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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,859 datasets
Christian R. Mejia's 2026 study provides psychometric validation data for the PTSD-COVID-19 scale, a brief instrument based on the SPRINT-E. The dataset likely contains results from a confirmatory factor analysis and reliability metrics from a survey of over 6,000 participants across 12 Latin American countries during the early phase of the COVID-19 pandemic. The Cronbach's α for the scale was 0.92, indicating excellent internal consistency.
204 countries and territories are covered in this dataset of curated estimates for the global burden of chronic kidney disease in adults aged 75 years and older from 1990 to 2021. It includes age-standardized rates for prevalence, incidence, mortality, and DALYs, with uncertainty intervals and estimated annual percentage changes. The data were derived from the Global Burden of Disease Study 2021 by author weixuan wang and last updated in April 2026.
Rolling seven-day average rates for COVID-19 cases, deaths, and hospitalizations per 100,000 Chicago residents, broken down by age, race, ethnicity, and gender. The dataset is produced by the Chicago Department of Public Health (CDPH) using data from the Illinois disease surveillance system and the Cook County Medical Examiner. It is marked as historical and was last updated in March 2026.
Reza Taherian's dataset provides life expectancy at birth figures for 1960 and 2023, along with the average annual percent change (AAPC) over that 63-year period. The data is organized by different characteristics. It was last updated on June 3, 2026 and is available as an XLS file.
12,612 coronavirus research publications were analyzed from the Web of Science database up to February 26, 2020. The dataset, created by Mallikarjun Kappi of Kuvempu University, includes metrics such as publication year, type, international collaboration patterns, research institutions, journals, impact factor, h-index, language, and citation counts. The United States was the largest contributor with 4,524 articles, and the total citations for the corpus reached 8,015.
New York State's dataset on COVID-19 testing results, beginning March 1, 2020. It is published by the New York State Department of Health via the Electronic Clinical Laboratory Reporting System (ECLRS) and is updated daily on a three-day reporting lag. The data includes daily positive test counts and case rates per 100,000 population for PCR and antigen tests.
Kyung Won Kim analyzed 159,456 emergency department visits by adult patients with end-stage kidney disease in South Korea from January 2018 to May 2021. The study compares visit frequency, causes, severity, hospitalization, and mortality between pre-pandemic and pandemic periods using data from the National Emergency Department Information System.
266 oropharyngeal swab and environmental samples from 20 live animal and wet markets in Laos were screened for viruses in 2023. The study, authored by Patrick Höller, found a 72% prevalence of avian influenza in live ducks and identified the high pathogenicity H5N1 strain.
Ganzhou, China data contains a retrospective analysis of 27,369 hospitalized pediatric community-acquired pneumonia patients from 2017 to 2024. The study by Guihua Lai investigates the impact of COVID-19 pandemic phases on Mycoplasma pneumoniae infection rates, seasonality, age distribution, and disease severity.
Guihua Lai's research dataset analyzes the impact of COVID-19 on Mycoplasma pneumoniae infections in children with community-acquired pneumonia. It contains aggregated results from 27,369 hospitalized pediatric patients over an eight-year period from 2017 to 2024. The study compares MP positivity rates, seasonality, age distribution, and disease severity across pre-pandemic, non-pharmaceutical intervention, and post-intervention phases.
Ganzhou, China data contains a retrospective analysis of 27,369 hospitalized pediatric community-acquired pneumonia patients from 2017 to 2024, identifying 3,334 Mycoplasma pneumoniae-positive cases. The study by Guihua Lai investigates changes in infection positivity rates, seasonality, age distribution, and severity across pre-pandemic, non-pharmaceutical intervention, and post-intervention phases.
NI Vaccine Management System (VMS) provides an aggregated daily summary of COVID-19 vaccinations for Northern Ireland. The dataset includes counts of living people vaccinated by dose, age band, and Local Government District (LGD) of residence. It is updated weekly and feeds into the UK-wide coronavirus dashboard.
Additional file 4 from a multi-omics study on severe COVID-19. The dataset contains plasma levels of interferons measured using a LEGENDplex assay, authored by Ronaldo Lira-Junior and shared under a CC-BY-4.0 license. The file was last updated on May 30, 2026.
A supplementary table from a multi-omics study of severe COVID-19, authored by Ronaldo Lira-Junior and last updated in May 2026. The 25.6 KB Excel file likely contains correlation data between interferon-stimulated gene (ISG) scores and immune cell proportions.
Additional file 13 from a multi-omics study by Ronaldo Lira-Junior, last updated on 2026-05-30. This supplementary table, shared under a CC-BY-4.0 license on figshare, contains correlation data between metabolic alterations and immune activation markers in severe COVID-19 patients. The dataset is a 26.1 KB XLSX file.
A supplementary dataset from a multi-omics study of severe COVID-19, authored by Ronaldo Lira-Junior and last updated in May 2026. The 35.9 KB XLSX file lists inflammatory mediators that are differentially expressed between patients with mild and severe disease. It is shared under a CC-BY-4.0 license on the figshare platform.
Additional file 2 provides patient-specific Interferon-Stimulated Gene scores derived from a multi-omics analysis of severe COVID-19 cases. The 14.3 KB Excel file, authored by Ronaldo Lira-Junior and last updated in May 2026, summarizes scores for type I, type II, and antiviral ISG categories.
35.7 KB XLSX file contains a table of differentially expressed plasma proteins identified in a multi-omics analysis of severe COVID-19. The dataset was authored by Ronaldo Lira-Junior and last updated on figshare on 2026-05-30. It likely contains protein expression data linked to interferon-stimulated gene (ISG) clusters.
Additional file 6 from a multi-omics study by Ronaldo Lira-Junior, last updated in May 2026, lists metabolites significantly altered in COVID-19 patients grouped by interferon-stimulated gene clusters. The dataset is 674.8 KB in size and is shared under a CC-BY-4.0 license on figshare.
Additional file 12 from a multi-omics study reveals interferon response heterogeneity and links lipid metabolism to immune alterations in severe COVID-19. The 304.5 KB XLSX file, authored by Ronaldo Lira-Junior and last updated in May 2026, contains a list of metabolites that differ significantly between mild and severe cases. It is shared under a CC-BY-4.0 license on figshare.