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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,871 datasets
21367 rows of data from the Manhiça Health and Demographic Surveillance System (HDSS) in Southern Mozambique track mortality patterns. The dataset likely contains detailed records for analyzing changes in mortality rates before and during the COVID-19 pandemic. It is structured as an Excel file and is intended as supplementary material for a related study.
This dataset supports a study on the relationship between wildfire smoke exposure and suicide risk across U.S. counties from 2007 to 2019. It contains cleaned, publicly-available data and code for replicating the analysis, which uses satellite-based measures of smoke and PM2.5 and county-level monthly suicide death counts. The study found significant effects in rural counties, particularly among men, working-age adults, non-Hispanic Whites, and adults with no college education.
CDC estimates of weekly cumulative influenza vaccinations administered to US adults aged 18 and older in retail pharmacies and physician medical offices. The data is sourced from IQVIA, with sampled pharmacies and medical offices representing approximately 92% and 82% of national influenza vaccine administration volumes, respectively. Vaccinations from other settings like workplaces are not included.
State and territorial executive orders, administrative orders, resolutions, and proclamations for COVID-19 mask requirements were collected and coded from government websites. These data track when members of the public were required to wear masks in public spaces, broken down to the county level from April 10, 2020, through August 15, 2021. The dataset was compiled by the CDC and partners, including the University of Nevada, Las Vegas.
State and territorial executive orders, administrative orders, resolutions, and proclamations requiring mask-wearing in public were collected and coded by the CDC and partners. The dataset tracks these mandates at the county level across U.S. states and territories from April 10, 2020, through August 15, 2021. Orders were sourced from government websites and official press releases, with quality assurance performed by multiple coders.
Comprising data from a randomized comparative effectiveness trial with 329 participants from three U.S. health networks. It compares two 8-week digital behavioral treatments for chronic pain, one using a standard screen and the other using virtual reality, with surveys measuring pain intensity and distress. The study was conducted during and after the COVID-19 pandemic.
Annenberg Public Policy Center at the University of Pennsylvania conducted this survey, likely measuring public knowledge of science and health topics. The dataset is hosted on the Roper Harvested Dataverse and was last updated on April 23, 2026. Its specific content and scale require verification after download.
Wave 27 of the Annenberg Science and Public Health (ASAPH) Knowledge Survey, a longitudinal public opinion poll. The dataset is authored by the Annenberg Public Policy Center at the University of Pennsylvania and was last updated on the dataverse platform in April 2026. The content likely contains survey responses measuring public understanding of science and health topics.
This repository provides 270 structural indicators and country-level cervical cancer projections for 175 countries, authored by Mauricio Cuello in March 2026. It contains Monte Carlo simulation outputs and cost estimates used to evaluate the global feasibility of cancer elimination. The data is accompanied by R scripts to facilitate verification and reuse of the modeling analysis.
1990 to 2016 estimates of prevalence, incidence, deaths, and disability-adjusted life-years (DALYs) for 15 neurological disorder categories across 195 countries. The analysis was conducted by the Global Burden of Disease Study 2016 and authored by Benedict Michael of the University of Liverpool. It quantifies the contribution of 84 risk factors to the disease burden for these neurological conditions.
14 headline population health indicators monitor London's progress in reducing health inequalities over a ten-year period. The dataset, updated by the Greater London Authority in March 2026, tracks inequality gaps across themes like healthy life expectancy, child health, mental illness mortality, and environmental factors. It includes notes on metric changes, such as the replacement of the adult walking/cycling indicator in 2026.
Breastfeeding data from the National Immunization Survey (NIS) used for the DNPAO's Data, Trends, and Maps database. The dataset includes columns for demographic and socioeconomic factors such as Race/Ethnicity, Education, WICParticipation, and MaritalStatus. It is hosted by data.cdc.gov and was last updated on 2026-01-26.
Estimated diabetes mortality and health-related quality of life data for U.S. states. The toolkit reports statistics including the number of deaths, death rates per 100,000 people, years of potential life lost, and quality-adjusted life years for individuals aged 15 and older. Data is compiled from CDC, NHIS, and BRFSS sources.
Aggregated COVID-19 dataset from multiple sources. The dataset likely contains global case, death, and recovery statistics. The author, organization, and specific time range are unknown.
Annual COVID-19 metrics for 21 Ibero-American countries from 2019 to 2024, compiled by Juan Moises de la Serna. The data aggregates statistics from the WHO, PAHO, and Our World in Data, covering confirmed cases, deaths, and vaccination doses. It provides a regional perspective on the pandemic's progression over a six-year period.
A narrative review systematizing scientific evidence on cloth mask use for COVID-19 prevention, authored by Naiá Ortelan. It analyzes scientific articles, technical notes, and governmental decrees to assess the protective measure's effectiveness. The work focuses on the Brazilian context and the global evolution of positions on mask use.
A Power BI-ready dataset concerning measles outbreaks in Bangladesh. The dataset's author, organization, and specific size are unknown. The last update date is also unknown.
Published on Kaggle, this dataset likely contains daily case counts for the Moscow Oblast region of Russia. The specific time range, data source, and collection methodology are not provided in the metadata.
A mapping tool from the Greater London Authority visualizes COVID-19 death rates for small areas of London (MSOA level) as of April 17, 2020. It enables comparison of mortality rates against local population factors, including the Index of Multiple Deprivation, age, ethnicity, pre-existing health conditions, and occupational data. The tool is based on analysis from the Office for National Statistics (ONS) and was last updated on March 25, 2026.
Annual mortality checks for trees above DBH in 1-2.5 hectare plots within mixed conifer forests of Sequoia National Park, California. The data was collected by the National Biological Service and involves trees that have been identified, mapped, and tagged. The temporal coverage is long-term, with annual monitoring.