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Botswana Combination Prevention Project (BCPP) - Public Release Data
data.cdc.gov | Last Updated 2022-05-24T12:45:57.000ZThe Botswana Combination Prevention Project (BCPP) was a research project conducted by the Botswana Ministry of Health (MOH), Harvard School of Public Health/Botswana Harvard AIDS Institute Partnership (BHP), and the U.S. Centers for Disease Control and Prevention (CDC). BCPP was a community randomized trial that examined the impact of prevention interventions on HIV incidence in 15 intervention and 15 control communities. The interventions included extensive HIV testing, linkage to care, and universal treatment services. To reduce HIV incidence in the intervention communities, the UNAIDS 90-90-90 goals were used: 90% of HIV-positive persons know their status; 90% of persons who know status are to be on ART; 90% of persons on ART are to be virally suppressed. The BCPP study is composed of 2 interlocking protocols: Evaluation Protocol and Intervention Protocol. The Evaluation Protocol of the BCPP evaluated the primary endpoint (HIV incidence), as well as some key related secondary endpoints. This protocol focused on the Baseline Household Survey; the HIV Incidence Cohort; and an End of Study Survey. The Intervention Protocol of the BCPP implemented the combination prevention (CP) intervention package in CPCs and measures the uptake of these interventions (expanded HIV testing and counselling, strengthened male circumcision, and expanded HIV Care and Treatment).
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Cumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Persons 18-49 years
data.cdc.gov | Last Updated 2024-05-03T13:59:26.000ZCumulative Influenza Vaccination Coverage, by Flu Season and Race/Ethnicity, Pregnant Persons 18-49 years • These monthly flu vaccination coverage estimates for pregnant persons are based on electronic health record (EHR) data from the Vaccine Safety Datalink (VSD), a collaboration between CDC’s Immunization Safety Office and nine integrated health care organizations.§ This system has been used annually to estimate vaccination coverage among pregnant persons. COVID-19 vaccination coverage for pregnant persons is available here. • Figure 3A. Monthly Cumulative Influenza Vaccination Coverage*, by Flu Season and Race/Ethnicity, Pregnant Persons 18-49 years, United States, Data Source: Vaccine Safety Datalink • Figure 3B. Cumulative Influenza Vaccination Coverage*, by Month, Flu Season, and Race/Ethnicity, Pregnant Persons 18-49 years, United States, Data Source: Vaccine Safety Datalink • For any month’s coverage estimate, the denominator is the number of persons with a pregnancy during the current flu season (defined as August through March) beginning before or during the specified month. The numerator is the subset of the denominator who have received flu vaccination prior to, during, or after pregnancy. The denominator increases as more persons are identified as pregnant or having been pregnant during the flu season. Cumulative vaccination coverage for one month may be lower than cumulative coverage for a previous month due to addition to the denominator of persons who are less likely to have received vaccination.
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NNDSS - Table II. Giardiasis to Haemophilus influenza
data.cdc.gov | Last Updated 2016-03-03T19:42:32.000ZNNDSS - Table II. Giardiasis to Haemophilus influenza - 2014. In this Table, all conditions with a 5-year average annual national total of more than or equals 1,000 cases but less than or equals 10,000 cases will be displayed (≥ 1,000 and ≤ 10,000). The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories. Note: These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting. Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available. Footnotes: C.N.M.I.: Commonwealth of Northern Mariana Islands. U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum. * Case counts for reporting years 2013 and 2014 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly. † Data for H. influenzae (age <5 yrs serotype b, nonserotype b, and unknown serotype) are available in Table I. More information on NNDSS is available at http://wwwn.cdc.gov/nndss/.
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HHS Provider Relief Fund
data.cdc.gov | Last Updated 2024-07-25T01:34:27.000ZHHS is providing support to healthcare providers fighting the coronavirus disease 2019 (COVID-19) pandemic through the bipartisan Coronavirus Aid, Relief, & Economic Security (CARES) Act; the Paycheck Protection Program and Health Care Enhancement Act (PPPHCEA); and the Coronavirus Response and Relief Supplemental Appropriations (CRRSA) Act, which provide a total of $178 billion for relief funds to hospitals and other healthcare providers on the front lines of the COVID-19 response. This funding supports healthcare-related expenses or lost revenue attributable to COVID-19 and ensures uninsured Americans can get treatment for COVID-19. HHS is distributing this Provider Relief Fund (PRF) money and these payments do not need to be repaid. The Department allocated $50 billion in PRF payments for general distribution to Medicare facilities and providers impacted by COVID-19, based on eligible providers' net reimbursement. HHS has made other PRF distributions to a wide array of health care providers and more information on those distributions can be found here: https://www.hhs.gov/coronavirus/cares-act-provider-relief-fund/data/index.html
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AH Monthly Provisional Counts of Deaths for Select Causes of Death by Sex, Age, and Race and Hispanic Origin
data.cdc.gov | Last Updated 2022-04-01T21:33:55.000ZProvisional counts of deaths by the month the deaths occurred, by age group, sex, and race/ethnicity, for select underlying causes of death for 2020-2021. Final data are provided for 2019. The dataset also includes monthly provisional counts of death for COVID-19, coded to ICD-10 code U07.1 as an underlying or multiple cause of death.
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Healthy People 2020 Final Progress Table
data.cdc.gov | Last Updated 2023-08-23T19:39:25.000Z[1] Status is determined using the baseline, final, and target value. The statuses used in Healthy People 2020 were: 1 - Target met or exceeded—One of the following applies: (i) At baseline, the target was not met or exceeded, and the most recent value was equal to or exceeded the target. (The percentage of targeted change achieved was equal to or greater than 100%.); (ii) The baseline and most recent values were equal to or exceeded the target. (The percentage of targeted change achieved was not assessed.) 2 - Improved—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved 10% or more of the targeted change. 3 - Little or no detectable change—One of the following applies: (i) Movement was toward the target, standard errors were available, and the percentage of targeted change achieved was not statistically significant; (ii) Movement was toward the target, standard errors were not available, and the objective had achieved less than 10% of the targeted change; (iii) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was not statistically significant; (iv) Movement was away from the baseline and target, standard errors were not available, and the objective had moved less than 10% relative to the baseline; (v) No change was observed between the baseline and the final data point. 4 - Got worse—One of the following applies: (i) Movement was away from the baseline and target, standard errors were available, and the percent change relative to the baseline was statistically significant; (ii) Movement was away from the baseline and target, standard errors were not available, and the objective had moved 10% or more relative to the baseline. 5 - Baseline only—The objective only had one data point, so progress toward target attainment could not be assessed. Note that if additional data points did not meet the criteria for statistical reliability, data quality, or confidentiality, the objective was categorized as baseline only. 6 - Informational—A target was not set for this objective, so progress toward target attainment could not be assessed. [2] The final value is generally based on data available on the Healthy People 2020 website as of January 2020. For objectives that are continuing into Healthy People 2030, more recent data are available on the Healthy People 2030 website: https://health.gov/healthypeople. [3] For objectives that moved toward their targets, movement toward the target was measured as the percentage of targeted change achieved (unless the target was already met or exceeded at baseline): Percentage of targeted change achieved = (Final value - Baseline value) / (HP2020 target - Baseline value) * 100 [4] For objectives that were not improving, did not meet or exceed their targets, and did not move towards their targets, movement away from the baseline was measured as the magnitude of the percent change from baseline: Magnitude of percent change from baseline = |Final value - Baseline value| / Baseline value * 100 [5] Statistical significance was tested when the objective had a target, at least two data points (of unequal value), and available standard errors of the data. A normal distribution was assumed. All available digits were used to test statistical significance. Statistical significance of the percentage of targeted change achieved or the magnitude of the percentage change from baseline was assessed at the 0.05 level using a normal one-sided test. [6] For more information on the Healthy People 2020 methodology for measuring progress toward target attainment and the elimination of health disparities, see: Healthy People Statistical Notes, no 27; available from: https://www.cdc.gov/nchs/data/sta
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COVID-19 Vaccine Distribution Allocations by Jurisdiction - Janssen
data.cdc.gov | Last Updated 2021-05-05T13:29:32.000ZNew weekly allocations of doses are posted every Tuesday. Beginning the following Thursday, states can begin ordering doses from that week’s new allocation of 1st doses. Beginning two weeks (Pfizer) or three weeks (Moderna) from the following Sunday, states can begin ordering doses from that week’s new allocation of 2nd doses. After doses are ordered by states, shipments begin the following Monday. The entire order may not arrive in one shipment or on one day, but over the course of the week. Second doses are opened up for orders on Sundays, at the appropriate interval two or three weeks later according to the manufacturer’s label, with shipments occurring after jurisdictions place orders. Shipments of an FDA-authorized safe and effective COVID-19 vaccine continue to arrive at sites across America. Vaccinations began on December 14, 2020. https://www.hhs.gov/coronavirus/covid-19-vaccines/index.html Pfizer Vaccine Data - https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Initial-Allocations-Pfizer/saz5-9hgg Moderna Vaccine Data- https://data.cdc.gov/Vaccinations/COVID-19-Vaccine-Distribution-Allocations-by-Juris/b7pe-5nws
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Nowcast Predictions for Chikungunya Virus-Infected Travelers
data.cdc.gov | Last Updated 2018-02-21T19:09:41.000ZInteractive visualization: http://www.cdc.gov/chikungunya/modeling/index.html. This dataset contains monthly predictions for the spread of chikungunya virus transmission. A full description of the methods is available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0104915.
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Influenza Vaccination Coverage for All Ages (6+ Months)
data.cdc.gov | Last Updated 2023-09-28T16:08:58.000ZInfluenza Vaccination Coverage for All Ages (6+ Months) • Data on influenza vaccination coverage from the National Immunization Survey-Flu (NIS-Flu) and the Behavioral Risk Factor Surveillance System (BRFSS) for the general population at the national, regional, and state levels by age group and race/ethnicity. • Additional information available at https://www.cdc.gov/flu/fluvaxview/index.htm
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CDC Metrics monthly trends, by year, since 2004
data.cdc.gov | Last Updated 2022-07-13T17:09:55.000ZFor more information on CDC.gov metrics please see http://www.cdc.gov/metrics/