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Immunizations in Child Care by Academic Year
healthdata.gov | Last Updated 2024-06-06T04:00:30.000ZThis dataset contains immunization status of child care facility enrollees aged 2 years to 4 years 11 months in California in facilities with 10 or more children enrolled. Smaller schools were excluded to help protect privacy. Explanation of the different immunizations is in the attached data dictionary. The California Health and Safety Code Section 120325-75 requires students to provide proof of immunization for school and child care entry. Additionally, California Health and Safety Code Section 120375 and California Code of Regulation Section 6075 require all schools and child care facilities to assess and report annually the immunization status of their enrollees. The annual child care assessment is conducted each fall to monitor compliance with the California School Immunization law. Results from this assessment are used to measure immunization coverage among children entering licensed child care facilities. This data set presents results from the child care assessment and immunization coverage in licensed child care facilities by county. Not all facilities reported. To review individual child care facility coverage and exemption rates in a separate lookup format, go to the School Lookup page at the Immunization Branch's Shots for School website: http://www.shotsforschool.org/lookup/ See the full PDF reports by year here:https://www.shotsforschool.org/child-care/reporting-data/ See the attached file 'Notes on Methods' for data suppression in the '2016-17 academic year and beyond'. For earlier years of data: https://www.shotsforschool.org/child-care/reporting-data/
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Newly Eligible Individuals by Insurance Affordability Program (IAP)
healthdata.gov | Last Updated 2024-06-14T04:00:20.000ZThis dataset includes the total number of newly eligible individuals by Insurance Affordability Program (IAP), by reporting period. IAPs include Medi-Cal, Covered California subsidized and unsubsidized Qualified Health Plans (QHP), and the Medi-Cal Access Program (MCAP). Covered California subsidized and unsubsidized QHP newly eligible data includes those who selected and enrolled in a QHP, and paid their first premium. This dataset is part of public reporting requirements set forth by the California Welfare and Institutions Code 14102.5.
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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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Older Americans Act Title IIIC-1 Nutrition Services - Congregate Meals Program and Participants
healthdata.gov | Last Updated 2023-07-25T20:41:32.000ZThis data set represents the total number of Californians age 60 and over who were provided a meal from the Older Americans Act Title IIIC-1 Nutrition Services Program – Congregate Meals. Key sociodemographic variables include: age, high risk nutrition status, low income, lives alone and minority/non-minority.
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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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Assisted Reproductive Technology (ART) Surveillance
healthdata.gov | Last Updated 2023-07-25T17:53:28.000Z<p>In 1992, Congress enacted the Fertility Clinic Success Rate and Certification Act (FCSRCA). The act requires CDC to collect data from clinics and submit an annual report to Congress on Assisted Reproductive Technology (ART) success rates. In 1996, CDC initiated the ART Surveillance System to collect cycle specific and clinic specific data from all medical clinics practicing ART in the United States and its territories. The data collected include patient's diagnosis, type of ART, clinical information pertaining to the ART procedure, and information on pregnancy outcomes.</p>
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Department of Human Services(DHS): Child Support Enforcement Administration Performance Measures
healthdata.gov | Last Updated 2023-11-21T04:02:09.000ZCHILD SUPPORT ENFORCEMENT ADMINISTRATION The performance measures are used to evaluate each State's performance and measure results in the Child Support Enforcement program. These measures emphasize paternity establishment, support order establishment, collection of current support, collection of arrearages, and cost effectiveness. The performance measures, except cost effectiveness which can only be measured annually, are calculated from data which is reported on federal form OCSE 157. CASES WITH SUPPORT ORDERS This metric measures the proportion of IV-D cases with support orders established. Equation: Number of IV-D Cases with Support Orders divided by Total Number of IV-D Cases IV-D Paternity Establishment Percentage: This metric measures the proportion of children in the IV-D caseload as of the end of the preceding FFY who were born out of wedlock is the total number of children in the IV-D caseload in the federal fiscal year born out of wedlock with paternity established or acknowledged divided by the total number of children in the IV-D caseload as of the end of the preceding FFY who were born out of wedlock. . Equation: Total # of Children in IV-D Caseload in the Federal Fiscal Year or, as of the end of the Fiscal Year who were born out of wedlock with Paternity Established or Acknowledged divided by Total # of Children in IV-D Caseload as of the end of the preceding Federal Fiscal Year who were Born Out of Wedlock COLLECTIONS ON CURRENT SUPPORT This measure focuses on the proportion of current support due that is collected on IV-D cases. Equation: Total Dollars Collected for Current Support in IV-D Cases during the Federal Fiscal Year divided by Total Dollars Owed for Current Support in IV-D Cases during the Federal Fiscal Year COLLECTIONS ON ARREARS The measure assesses efforts to collect money from those cases with an arrearage due. The measure specifically counts paying cases, and not total arrears dollars collected. Equation: Total number of IV-D cases paying toward arrears during the Federal Fiscal Year divided by Total number of IV-D cases with arrears due
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Women, Infants, and Children (WIC) Income Eligibility Guidelines: 2017-2018
healthdata.gov | Last Updated 2023-07-25T18:25:51.000ZThis dataset includes income eligibility guidelines for participation in the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) offers nutrition education, breastfeeding support, referrals and a variety of nutritious foods to low-income pregnant, breastfeeding, or postpartum women, infants, and children up to age five to promote and support good health.
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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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School Immunizations in Kindergarten by Academic Year
healthdata.gov | Last Updated 2024-06-05T04:01:34.000ZThis dataset contains immunization status of kindergarten students in California in schools. Explanation of the different immunizations is in the attached data dictionary. The California Health and Safety Code Section 120325-75 requires students to provide proof of immunization for school and child care entry. Additionally, California Health and Safety Code Section 120375 and California Code of Regulation Section 6075 require all schools and child care facilities to assess and report annually the immunization status of their enrollees. The annual kindergarten assessment is conducted each fall to monitor compliance with the California School Immunization law. Results from this assessment are used to measure immunization coverage among students entering kindergarten. Not all schools reported. This data set presents results from the kindergarten assessment and immunization coverage in kindergarten schools by county. To review individual school coverage and exemption rates in a separate lookup format, go to the School Lookup page at the Immunization Branch's Shots for School website: http://www.shotsforschool.org/lookup/ To see the PDF reports by year go to:https://www.shotsforschool.org/k-12/reporting-data/ See the attached file 'Notes on Methods' for data suppression in the '2016-17 ' data and after. For earlier years of data: https://www.shotsforschool.org/k-12/reporting-data/