below 5.5 Kilometers in the Vicinity of Berlin, Germany.

DTIC Science & Technology

1986-08-01

DIRECTORATE- L LEVITT ET AL . UNCL~ASSFE UG 66 AMSMI/TR-RD-RE-96-9 SBIAD-E951 031 F/G 4/2 N smmmmhhhhhm moommhmhhhuo im -~ L L0 MICROCOPY RESOLUTION TEST...AD-RI82 432 VERTICAL NINDSHEAR BELOW 55 KILOMETERS IN THE VICINITY 1/1 OF BERLIN GERMANY..(U) ARMY MISSILE COMMAND REDSTONE ARSENAL AL RESEARCH...ADDRESS (City, State, an ZIP Code) 7b ADDRESS (City, State, and ZIP Code) Comunder US Army Missile Coeypini ATTN4: AISMI-RO-RE Redstone Arsenal,* AL 35898

Collaborative Studies of Polar Cap Ionospheric Dynamics.

DTIC Science & Technology

1987-10-12

AQOIIRISS ICity. State ed Zip Code , 10. SOURCE OF PUNOING NOS. PROGRAM PROJECT TASK WORK .jNir ILE MgtNT NO. NO. NO. NO I TTL fneud ScuryCjMf,4,0...housing and the 3- stage thermoelectric cooler for the image plane detector. The operational principles that govern the application of the instrument are...Force Geophysics Laboratory 6c AOAGS J~iy. Sart A4 Z’P Cdol b. ADDRIESS (City. fE t ad ZIP Code , Anti Arbor, Mic higa n 4819HncmAFB Massachusetts 01731 A

Operation CeaseFire-New Orleans: an infectious disease model for addressing community recidivism from penetrating trauma.

PubMed

McVey, Erin; Duchesne, Juan C; Sarlati, Siavash; O'Neal, Michael; Johnson, Kelly; Avegno, Jennifer

2014-07-01

CeaseFire, using an infectious disease approach, addresses violence by partnering hospital resources with the community by providing violence interruption and community-based services for an area roughly composed of a single city zip code (70113). Community-based violence interrupters start in the trauma center from the moment penetrating trauma occurs, through hospital stay, and in the community after release. This study interprets statistics from this pilot program, begun May 2012. We hypothesize a decrease in penetrating trauma rates in the target area compared with others after program implementation. This was a 3-year prospective data collection of trauma registry from May 2010 to May 2013. All intentional, target area, penetrating trauma treated at our Level I trauma center received immediate activation of CeaseFire personnel. Incidences of violent trauma and rates of change, by zip code, were compared with the same period for 2 years before implementation. During this period, the yearly incidence of penetrating trauma in Orleans Parish increased. Four of the highest rates were found in adjacent zip codes: 70112, 70113, 70119, and 70125. Average rates per 100,000 were 722.7, 523.6, 286.4, and 248, respectively. These areas represent four of the six zip codes citywide that saw year-to-year increases in violent trauma during this period. Zip 70113 saw a lower rate of rise in trauma compared with 70112 and a higher but comparable rise compared with that of 70119 and 70125. Hospital-based intervention programs that partner with culturally appropriate personnel and resources outside the institution walls have potential to have meaningful impact over the long term. While few conclusions of the effect of such a program can be drawn in a 12-month period, we anticipate long-term changes in the numbers of penetrating injuries in the target area and in the rest of the city as this program expands. Therapeutic study, level IV.

14 CFR Sec. 19-7 - Passenger origin-destination survey.

Code of Federal Regulations, 2013 CFR

2013-01-01

... 14 Aeronautics and Space 4 2013-01-01 2013-01-01 false Passenger origin-destination survey. Sec... AIR CARRIERS Operating Statistics Classifications Sec. 19-7 Passenger origin-destination survey. (a... carriers) shall participate in a Passenger Origin-Destination (O & D) Survey covering domestic and...

14 CFR 19-7 - Passenger origin-destination survey.

Code of Federal Regulations, 2012 CFR

2012-01-01

... 14 Aeronautics and Space 4 2012-01-01 2012-01-01 false Passenger origin-destination survey. Sec... AIR CARRIERS Operating Statistics Classifications Sec. 19-7 Passenger origin-destination survey. (a... carriers) shall participate in a Passenger Origin-Destination (O & D) Survey covering domestic and...

14 CFR Sec. 19-7 - Passenger origin-destination survey.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 14 Aeronautics and Space 4 2014-01-01 2014-01-01 false Passenger origin-destination survey. Sec... AIR CARRIERS Operating Statistics Classifications Sec. 19-7 Passenger origin-destination survey. (a... carriers) shall participate in a Passenger Origin-Destination (O & D) Survey covering domestic and...

Increased Rate of Hospitalization for Diabetes and Residential Proximity of Hazardous Waste Sites

PubMed Central

Kouznetsova, Maria; Huang, Xiaoyu; Ma, Jing; Lessner, Lawrence; Carpenter, David O.

2007-01-01

Background Epidemiologic studies suggest that there may be an association between environmental exposure to persistent organic pollutants (POPs) and diabetes. Objective The aim of this study was to test the hypothesis that residential proximity to POP-contaminated waste sites result in increased rates of hospitalization for diabetes. Methods We determined the number of hospitalized patients 25–74 years of age diagnosed with diabetes in New York State exclusive of New York City for the years 1993–2000. Descriptive statistics and negative binomial regression were used to compare diabetes hospitalization rates in individuals who resided in ZIP codes containing or abutting hazardous waste sites containing POPs (“POP” sites); ZIP codes containing hazardous waste sites but with wastes other than POPs (“other” sites); and ZIP codes without any identified hazardous waste sites (“clean” sites). Results Compared with the hospitalization rates for diabetes in clean sites, the rate ratios for diabetes discharges for people residing in POP sites and “other” sites, after adjustment for potential confounders were 1.23 [95% confidence interval (CI), 1.15–1.32] and 1.25 (95% CI, 1.16–1.34), respectively. In a subset of POP sites along the Hudson River, where there is higher income, less smoking, better diet, and more exercise, the rate ratio was 1.36 (95% CI, 1.26–1.47) compared to clean sites. Conclusions After controlling for major confounders, we found a statistically significant increase in the rate of hospitalization for diabetes among the population residing in the ZIP codes containing toxic waste sites. PMID:17366823

Neighborhood walkability and active travel (walking and cycling) in New York City.

PubMed

Freeman, Lance; Neckerman, Kathryn; Schwartz-Soicher, Ofira; Quinn, James; Richards, Catherine; Bader, Michael D M; Lovasi, Gina; Jack, Darby; Weiss, Christopher; Konty, Kevin; Arno, Peter; Viola, Deborah; Kerker, Bonnie; Rundle, Andrew G

2013-08-01

Urban planners have suggested that built environment characteristics can support active travel (walking and cycling) and reduce sedentary behavior. This study assessed whether engagement in active travel is associated with neighborhood walkability measured for zip codes in New York City. Data were analyzed on engagement in active travel and the frequency of walking or biking ten blocks or more in the past month, from 8,064 respondents to the New York City 2003 Community Health Survey (CHS). A neighborhood walkability scale that measures: residential, intersection, and subway stop density; land use mix; and the ratio of retail building floor area to retail land area was calculated for each zip code. Data were analyzed using zero-inflated negative binomial regression incorporating survey sample weights and adjusting for respondents' sociodemographic characteristics. Overall, 44 % of respondents reported no episodes of active travel and among those who reported any episode, the mean number was 43.2 episodes per month. Comparing the 75th to the 25th percentile of zip code walkability, the odds ratio for reporting zero episodes of active travel was 0.71 (95 % CI 0.61, 0.83) and the exponentiated beta coefficient for the count of episodes of active travel was 1.13 (95 % CI 1.06, 1.21). Associations between lower walkability and reporting zero episodes of active travel were significantly stronger for non-Hispanic Whites as compared to non-Hispanic Blacks and to Hispanics and for those living in higher income zip codes. The results suggest that neighborhood walkability is associated with higher engagement in active travel.

Need for and Access to Supportive Services in the Child Welfare System

PubMed Central

Freisthler, Bridget

2011-01-01

Objective The purpose of this paper is to examine how geographical availability of social services is related to foster care entry rates and referrals for child maltreatment investigations. The primary concerns are to (1) determine locations across Los Angeles County where the availability of social services is low but display a high need for those services and (2) begin to examine how the geographic distribution of social services is related to rates of referrals and foster care entries in child maltreatment. Methods Archival data for all 288 zip codes within Los Angeles County were collected on rates of referrals, foster care entries, location and types of social service agencies, and zip code demographics. Data were analyzed using point process models and spatial regressions. Results Higher densities of child welfare services in local areas (for referrals) and lagged areas (for referrals and foster care entries) were related to lower rates of child maltreatment. The density of housing and housing-related services was negatively related to referrals in local areas and foster care entry rates in lagged areas. Areas with higher densities of substance abuse and domestic violence service agencies had significantly higher rates of both Child Protective Services (CPS) referrals and entries into foster care in local areas. Conclusions While the total density of child welfare services within and surrounding zip code areas is related to lower rates of referrals and foster care entries, the findings are less clear about what those specific services are. Living in and around “resource rich” zip codes may reduce rates of child maltreatment. PMID:23788827

Practice Location Characteristics of Non-Traditional Dental Practices.

PubMed

Solomon, Eric S; Jones, Daniel L

2016-04-01

Current and future dental school graduates are increasingly likely to choose a non-traditional dental practice-a group practice managed by a dental service organization or a corporate practice with employed dentists-for their initial practice experience. In addition, the growth of non-traditional practices, which are located primarily in major urban areas, could accelerate the movement of dentists to those areas and contribute to geographic disparities in the distribution of dental services. To help the profession understand the implications of these developments, the aim of this study was to compare the location characteristics of non-traditional practices and traditional dental practices. After identifying non-traditional practices across the United States, the authors located those practices and traditional dental practices geographically by zip code. Non-traditional dental practices were found to represent about 3.1% of all dental practices, but they had a greater impact on the marketplace with almost twice the average number of staff and annual revenue. Virtually all non-traditional dental practices were located in zip codes that also had a traditional dental practice. Zip codes with non-traditional practices had significant differences from zip codes with only a traditional dental practice: the populations in areas with non-traditional practices had higher income levels and higher education and were slightly younger and proportionally more Hispanic; those practices also had a much higher likelihood of being located in a major metropolitan area. Dental educators and leaders need to understand the impact of these trends in the practice environment in order to both prepare graduates for practice and make decisions about planning for the workforce of the future.

Association between Residential Proximity to Fuel-Fired Power Plants and Hospitalization Rate for Respiratory Diseases

PubMed Central

Liu, Xiaopeng; Lessner, Lawrence

2012-01-01

Background: Air pollution is known to cause respiratory disease. Unlike motor vehicle sources, fuel-fired power plants are stationary. Objective: Using hospitalization data, we examined whether living near a fuel-fired power plant increases the likelihood of hospitalization for respiratory disease. Methods: Rates of hospitalization for asthma, acute respiratory infection (ARI), and chronic obstructive pulmonary disease (COPD) were estimated using hospitalization data for 1993–2008 from New York State in relation to data for residences near fuel-fired power plants. We also explored data for residential proximity to hazardous waste sites. Results: After adjusting for age, sex, race, median household income, and rural/urban residence, there were significant 11%, 15%, and 17% increases in estimated rates of hospitalization for asthma, ARI, and COPD, respectively, among individuals > 10 years of age living in a ZIP code containing a fuel-fired power plant compared with one that had no power plant. Living in a ZIP code with a fuel-fired power plant was not significantly associated with hospitalization for asthma or ARI among children < 10 years of age. Living in a ZIP code with a hazardous waste site was associated with hospitalization for all outcomes in both age groups, and joint effect estimates were approximately additive for living in a ZIP code that contained a fuel-fired power plant and a hazardous waste site. Conclusions: Our results are consistent with the hypothesis that exposure to air pollution from fuel-fired power plants and volatile compounds coming from hazardous waste sites increases the risk of hospitalization for respiratory diseases. PMID:22370087

Programs and Place: Risk and Asset Mapping for Fall Prevention

PubMed Central

Smith, Matthew Lee; Towne, Samuel D.; Motlagh, Audry S.; Smith, Donald R.; Boolani, Ali; Horel, Scott A.; Ory, Marcia G.

2017-01-01

Identifying ways to measure access, availability, and utilization of health-care services, relative to at-risk areas or populations, is critical in providing practical and actionable information to key stakeholders. This study identified the prevalence and geospatial distribution of fall-related emergency medical services (EMS) calls in relation to the delivery of an evidence-based fall prevention program in Tarrant County, Texas over a 3-year time period. It aims to educate public health professionals and EMS first respondents about the application of geographic information system programs to identify risk-related “hot spots,” service gaps, and community assets to reduce falls among older adults. On average, 96.09 (±108.65) calls were received per ZIP Code (ranging from 0 calls to 386 calls). On average, EMS calls per ZIP Code increased from 30.80 (±34.70) calls in 2009 to 33.75 (±39.58) calls in 2011, which indicate a modest annual call increase over the 3-year study period. The percent of ZIP Codes offering A Matter of Balance/Volunteer Lay Leader Model (AMOB/VLL) workshops increased from 27.3% in 2009 to 34.5% in 2011. On average, AMOB/VLL workshops were offered in ZIP Codes with more fall-related EMS calls over the 3-year study period. Findings suggest that the study community was providing evidence-based fall prevention programming (AMOB/VLL workshops) in higher-risk areas. Opportunities for strategic service expansion were revealed through the identification of fall-related hot spots and asset mapping. PMID:28361049

Unconventional Gas and Oil Drilling Is Associated with Increased Hospital Utilization Rates

PubMed Central

Neidell, Matthew; Chillrud, Steven; Yan, Beizhan; Stute, Martin; Howarth, Marilyn; Saberi, Pouné; Fausti, Nicholas; Penning, Trevor M.; Roy, Jason; Propert, Kathleen J.; Panettieri, Reynold A.

2015-01-01

Over the past ten years, unconventional gas and oil drilling (UGOD) has markedly expanded in the United States. Despite substantial increases in well drilling, the health consequences of UGOD toxicant exposure remain unclear. This study examines an association between wells and healthcare use by zip code from 2007 to 2011 in Pennsylvania. Inpatient discharge databases from the Pennsylvania Healthcare Cost Containment Council were correlated with active wells by zip code in three counties in Pennsylvania. For overall inpatient prevalence rates and 25 specific medical categories, the association of inpatient prevalence rates with number of wells per zip code and, separately, with wells per km2 (separated into quantiles and defined as well density) were estimated using fixed-effects Poisson models. To account for multiple comparisons, a Bonferroni correction with associations of p<0.00096 was considered statistically significant. Cardiology inpatient prevalence rates were significantly associated with number of wells per zip code (p<0.00096) and wells per km2 (p<0.00096) while neurology inpatient prevalence rates were significantly associated with wells per km2 (p<0.00096). Furthermore, evidence also supported an association between well density and inpatient prevalence rates for the medical categories of dermatology, neurology, oncology, and urology. These data suggest that UGOD wells, which dramatically increased in the past decade, were associated with increased inpatient prevalence rates within specific medical categories in Pennsylvania. Further studies are necessary to address healthcare costs of UGOD and determine whether specific toxicants or combinations are associated with organ-specific responses. PMID:26176544

Issues in Performance Measurement for Military Aviation with Applications to Air Combat Maneuvering

DTIC Science & Technology

1986-04-04

Systems Center 6c. ADDRESS (City, State, and ZIP Co*e) 7b. ADDRESS (City. State, and ZIP Code) 1040 Woodcock Road, Suite 227 Orlando, FL 32813-7100...NTSC TR-86-008 Vreuls, D., Obermayer, R. W., Goldstein, I. & Lauber, J. K. (1973). Measurement of trainee performance in a captive rotary- wing device

Geographic variation and effect of area-level poverty rate on colorectal cancer screening.

PubMed

Lian, Min; Schootman, Mario; Yun, Shumei

2008-10-16

With a secular trend of increasing colorectal cancer (CRC) screening, concerns about disparities in CRC screening also have been rising. It is unclear if CRC screening varies geographically, if area-level poverty rate affects CRC screening, and if individual-level characteristics mediate the area-level effects on CRC screening. Using 2006 Missouri Behavioral Risk Factor Surveillance System (BRFSS) data, a multilevel study was conducted to examine geographic variation and the effect of area-level poverty rate on CRC screening use among persons age 50 or older. Individuals were nested within ZIP codes (ZIP5 areas), which in turn, were nested within aggregations of ZIP codes (ZIP3 areas). Six groups of individual-level covariates were considered as potential mediators. An estimated 51.8% of Missourians aged 50 or older adhered to CRC screening recommendations. Nearly 15% of the total variation in CRC screening lay between ZIP5 areas. Persons residing in ZIP5 areas with > or = 10% of poverty rate had lower odds of CRC screening use than those residing in ZIP5 areas with <10% poverty rate (unadjusted odds ratio [OR], 0.69; 95% confidence interval [95% CI], 0.58-0.81; adjusted OR, 0.81; 95% CI, 0.67-0.98). Persons who resided in ZIP3 areas with > or = 20% poverty rate also had lower odds of following CRC screening guidelines than those residing in ZIP3 areas with <20% poverty rate (unadjusted OR, 0.66; 95% CI, 0.52-0.83; adjusted OR, 0.64; 95% CI, 0.50-0.83). Obesity, history of depression/anxiety and access to care were associated with CRC screening, but did not mediate the effect of area-level poverty on CRC screening. Large geographic variation of CRC screening exists in Missouri. Area-level poverty rate, independent of individual-level characteristics, is a significant predictor of CRC screening, but it only explains a small portion of the geographic heterogeneity of CRC screening. Individual-level factors we examined do not mediate the effect of the area-level poverty rate on CRC screening. Future studies should identify other area- and individual-level characteristics associated with CRC screening in Missouri.

The Changing Relationship between Origins, Education and Destinations in the 1990s and 2000s

ERIC Educational Resources Information Center

Devine, Fiona; Li, Yaojun

2013-01-01

This paper examines the changing relationship between origins, education and destinations in mobility processes. The meritocracy thesis suggests the relationships between origins and education and between origins and destination will weaken while the relationship between education and destinations will strengthen. Comparing data from the 1991…

The Association Between Neighborhood Poverty and HIV Diagnoses Among Males and Females in New York City, 2010-2011.

PubMed

Wiewel, Ellen W; Bocour, Angelica; Kersanske, Laura S; Bodach, Sara D; Xia, Qiang; Braunstein, Sarah L

2016-01-01

We assessed the association of neighborhood poverty with HIV diagnosis rates for males and females in New York City. We calculated annual HIV diagnosis rates by ZIP Code, sex, and neighborhood poverty level using 2010-2011 New York City (NYC) HIV surveillance data and data from the U.S. Census 2010 and American Community Survey 2007-2011. Neighborhood poverty levels were percentage of residents in a ZIP Code with incomes below the federal poverty threshold, categorized as 0%-<10% (low poverty), 10%-<20% (medium poverty), 20%-<30% (high poverty), and 30%-100% (very high poverty). We used sex-stratified negative binomial regression models to measure the association between neighborhood-level poverty and HIV diagnosis rates, controlling for neighborhood-level education, race/ethnicity, age, and percentage of men who have sex with men. In 2010-2011, 6,184 people were newly diagnosed with HIV. Median diagnosis rates per 100,000 population increased by neighborhood poverty level overall (13.7, 34.3, 50.6, and 75.6 for low-, medium-, high-, and very high-poverty ZIP Codes, respectively), for males, and for females. In regression models, higher neighborhood poverty remained associated with higher diagnosis rates among males (adjusted rate ratio [ARR] = 1.63, 95% confidence interval [CI] 1.34, 1.97) and females (ARR=2.14, 95% CI 1.46, 3.14) for very high- vs. low-poverty ZIP Codes. Living in very high- vs. low-poverty urban neighborhoods was associated with increased HIV diagnosis rates. After controlling for other factors, the association between poverty and diagnosis rates was stronger among females than among males. Alleviating poverty may help decrease HIV-related disparities.

The price may not be right: the value of comparison shopping for prescription drugs.

PubMed

Arora, Sanjay; Sood, Neeraj; Terp, Sophie; Joyce, Geoffrey

2017-07-01

To measure variations in drug prices across and within zip codes that may reveal simple strategies to improve patients' access to prescribed medications. We compared drug prices at different types of pharmacies across and within local markets. In-store prices were compared with a Web-based service providing discount coupons for prescription medications. Prices were collected for 2 generic antibiotics because most patients have limited experience with them and are less likely to know the price ranges for them. Drug prices were obtained via telephone from 528 pharmacies in Los Angeles (LA) County, California, from July to August 2014. Online prices were collected from GoodRx, a popular Web-based service that aggregates available discounts and directly negotiates with retail outlets. Drug prices found at independent pharmacies and by using discount coupons available online were lower on average than at grocery, big-box, or chain drug stores for 2 widely prescribed antibiotics. The lowest-price prescription was offered at a grocery, big-box, or chain drug store in 6% of zip codes within the LA County area. Drug prices varied dramatically within a zip code, however, and were less expensive in lower-income areas. The average price difference within a zip code was $52 for levofloxacin and $17 for azithromycin. Price shopping for medications within a small geographic area can yield considerable cost savings for the uninsured and consumers in high-deductible health plans with high negotiated prices. Clinicians and patient advocates have an incentive to convey this information to patients to improve adherence to prescribed medicines and lower the financial burden of purchasing prescription drugs.

Impact of Medicaid disenrollment in Tennessee on breast cancer stage at diagnosis and treatment.

PubMed

Tarazi, Wafa W; Bradley, Cathy J; Bear, Harry D; Harless, David W; Sabik, Lindsay M

2017-09-01

States routinely may consider rollbacks of Medicaid expansions to address statewide economic conditions. To the authors' knowledge, little is known regarding the effects of public insurance contractions on health outcomes. The current study examined the effects of the 2005 Medicaid disenrollment in Tennessee on breast cancer stage at the time of diagnosis and delays in treatment among nonelderly women. The authors used Tennessee Cancer Registry data from 2002 through 2008 and estimated a difference-in-difference model comparing women diagnosed with breast cancer who lived in low-income zip codes (and therefore were more likely to be subject to disenrollment) with a similar group of women who lived in high-income zip codes before and after the 2005 Medicaid disenrollment. The study outcomes were changes in stage of disease at the time of diagnosis and delays in treatment of >60 days and >90 days. Overall, nonelderly women in Tennessee were diagnosed at later stages of disease and experienced more delays in treatment in the period after disenrollment. Disenrollment was found to be associated with a 3.3-percentage point increase in late stage of disease at the time of diagnosis (P = .024), a 1.9-percentage point decrease in having a delay of >60 days in surgery (P = .024), and a 1.4-percentage point decrease in having a delay of >90 days in treatment (P = .054) for women living in low-income zip codes compared with women residing in high-income zip codes. The results of the current study indicate that Medicaid disenrollment is associated with a later stage of disease at the time of breast cancer diagnosis, thereby providing evidence of the potential negative health impacts of Medicaid contractions. Cancer 2017;123:3312-9. © 2017 American Cancer Society. © 2017 American Cancer Society.

Improving Hospital Reporting of Patient Race and Ethnicity--Approaches to Data Auditing.

PubMed

Zingmond, David S; Parikh, Punam; Louie, Rachel; Lichtensztajn, Daphne Y; Ponce, Ninez; Hasnain-Wynia, Romana; Gomez, Scarlett Lin

2015-08-01

To investigate new metrics to improve the reporting of patient race and ethnicity (R/E) by hospitals. California Patient Discharge Database (PDD) and birth registry, 2008-2009, Healthcare and Cost Utilization Project's State Inpatient Database, 2008-2011, cancer registry 2000-2008, and 2010 US Census Summary File 2. We examined agreement between hospital reported R/E versus self-report among mothers delivering babies and a cancer cohort in California. Metrics were created to measure root mean squared differences (RMSD) by hospital between reported R/E distribution and R/E estimates using R/E distribution within each patient's zip code of residence. RMSD comparisons were made to corresponding "gold standard" facility-level measures within the maternal cohort for California and six comparison states. Maternal birth hospitalization (linked to the state birth registry) and cancer cohort records linked to preceding and subsequent hospitalizations. Hospital discharges were linked to the corresponding Census zip code tabulation area using patient zip code. Overall agreement between the PDD and the gold standard for the maternal cohort was 86 percent for the combined R/E measure and 71 percent for race alone. The RMSD measure is modestly correlated with the summary level gold standard measure for R/E (r = 0.44). The RMSD metric revealed general improvement in data agreement and completeness across states. "Other" and "unknown" categories were inconsistently applied within inpatient databases. Comparison between reported R/E and R/E estimates using zip code level data may be a reasonable first approach to evaluate and track hospital R/E reporting. Further work should focus on using more granular geocoded data for estimates and tracking data to improve hospital collection of R/E data. © Health Research and Educational Trust.

Differences in prescription opioid analgesic availability: comparing minority and white pharmacies across Michigan.

PubMed

Green, Carmen R; Ndao-Brumblay, S Khady; West, Brady; Washington, Tamika

2005-10-01

Little is known about physical barriers to adequate pain treatment for minorities. This investigation explored sociodemographic determinants of pain medication availability in Michigan pharmacies. A cross-sectional survey-based study with census data and data provided by Michigan community retail pharmacists was designed. Sufficient opioid analgesic supplies was defined as stocking at least one long-acting, short-acting, and combination opioid analgesic. Pharmacies located in minority (or=70% white residents) zip code areas were randomly selected by using a 2-stage sampling selection process (response rate, 80%). For the 190 pharmacies surveyed, most were located in white areas (51.6%) and had sufficient supplies (84.1%). After accounting for zip code median age and stratifying by income, pharmacies in white areas (odds ratio, 13.36 high income vs 54.42 low income) and noncorporate pharmacies (odds ratio, 24.92 high income vs 3.61 low income) were more likely to have sufficient opioid analgesic supplies (P < .005). Racial differences in the odds of having a sufficient supply were significantly higher in low income areas when compared with high income areas. Having a pharmacy located near a hospital did not change the availability for opioid analgesics. Persons living in predominantly minority areas experienced significant barriers to accessing pain medication, with greater disparities in low income areas regardless of ethnic composition. Differences were also found on the basis of pharmacy type, suggesting variability in pharmacist's decision making. Michigan pharmacies in minority zip codes were 52 times less likely to carry sufficient opioid analgesics than pharmacies in white zip codes regardless of income. Lower income areas and corporate pharmacies were less likely to carry sufficient opioid analgesics. This study illustrates barriers to pain care and has public health implications.

The Association Between Neighborhood Poverty and HIV Diagnoses Among Males and Females in New York City, 2010–2011

PubMed Central

Bocour, Angelica; Kersanske, Laura S.; Bodach, Sara D.; Xia, Qiang; Braunstein, Sarah L.

2016-01-01

Objective We assessed the association of neighborhood poverty with HIV diagnosis rates for males and females in New York City. Methods We calculated annual HIV diagnosis rates by ZIP Code, sex, and neighborhood poverty level using 2010–2011 New York City (NYC) HIV surveillance data and data from the U.S. Census 2010 and American Community Survey 2007–2011. Neighborhood poverty levels were percentage of residents in a ZIP Code with incomes below the federal poverty threshold, categorized as 0%–<10% (low poverty), 10%–<20% (medium poverty), 20%–<30% (high poverty), and 30%–100% (very high poverty). We used sex-stratified negative binomial regression models to measure the association between neighborhood-level poverty and HIV diagnosis rates, controlling for neighborhood-level education, race/ethnicity, age, and percentage of men who have sex with men. Results In 2010–2011, 6,184 people were newly diagnosed with HIV. Median diagnosis rates per 100,000 population increased by neighborhood poverty level overall (13.7, 34.3, 50.6, and 75.6 for low-, medium-, high-, and very high-poverty ZIP Codes, respectively), for males, and for females. In regression models, higher neighborhood poverty remained associated with higher diagnosis rates among males (adjusted rate ratio [ARR] = 1.63, 95% confidence interval [CI] 1.34, 1.97) and females (ARR=2.14, 95% CI 1.46, 3.14) for very high- vs. low-poverty ZIP Codes. Conclusion Living in very high- vs. low-poverty urban neighborhoods was associated with increased HIV diagnosis rates. After controlling for other factors, the association between poverty and diagnosis rates was stronger among females than among males. Alleviating poverty may help decrease HIV-related disparities. PMID:26957664

Evolutionary Descent of Prion Genes from the ZIP Family of Metal Ion Transporters

PubMed Central

Schmitt-Ulms, Gerold; Ehsani, Sepehr; Watts, Joel C.; Westaway, David; Wille, Holger

2009-01-01

In the more than twenty years since its discovery, both the phylogenetic origin and cellular function of the prion protein (PrP) have remained enigmatic. Insights into a possible function of PrP may be obtained through the characterization of its molecular neighborhood in cells. Quantitative interactome data demonstrated the spatial proximity of two metal ion transporters of the ZIP family, ZIP6 and ZIP10, to mammalian prion proteins in vivo. A subsequent bioinformatic analysis revealed the unexpected presence of a PrP-like amino acid sequence within the N-terminal, extracellular domain of a distinct sub-branch of the ZIP protein family that includes ZIP5, ZIP6 and ZIP10. Additional structural threading and orthologous sequence alignment analyses argued that the prion gene family is phylogenetically derived from a ZIP-like ancestral molecule. The level of sequence homology and the presence of prion protein genes in most chordate species place the split from the ZIP-like ancestor gene at the base of the chordate lineage. This relationship explains structural and functional features found within mammalian prion proteins as elements of an ancient involvement in the transmembrane transport of divalent cations. The phylogenetic and spatial connection to ZIP proteins is expected to open new avenues of research to elucidate the biology of the prion protein in health and disease. PMID:19784368

Validity and reliability of the Fitbit Zip as a measure of preschool children’s step count

PubMed Central

Sharp, Catherine A; Mackintosh, Kelly A; Erjavec, Mihela; Pascoe, Duncan M; Horne, Pauline J

2017-01-01

Objectives Validation of physical activity measurement tools is essential to determine the relationship between physical activity and health in preschool children, but research to date has not focused on this priority. The aims of this study were to ascertain inter-rater reliability of observer step count, and interdevice reliability and validity of Fitbit Zip accelerometer step counts in preschool children. Methods Fifty-six children aged 3–4 years (29 girls) recruited from 10 nurseries in North Wales, UK, wore two Fitbit Zip accelerometers while performing a timed walking task in their childcare settings. Accelerometers were worn in secure pockets inside a custom-made tabard. Video recordings enabled two observers to independently code the number of steps performed in 3 min by each child during the walking task. Intraclass correlations (ICCs), concordance correlation coefficients, Bland-Altman plots and absolute per cent error were calculated to assess the reliability and validity of the consumer-grade device. Results An excellent ICC was found between the two observer codings (ICC=1.00) and the two Fitbit Zips (ICC=0.91). Concordance between the Fitbit Zips and observer counts was also high (r=0.77), with an acceptable absolute per cent error (6%–7%). Bland-Altman analyses identified a bias for Fitbit 1 of 22.8±19.1 steps with limits of agreement between −14.7 and 60.2 steps, and a bias for Fitbit 2 of 25.2±23.2 steps with limits of agreement between −20.2 and 70.5 steps. Conclusions Fitbit Zip accelerometers are a reliable and valid method of recording preschool children’s step count in a childcare setting. PMID:29081984

WASHINGTON DAIRIES

EPA Science Inventory

The dairy_wa.zip file is a zip file containing an Arc/Info export file and a text document. Note the DISCLAIM.TXT file as these data are not verified. Map extent: statewide. Input Source: Address database obtained from Wa Dept of Agriculture. Data was originally developed und...

Spatial panel analyses of alcohol outlets and motor vehicle crashes in California: 1999–2008

PubMed Central

Ponicki, William R.; Gruenewald, Paul J.; Remer, Lillian G.

2014-01-01

Although past research has linked alcohol outlet density to higher rates of drinking and many related social problems, there is conflicting evidence of density’s association with traffic crashes. An abundance of local alcohol outlets simultaneously encourages drinking and reduces driving distances required to obtain alcohol, leading to an indeterminate expected impact on alcohol-involved crash risk. This study separately investigates the effects of outlet density on (1) the risk of injury crashes relative to population and (2) the likelihood that any given crash is alcohol-involved, as indicated by police reports and single-vehicle nighttime status of crashes. Alcohol outlet density effects are estimated using Bayesian misalignment Poisson analyses of all California ZIP codes over the years 1999–2008. These misalignment models allow panel analysis of ZIP-code data despite frequent redefinition of postal-code boundaries, while also controlling for overdispersion and the effects of spatial autocorrelation. Because models control for overall retail density, estimated alcohol-outlet associations represent the extra effect of retail establishments selling alcohol. The results indicate a number of statistically well-supported associations between retail density and crash behavior, but the implied effects on crash risks are relatively small. Alcohol-serving restaurants have a greater impact on overall crash risks than on the likelihood that those crashes involve alcohol, whereas bars primarily affect the odds that crashes are alcohol-involved. Off-premise outlet density is negatively associated with risks of both crashes and alcohol involvement, while the presence of a tribal casino in a ZIP code is linked to higher odds of police-reported drinking involvement. Alcohol outlets in a given area are found to influence crash risks both locally and in adjacent ZIP codes, and significant spatial autocorrelation also suggests important relationships across geographical units. These results suggest that each type of alcohol outlet can have differing impacts on risks of crashing as well as the alcohol involvement of those crashes. PMID:23537623

Why Wars End: An Expected Utility War Termination Model

DTIC Science & Technology

1992-04-15

any o( I, qelei. Thk document may not be rMeed for ope pubjckdoa untu it huA been deared by de appropriate militUay e r "e r aovsmment agency. WHY WARS...MONITORING ORGANIZATION 4I r U11f (if applicable) 6c. ADDRESS (City, State, and ZIP Code) 7b. ADDRESS (City. State, and ZIP Code) /Z OCT HfuL.I(i RL...Classification) ~ LA.’ 7Z f/ ’YA 479 , 12. PERSONAL AUTHOR(S) 𔃾 M70?’ 7- 04ŝ’- r -71 on6, .13 . TYPE OF REPORT 113b. TIME COVERED 14- DATE OF REPORT

Privacy protection versus cluster detection in spatial epidemiology.

PubMed

Olson, Karen L; Grannis, Shaun J; Mandl, Kenneth D

2006-11-01

Patient data that includes precise locations can reveal patients' identities, whereas data aggregated into administrative regions may preserve privacy and confidentiality. We investigated the effect of varying degrees of address precision (exact latitude and longitude vs the center points of zip code or census tracts) on detection of spatial clusters of cases. We simulated disease outbreaks by adding supplementary spatially clustered emergency department visits to authentic hospital emergency department syndromic surveillance data. We identified clusters with a spatial scan statistic and evaluated detection rate and accuracy. More clusters were identified, and clusters were more accurately detected, when exact locations were used. That is, these clusters contained at least half of the simulated points and involved few additional emergency department visits. These results were especially apparent when the synthetic clustered points crossed administrative boundaries and fell into multiple zip code or census tracts. The spatial cluster detection algorithm performed better when addresses were analyzed as exact locations than when they were analyzed as center points of zip code or census tracts, particularly when the clustered points crossed administrative boundaries. Use of precise addresses offers improved performance, but this practice must be weighed against privacy concerns in the establishment of public health data exchange policies.

Possible etiologies of increased incidence of gastroschisis.

PubMed

Souther, Christina; Puapong, Devin P; Woo, Russell; Johnson, Sidney M

2017-11-01

Gastroschisis incidence has increased over the past decade nationally and in Hawaii. Pesticides have been implicated as potential causative factors for gastroschisis, and use of restricted use pesticides (RUPs) is widespread in Hawaii. This study was conducted to characterize gastroschisis cases in Hawaii and determine whether RUP application correlates with gastroschisis incidence. Gastroschisis patients treated in Hawaii between September, 2008 and August, 2015 were mapped by zip code along with RUP use. Spatial analysis software was used to identify patients' homes located within the pesticide application zone and agricultural land use areas. 71 gastroschisis cases were identified. 2.8% of patients were from Kauai, 64.8% from Oahu, 16.9% from Hawaii, 14.1% from Maui, and 1.4% from Molokai. RUPs have been used on all of these islands. 78.9% of patients lived in zip codes overlapping agricultural land use areas. 85.9% of patients shared zip codes with RUP-use areas. The majority of gastroschisis patients were from RUP-use areas, supporting the idea that pesticides may contribute to the development of gastroschisis, although limited data on specific releases make it difficult to apply these findings. As more RUP-use data become available to the public, these important research questions can be investigated further.

A Database Management System Application for the Graduate Programs Office of the School of Systems and Logistics. Volume 2. Technical Reference Manual

DTIC Science & Technology

1988-09-01

CIT C 15 Name of local city. InCSrATE C 2 Name of local state as tw letter abbreviatiom. SIC ZIP C 10 Loa ZIP code. Five or nine digits . InC_ PHKtE C 15...record: 10 Database Dictimary for C: \\ BASE\\PAS1E.MF Field Nane Type Width Decimal Coments PMSCODE C 2 Third and fourth digits of PAS code. ON C 3...Version: 3.01 Date: 09/01/88 Time: 21:34 Report Libary : C: ASE\\GPO.RP1 Date: 08/28/88 Time: 11:32 PRMNT OFTICNS CflRL-PRINrM Nmber of copies: 1 Starting

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-09

DOT National Transportation Integrated Search

2008-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, U.S. and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (U.S. Point and Foreign Point).

DOT National Transportation Integrated Search

2009-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, U.S. and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (U.S. Point and Foreign Point).

DOT National Transportation Integrated Search

2009-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-07

DOT National Transportation Integrated Search

2011-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-01

DOT National Transportation Integrated Search

2013-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-05

DOT National Transportation Integrated Search

2013-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2007-12

DOT National Transportation Integrated Search

2007-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-05

DOT National Transportation Integrated Search

2011-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-02

DOT National Transportation Integrated Search

2012-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-01

DOT National Transportation Integrated Search

2008-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-12

DOT National Transportation Integrated Search

2011-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-04

DOT National Transportation Integrated Search

2008-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-02

DOT National Transportation Integrated Search

2013-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-08

DOT National Transportation Integrated Search

2011-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-07

DOT National Transportation Integrated Search

2011-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-05

DOT National Transportation Integrated Search

2008-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-12

DOT National Transportation Integrated Search

2012-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-09

DOT National Transportation Integrated Search

2012-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-03

DOT National Transportation Integrated Search

2012-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-10

DOT National Transportation Integrated Search

2011-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-06

DOT National Transportation Integrated Search

2011-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-06

DOT National Transportation Integrated Search

2011-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-03

DOT National Transportation Integrated Search

2012-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-08

DOT National Transportation Integrated Search

2013-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-11

DOT National Transportation Integrated Search

2012-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-01

DOT National Transportation Integrated Search

2012-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-04

DOT National Transportation Integrated Search

2013-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-09

DOT National Transportation Integrated Search

2011-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-02

DOT National Transportation Integrated Search

2012-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-08

DOT National Transportation Integrated Search

2011-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-06

DOT National Transportation Integrated Search

2008-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-02

DOT National Transportation Integrated Search

2008-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-09

DOT National Transportation Integrated Search

2011-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-10

DOT National Transportation Integrated Search

2012-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-11

DOT National Transportation Integrated Search

2011-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-10

DOT National Transportation Integrated Search

2011-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-06

DOT National Transportation Integrated Search

2013-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-03

DOT National Transportation Integrated Search

2013-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-11

DOT National Transportation Integrated Search

2011-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-01

DOT National Transportation Integrated Search

2012-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-07

DOT National Transportation Integrated Search

2013-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-04

DOT National Transportation Integrated Search

2012-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-08

DOT National Transportation Integrated Search

2008-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-04

DOT National Transportation Integrated Search

2012-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-05

DOT National Transportation Integrated Search

2012-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-07

DOT National Transportation Integrated Search

2010-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-12

DOT National Transportation Integrated Search

2008-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-05

DOT National Transportation Integrated Search

2008-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-08

DOT National Transportation Integrated Search

2008-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-03

DOT National Transportation Integrated Search

2009-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-04

DOT National Transportation Integrated Search

2008-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-09

DOT National Transportation Integrated Search

2009-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-01

DOT National Transportation Integrated Search

2009-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-07

DOT National Transportation Integrated Search

2008-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-02

DOT National Transportation Integrated Search

2009-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-09

DOT National Transportation Integrated Search

2008-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-12

DOT National Transportation Integrated Search

2010-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-11

DOT National Transportation Integrated Search

2010-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-01

DOT National Transportation Integrated Search

2010-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-02

DOT National Transportation Integrated Search

2013-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-04

DOT National Transportation Integrated Search

2010-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-01

DOT National Transportation Integrated Search

2013-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-02

DOT National Transportation Integrated Search

2010-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-12

DOT National Transportation Integrated Search

2009-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-11

DOT National Transportation Integrated Search

2009-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-03

DOT National Transportation Integrated Search

2013-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-04

DOT National Transportation Integrated Search

2013-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, U.S. and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (U.S. Point and Foreign Point).

DOT National Transportation Integrated Search

2009-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-04

DOT National Transportation Integrated Search

2009-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-09

DOT National Transportation Integrated Search

2009-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-02

DOT National Transportation Integrated Search

2010-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-05

DOT National Transportation Integrated Search

2010-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-12

DOT National Transportation Integrated Search

2009-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-01

DOT National Transportation Integrated Search

2011-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-10

DOT National Transportation Integrated Search

2010-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-02

DOT National Transportation Integrated Search

2009-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-11

DOT National Transportation Integrated Search

2009-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-03

DOT National Transportation Integrated Search

2010-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-05

DOT National Transportation Integrated Search

2009-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-08

DOT National Transportation Integrated Search

2009-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-04

DOT National Transportation Integrated Search

2010-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-06

DOT National Transportation Integrated Search

2009-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-07

DOT National Transportation Integrated Search

2009-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-01

DOT National Transportation Integrated Search

2010-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-10

DOT National Transportation Integrated Search

2009-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-08

DOT National Transportation Integrated Search

2012-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2014-01

DOT National Transportation Integrated Search

2014-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-10

DOT National Transportation Integrated Search

2013-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-11

DOT National Transportation Integrated Search

2013-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2014-02

DOT National Transportation Integrated Search

2014-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2014-03

DOT National Transportation Integrated Search

2014-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-07

DOT National Transportation Integrated Search

2012-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-09

DOT National Transportation Integrated Search

2013-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-12

DOT National Transportation Integrated Search

2013-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-05

DOT National Transportation Integrated Search

2012-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-06

DOT National Transportation Integrated Search

2012-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2006-12

DOT National Transportation Integrated Search

2006-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-03

DOT National Transportation Integrated Search

2008-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2006-12

DOT National Transportation Integrated Search

2006-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2005-12

DOT National Transportation Integrated Search

2005-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2005-12

DOT National Transportation Integrated Search

2005-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2007-12

DOT National Transportation Integrated Search

2007-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-01

DOT National Transportation Integrated Search

2008-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-05

DOT National Transportation Integrated Search

2009-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-06

DOT National Transportation Integrated Search

2010-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-08

DOT National Transportation Integrated Search

2012-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-03

DOT National Transportation Integrated Search

2010-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-07

DOT National Transportation Integrated Search

2010-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-06

DOT National Transportation Integrated Search

2009-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-05

DOT National Transportation Integrated Search

2010-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-12

DOT National Transportation Integrated Search

2012-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-07

DOT National Transportation Integrated Search

2013-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-06

DOT National Transportation Integrated Search

2013-06-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-11

DOT National Transportation Integrated Search

2012-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-11

DOT National Transportation Integrated Search

2008-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-10

DOT National Transportation Integrated Search

2008-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2009-03

DOT National Transportation Integrated Search

2009-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-11

DOT National Transportation Integrated Search

2013-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-04

DOT National Transportation Integrated Search

2011-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2014-01

DOT National Transportation Integrated Search

2014-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2014-02

DOT National Transportation Integrated Search

2014-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2014-03

DOT National Transportation Integrated Search

2014-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-01

DOT National Transportation Integrated Search

2011-01-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-09

DOT National Transportation Integrated Search

2010-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-08

DOT National Transportation Integrated Search

2010-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-09

DOT National Transportation Integrated Search

2013-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-10

DOT National Transportation Integrated Search

2013-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-03

DOT National Transportation Integrated Search

2011-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-12

DOT National Transportation Integrated Search

2013-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-11

DOT National Transportation Integrated Search

2010-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-10

DOT National Transportation Integrated Search

2010-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-02

DOT National Transportation Integrated Search

2011-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-05

DOT National Transportation Integrated Search

2011-05-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2010-12

DOT National Transportation Integrated Search

2010-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-04

DOT National Transportation Integrated Search

2011-04-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-02

DOT National Transportation Integrated Search

2011-02-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IM - T-100 and T-100(f) International Market Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2011-03

DOT National Transportation Integrated Search

2011-03-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-09

DOT National Transportation Integrated Search

2012-09-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2012-07

DOT National Transportation Integrated Search

2012-07-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2013-08

DOT National Transportation Integrated Search

2013-08-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-12

DOT National Transportation Integrated Search

2008-12-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-10

DOT National Transportation Integrated Search

2008-10-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data (World Area Code) - 6-Month Restricted (US Point and Foreign Point) : [2008-11

DOT National Transportation Integrated Search

2008-11-01

This CD presents data reported by U.S. carriers operating between airports located within the boundaries of the United States and its territories. These data are often referred to as either "market" or on-flight origin and destination records. The da...

Washington State freight truck origin and destination study : methods, procedures, and data dictionary

DOT National Transportation Integrated Search

1994-12-01

The Washington State Department of Transportation (WSDOT)initiated a state-wide freight truck origin and destination study in April of 1993. A region-wide freight truck origin and destination study was first proposed in Washington as an element of th...

Interactive visual exploration and analysis of origin-destination data

NASA Astrophysics Data System (ADS)

Ding, Linfang; Meng, Liqiu; Yang, Jian; Krisp, Jukka M.

2018-05-01

In this paper, we propose a visual analytics approach for the exploration of spatiotemporal interaction patterns of massive origin-destination data. Firstly, we visually query the movement database for data at certain time windows. Secondly, we conduct interactive clustering to allow the users to select input variables/features (e.g., origins, destinations, distance, and duration) and to adjust clustering parameters (e.g. distance threshold). The agglomerative hierarchical clustering method is applied for the multivariate clustering of the origin-destination data. Thirdly, we design a parallel coordinates plot for visualizing the precomputed clusters and for further exploration of interesting clusters. Finally, we propose a gradient line rendering technique to show the spatial and directional distribution of origin-destination clusters on a map view. We implement the visual analytics approach in a web-based interactive environment and apply it to real-world floating car data from Shanghai. The experiment results show the origin/destination hotspots and their spatial interaction patterns. They also demonstrate the effectiveness of our proposed approach.

Privacy Protection Versus Cluster Detection in Spatial Epidemiology

PubMed Central

Olson, Karen L.; Grannis, Shaun J.; Mandl, Kenneth D.

2006-01-01

Objectives. Patient data that includes precise locations can reveal patients’ identities, whereas data aggregated into administrative regions may preserve privacy and confidentiality. We investigated the effect of varying degrees of address precision (exact latitude and longitude vs the center points of zip code or census tracts) on detection of spatial clusters of cases. Methods. We simulated disease outbreaks by adding supplementary spatially clustered emergency department visits to authentic hospital emergency department syndromic surveillance data. We identified clusters with a spatial scan statistic and evaluated detection rate and accuracy. Results. More clusters were identified, and clusters were more accurately detected, when exact locations were used. That is, these clusters contained at least half of the simulated points and involved few additional emergency department visits. These results were especially apparent when the synthetic clustered points crossed administrative boundaries and fell into multiple zip code or census tracts. Conclusions. The spatial cluster detection algorithm performed better when addresses were analyzed as exact locations than when they were analyzed as center points of zip code or census tracts, particularly when the clustered points crossed administrative boundaries. Use of precise addresses offers improved performance, but this practice must be weighed against privacy concerns in the establishment of public health data exchange policies. PMID:17018828

Drinking Water Residence Time in Distribution Networks and Emergency Department Visits for Gastrointestinal Illness in Metro Atlanta, Georgia

PubMed Central

Moe, Christine L.; Klein, Mitchel; Flanders, W. Dana; Uber, Jim; Amirtharajah, Appiah; Singer, Philip; Tolbert, Paige E.

2013-01-01

We examined whether the average water residence time, the time it takes water to travel from the treatment plant to the user, for a zip code was related to the proportion of emergency department (ED) visits for gastrointestinal (GI) illness among residents of that zip code. Individual-level ED data were collected from all hospitals located in the five-county metro Atlanta area from 1993 to 2004. Two of the largest water utilities in the area, together serving 1.7 million people, were considered. People served by these utilities had almost three million total ED visits, 164,937 of them for GI illness. The relationship between water residence time and risk for GI illness was assessed using logistic regression, controlling for potential confounding factors, including patient age and markers of socioeconomic status (SES). We observed a modestly increased risk for GI illness for residents of zip codes with the longest water residence times compared to intermediate residence times (odds ratio (OR) for Utility 1 = 1.07, 95% confidence interval (CI) = 1.03, 1.10; OR for Utility 2 = 1.05, 95% CI = 1.02, 1.08). The results suggest that drinking water contamination in the distribution system may contribute to the burden of endemic GI illness. PMID:19240359

Drinking water residence time in distribution networks and emergency department visits for gastrointestinal illness in Metro Atlanta, Georgia.

PubMed

Tinker, Sarah C; Moe, Christine L; Klein, Mitchel; Flanders, W Dana; Uber, Jim; Amirtharajah, Appiah; Singer, Philip; Tolbert, Paige E

2009-06-01

We examined whether the average water residence time, the time it takes water to travel from the treatment plant to the user, for a zip code was related to the proportion of emergency department (ED) visits for gastrointestinal (GI) illness among residents of that zip code. Individual-level ED data were collected from all hospitals located in the five-county metro Atlanta area from 1993 to 2004. Two of the largest water utilities in the area, together serving 1.7 million people, were considered. People served by these utilities had almost 3 million total ED visits, 164,937 of them for GI illness. The relationship between water residence time and risk for GI illness was assessed using logistic regression, controlling for potential confounding factors, including patient age and markers of socioeconomic status (SES). We observed a modestly increased risk for GI illness for residents of zip codes with the longest water residence times compared with intermediate residence times (odds ratio (OR) for Utility 1 = 1.07, 95% confidence interval (CI) = 1.03, 1.10; OR for Utility 2 = 1.05, 95% CI = 1.02, 1.08). The results suggest that drinking water contamination in the distribution system may contribute to the burden of endemic GI illness.

An exploratory study of the relationship between socioeconomic status and motor vehicle safety features.

PubMed

Girasek, Deborah C; Taylor, Brett

2010-04-01

The purpose of this study was to assess the association between motor vehicle owners' socioeconomic status (SES) and the safety of their motor vehicles. Truncated vehicle identification numbers (VINs) were obtained from the Maryland Motor Vehicle Administration office. ZIP code-level income and educational data were assigned to each VIN. Software was used to identify safety-related vehicle characteristics including crash test rating, availability of electronic stability control and side impact air bags, age, and weight. Correlations and analyses of variance were performed to assess whether a ZIP code's median household income and educational level were associated with its proportion of registered vehicles with safety features. For 13 of the 16 correlations performed, SES was significantly associated with the availability of vehicle safety features in a direction that favored upper-income individuals. Vehicle weight was not associated with income or education. When ZIP codes were divided into median household income quintiles, their mean proportions of safety features also differed significantly, in the same direction, for availability of electronic stability control, side impact air bags, vehicle age, and crash test ratings. Safer motor vehicles appear to be distributed along socioeconomic lines, with lower income groups experiencing more risk. This previously unidentified mechanism of disparity merits further study and the attention of policy makers.

Multilevel built environment features and individual odds of overweight and obesity in Utah

PubMed Central

Xu, Yanqing; Wen, Ming; Wang, Fahui

2015-01-01

Based on the data from the Behavioral Risk Factor Surveillance System (BRFSS) in 2007, 2009 and 2011 in Utah, this research uses multilevel modeling (MLM) to examine the associations between neighborhood built environments and individual odds of overweight and obesity after controlling for individual risk factors. The BRFSS data include information on 21,961 individuals geocoded to zip code areas. Individual variables include BMI (body mass index) and socio-demographic attributes such as age, gender, race, marital status, education attainment, employment status, and whether an individual smokes. Neighborhood built environment factors measured at both zip code and county levels include street connectivity, walk score, distance to parks, and food environment. Two additional neighborhood variables, namely the poverty rate and urbanicity, are also included as control variables. MLM results show that at the zip code level, poverty rate and distance to parks are significant and negative covariates of the odds of overweight and obesity; and at the county level, food environment is the sole significant factor with stronger fast food presence linked to higher odds of overweight and obesity. These findings suggest that obesity risk factors lie in multiple neighborhood levels and built environment features need to be defined at a neighborhood size relevant to residents' activity space. PMID:26251559

Geospatial Analysis of Food Environment Demonstrates Associations with Gestational Diabetes

PubMed Central

KAHR, Maike K.; SUTER, Melissa A.; BALLAS, Jerasimos; RAMIN, Susan M.; MONGA, Manju; LEE, Wesley; HU, Min; SHOPE, Cindy D.; CHESNOKOVA, Arina; KRANNICH, Laura; GRIFFIN, Emily N.; MASTROBATTISTA, Joan; DILDY, Gary A.; STREHLOW, Stacy L.; RAMPHUL, Ryan; HAMILTON, Winifred J; AAGAARD, Kjersti M.

2015-01-01

Background Gestational diabetes mellitus (GDM) is one of most common complications of pregnancy, with incidence rates varying by maternal age, race/ethnicity, obesity, parity, and family history. Given its increasing prevalence in recent decades, co-variant environmental and sociodemographic factors may be additional determinants of GDM occurrence. Objectives We hypothesized that environmental risk factors, in particular measures of the food environment, may be a diabetes contributor. We employed geospatial modeling in a populous U.S. county to characterize the association of the relative availability of fast food restaurants and supermarkets to GDM. Study Design Utilizing a perinatal database with over 4900 encoded antenatal and outcome variables inclusive of zip code data, 8912 consecutive pregnancies were analyzed for correlations between GDM and food environment based on county-wide food permit registration data. Linkage between pregnancies and food environment was achieved on the basis of validated 5 digit zip code data. The prevalence of supermarkets and fast food restaurants per 100,000 inhabitants for each zip code were gathered from publicly available food permit sources. In order to independently authenticate our findings with objective data, we measured hemoglobin A1c (HbA1c) levels as a function of geospatial distribution of food environment in a matched subset (n=80). Results Residence in neighborhoods with a high prevalence of fast food restaurants (fourth quartile) was significantly associated with an increased risk of developing GDM (relative to first quartile, aOR: 1.63 [95% CI 1.21–2.19]). In multivariate analysis, this association held true after controlling for potential confounders (p=0.002). Measurement of HbA1c levels in a matched subset were significantly increased in association with residence in a zip code with a higher fast food/supermarket ratio (n=80, r=0.251 p<0.05). Conclusions As demonstrated by geospatial analysis, a relationship of food environment and risk for gestational diabetes was identified. PMID:26319053

Are neighbourhood social capital and availability of sports facilities related to sports participation among Dutch adolescents?

PubMed Central

2012-01-01

Background The aim of this study is to explore whether availability of sports facilities, parks, and neighbourhood social capital (NSC) and their interaction are associated with leisure time sports participation among Dutch adolescents. Methods Cross-sectional analyses were conducted on complete data from the last wave of the YouRAction evaluation trial. Adolescents (n = 852) completed a questionnaire asking for sports participation, perceived NSC and demographics. Ecometric methods were used to aggregate perceived NSC to zip code level. Availability of sports facilities and parks was assessed by means of geographic information systems within the zip-code area and within a 1600 meter buffer. Multilevel logistic regression analyses, with neighborhood and individual as levels, were conducted to examine associations between physical and social environmental factors and leisure time sports participation. Simple slopes analysis was conducted to decompose interaction effects. Results NSC was significantly associated with sports participation (OR: 3.51 (95%CI: 1.18;10.41)) after adjustment for potential confounders. Availability of sports facilities and availability of parks were not associated with sports participation. A significant interaction between NSC and density of parks within the neighbourhood area (OR: 1.22 (90%CI: 1.01;1.34)) was found. Decomposition of the interaction term showed that adolescents were most likely to engage in leisure time sports when both availability of parks and NSC were highest. Conclusions The results of this study indicate that leisure time sports participation is associated with levels of NSC, but not with availability of parks or sports facilities. In addition, NSC and availability of parks in the zip code area interacted in such a way that leisure time sports participation is most likely among adolescents living in zip code areas with higher levels of NSC, and higher availability of parks. Hence, availability of parks appears only to be important for leisure time sports participation when NSC is high. PMID:22849512

Geospatial analysis of food environment demonstrates associations with gestational diabetes.

PubMed

Kahr, Maike K; Suter, Melissa A; Ballas, Jerasimos; Ramin, Susan M; Monga, Manju; Lee, Wesley; Hu, Min; Shope, Cindy D; Chesnokova, Arina; Krannich, Laura; Griffin, Emily N; Mastrobattista, Joan; Dildy, Gary A; Strehlow, Stacy L; Ramphul, Ryan; Hamilton, Winifred J; Aagaard, Kjersti M

2016-01-01

Gestational diabetes mellitus (GDM) is one of most common complications of pregnancy, with incidence rates varying by maternal age, race/ethnicity, obesity, parity, and family history. Given its increasing prevalence in recent decades, covariant environmental and sociodemographic factors may be additional determinants of GDM occurrence. We hypothesized that environmental risk factors, in particular measures of the food environment, may be a diabetes contributor. We employed geospatial modeling in a populous US county to characterize the association of the relative availability of fast food restaurants and supermarkets to GDM. Utilizing a perinatal database with >4900 encoded antenatal and outcome variables inclusive of ZIP code data, 8912 consecutive pregnancies were analyzed for correlations between GDM and food environment based on countywide food permit registration data. Linkage between pregnancies and food environment was achieved on the basis of validated 5-digit ZIP code data. The prevalence of supermarkets and fast food restaurants per 100,000 inhabitants for each ZIP code were gathered from publicly available food permit sources. To independently authenticate our findings with objective data, we measured hemoglobin A1c levels as a function of geospatial distribution of food environment in a matched subset (n = 80). Residence in neighborhoods with a high prevalence of fast food restaurants (fourth quartile) was significantly associated with an increased risk of developing GDM (relative to first quartile: adjusted odds ratio, 1.63; 95% confidence interval, 1.21-2.19). In multivariate analysis, this association held true after controlling for potential confounders (P = .002). Measurement of hemoglobin A1c levels in a matched subset were significantly increased in association with residence in a ZIP code with a higher fast food/supermarket ratio (n = 80, r = 0.251 P < .05). As demonstrated by geospatial analysis, a relationship of food environment and risk for gestational diabetes was identified. Copyright © 2016 Elsevier Inc. All rights reserved.

Signal Processing with Degenerate Four-Wave Mixing.

DTIC Science & Technology

1987-12-07

MONITORING ORGANIZATION Optical Sciences Center j (i applicable) 6c. ADDRESS (City, State, and ZIPCode) 7b. ADDRESS (City, State, and ZIP Cod...apOliable) AFOSR I j AFOSR-84-0277 I, ADDRESS (City, State and ZIP Code) 10. SOURCE OF FUNDING NUMBERS Bulig40PROGRAM IPROJECT TASK I WORK UNIT Buling...5 Accesson Fo I - __ 0 4.Z- NTIS GRA. D__t _______r_!_ ________I,,* k AccessiondFor Dist.~~ .ipe i 45 rix’ _ _____ _____ __ j

Do Juvenile Curfew Laws Reduce Underage Drinking?

PubMed

Grossman, Elyse R; Jernigan, David H; Miller, Nancy A

2016-07-01

Although not originally enacted to deter the problem of underage drinking in the United States, one set of laws that may influence this behavior is juvenile curfew laws. This research asked the following: (a) What is the effect of enacting a juvenile curfew law on youth drinking, and (b) do demographic variables moderate the relation between juvenile curfew law enactment and drinking? This study examined the effect of juvenile curfew laws on underage drinking, using data from 46 U.S. cities from 1991 to 2005. In 2014, we compiled a data set containing alcohol and curfew law data by zip code. It included 63,081 minors (ages 12-17 years) from 1,081 zip codes. We used difference-in-difference regressions to analyze the data. The effect of the enactment of a curfew law on the likelihood of consuming alcohol in the past year or past 30 days or of heavy episodic drinking in the past 2 weeks was not significant when compared with cities without curfew laws during the same periods. Although the likelihood of consuming alcohol over the past year differed depending on an individual's characteristics (e.g., race/ethnicity, age, and gender), none of the interaction terms between these characteristics and curfew laws were significant. Curfew laws appear to have a nonsignificant effect on youth drinking, but these results are unclear without more knowledge as to where and when youth are drinking both before and after the enactment of curfew laws and how these laws are being enforced.

Examining Lead Exposures in California through State-Issued Health Alerts for Food Contamination and an Exposure-Based Candy Testing Program.

PubMed

Handley, Margaret A; Nelson, Kali; Sanford, Eric; Clarity, Cassidy; Emmons-Bell, Sophia; Gorukanti, Anuhandra; Kennelly, Patrick

2017-10-26

In California, the annual number of children under age 6 y of age with blood lead levels (BLL) ≥10μg/dL is estimated at over 1,000 cases, and up to 10,000 cases when BLL between 4.5 and 9.5 μg/dL are included. State-issued health alerts for food contamination provide one strategy for tracking sources of food-related lead exposures. As well, California passed legislation in 2006 for the Food and Drug Branch (FDB) of the state health department to test and identify lead in candy. This report presents health alert data from California over a 14-y period, compares data before and after the candy testing program began, and examines country of origin, ZIP code data, and time from candy testing to release of health alerts for lead-contaminated candies for 2011-2012. After 2007, health alerts issued for lead in candy and food increased significantly. Analysis of candy-testing data indicated that multiple counties and ZIP codes were affected. Seventeen candies with high lead concentrations were identified, resulting in rapid dissemination (<2wk) of health alerts to local health departments and community clinicians and to the public. Surveillance of lead exposures from state-based food and candy testing programs provides an opportunity to identify and immediately act to remove nonpaint sources of lead affecting children. https://doi.org/10.1289/EHP2582.

An efficient and extensible approach for compressing phylogenetic trees

PubMed Central

2011-01-01

Background Biologists require new algorithms to efficiently compress and store their large collections of phylogenetic trees. Our previous work showed that TreeZip is a promising approach for compressing phylogenetic trees. In this paper, we extend our TreeZip algorithm by handling trees with weighted branches. Furthermore, by using the compressed TreeZip file as input, we have designed an extensible decompressor that can extract subcollections of trees, compute majority and strict consensus trees, and merge tree collections using set operations such as union, intersection, and set difference. Results On unweighted phylogenetic trees, TreeZip is able to compress Newick files in excess of 98%. On weighted phylogenetic trees, TreeZip is able to compress a Newick file by at least 73%. TreeZip can be combined with 7zip with little overhead, allowing space savings in excess of 99% (unweighted) and 92%(weighted). Unlike TreeZip, 7zip is not immune to branch rotations, and performs worse as the level of variability in the Newick string representation increases. Finally, since the TreeZip compressed text (TRZ) file contains all the semantic information in a collection of trees, we can easily filter and decompress a subset of trees of interest (such as the set of unique trees), or build the resulting consensus tree in a matter of seconds. We also show the ease of which set operations can be performed on TRZ files, at speeds quicker than those performed on Newick or 7zip compressed Newick files, and without loss of space savings. Conclusions TreeZip is an efficient approach for compressing large collections of phylogenetic trees. The semantic and compact nature of the TRZ file allow it to be operated upon directly and quickly, without a need to decompress the original Newick file. We believe that TreeZip will be vital for compressing and archiving trees in the biological community. PMID:22165819

An efficient and extensible approach for compressing phylogenetic trees.

PubMed

Matthews, Suzanne J; Williams, Tiffani L

2011-10-18

Biologists require new algorithms to efficiently compress and store their large collections of phylogenetic trees. Our previous work showed that TreeZip is a promising approach for compressing phylogenetic trees. In this paper, we extend our TreeZip algorithm by handling trees with weighted branches. Furthermore, by using the compressed TreeZip file as input, we have designed an extensible decompressor that can extract subcollections of trees, compute majority and strict consensus trees, and merge tree collections using set operations such as union, intersection, and set difference. On unweighted phylogenetic trees, TreeZip is able to compress Newick files in excess of 98%. On weighted phylogenetic trees, TreeZip is able to compress a Newick file by at least 73%. TreeZip can be combined with 7zip with little overhead, allowing space savings in excess of 99% (unweighted) and 92%(weighted). Unlike TreeZip, 7zip is not immune to branch rotations, and performs worse as the level of variability in the Newick string representation increases. Finally, since the TreeZip compressed text (TRZ) file contains all the semantic information in a collection of trees, we can easily filter and decompress a subset of trees of interest (such as the set of unique trees), or build the resulting consensus tree in a matter of seconds. We also show the ease of which set operations can be performed on TRZ files, at speeds quicker than those performed on Newick or 7zip compressed Newick files, and without loss of space savings. TreeZip is an efficient approach for compressing large collections of phylogenetic trees. The semantic and compact nature of the TRZ file allow it to be operated upon directly and quickly, without a need to decompress the original Newick file. We believe that TreeZip will be vital for compressing and archiving trees in the biological community.

19 CFR 142.42 - Application for Line Release processing.

Code of Federal Regulations, 2014 CFR

2014-04-01

... Company Information: name, address, city, state, contact person, phone number of contact person, and... identification number of the shipper or manufacturer. (f) Importer information (if importer is different than filer): Name, address, city, state and country, zip code, importer number, bond number, and surety code...

19 CFR 142.42 - Application for Line Release processing.

Code of Federal Regulations, 2013 CFR

2013-04-01

... Company Information: name, address, city, state, contact person, phone number of contact person, and... identification number of the shipper or manufacturer. (f) Importer information (if importer is different than filer): Name, address, city, state and country, zip code, importer number, bond number, and surety code...

19 CFR 142.42 - Application for Line Release processing.

Code of Federal Regulations, 2012 CFR

2012-04-01

... Company Information: name, address, city, state, contact person, phone number of contact person, and... identification number of the shipper or manufacturer. (f) Importer information (if importer is different than filer): Name, address, city, state and country, zip code, importer number, bond number, and surety code...

19 CFR 142.42 - Application for Line Release processing.

Code of Federal Regulations, 2011 CFR

2011-04-01

... Company Information: name, address, city, state, contact person, phone number of contact person, and... identification number of the shipper or manufacturer. (f) Importer information (if importer is different than filer): Name, address, city, state and country, zip code, importer number, bond number, and surety code...

77 FR 59629 - Statutorily Mandated Designation of Difficult Development Areas for 2013

Federal Register 2010, 2011, 2012, 2013, 2014

2012-09-28

... Economist, Economic Development and Public Finance Division, Office of Policy Development and Research... evaluative list of metropolitan zip codes that would be designated Small Area DDAs using this methodology and... Research. [FR Doc. 2012-23900 Filed 9-27-12; 8:45 am] BILLING CODE 4210-67-P ...

Fundamental Studies in the Molecular Basis of Laser Induced Retinal Damage

DTIC Science & Technology

1988-01-01

Cornell University School of Applied & Engineering Physics Ithaca, NY 14853 DOD DISTRIBUTION STATEMENT Approved for public release; distribution unlimited...Code) 7b. ADDRESS (City, State, and ZIP Code) School of Applied & Engineering Physics Ithaca, NY 14853 8a. NAME OF FUNDING/SPONSORING Bb. OFFICE SYMBOL

Fiber Optic Microsensor for Receptor-Based Assays

DTIC Science & Technology

1988-09-01

MONITORING ORGANIZATION ORDInc.(if applicable ) 6c. ADDRESS (CWty Sta~te, and ZIP code) 7b. ADDRESS (City, State, an~d ZIP=Cd) Nahant, MA 019081 Sa, NAME OF...yield B-PE B-phycoerythrin 545 575 2,410,000 0.98 R-PE R-phycoerythrin 565 578 11960,000 0.68 CPC C- phycocyanine 620 650 1,690,000 0.51 A-PC...efficient transfer occurred for unit magnification. Figure 3 shows the optical design. Evaluation of the instrument was done with both A- phycocyanine

The Timing of Pertussis Cases in Unvaccinated Children in an Outbreak Year: Oregon 2012.

PubMed

Robison, Steve G; Liko, Juventila

2017-04-01

To assess whether, during a 2012 pertussis outbreak, unvaccinated and poorly vaccinated cases occurred earlier on a community level. Pediatric pertussis among children 2 months to 10 years of age in the Oregon Sentinel Surveillance region during an epidemic starting at the beginning of 2012 were stratified by immunization status, age, zip code, and calendar date of disease onset. Differences in median onset as days between fully or mostly vaccinated, poorly vaccinated, and unvaccinated cases were examined overall and within local zip code areas. Disease clusters also were examined using SatScan analysis. Overall, 351 pertussis cases occurred among children aged 2 months to 10 years of age residing in 72 distinct zipcodes. Among unvaccinated or poorly vaccinated cases, their median date of onset was at calendar day 117 (April 26, 2012), whereas for those who were fully or mostly vaccinated the median date of onset was 41 days later, at day 158 (June 6, 2012). Within each local zip code area, the unvaccinated cases were 3.2 times more likely than vaccinated cases to have earlier median dates of onset (95% CI 2.9-3.6). In this outbreak, pertussis cases among unvaccinated children represented an earlier spread of disease across local areas. Controlling outbreaks may require attention to the composition and location of the unvaccinated. Copyright © 2016 Elsevier Inc. All rights reserved.

Disparities of food availability and affordability within convenience stores in Bexar County, Texas.

PubMed

Smith, Matthew Lee; Sunil, T S; Salazar, Camerino I; Rafique, Sadaf; Ory, Marcia G

2013-01-01

The American Diabetes Association (ADA) recommends healthful food choices; however, some geographic areas are limited in the types of foods they offer. Little is known about the role of convenience stores as viable channels to provide healthier foods in our "grab and go" society. The purposes of this study were to (1) identify foods offered within convenience stores located in two Bexar County, Texas, ZIP Codes and (2) compare the availability and cost of ADA-recommended foods including beverages, produce, grains, and oils/fats. Data were analyzed from 28 convenience store audits performed in two sociodemographically diverse ZIP Codes in Bexar County, Texas. Chi-squared tests were used to compare food availability, and t-tests were used to compare food cost in convenience stores between ZIP Codes. A significantly larger proportion of convenience stores in more affluent areas offered bananas (χ (2) = 4.17, P = 0.003), whole grain bread (χ (2) = 8.33, P = 0.004), and baked potato chips (χ (2) = 13.68, P < 0.001). On average, the price of diet cola (t = -2.12, P = 0.044) and certain produce items (e.g., bananas, oranges, tomatoes, broccoli, and cucumber) was significantly higher within convenience stores in more affluent areas. Convenience stores can play an important role to positively shape a community's food environment by stocking healthier foods at affordable prices.

Disparities of Food Availability and Affordability within Convenience Stores in Bexar County, Texas

PubMed Central

Smith, Matthew Lee; Sunil, T. S.; Salazar, Camerino I.; Rafique, Sadaf; Ory, Marcia G.

2013-01-01

The American Diabetes Association (ADA) recommends healthful food choices; however, some geographic areas are limited in the types of foods they offer. Little is known about the role of convenience stores as viable channels to provide healthier foods in our “grab and go” society. The purposes of this study were to (1) identify foods offered within convenience stores located in two Bexar County, Texas, ZIP Codes and (2) compare the availability and cost of ADA-recommended foods including beverages, produce, grains, and oils/fats. Data were analyzed from 28 convenience store audits performed in two sociodemographically diverse ZIP Codes in Bexar County, Texas. Chi-squared tests were used to compare food availability, and t-tests were used to compare food cost in convenience stores between ZIP Codes. A significantly larger proportion of convenience stores in more affluent areas offered bananas (χ 2 = 4.17, P = 0.003), whole grain bread (χ 2 = 8.33, P = 0.004), and baked potato chips (χ 2 = 13.68, P < 0.001). On average, the price of diet cola (t = −2.12, P = 0.044) and certain produce items (e.g., bananas, oranges, tomatoes, broccoli, and cucumber) was significantly higher within convenience stores in more affluent areas. Convenience stores can play an important role to positively shape a community's food environment by stocking healthier foods at affordable prices. PMID:23935645

Trends in Breast Cancer Stage and Mortality in Michigan (1992–2009) by Race, Socioeconomic Status, and Area Healthcare Resources

PubMed Central

Akinyemiju, Tomi F.; Soliman, Amr S.; Copeland, Glenn; Banerjee, Mousumi; Schwartz, Kendra; Merajver, Sofia D.

2013-01-01

The long-term effect of socioeconomic status (SES) and healthcare resources availability (HCA) on breast cancer stage of presentation and mortality rates among patients in Michigan is unclear. Using data from the Michigan Department of Community Health (MDCH) between 1992 and 2009, we calculated annual proportions of late-stage diagnosis and age-adjusted breast cancer mortality rates by race and zip code in Michigan. SES and HCA were defined at the zip-code level. Joinpoint regression was used to compare the Average Annual Percent Change (AAPC) in the median zip-code level percent late stage diagnosis and mortality rate for blacks and whites and for each level of SES and HCA. Between 1992 and 2009, the proportion of late stage diagnosis increased among white women [AAPC = 1.0 (0.4, 1.6)], but was statistically unchanged among black women [AAPC = −0.5 (−1.9, 0.8)]. The breast cancer mortality rate declined among whites [AAPC = −1.3% (−1.8,−0.8)], but remained statistically unchanged among blacks [AAPC = −0.3% (−0.3, 1.0)]. In all SES and HCA area types, disparities in percent late stage between blacks and whites appeared to narrow over time, while the differences in breast cancer mortality rates between blacks and whites appeared to increase over time. PMID:23637921

41 CFR 302-7.6 - What are the authorized origin and destination points for the transportation of HHG and PBP&E?

Code of Federal Regulations, 2010 CFR

2010-07-01

... origin and destination points for the transportation of HHG and PBP&E? 302-7.6 Section 302-7.6 Public Contracts and Property Management Federal Travel Regulation System RELOCATION ALLOWANCES TRANSPORTATION AND... points for the transportation of HHG and PBP&E? The authorized origin and destination points for the...

Why Your ZIP Code Matters More Than Your Genetic Code: Promoting Healthy Outcomes from Mother to Child.

PubMed

Graham, Garth N

2016-10-01

Health equity has long been the dominant theme in the work of the Aetna Foundation. Recent data have focused on disparities through another lens, particularly the correlation between where people live (i.e., ZIP code) and their quality-and length-of life. In various cities across America, average life expectancies in certain communities are 20-30 years shorter than those mere miles away. In general, health disparities are founded on a complex interplay of racial, economic, educational, and other social factors. For example, breastfeeding rates in the United States differ significantly depending upon the race and income of the mother. Government policy makers are acutely aware of these disparities, but recent health system reforms have focused predominately on the processes used to administer, finance, and deliver care. What is needed is an approach that considers the health and wellness of all people in a geographic area, beyond established patients, and that measures more than clinical factors-such as genetics, environmental health, social circumstances, and individual behaviors. Solutions also must extend beyond the traditional healthcare arena. In particular, novel technological innovations show promise to bridge gaps between our healthcare capabilities and the needs of underserved populations. Digital tools are poised to revolutionize measurement, diagnostics, treatment, and global aspect of our healthcare system. The Aetna Foundation views technology as a core strategy in reducing health inequities through an approach that addresses both clinical and social factors in populations to dismantle the persistent paradigm of ZIP code as personal health destiny.

Hallux Rigidus

MedlinePlus

... in the big toe during use (walking, standing, bending, etc.) Pain and stiffness aggravated by cold, damp ... ps.position.alert.message}} Getting your location, one moment... Please enter a 5-digit zip code. Please ...

Find a Gastroenterologist

MedlinePlus

... Province Select Country Zip/Postal Code Sort By GI Health Centers Colorectal Cancer Hepatitis C Inflammatory Bowel ... GI Symptoms Gastroparesis See All Topics (A-Z) GI Procedures Colonoscopy Colorectal Cancer Screening See All Procedures ( ...

Find a Dermatologist

MedlinePlus

... Enter Location (Zip Code or City/State) Specialty Academic Birthmarks Contact Dermatitis Cosmetic Dermatology Cutaneous T-Cell ... who are members of the AAD. Neither the database, nor any part of the data, listings, profiles, ...

Site Map | USDA Plant Hardiness Zone Map

Science.gov Websites

Acknowledgments & Citation Copyright Map & Data Downloads Map Downloads Geography (GIS) Downloads Multi ; Citation Copyright Map & Data Downloads Map Downloads Geography (GIS) Downloads Multi-ZIP Code Finder

48 CFR 509.406-3 - Procedures.

Code of Federal Regulations, 2010 CFR

2010-10-01

..., Reporting Waste, Fraud, Abuse, and Corruption. If, after investigation, the OIG believes a cause for... last known home and business addresses, zip codes, and DUNS Numbers. (3) A statement of facts. (4...

GIS Data Downloads | USDA Plant Hardiness Zone Map

Science.gov Websites

Acknowledgments & Citation Copyright Map & Data Downloads Map Downloads Geography (GIS) Downloads Multi & Data Downloads / GIS Data Downloads Topics Map Downloads Geography (GIS) Downloads Multi-Zip Code

Developing small-area predictions for smoking and obesity prevalence in the United States for use in Environmental Public Health Tracking.

PubMed

Ortega Hinojosa, Alberto M; Davies, Molly M; Jarjour, Sarah; Burnett, Richard T; Mann, Jennifer K; Hughes, Edward; Balmes, John R; Turner, Michelle C; Jerrett, Michael

2014-10-01

Globally and in the United States, smoking and obesity are leading causes of death and disability. Reliable estimates of prevalence for these risk factors are often missing variables in public health surveillance programs. This may limit the capacity of public health surveillance to target interventions or to assess associations between other environmental risk factors (e.g., air pollution) and health because smoking and obesity are often important confounders. To generate prevalence estimates of smoking and obesity rates over small areas for the United States (i.e., at the ZIP code and census tract levels). We predicted smoking and obesity prevalence using a combined approach first using a lasso-based variable selection procedure followed by a two-level random effects regression with a Poisson link clustered on state and county. We used data from the Behavioral Risk Factor Surveillance System (BRFSS) from 1991 to 2010 to estimate the model. We used 10-fold cross-validated mean squared errors and the variance of the residuals to test our model. To downscale the estimates we combined the prediction equations with 1990 and 2000 U.S. Census data for each of the four five-year time periods in this time range at the ZIP code and census tract levels. Several sensitivity analyses were conducted using models that included only basic terms, that accounted for spatial autocorrelation, and used Generalized Linear Models that did not include random effects. The two-level random effects model produced improved estimates compared to the fixed effects-only models. Estimates were particularly improved for the two-thirds of the conterminous U.S. where BRFSS data were available to estimate the county level random effects. We downscaled the smoking and obesity rate predictions to derive ZIP code and census tract estimates. To our knowledge these smoking and obesity predictions are the first to be developed for the entire conterminous U.S. for census tracts and ZIP codes. Our estimates could have significant utility for public health surveillance. Copyright © 2014. Published by Elsevier Inc.

Optimizing Distribution of Pandemic Influenza Antiviral Drugs

PubMed Central

Huang, Hsin-Chan; Morton, David P.; Johnson, Gregory P.; Gutfraind, Alexander; Galvani, Alison P.; Clements, Bruce; Meyers, Lauren A.

2015-01-01

We provide a data-driven method for optimizing pharmacy-based distribution of antiviral drugs during an influenza pandemic in terms of overall access for a target population and apply it to the state of Texas, USA. We found that during the 2009 influenza pandemic, the Texas Department of State Health Services achieved an estimated statewide access of 88% (proportion of population willing to travel to the nearest dispensing point). However, access reached only 34.5% of US postal code (ZIP code) areas containing <1,000 underinsured persons. Optimized distribution networks increased expected access to 91% overall and 60% in hard-to-reach regions, and 2 or 3 major pharmacy chains achieved near maximal coverage in well-populated areas. Independent pharmacies were essential for reaching ZIP code areas containing <1,000 underinsured persons. This model was developed during a collaboration between academic researchers and public health officials and is available as a decision support tool for Texas Department of State Health Services at a Web-based interface. PMID:25625858

When to Pull the Trigger for the Counterattack: Simplicity versus Sophistication.

DTIC Science & Technology

1985-12-02

ADA1I67 705 WHNEN TO PULL THE TRIGGER FOR THE CO$JNTERRTTRCK: vi1 SIMPLICITY VERSUS SOPHISTICATION(U) ARMY COMMAND AND, GENERAL STAFF COLL FORT...Adv’affied Military Studie SU.S. Army Command and General Staff College Fort Leavenworth, Kansas 2 December 1985 Approved ror Public Release: Distribution...OF MONITORING ORGANIZAl ION O~US ARMY CMD1AN’D AN𔃻D GENERAL If JT -10ab 6C. ADD)RESS (City. State, and ZIP Code) 7b. ADDRESS (City, State, and ZIP

Differential Equations, Related Problems of Pade Approximations and Computer Applications

DTIC Science & Technology

1988-01-01

x e X : d(x,A) Unfortunately. for moderate primes (p < 10,000) 1). Expanders have the property that every A c none of these Ramanujan graphs have a...and for every A c X, Card(A) :< n/2, the graphs of relataively small diameter can be boundary aA has at least c • Card(A) elements. Ramanujan graphs...State, and ZIP,ode) 7b. ADDRESS (City, State, and ZIP Code) - _ - - " Building 410 - C x ,, -Boiling, AFB DC 20332-6448 11a. NAME OF FUNDING

Do Juvenile Curfew Laws Reduce Underage Drinking?

PubMed Central

Grossman, Elyse R.; Jernigan, David H.; Miller, Nancy A.

2016-01-01

Objective: Although not originally enacted to deter the problem of underage drinking in the United States, one set of laws that may influence this behavior is juvenile curfew laws. This research asked the following: (a) What is the effect of enacting a juvenile curfew law on youth drinking, and (b) do demographic variables moderate the relation between juvenile curfew law enactment and drinking? This study examined the effect of juvenile curfew laws on underage drinking, using data from 46 U.S. cities from 1991 to 2005. Method: In 2014, we compiled a data set containing alcohol and curfew law data by zip code. It included 63,081 minors (ages 12–17 years) from 1,081 zip codes. We used difference-in-difference regressions to analyze the data. Results: The effect of the enactment of a curfew law on the likelihood of consuming alcohol in the past year or past 30 days or of heavy episodic drinking in the past 2 weeks was not significant when compared with cities without curfew laws during the same periods. Although the likelihood of consuming alcohol over the past year differed depending on an individual’s characteristics (e.g., race/ethnicity, age, and gender), none of the interaction terms between these characteristics and curfew laws were significant. Conclusions: Curfew laws appear to have a non-significant effect on youth drinking, but these results are unclear without more knowledge as to where and when youth are drinking both before and after the enactment of curfew laws and how these laws are being enforced. PMID:27340963

Can Gender Differences in Educational Performance of 15-Year-Old Migrant Pupils Be Explained by Societal Gender Equality in Origin and Destination Countries?

ERIC Educational Resources Information Center

Dronkers, Jaap; Kornder, Nils

2015-01-01

In this paper, we attempt to explain the differences between reading and math scores of migrants' children (8430 daughters and 8526 sons) in 17 OECD destination countries, coming from 45 origin countries or regions, using PISA 2009 data. In addition to the societal gender equality levels of the origin and destination countries (the gender…

Aging Veterans and Posttraumatic Stress Symptoms

MedlinePlus

... Enter ZIP code here Aging Veterans and Posttraumatic Stress Symptoms Public This section is for Veterans, General Public, Family, & Friends Aging Veterans and Posttraumatic Stress Symptoms For many Veterans, memories of their wartime ...

Community Evolution in International Migration Top1 Networks.

PubMed

Peres, Mihaela; Xu, Helian; Wu, Gang

2016-01-01

Focusing on each country's topmost destination/origin migration relation with other countries, this study builds top1 destination networks and top1 origin networks in order to understand their skeletal construction and community dynamics. Each top1 network covers approximately 50% of the complete migrant network stock for each decade between 1960 and 2000. We investigate the community structure by implementing the Girvan-Newman algorithm and compare the number of components and communities to illustrate their differences. We find that (i) both top1 networks (origin and destination) exhibited communities with a clear structure and a surprising evolution, although 80% edges persist between each decade; (ii) top1 destination networks focused on developed countries exhibiting shorter paths and preferring more advance countries, while top1 origin networks focused both on developed as well as more substantial developing nations that presented a longer path and more stable groups; (iii) only few countries have a decisive influence on community evolution of both top1 networks. USA took the leading position as a destination country in top1 destination networks, while China and India were the main Asian emigration countries in top1 origin networks; European countries and the Russian Federation played an important role in both.

Community Evolution in International Migration Top1 Networks

PubMed Central

Xu, Helian

2016-01-01

Focusing on each country’s topmost destination/origin migration relation with other countries, this study builds top1 destination networks and top1 origin networks in order to understand their skeletal construction and community dynamics. Each top1 network covers approximately 50% of the complete migrant network stock for each decade between 1960 and 2000. We investigate the community structure by implementing the Girvan-Newman algorithm and compare the number of components and communities to illustrate their differences. We find that (i) both top1 networks (origin and destination) exhibited communities with a clear structure and a surprising evolution, although 80% edges persist between each decade; (ii) top1 destination networks focused on developed countries exhibiting shorter paths and preferring more advance countries, while top1 origin networks focused both on developed as well as more substantial developing nations that presented a longer path and more stable groups; (iii) only few countries have a decisive influence on community evolution of both top1 networks. USA took the leading position as a destination country in top1 destination networks, while China and India were the main Asian emigration countries in top1 origin networks; European countries and the Russian Federation played an important role in both. PMID:26859406

Poverty relief and development by way of out-immigration: new opportunities for women's participation in development.

PubMed

Wei, H; Bai, J

1997-01-01

This article discusses patterns of female migration out of Gansu province in China and the causes of women's problems in migration. China is initiating a relocation project for moving 200,000 people from poverty areas in central south Gansu province to the Shule River Basin in Jiuquan Prefecture of Gansu. The study provides findings from a migrant survey. Destination and origin areas differed in educational attainment. Occupations varied by gender. The ratio of men to women in all salaried occupations varied between origin and destination areas. 96.41% in the origin areas and 55.31% in the destination areas were women farmers. During 1985-90, 50,902 persons moved to destination areas, of which 24,181 (47.51%) were female. Women's movements were related to marriage and family reunification. Men migrated due to job transfers or employment and business opportunities. About 610,000 people were interested in migrating to the Shule River Valley. 46.67% of female migrants in the destination area indicated that they had no say in decision making concerning the move; in the origin areas only 32.02% had no say. Female migrants in the destination area arrived 3-9 years ago. Women in the destination area had more skills than women in origin areas. "Finding a way out" was the major reason for migration in both destination and origin areas. Origin areas had more migrants who moved due to landlessness. 26.67% of women returned for visits to the origin areas. Few men or women participated in premigration programs; but, following migration, 63% of women and 86% of men were attracted to education programs. Most desired technical programs. Many women suffered from low educational status, low employment, premature marriage, and early childbearing. These problems were due to a backward economy, traditional values, women's personal characteristics, excessive childbearing, reforms, and the market economy.

Evaluating area-based socioeconomic status indicators for monitoring disparities within health care systems: results from a primary care network.

PubMed

Berkowitz, Seth A; Traore, Carine Y; Singer, Daniel E; Atlas, Steven J

2015-04-01

To determine which area-based socioeconomic status (SES) indicator is best suited to monitor health care disparities from a delivery system perspective. 142,659 adults seen in a primary care network from January 1, 2009 to December 31, 2011. Cross-sectional, comparing associations between area-based SES indicators and patient outcomes. Address data were geocoded to construct area-based SES indicators at block group (BG), census tract (CT), and ZIP code (ZIP) levels. Data on health outcomes were abstracted from electronic records. Relative indices of inequality (RIIs) were calculated to quantify disparities detected by area-based SES indicators and compared to RIIs from self-reported educational attainment. ZIP indicators had less missing data than BG or CT indicators (p < .0001). Area-based SES indicators were strongly associated with self-report educational attainment (p < .0001). ZIP, BG, and CT indicators all detected expected SES gradients in health outcomes similarly. Single-item, cut point defined indicators performed as well as multidimensional indices and quantile indicators. Area-based SES indicators detected health outcome differences well and may be useful for monitoring disparities within health care systems. Our preferred indicator was ZIP-level median household income or percent poverty, using cut points. © Health Research and Educational Trust.

Osteoarthritis of the Foot and Ankle

MedlinePlus

... in or near the joint Difficulty walking or bending the joint Some patients with osteoarthritis also develop ... ps.position.alert.message}} Getting your location, one moment... Please enter a 5-digit zip code. Please ...

47 CFR 25.403 - Bidding application and certification procedures.

Code of Federal Regulations, 2010 CFR

2010-10-01

... CARRIER SERVICES SATELLITE COMMUNICATIONS Competitive Bidding Procedures for DARS § 25.403 Bidding...'s name; (b) Mailing Address (no Post Office boxes); (c) City; (d) State; (e) ZIP Code; (f) Auction...

47 CFR 25.403 - Bidding application and certification procedures.

Code of Federal Regulations, 2011 CFR

2011-10-01

... CARRIER SERVICES SATELLITE COMMUNICATIONS Competitive Bidding Procedures for DARS § 25.403 Bidding...'s name; (b) Mailing Address (no Post Office boxes); (c) City; (d) State; (e) ZIP Code; (f) Auction...

22 CFR 505.4 - Requirements and identification for making requests.

Code of Federal Regulations, 2010 CFR

2010-04-01

... social security number. You must also include your present mailing address and zip code, and if possible, a telephone number. (c) When signing a statement confirming your identity, you should understand...

Rural-urban differences in dental service use among children enrolled in a private dental insurance plan in Wisconsin: analysis of administrative data.

PubMed

Bhagavatula, Pradeep; Xiang, Qun; Szabo, Aniko; Eichmiller, Fredrick; Kuthy, Raymond A; Okunseri, Christopher E

2012-12-21

Studies on rural-urban differences in dental care have primarily focused on differences in utilization rates and preventive dental services. Little is known about rural-urban differences in the use of wider range of dental procedures. This study examined patterns of preventive, restorative, endodontic, and extraction procedures provided to children enrolled in Delta Dental of Wisconsin (DDWI). We analyzed DDWI enrollment and claims data for children aged 0-18 years from 2002 to 2008. We modified and used a rural and urban classification based on ZIP codes developed by the Wisconsin Area Health Education Center (AHEC). We categorized the ZIP codes into 6 AHEC categories (3 rural and 3 urban). Descriptive and multivariable analysis using generalized linear mixed models (GLMM) were used to examine the patterns of dental procedures provided to children. Tukey-Kramer adjustment was used to control for multiple comparisons. Approximately, 50%, 67% and 68% of enrollees in inner-city Milwaukee, Rural 1 (less than 2500 people), and suburban-Milwaukee had at least one annual dental visit, respectively. Children in inner city-Milwaukee had the lowest utilization rates for all procedures examined, except for endodontic procedures. Compared to children from inner-city Milwaukee, children in other locations had significantly more preventive procedures. Children in Rural 1-ZIP codes had more restorative, endodontic and extraction procedures, compared to children from all other regions. We found significant geographic variation in dental procedures received by children enrolled in DDWI.

Migration of patients between five urban teaching hospitals in Chicago.

PubMed

Galanter, William L; Applebaum, Andrew; Boddipalli, Viveka; Kho, Abel; Lin, Michael; Meltzer, David; Roberts, Anna; Trick, Bill; Walton, Surrey M; Lambert, Bruce L

2013-04-01

To quantify the extent of patient sharing and inpatient care fragmentation among patients discharged from a cohort of Chicago hospitals. Admission and discharge dates and patient ZIP codes from 5 hospitals over 2 years were matched with an encryption algorithm. Admission to more than one hospital was considered fragmented care. The association between fragmentation and socio-economic variables using ZIP-code data from the 2000 US Census was measured. Using validation from one hospital, patient matching using encrypted identifiers had a sensitivity of 99.3 % and specificity of 100 %. The cohort contained 228,151 unique patients and 334,828 admissions. Roughly 2 % of the patients received fragmented care, accounting for 5.8 % of admissions and 6.4 % of hospital days. In 3 of 5 hospitals, and overall, the length of stay of patients with fragmented care was longer than those without. Fragmentation varied by hospital and was associated with the proportion of non-Caucasian persons, the proportion of residents whose income fell in the lowest quartile, and the proportion of residents with more children being raised by mothers alone in the zip code of the patient. Patients receiving fragmented care accounted for 6.4 % of hospital days. This percentage is a low estimate for our region, since not all regional hospitals participated, but high enough to suggest value in creating Health Information Exchange. Fragmentation varied by hospital, per capita income, race and proportion of single mother homes. This secure methodology and fragmentation analysis may prove useful for future analyses.

Differences in the socio-economic distribution of inflammatory bowel disease and microscopic colitis.

PubMed

Sonnenberg, A; Turner, K O; Genta, R M

2017-01-01

Inflammatory bowel disease (IBD) and microscopic colitis are characterized by different geographical distributions across the USA. In this cross-sectional study we utilized demographic and socio-economic information associated with individual ZIP codes to further delineate the epidemiological characteristics of the two diseases. A total of 813 057 patients who underwent colonoscopy between 2008 and 2014 were extracted from an electronic database of histopathology reports. The prevalence of patients with IBD or microscopic colitis was expressed as percentage of the population associated with specific demographic (age, sex, ethnicity) and socio-economic characteristics (population size, housing value, annual income, tertiary education). Both diseases were more common among subjects from ZIP codes with predominantly White residents and less common among subjects from ZIP codes with predominantly non-White residents such as Black, Hispanic and Asian. These ethnic variations were more pronounced in microscopic colitis than IBD. Markers of affluence, such as average residential house value and annual income, were positively associated with IBD and negatively with microscopic colitis. The prevalence of both diseases was positively correlated with tertiary education. The occurrence of both IBD and microscopic colitis is influenced by environmental risk factors. The differences in the demographic, ethnic and socio-economic distributions of the two diseases suggest that different sets of risk factors affect the two diseases and that their aetiology is unrelated. Published [2016]. This article is a U.S. Government work and is in the public domain in the USA.

Hurricane Isaac: A Longitudinal Analysis of Storm Characteristics and Power Outage Risk.

PubMed

Tonn, Gina L; Guikema, Seth D; Ferreira, Celso M; Quiring, Steven M

2016-10-01

In August 2012, Hurricane Isaac, a Category 1 hurricane at landfall, caused extensive power outages in Louisiana. The storm brought high winds, storm surge, and flooding to Louisiana, and power outages were widespread and prolonged. Hourly power outage data for the state of Louisiana were collected during the storm and analyzed. This analysis included correlation of hourly power outage figures by zip code with storm conditions including wind, rainfall, and storm surge using a nonparametric ensemble data mining approach. Results were analyzed to understand how correlation of power outages with storm conditions differed geographically within the state. This analysis provided insight on how rainfall and storm surge, along with wind, contribute to power outages in hurricanes. By conducting a longitudinal study of outages at the zip code level, we were able to gain insight into the causal drivers of power outages during hurricanes. Our analysis showed that the statistical importance of storm characteristic covariates to power outages varies geographically. For Hurricane Isaac, wind speed, precipitation, and previous outages generally had high importance, whereas storm surge had lower importance, even in zip codes that experienced significant surge. The results of this analysis can inform the development of power outage forecasting models, which often focus strictly on wind-related covariates. Our study of Hurricane Isaac indicates that inclusion of other covariates, particularly precipitation, may improve model accuracy and robustness across a range of storm conditions and geography. © 2016 Society for Risk Analysis.

Varying impacts of alcohol outlet densities on violent assaults: explaining differences across neighborhoods.

PubMed

Mair, Christina; Gruenewald, Paul J; Ponicki, William R; Remer, Lillian

2013-01-01

Groups of potentially violent drinkers may frequent areas of communities with large numbers of alcohol outlets, especially bars, leading to greater rates of alcohol-related assaults. This study assessed direct and moderating effects of bar densities on assaults across neighborhoods. We analyzed longitudinal population data relating alcohol outlet densities (total outlet density, proportion bars/pubs, proportion off-premise outlets) to hospitalizations for assault injuries in California across residential ZIP code areas from 1995 through 2008 (23,213 space-time units). Because few ZIP codes were consistently defined over 14 years and these units are not independent, corrections for unit misalignment and spatial autocorrelation were implemented using Bayesian space-time conditional autoregressive models. Assaults were related to outlet densities in local and surrounding areas, the mix of outlet types, and neighborhood characteristics. The addition of one outlet per square mile was related to a small 0.23% increase in assaults. A 10% greater proportion of bars in a ZIP code was related to 7.5% greater assaults, whereas a 10% greater proportion of bars in surrounding areas was related to 6.2% greater assaults. The impacts of bars were much greater in areas with low incomes and dense populations. The effect of bar density on assault injuries was well supported and positive, and the magnitude of the effect varied by neighborhood characteristics. Posterior distributions from these models enabled the identification of locations most vulnerable to problems related to alcohol outlets.

Decryption-decompression of AES protected ZIP files on GPUs

NASA Astrophysics Data System (ADS)

Duong, Tan Nhat; Pham, Phong Hong; Nguyen, Duc Huu; Nguyen, Thuy Thanh; Le, Hung Duc

2011-10-01

AES is a strong encryption system, so decryption-decompression of AES encrypted ZIP files requires very large computing power and techniques of reducing the password space. This makes implementations of techniques on common computing system not practical. In [1], we reduced the original very large password search space to a much smaller one which surely containing the correct password. Based on reduced set of passwords, in this paper, we parallel decryption, decompression and plain text recognition for encrypted ZIP files by using CUDA computing technology on graphics cards GeForce GTX295 of NVIDIA, to find out the correct password. The experimental results have shown that the speed of decrypting, decompressing, recognizing plain text and finding out the original password increases about from 45 to 180 times (depends on the number of GPUs) compared to sequential execution on the Intel Core 2 Quad Q8400 2.66 GHz. These results have demonstrated the potential applicability of GPUs in this cryptanalysis field.

Navigating between two cultures: Immigrants’ gender attitudes toward working women

PubMed Central

Pessin, Léa; Arpino, Bruno

2018-01-01

BACKGROUND Gender attitudes toward women’s employment are of particular importance because they positively influence gender-equal outcomes in the labor market. Our understanding of the mechanisms that promote egalitarian gender attitudes among immigrants, however, remains limited. OBJECTIVE By studying first- and second-generation immigrants from multiple origins and living in different countries, this article seeks to explain under what conditions the prevalent cultural attitudes toward gender roles at the origin and destination influence immigrants’ gender attitudes. We address three main research questions. First, does the country-of-origin gender ideology influence immigrants’ views toward working women? Second, does the country-of-destination gender ideology influence immigrants’ view toward working women? Are these relationships moderated by (1) the immigrant generation; (2) the age at arrival in the country of destination; (3) the length of residence at destination? METHODS Using data from the European Social Survey, we model immigrants’ gender attitudes toward working women using linear cross-classified models to account for clustering into the country of origin and destination. RESULTS The results highlight the importance of the context of early socialization in shaping immigrants’ gender attitudes. First-generation immigrants, and more specifically, adult migrants hold gender attitudes that reflect more strongly the country of origin’s gender culture. In contrast, the positive association between gender ideology at destination and immigrants’ gender attitudes is stronger among second-generation immigrants and child migrants. CONTRIBUTION We add to the literature on gender ideology formation by analyzing the influence of gender ideology at the origin- and destination-levels on the gender attitudes of immigrants from 96 countries of origin and residing across 32 countries of destination. PMID:29606913

Nonlinear Real-Time Optical Signal Processing.

DTIC Science & Technology

1988-07-01

Principal Investigator B. K. Jenkins Signal and Image Processing Institute University of Southern California Mail Code 0272 Los Angeles, California...ADDRESS (09% SteW. Mnd ZIP Code ) 10. SOURC OF FUNONG NUMBERS Bldg. 410, Bolling AFB PROGAM CT TASK WORK UNIT Washington, D.C. 20332 EEETP.aso o 11...TAB Unmnnncced Justification By Distribution/ I O’ Availablility Codes I - ’_ ji and/or 2 I Summary During the period 1 July 1987 - 30 June 1988, the

42 CFR 3.212 - Nonidentification of patient safety work product.

Code of Federal Regulations, 2010 CFR

2010-10-01

... subdivisions smaller than a State, including street address, city, county, precinct, zip code and equivalent... three initial digits contains more than 20,000 people; (C) All elements of dates (except year) for dates...

OHD - OHD Staff

Science.gov Websites

Site Map News Organization Search NWS All NOAA Go Local forecast by "City, St" Search by city or zip code. Press enter or select the go button to submit request City, St Go Front Office OWP

OHD - Data Systems

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Site Map News Organization Search NWS All NOAA Go Local forecast by "City, St" Search by city or zip code. Press enter or select the go button to submit request City, St Go Front Office OWP

OHD - Additional Links

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Site Map News Organization Search NWS All NOAA Go Local forecast by "City, St" Search by city or zip code. Press enter or select the go button to submit request City, St Go Front Office OWP

OHD - Current history

Science.gov Websites

Site Map News Organization Search NWS All NOAA Go Local forecast by "City, St" Search by city or zip code. Press enter or select the go button to submit request City, St Go Front Office OWP

OHD - Field Support

Science.gov Websites

Site Map News Organization Search NWS All NOAA Go Local forecast by "City, St" Search by city or zip code. Press enter or select the go button to submit request City, St Go Front Office OWP

Alternative Fuels Data Center: Natural Gas Fueling Station Locations

Science.gov Websites

or ZIP code or along a route in the United States. Loading alternative fueling station locator Fleet Rightsizing System Efficiency Locate Stations Search by Location Map a Route Laws & Incentives

Beyond Molecular Codes: Simple Rules to Wire Complex Brains

PubMed Central

Hassan, Bassem A.; Hiesinger, P. Robin

2015-01-01

Summary Molecular codes, like postal zip codes, are generally considered a robust way to ensure the specificity of neuronal target selection. However, a code capable of unambiguously generating complex neural circuits is difficult to conceive. Here, we re-examine the notion of molecular codes in the light of developmental algorithms. We explore how molecules and mechanisms that have been considered part of a code may alternatively implement simple pattern formation rules sufficient to ensure wiring specificity in neural circuits. This analysis delineates a pattern-based framework for circuit construction that may contribute to our understanding of brain wiring. PMID:26451480

Design of an Orbital Inspection Satellite

DTIC Science & Technology

1986-12-01

ADDRESS (City, State, and ZIP Code ) 10. SOURCE OF FUNDING NUMBERS PROGRAM PROJECT TASK WORK UNITELEMENT NO. NO. NO. CCESSION NO. 11. TITLE (include...Captain, USAF Dh t ibutioni Availabiity Codes Avail adlor Dist [Special December 1986 Approved for public release; distribution...lends itself to the technique of multi -objective analysis. The final step is planning for action. This communicates the entire systems engineering

Ozone - Current Air Quality Index

MedlinePlus

GO! Local Air Quality Conditions Zip Code: State : My Current Location Current AQI Forecast AQI Loop More Maps AQI: Good (0 - 50) ... resources for Hawaii residents and visitors more announcements Air Quality Basics Air Quality Index | Ozone | Particle Pollution | Smoke ...

That Pain in Your Back Could be Linked to Your Feet

MedlinePlus

... hurts, so you change your gait to avoid bending the joint when you walk. Changing your gait ... ps.position.alert.message}} Getting your location, one moment... Please enter a 5-digit zip code. Please ...