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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,871 datasets
Reports of City of Bloomington employees with positive COVID-19 viral test results by department since March 28, 2020. The dataset also includes results from the municipal corporations of the Bloomington Housing Authority, Bloomington Transit, and the City of Bloomington Utilities. Data is provided by the City of Bloomington and was last updated on March 22, -2026.
A dataset of insurance claims published on Kaggle. The specific time range, size, and source organization are unknown. The dataset likely contains records related to claim events, which may be used for analytical modeling.
Tiago Jesus and ICPSR Harvested Dataverse provide county-level data on post-acute therapy utilization for Fee-For-Service Medicare beneficiaries. The dataset supports analysis of rural-urban disparities from 2013 to 2021, including pre- and post-pandemic periods. It is designed for hierarchical regressions and spatiotemporal hot spot analysis using geographic information systems.
U.S. sub-state level predictions of COVID-19 vaccine hesitancy rates, developed by the U.S. Department of Health and Human Services. Estimates are based on the Household Pulse Survey and the 2019 American Community Survey, focusing on data from the collection period May 26 to June 7, 2021. The data is aggregated at the Public Use Microdata Area (PUMA) level, where each area contains at least 100,000 people.
The dataset provides modeled hesitancy rates for COVID-19 vaccination at the Public Use Microdata Area (PUMA) level, with each PUMA containing at least 100,000 people. Estimates were developed by the U.S. Department of Health and Human Services using Household Pulse Survey data from May 26 to June 7, 2021 (Week 31) and American Community Survey microdata. It is intended to support state and local communication and outreach efforts.
2013-2021 county-level data quantifies rural-urban disparities in post-acute therapy utilization among Medicare Fee-For-Service beneficiaries. The analysis focuses on therapy minutes from Inpatient Rehabilitation Facilities, Skilled Nursing Facilities, and Home Health Agencies, adjusted for Hierarchical Condition Category risk scores. It supports hierarchical regression and spatiotemporal hot spot analysis to identify clusters of low utilization.
Influenza vaccination coverage data from the National Immunization Survey-Flu and Behavioral Risk Factor Surveillance System. The dataset includes estimates, confidence intervals, and sample sizes at national, regional, and state levels. It is published by data.cdc.gov and was last updated on January 20, 2026.
COVID-19 Global Regions Dataset is a dataset published on Kaggle. Its specific content, such as case counts, testing rates, or vaccination figures, is not detailed in the available metadata. The dataset's author, organization, and temporal coverage are unknown.
Public Health England and the British Geological Survey jointly developed a definitive map of radon Affected Areas in England and Wales. The dataset estimates the probability that a property exceeds the radon Action Level of 200 Bq m-3, supporting legal property enquiries and building regulations.
A time-series dataset from the Rio de Janeiro City Hall and Municipal Health Secretariat tracks the cumulative number of confirmed COVID-19 cases, deaths, and recoveries by neighborhood in Rio de Janeiro, Brazil. The data covers the period from 21 April 2020 until December 2020. It was aggregated from the city's COVID-19 panel and shared under a public domain license.
Toronto Public Health data contains demographic, geographic, and severity information for all confirmed and probable COVID-19 cases reported since January 2020. Records are extracted from the provincial iPHIS system and Toronto's CORES case management system and combined for reporting. The data is subject to change as public health investigations and quality improvement initiatives are ongoing.
Brazil's burden of smoking in 2015 was estimated using mathematical microsimulation and tax models. Smoking was responsible for 156,337 deaths and BRL 56.9 billion in total costs. The study, by Márcia Pinto, modeled that a 50% cigarette price increase could avert 136,482 deaths and generate BRL 97.9 billion in economic benefit over 10 years.
Brazilian national epidemiological data from the Unified Public Health System (SUS) was used to assess the impact of the COVID-19 pandemic on cardiovascular diseases. The study compares hospital admissions, in-hospital deaths, and in-hospital fatality rates from January to May 2020 against data from 2016-2019 and projected 2020 trends. The analysis was conducted by Paulo G. Normando and published in 2021.
Kaggle hosts a dataset titled 'COVID-19 Statistics'. The dataset likely contains case counts, death tolls, and recovery figures. Its specific geographic scope, time range, and collection method are not detailed in the provided metadata.
Insurance claims data published on Kaggle. The dataset likely contains records of insurance claims, which may include details about policyholders, incidents, and financial amounts. Specific details about the number of records, features, and collection methodology are not provided in the available metadata.
A dataset of SARS-CoV-2 peptides predicted to bind to 11 HLA allotypes, used in the paper "COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes". It includes predictions from multiple computational tools and results from a stability assay, revealing potential vaccine targets. The data was contributed by Marek Prachař from the University of Copenhagen.
The R0 package implements several documented methods for estimating reproduction numbers from incidence data. Authors Pierre-Yves Boelle and Thomas Obadia developed tools for calculating both basic (R0) and real-time (R(t)) reproduction numbers with confidence intervals. Sensitivity analysis tools allow investigation of the effects of varying generation time distributions or time windows.
A dataset from Kaggle concerning the COVID-19 epidemic and vaccination efforts. The specific temporal coverage, geographic scope, and data collection method are not detailed in the provided metadata. The dataset's content and structure require verification after download.
Weekly cumulative doses of influenza vaccine distributed in the United States, measured in millions. The data is produced by the United States Department of Health and Human Services, Centers for Disease Control and Prevention, with the most recent update in February 2026. It tracks vaccine supply projections, such as the 173.5 to 183.5 million doses projected for the 2022-2023 season.
173.5 million to 183.5 million doses were projected for the 2022-2023 flu season. This dataset tracks the weekly cumulative distribution of influenza vaccine doses in the United States, aggregated by flu season. The data is produced by the CDC and archived from a public health surveillance system.