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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,871 datasets
Global data on life expectancy across countries for the year 2025. The dataset is published on Kaggle, but its original source, author, and collection methodology are unknown. The specific variables and data points included are not detailed in the available metadata.
Insurance claims data published on Kaggle. The dataset likely contains records of individual claims, which may include details such as policy information, incident descriptions, and financial amounts. Its specific content, size, and origin require verification after download due to minimal metadata.
MM 2021/W28 likely contains data on COVID-19 vaccination coverage in the United Kingdom, segmented by age group and ethnicity. The dataset is published on Kaggle, but its specific source, collection method, and exact time period are not detailed in the provided metadata. Column names and sample data are unavailable, limiting immediate assessment of its structure and content.
A dataset compiling evidence from 10 sources on neuroplasticity indicators during post-COVID rehabilitation using mobile applications. It was authored by Juan Moises de la Serna Tuya and last updated in March 2026.
Provisional counts of drug overdose deaths are reported for 12-month-ending periods by county of residence and month of death occurrence. The data, sourced from the National Vital Statistics System, includes quality metrics like the percentage of deaths pending investigation and historical completeness notes. Counts are updated quarterly and include deaths from all 50 states and the District of Columbia.
This dataset underpins a dynamic spatial framework modeling the co-evolution of infectious disease transmission, economic activity, and mortality. It was applied to COVID-19 data from large U.S. counties in 2020. The author is Jeong, Hanbat.
This dataset underpins a dynamic spatial framework modeling the co-evolution of infectious disease transmission, economic activity, and mortality. It was applied to COVID-19 data from large U.S. counties in 2020. The author is Jeong, Hanbat.
Weekly cumulative COVID-19 vaccination coverage estimates are provided for Medicare Fee-For-Service beneficiaries aged 65 years and older, segmented by race and ethnicity. The data originates from administrative claims managed by the Centers for Medicare & Medicaid Services and tracks coverage following the 2023-24 updated vaccine recommendation. It is published by the U.S. Department of Health and Human Services and the Centers for Disease Control and Prevention.
Centers for Medicare & Medicaid Services data estimates weekly cumulative COVID-19 vaccination coverage among Medicare Fee-For-Service beneficiaries aged 65 years and older. The dataset tracks coverage by race and ethnicity for the 2023-24 updated vaccine period.
A collection of novel weekly mortality data for London spanning the century from 1866 to 1965. It was created by W. Walker Hanlon to analyze the changing relationship between temperature and mortality as the city developed.
Featuring novel weekly mortality data for London spanning 1866–1965, used to analyze the changing relationship between temperature and mortality. It was created by W. Walker Hanlon and shows that warm weeks led to elevated mortality in the late 19th century, primarily from infant digestive diseases, a pattern that diminished after World War I.
COVID-19-Indonesia-Dataset was compiled from open sources including covid19.go.id, kemendagri.go.id, bps.go.id, and bnpb-inacovid19.hub.arcgis.com. It contains time-series data on COVID-19 at the country and province level, with some city or regency-level data, and includes demographic information. The dataset was created to analyze factors for decision-making regarding provincial stringency levels.
Wastewater samples from six sites in England and Wales contain SARS-CoV-2 RNA concentrations and physicochemical measurements from March to July 2020. Publicly collated COVID-19 positive test and related death counts for corresponding local authorities are also included.
Research data on the SARS-unique domain (SUD) of SARS coronavirus, a protein domain absent from other coronaviruses. The dataset, associated with a paper by Jinzhi Tan, focuses on the structural and functional analysis of two macrodomains within SUD that bind G-quadruplexes. The temporal coverage and specific data volume are not provided.
Four CSV files quantify the economic impact of the COVID-19 pandemic on industries and occupations. The data includes calculated supply, demand, and total shock metrics, employment crosswalks, and essential industry scores. Researchers R. Maria del Rio-Chanona, Penny Mealy, Anton Pichler, Francois Lafond, and J. Doyne Farmer compiled this data to analyze the pandemic's labor market effects.
Mariola Espinosa's historical analysis examines yellow fever epidemics in Cuba from 1878 to 1930. The work situates disease control within political, military, and economic contexts, revealing its role in U.S. colonial influence. It argues sanitation programs were not charitable but served to eliminate threats to U.S. expansion.
U.S. preliminary data for 2010 on deaths, death rates, life expectancy, leading causes of death, and infant mortality, broken down by age, sex, race, and Hispanic origin. The report is based on death records comprising more than 98 percent of the demographic and medical files for all U.S. deaths in 2010, weighted to independent control counts. It was authored by Elizabeth Arias of Vital Research and compares results with 2009 final data.
Monthly computer usage data from April 2008 to present, reported as a percentage of total available booking time across Newcastle branch libraries. The dataset includes figures for the Business & IP Centre (BIPC) and notes closures and relocations, such as the Blakelaw branch's temporary move in July 2024 and the pandemic-related closures from March 2020 to April 2021.
A paper proposing strategies for investigating SARS-CoV-2 infection in long-term care facility residents and workers in Brazil. The work addresses the concentration of COVID-19 deaths in such institutions and the need for early identification of virus carriers. It was authored by Edgar Nunes de Moraes and sourced from the paperswithcode platform.
A hypothesis paper authored by Krishna Sriram from the University of California, San Diego proposes a pathobiological model for COVID-19 centered on an imbalance between ACE1 and ACE2 enzymes. The paper suggests therapeutic approaches to restore balance, including repurposing approved drugs like ARBs and ACEIs. The content is sourced from the paperswithcode platform.