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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,871 datasets
Chicago Department of Public Health aggregates weekly respiratory virus laboratory data from hospital and commercial labs. The dataset tracks influenza, COVID-19, RSV, and other viruses, with influenza data available from the 2010-2011 season onward. Data are provisional and represent tests performed on both Chicago and non-Chicago residents.
Two tables from the California Health Interview Survey provide asthma prevalence percentages stratified by county and age group for 2-year periods. A third table from the California Behavioral Risk Factor Surveillance System offers yearly statewide data for adults aged 18 and older. The data includes lifetime and current asthma prevalence metrics.
The California Department of Public Health aggregates confirmed COVID-19 cases by sewershed restricted locations. Confirmed cases are defined by a positive molecular test, with data available from January 1, 2021. Case counts below specific thresholds are masked according to population-based de-identification guidelines.
A 1-km grid map classifies Northern Ireland by the highest radon potential found within each square. The dataset provides a simplified, indicative overview of areas where homes have an estimated 1% or greater chance of exceeding the radon Action Level of 200 Bq m⁻³. It is derived from the definitive Radon Potential Dataset and published in a 2015 report by PHE, GSNI, and BGS.
Replication materials support a review of political factors and policy maker recommendations for integrating health systems and public programs. The data originates from the European Social Survey and was published by a researcher at Harvard Dataverse. The associated materials were last updated in March 2026.
Kaggle hosts a dataset of tweets related to vaccination. The dataset likely contains text posts from the social media platform X (formerly Twitter). Metadata is minimal; the author, collection time range, and specific geographic scope are unknown.
A collection of news articles related to the COVID-19 pandemic declared by the World Health Organization (WHO) in 2019-2020. The dataset was contributed by an individual and shared on OpenML under a CC0 license. Its specific size, date range, and geographic scope are not detailed in the provided metadata.
Annual COVID-19 statistics for Ibero-American countries cover cases, deaths, recoveries, mortality rates, and vaccinations from 2019 to 2024. The dataset is a policy brief synthesized from an existing source, providing a structured overview of pandemic impacts across the region. Its tabular, time-series format likely facilitates comparative analysis of public health outcomes.
Triple Jeopardy mapping estimates heat-related mortality in London by combining urban heat island effects, indoor temperature anomalies, and population age vulnerability. The dataset includes four layers of mortality estimates per million population over a 55-day period in 2006, including a four-day heatwave. It was produced by the Greater London Authority and last updated on March 25, 2026.
Antarctic skua nests were studied to investigate the high mortality rate of second-hatched chicks. The dataset contains observations on egg content, chick weights, feeding rates, and parental brooding behavior, alongside experimental manipulations of chick placement and starvation. Data was collected by the organization SCIOPS and last updated in February 1967.
A severe measles outbreak affected Bangladesh in early 2026, with Dhaka as a focal point. The dataset likely contains epidemiological records related to this event, though its specific structure and size are unknown. Its origin and licensing details are not provided.
This dataset tracks over 300 employee-owned electric vehicles during a 4-year period, examining workplace charging behavior. It includes analysis of free versus paid charging and distinguishes data before and after the onset of COVID-19.
30 specific causes of death, including opioid overdose, homicide, and Parkinson's disease, are tracked with annual death counts and rates. The Cook County Department of Public Health compiled this data from Illinois Vital Statistics. The dataset was last updated in January 2026.
Filled with over 252 million Twitter posts from more than 29 million unique users, collected from January 28, 2020, to June 1, 2022, using keywords related to COVID-19. Each tweet is labeled with seventeen attributes, including relevance to ten topics, sentiment intensity, and emotion scores for fear, anger, sadness, and happiness.
This database contains mental health indicators, prevalence of mental disorders, and risk factors across global and regional populations. It includes data on depression, anxiety, suicide, and other relevant indicators for mental health research, covering various countries and demographic groups. The dataset was authored by Juan Moises de la Serna and last updated in February 2026.
New-Cases-of-COVID-19-In-World-Countries tracks daily new COVID-19 cases globally. The data uses a 5-day moving average to visualize trends and calculate rates of change, aiming to show whether countries are flattening the curve. It was last updated on April 25, 2020.
Paulo Germano de Frias from Universidade Federal de Pernambuco conducted an anthropological study on female burn patients in Northeast Brazil. The research, published on paperswithcode, investigates six information-rich cases from a Burn Center in Fortaleza, Ceará State, Brazil in 2009. It uses ethnographic interviews, narratives, and participant observation to analyze cultural meanings of monstrosity and gender violence related to burns.
A cross-sectional ecological study calculated disease-specific mortality rates and ICU resource rates per 100,000 inhabitants across Brazil's Health Regions. Rafael da Silveira Moreira used data from the Brazilian Health Informatics Department (DATASUS) for 2017 and 2019. Four latent mortality profiles were identified, with regions showing high mortality and resource shortages concentrated in parts of the Northeast, Southeast, and South.
NOAA National Ocean Service provides a high-resolution historical shoreline GIS data layer for Berkley to Daly City, California. The data were automated from shoreline maps based on office interpretation of imagery and/or field surveys. The attribution follows the NGS-developed C-COAST scheme, influenced by the IHO S-57 standard.
A community-driven data repository aggregates molecular structures, models, therapeutics, and simulations related to COVID-19 (SARS-CoV-2). The data is hosted on AWS S3 and was curated by the Molecular Sciences Software Institute (MolSSI) and BioExcel to accelerate computational drug discovery. The dataset's size, row count, and last update date are unknown.