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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
3,416 datasets
Xinhe Li's meta-analysis aggregates data from 15 cohort studies published between January 2019 and September 2025. It examines the association between adherence to the EAT-Lancet diet and cancer incidence and mortality, reporting pooled hazard ratios. The dataset was last updated on June 1, 2026.
A systematic review and meta-analysis of 15 cohort studies published between 2019 and 2025. It pools adjusted hazard ratios to examine the association between adherence to the EAT-Lancet diet and cancer incidence and mortality. The dataset was created by Xinhe Li and uploaded to figshare in June 2026.
A protocol document for a pilot randomized controlled feasibility study involving 120 adults aged 40–69 with metabolic syndrome. The FitPreV study aims to assess the integration of polygenic risk scores and wearable health devices into primary cardiovascular prevention within the Italian National Health Service. The document was authored by Diego Maria Tona and last updated on 2026-05-29.
120 adults aged 40–69 with metabolic syndrome were enrolled in a four-arm randomized controlled pilot study. The FitPreV study protocol, authored by Diego Maria Tona, assesses the feasibility of integrating polygenic risk scores and wearable health devices into primary cardiovascular prevention within the Italian National Health Service. Data collection occurred at baseline, 1, 6, and 12 months, with results expected to guide larger-scale effectiveness trials.
Publicly released NFL weekly injury reports from the 2018–2020 seasons were analyzed to evaluate the impact of the pandemic-altered schedule. The study by Brooks N. Platt found no significant change in the overall injury rate per 1000 athlete exposures in 2020 compared to pre-COVID-19 seasons. Injuries were categorized by body region and player position, with a significant increase noted only in illness-related listings for the 2020 season.
A 2000-2009 dataset proposing a simplified method to correct vital information and estimate infant mortality coefficients for Brazil, its federal units, and municipalities. The method corrects mortality and live birth data from Brazilian Ministry of Health systems using factors derived from active search for unreported events. Paulo Germano de Frias authored this work, which shows a decreasing trend in both birth and infant mortality rates across all Brazilian regions during the period.
Real-Time Outbreak and Disease Surveillance (RODS) collected free-text emergency department chief complaints from hospitals in Pennsylvania, Utah, Atlantic City, and Ohio. A Bayesian text classifier assigned each complaint to one of eight syndrome categories for time-series analysis and alert generation. The system prospectively detected a cluster of carbon monoxide exposures within 4 hours of the first case presentation.
Clinical guidance for evaluating and treating patients with complications from smallpox vaccination in a pre-outbreak setting. The report includes information on adverse event frequencies identified in 1960s studies, contraindications, and available therapies like vaccinia immune globulin (VIG) and cidofovir. It was authored by Joanne Cono of the Office of Readiness and Response.
A meta-analytic review aggregating data from 148 studies with 308,849 participants to examine the link between social relationships and mortality risk. The dataset includes extracted information on participant characteristics like cause of mortality and initial health status, as well as study characteristics like follow-up length. It was authored by Julianne Holt-Lunstad of Brigham Young University.
2010 period infant mortality statistics from the U.S. linked birth/infant death data set, compiled by T J Mathews of Vital Research. The report includes the U.S. infant mortality rate of 6.14 deaths per 1,000 live births in 2010, a 4% decline from 2009, and analyzes mortality by maternal and infant characteristics such as race, gestation age, and birth plurality.
A Markov cohort model compares the cost-effectiveness of single-dose and two-dose HPV vaccination schedules in a composite low- and middle-income country setting derived from Kenya and India. The model tracks 100,000 girls aged 9 years over a lifetime horizon, estimating costs, disability-adjusted life years averted, and incremental cost-effectiveness ratios. The dataset was created by Jinyao Wang and uploaded to figshare in June 2026.
A Markov cohort model compares single-dose and two-dose HPV vaccination strategies for 100,000 girls aged 9 in a composite low- and middle-income country setting derived from Kenya and India. The model, authored by Jinyao Wang and last updated in June 2026, estimates costs, disability-adjusted life years averted, and incremental cost-effectiveness ratios under various assumptions. Results indicate both vaccination strategies are cost-saving versus no vaccination, with single-dose preventing 64 invasive cancer cases and two-dose preventing 87.
A Markov cohort model analysis compares the cost-effectiveness of single-dose and two-dose HPV vaccination schedules in a composite low- and middle-income country setting derived from Kenya and India. The model tracks 100,000 girls aged 9 years over a lifetime horizon, estimating costs, disability-adjusted life years averted, and incremental cost-effectiveness ratios. The dataset was authored by Jinyao Wang and last updated on June 4, 2026.
German university students' well-being was surveyed at five universities from October 27th to November 14th, 2021. The collaborative COVID-19 German Student Well-being Study (C19 GSWS) was conducted by researchers including Eileen Heumann of Humboldt-Universität zu Berlin. It addresses research questions on living conditions, academic workload, mental health, health behaviors, and COVID-19 vaccination attitudes.
A dataset supporting the evaluation of primary and booster COVID-19 vaccine prioritization strategies by age and high-contact employment status. The analysis uses a mathematical transmission model and contact data from the Berkeley Interpersonal Contact Survey to compare five different roll-out strategies. The research was conducted by Ethan Roubenoff at the University of California, Berkeley.
503 Brazilian workers participated in an online survey assessing mental health during the COVID-19 pandemic. Data includes sociodemographic and occupational details, plus scores from the Depression, Anxiety and Stress Scale - Short Form and the Occupational Mental Health Inventory. The study was conducted by Romilda Guilland and found associations between anxiety/depression symptoms and contact with COVID-19 cases or pandemic-related worry.
A multilingual corpus of news articles regarding Switzerland and COVID-19 was analyzed for lemma and named entity frequencies. The dataset was created by Giovanni Spitale at the University of Zurich using a custom NLP pipeline on articles from Factiva's major global outlets. Articles were published between January and July 2020 and were filtered to be over 300 words and in German, French, Italian, or English.
A cross-sectional study of 430 pregnant women attending antenatal care at Gulu Regional Referral Hospital in Uganda. The data, collected via an electronic questionnaire, measures HBV vaccine uptake and associated factors like age, knowledge, and healthcare worker communication. The dataset was authored by Linda Mercy Akello and last updated in June 2026.
Replication material for a 2020 preprint by researchers from the University of Chicago analyzing global COVID-19 growth rates. The release includes code in R, Stata, and Matlab for reproducing figures, regression analyses, and seasonal simulations. Data and scripts are organized into specific directories for plots, regressions, and SEIR models.
A retrospective cohort of 439 hospitalized patients with mental disorders and laboratory-confirmed COVID-19 was collected from 10 hospitals in Henan Province, China. The data was used to develop and validate machine-learning models for predicting 31-day mortality, with results published by Yi Zhang in 2026. The dataset includes clinical and laboratory variables, with patients split into training (n=308) and test (n=131) cohorts.