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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,858 datasets
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.
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.
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.
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 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.
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 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.
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.
A dataset of 439 hospitalized patients with mental disorders and laboratory-confirmed COVID-19 was used to develop machine-learning models for predicting 31-day mortality. Data were collected retrospectively from 10 hospitals in Henan Province, China, and the study was authored by Yi Zhang. The dataset was last updated on 2026-05-26.
Yi Zhang's study presents a machine learning model for predicting 31-day mortality among hospitalized patients with mental disorders and COVID-19. The model was developed and validated using retrospective data from 439 patients across 10 hospitals in Henan Province, China. The dataset was last updated on 2026-05-26.
439 patient records from 10 hospitals in Henan Province, China, used to develop a machine learning model for predicting 31-day mortality. The dataset, shared by Yi Zhang on figshare, includes clinical and laboratory variables for hospitalized patients with mental disorders and confirmed COVID-19. The best-performing neural network model achieved an AUC of 0.911 on an independent test cohort of 131 patients.
Modeling results from a 2026 study project the health impacts and cost-effectiveness of tuberculosis screening strategies in prisons. The dataset contains parameters for estimating Disability-Adjusted Life Years (DALYs) and costs for Brazil, Colombia, and Peru from 2026 to 2035. It was authored by Yiran E. Liu and published on figshare under a CC-BY-4.0 license.
A prospective cohort study of 428,207 UK Biobank participants over a median follow-up of 13.04 years, analyzing the association between the triglyceride-glucose (TyG) index and sepsis incidence and mortality. The dataset, authored by Shuying You and shared under a CC-BY-4.0 license, documents 12,410 sepsis events and 6,291 sepsis-related deaths. It stratifies results by diabetes status, finding a linear association in diabetic individuals but not in non-diabetic participants.
1,406 patients from ten retrospective comparative studies contributed to the primary 30-day mortality analysis. Jamiel Reyes performed an updated systematic review and meta-analysis comparing leukapheresis versus no leukapheresis for hyperleukocytosis in acute myeloid leukemia, published on figshare in May 2026.
From 1990 to 2021, this dataset contains global, regional, and national estimates of colorectal cancer burden attributable to low-fiber diet, including deaths, disability-adjusted life years (DALYs), and age-standardized rates. It was produced by Chao Ma using data from the Global Burden of Disease Study 2021 and published on figshare in 2026. The analysis includes decomposition of demographic drivers and projections of future trends to 2045.
NASA's dataset provides county-level estimates of above-ground woody biomass production and mortality for eastern US temperate forests. It covers 1,956 counties across 28 states, with data derived from USDA Forest Service FIA inventory plots from the 1960s to 1990s. The core files contain annual mean increments for biomass growth, removals, mortality, and forest area.
850 pediatric patients with septic shock from a tertiary hospital in Southwest China, studied between January 2015 and December 2024. The dataset includes clinical characteristics, laboratory parameters, pathogen distribution, and 28-day mortality outcomes, comparing community-acquired and hospital-acquired cases. It was authored by Yanjun Wang and shared under a CC-BY-4.0 license.
District-level estimates of heatwave-induced excess mortality across India. The dataset, authored by Piyush Narang and last updated in May 2026, applies a climate zone-based risk transfer methodology to publicly available data. It estimates approximately 3,400 excess deaths from a single day of extreme heat and nearly 30,000 from a five-day heatwave nationally.
Piyush Narang's dataset provides district-level estimates of heatwave-induced excess mortality across India. It estimates approximately 3,400 excess deaths nationally from a single day of extreme heat and nearly 30,000 from a five-day heatwave. The data was created using a climate zone-based risk transfer methodology and was last updated in May 2026.