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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,863 datasets
Supplementary file 3 provides an updated analysis of adverse event (AE) profiles for COVID-19 vaccines using VAERS case reports through June 2024. The study profiles AEs for Pfizer-BioNTech, Moderna, Janssen, bivalent, and Novavax vaccines, analyzing patterns by vaccine type, age, and sex. It employs Ontology of Adverse Events classification and statistical methods like Chi-square tests and proportional reporting ratios.
Anna He's supplementary analysis provides an updated profiling of adverse events associated with Pfizer-BioNTech, Moderna, Janssen, bivalent, and Novavax COVID-19 vaccines using VAERS data through June 2024. The study employs statistical tests and Ontology of Adverse Events classification to characterize AE patterns, including age- and sex-stratified analyses.
Bladder cancer burden metrics for the African Union and 54 countries from 2010 to 2023, with projections to 2030. The dataset includes counts and age-standardized rates for incidence, prevalence, deaths, and disability-adjusted life-years (DALYs), derived from the Global Burden of Disease Study 2023. It was authored by Cui Yan and analyzes temporal trends, demographic drivers, and COVID-19-period deviations.
CDC data.cdc.gov provides monthly cumulative estimates of persons receiving one or more COVID-19 vaccine doses, comparing the 2025-26 season to previous seasons. The dataset is derived from aggregate Immunization Information Systems (IIS) data submitted by U.S. states, localities, and territories. National estimates are not presented as not all jurisdictions report their IIS data to the CDC.
Zhiyu Chen published a dataset on figshare in 2026 containing historical and environmental data on cholera epidemics in Hubei Province, China. The data supports analysis of spatiotemporal patterns and formation mechanisms over a 71-year period. It includes results from Mann-Kendall tests, wavelet analysis, hotspot analysis, and structural equation modeling.
Historical and environmental data on cholera epidemics in Hubei Province, China, from 1949 to 2020. The dataset was created by Zhiyu Chen and uploaded to figshare in March 2026. It likely contains records used to analyze spatial and temporal distribution patterns and contributing factors.
A dashboard tracking coronavirus COVID-19 cases and trends, created by the Johns Hopkins Center for Systems Science and Engineering. It covers China, the US, Canada, Australia, and the rest of the world, with data sourced from WHO, US CDC, China NHC, ECDC, and DXY. The China data updates automatically at least hourly, while non-China data is updated manually.
Monthly cumulative data tracks infants under eight months receiving at least one RSV monoclonal antibody dose across U.S. jurisdictions. Estimates derive from aggregate Immunization Information Systems (IIS) data submitted to the CDC, with reporting beginning April 1 of each season. National estimates are excluded as participation from all jurisdictions is not yet complete.
Weekly vaccination counts for COVID-19 and influenza are reported by New York providers starting with the 2024-2025 respiratory season. The dataset is maintained by health.data.ny.gov and was last updated in April 2026.
Weekly counts of COVID-19 fatalities for nursing home and adult care facility residents in New York State, reported by health.data.ny.gov. The data distinguishes between lab-confirmed and presumed cases, as well as fatalities occurring inside or outside the facility. The dataset was last updated on 2026-04-01.
A tagging programme applied data storage tags and double T-bar tags to edible crabs (*Cancer pagurus*) in the English Channel and Celtic Sea. The project aimed to quantify crab movements, growth, mortality, and behavior. The dataset was aggregated by the Government Digital Service from the eu_open_data platform.
Xiaoling Wang's dataset contains clinical and immunological data from a cohort of 116 pediatric patients who underwent hematopoietic stem cell transplantation (HSCT). It examines the combined impact of acute graft-versus-host disease (aGVHD) and cytomegalovirus (CMV) infection on survival, with a focus on the role of CD4−CD8−T cell reconstitution as a potential prognostic biomarker. The analysis includes Kaplan-Meier survival curves, logistic regression, and Cox proportional hazards models.
This dataset comprises a PDF research article detailing the development of a multi-epitope vaccine candidate against Leptospirosis using comparative pan-genomic analysis and reverse vaccinology. The study, authored by Mohd Abdullah, identifies conserved vaccine candidates and designs a construct incorporating B- and T-cell epitopes fused to a TLR4 agonist. The file is 1.3 MB in size and was last updated in March 2026.
Aggregating results from a study employing comparative pan-genomic analysis and reverse vaccinology to design a multi-epitope vaccine (MEV) against Leptospira. The research includes in silico analyses, experimental validation with hyperimmune and clinical sera, and mouse immunization results. The dataset is provided as an XLSX file with an unknown number of rows and columns.
2017 data from the Alberta Health Primary Health Care - Community Profiles report published March 2019. This dataset provides childhood immunization coverage rates by age two for local geographic areas and Alberta as a whole.
2023 immunization coverage rates for children by age two across local geographic areas and Alberta. This data is from the Alberta Health Primary Health Care - Community Profiles report published in August 2022. The table provides the most recent calendar year of data available.
Ontario's weekly effective reproduction number (Re) estimates for COVID-19, including confidence intervals, are provided by the Government of Ontario. The data tracks the average number of secondary infections per case across different regions. It was last updated in March 2026.
Ontario's COVID-19 Response Framework, introduced in November 2020, categorized public health unit regions into five color-coded zones with varying restrictions. The dataset includes the Public Health Unit name, its website, and its assigned COVID-19 zone. The Government of Ontario published this data, which is no longer updated and is best suited for historical research.
Ontario's COVID Alert mobile application data tracks its public adoption and usage. Metrics include approximate total app downloads and the total number of Ontarians who used the app to alert others of potential exposure. The dataset is provided by the Government of Ontario and was last updated in March 2026.
5.5 KB of daily COVID-19 case data from Singapore, used to evaluate an outbreak detection framework. The dataset supports analysis of calendar effects like public holidays on case reporting and effective reproduction number (Rt) estimates. It was created by Lengyang Wang in a 2026 study comparing smoothing methods for reliable outbreak detection.