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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,894 datasets
Malaysia Immunisation Progress data is reported by JKJAV. The dataset likely contains vaccination statistics for Malaysia during the COVID-19 pandemic. The specific columns, row count, and update frequency are unknown.
Regular updates provide daily COVID 19 case information for Spain. The data includes results from different types of laboratory tests. The original source and specific temporal coverage are not detailed in the provided metadata.
Confirmed COVID-19 cases in the state of New South Wales, Australia, aggregated by location. The dataset was uploaded to Kaggle and is tagged with relevant domains including medicine and law. The specific temporal coverage, author, and update frequency are not provided in the available metadata.
Coronavirus cases and deaths over time, including cumulative counts and rolling averages. The data is sourced from The New York Times and focuses on the United States. The specific time range, update frequency, and collection methodology are not detailed in the provided metadata.
A realtime COVID-19 dataset used by Google for creating COVID-related analysis. The dataset's specific size, features, and temporal coverage are not detailed in the provided metadata. Its origin and collection method are also unspecified.
Leading causes of death in New York City are tracked by sex and ethnicity from 2007 onward, sourced from official death certificates. The dataset is maintained by the Bureau of Vital Statistics and the NYC Department of Health and Mental Hygiene, with a last report run in September 2019.
Global excess deaths associated with COVID-19 provide a modelled estimate of the pandemic's total mortality impact. The World Health Organization likely produced these estimates to account for underreported or indirect deaths. This data is intended for public health analysis and policy evaluation.
European Centre for Disease Prevention and Control (ECDC) provides data on global COVID-19 cases and deaths. The dataset aggregates national reports to track the pandemic's progression. Specific details on record count, temporal coverage, and update frequency are not provided in the input.
Comprehensive COVID-19 Medical Supply & Demand data is hosted on Kaggle. The dataset is described as being designed for predictive modeling, resource optimization, and healthcare analytics. Its specific origin, size, and temporal coverage are not detailed in the provided metadata.
2011 data on obesity trends and public health interventions from the Paperswithcode platform. The dataset likely contains information related to halting the obesity epidemic. The original metadata record is unavailable, indicating the DOI was created in error and never published.
Twitter data is analyzed to predict influenza outbreak events. The dataset originates from the UCI Machine Learning Repository, though the specific volume of tweets and time period covered are not specified. It was created for research into using social media signals for public health monitoring.
COVID-19 surveillance data hosted on the UCI Machine Learning Repository. The dataset's specific temporal coverage, row count, and originating organization are not provided in the input metadata. It is intended for analysis of the COVID-19 pandemic.
New York Times data tracks COVID-19 cases and deaths across the United States. It is compiled from state and local health agency reports. The dataset is maintained by The New York Times.
Daily COVID-19 case data reported by the Orange County Health Care Agency. The dataset provides a time-series of confirmed infections for Orange County, California. The data source is a local public health authority, though the specific temporal coverage is not detailed.
A January 2026 snapshot of the Human Cause-of-Death Data series compiled by the Human Mortality Database consortium. The dataset contains cause-specific mortality information for high-income populations, as described by the project's detailed methods protocol. It is maintained by the Max Planck Institute for Demographic Research, UC Berkeley, and the French Institute for Demographic Studies.
A 2026 repository by Aarti Kumar contains formative data and tools from an implementation research study on scaling immediate Kangaroo Mother Care in Uttar Pradesh, India. The collection includes facility mapping data, data collection tools, and consent forms to assess health system readiness for improving newborn survival.
Over 200 countries are covered in this dataset containing life expectancy metrics. The data is sourced from Kaggle, but the original author, organization, and specific update date are not provided.
Global time-series records of COVID-19 cases updated daily across all reporting countries and territories. The data tracks confirmed infections, fatalities, and recovery counts to provide a current view of the pandemic's trajectory.
Comprising SAS code and data to replicate analyses from a research paper on emerging tobacco use patterns. It examines tobacco use behaviors linked to current nicotine pouch use in the United States. The author is Julia Soulakova, and the data was last updated in February 2026.
25 years of country-level life expectancy records spanning 2000 to 2024, including a predictive category for 2026. The dataset provides global longitudinal health metrics for demographic trend analysis and future health outcome forecasting.