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NCHS - Drug Poisoning Mortality by County: United States
healthdata.gov | Last Updated 2023-07-25T17:57:16.000ZThis dataset contains model-based county estimates for drug-poisoning mortality. Deaths are classified using the International Classification of Diseases, Tenth Revision (ICD–10). Drug-poisoning deaths are defined as having ICD–10 underlying cause-of-death codes X40–X44 (unintentional), X60–X64 (suicide), X85 (homicide), or Y10–Y14 (undetermined intent). Estimates are based on the National Vital Statistics System multiple cause-of-death mortality files (1). Age-adjusted death rates (deaths per 100,000 U.S. standard population for 2000) are calculated using the direct method. Populations used for computing death rates for 2011–2016 are postcensal estimates based on the 2010 U.S. census. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years before 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Death rates for some states and years may be low due to a high number of unresolved pending cases or misclassification of ICD–10 codes for unintentional poisoning as R99, “Other ill-defined and unspecified causes of mortality” (2). For example, this issue is known to affect New Jersey in 2009 and West Virginia in 2005 and 2009 but also may affect other years and other states. Drug poisoning death rates may be underestimated in those instances. Smoothed county age-adjusted death rates (deaths per 100,000 population) were obtained according to methods described elsewhere (3–5). Briefly, two-stage hierarchical models were used to generate empirical Bayes estimates of county age-adjusted death rates due to drug poisoning for each year. These annual county-level estimates “borrow strength” across counties to generate stable estimates of death rates where data are sparse due to small population size (3,5). Estimates for 1999-2015 have been updated, and may differ slightly from previously published estimates. Differences are expected to be minimal, and may result from different county boundaries used in this release (see below) and from the inclusion of an additional year of data. Previously published estimates can be found here for comparison.(6) Estimates are unavailable for Broomfield County, Colorado, and Denali County, Alaska, before 2003 (7,8). Additionally, Clifton Forge County, Virginia only appears on the mortality files prior to 2003, while Bedford City, Virginia was added to Bedford County in 2015 and no longer appears in the mortality file in 2015. These counties were therefore merged with adjacent counties where necessary to create a consistent set of geographic units across the time period. County boundaries are largely consistent with the vintage 2005-2007 bridged-race population file geographies, with the modifications noted previously (7,8). REFERENCES 1. National Center for Health Statistics. National Vital Statistics System: Mortality data. Available from: http://www.cdc.gov/nchs/deaths.htm. 2. CDC. CDC Wonder: Underlying cause of death 1999–2016. Available from: http://wonder.cdc.gov/wonder/help/ucd.html. 3. Rossen LM, Khan D, Warner M. Trends and geographic patterns in drug-poisoning death rates in the U.S., 1999–2009. Am J Prev Med 45(6):e19–25. 2013. 4. Rossen LM, Khan D, Warner M. Hot spots in mortality from drug poisoning in the United States, 2007–2009. Health Place 26:14–20. 2014. 5. Rossen LM, Khan D, Hamilton B, Warner M. Spatiotemporal variation in selected health outcomes from the National Vital Statistics System. Presented at: 2015 National Conference on Health Statistics, August 25, 2015, Bethesda, MD. Available from: http://www.cdc.gov/nchs/ppt/nchs2015/Rossen_Tuesday_WhiteOak_BB3.pdf. 6. Rossen LM, Bastian B, Warner M, and Khan D. NCHS – Drug Poisoning Mortality by County: United States, 1999-2015. Available from: https://data.cdc.gov/NCHS/NCHS-Drug-Poisoning-Mortality-by-County-United-Sta/pbkm-d27e. 7. National Center for Health Statistics. County geog
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Low Income Home Energy Assistance Program FY 2008 Household Data
healthdata.gov | Last Updated 2023-07-25T18:42:49.000Z<p>State-reported annual data collected on the presence of elderly, disabled, and young children in eligible households receiving Low Income Home Energy Assistance Program (LIHEAP) heating assistance, cooling assistance, crisis assistance or weatherization assistance.</p>
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Animal Contact Exhibits_Legal Epidemiology Research Procedure and Code Book_2016
healthdata.gov | Last Updated 2023-07-26T01:28:18.000ZAnimals at petting zoos and agricultural fairs can be carriers of pathogens, such as Escherichia coli. Disease outbreaks at animal contact exhibits can be prevented by handwashing after contact with animals and keeping food and beverage away from exhibits. This research procedure and code book accompanies the data set, Animal Contact Exhibits_Legal Epidemiology Dataset_2016, which catalogs and analyzes a collection of state hand sanitation laws for the following categories of animal contact exhibits: a. Petting zoos b. Agricultural fairs c. County or state fairs d. Exotic animal exhibits e. Circuses f. Zoos
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MD COVID-19 - First Outreach Within 24 Hours of Case Entered into CovidLINK
healthdata.gov | Last Updated 2023-07-25T20:41:25.000Z<b>NOTE:</b> THIS LAYER IS DEPRECATED (Last updated 6/7/2022). Was formerly updated weekly. <b>Summary</b> The daily percentage of confirmed COVID-19 cases that are entered into covidLINK that have received a first contact tracing contact attempt within 24 hours of entry. <b>Description</b> The MD COVID-19 - First Outreach Within 24 Hours of Case Entered into CovidLINK data layer reflects the daily percentage of confirmed COVID-19 cases that are entered into covidLINK that have received a first contact attempt within 24 hours of entry. The first outreach attempt is defined as a documented phone call. Individuals that responded to outreach attempts were verified as the intended call recipient are considered successfully reached. Data are updated weekly on Wednesday during the 10 a.m. hour (data is reported through the previous Saturday). <b>Terms of Use</b> The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
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Health Insurance Marketplace: Summary Enrollment Data for the Initial Annual Open Enrollment Period
healthdata.gov | Last Updated 2023-07-25T20:47:20.000Z<p>This file includes data for states that are implementing their own Marketplaces, also known as State-Based Marketplaces or SBMs, and states with Marketplaces that are supported by or fully run by the federal government, including those run in partnership with states, also known as the Federally-Facilitated Marketplace or FFM. Includes demographic characteristics, and plan selected (by metal level). Please refer to the full report listed under Resources.</p>
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Children by Disposition
healthdata.gov | Last Updated 2023-07-25T18:18:16.000ZThe numbers of children (duplicate count) are counted once for each investigation response or alternative response that reached a disposition (finding) for the most recent federal fiscal year for which data are available. *11/29/2021: Added column including year in which data was collected. To view more National Child Abuse and Neglect Data System (NCANDS) findings, click link to summary page below: https://healthdata.gov/stories/s/kaeg-w7jc
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Approved Animal Drug Products (Green Book)
healthdata.gov | Last Updated 2023-07-25T18:40:13.000ZOn November 16, 1988, the President of the United States signed into law the Generic Animal Drug and Patent Restoration Act (GADPTRA). Among its major provisions, the Act extends eligibility for submission of Abbreviated New Animal Drug Applications (ANADAs) to all animal drug products approved for safety and effectiveness under the Federal Food, Drug, and Cosmetic Act. The Act also requires that each sponsor of an approved animal drug product submit to the FDA certain information regarding patents held for the animal drug or its method of use. The Act requires that this information, as well as a list of all animal drug products approved for safety and effectiveness, be made available to the public. This list must be updated monthly under the provisions of the Act. This publication, which is known as the �Green Book�, was first published in January of 1989. Updates have been added monthly since then. The list is published in its entirety each January.
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I-MAGIC
healthdata.gov | Last Updated 2023-07-26T12:35:42.000ZI-MAGIC is an interactive tool to demonstrate how the SNOMED CT to ICD-10-CM map (https://www.nlm.nih.gov/research/umls/mapping_projects/snomedct_to_icd10cm.html) can be used to generate ICD-10-CM codes from clinical problems coded in SNOMED CT. It simulates a problem list entry interface in which the user searches for problem terms which are mapped to SNOMED CT codes in the back end. The SNOMED CT codes are then used to derive ICD-10-CM codes using the Map.
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HIV Ambulatory Care Quality of Care Performance Results: Beginning 2011
healthdata.gov | Last Updated 2023-07-25T20:37:30.000ZThis dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.
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PubMed total records by publication year
healthdata.gov | Last Updated 2023-07-25T18:44:25.000ZYearly citation totals from each year of the MEDLINE/PubMed Baseline referencing citations back to year 1781. These totals may increase over time for a particular year as new citations are added. For example, 25 citations were listed for the year 1800 in the 2018 MEDLINE/PubMed Baseline, while the 2019 Baseline includes 387 citations for that year.