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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,859 datasets
Analysis of breast cancer mortality trends among Chinese residents from 2013 to 2021, showing a stabilized national rate but significant regional disparities. The study quantifies premature death burden using Potential Years of Life Lost (PYLL), Average Years of Life Lost (AYLL), and Value of Years of Life Lost (VYLL). Data were compiled by Fulei Han from the Chinese Cause of Death Monitoring Dataset and published in 2026.
28 studies comprising 18,062 patients were included in this meta-analysis. The work, published on figshare in 2026, reassesses the association between obesity and the severity and mortality of acute pancreatitis. It represents the largest synthesis to date on this topic, though it could not meta-analytically identify independent pathophysiological drivers.
Tapajos National Forest in Para, Brazil, is the location for this dataset measuring soil-atmosphere trace gas fluxes. It reports methane, nitrous oxide, nitric oxide, and carbon dioxide fluxes alongside root mass, soil nitrogen, nitrification, and moisture data. The research was designed to test the effects of induced root mortality on gas fluxes over a one-year period.
A study analyzing how affect-inducing cues in risk messages influence collective negative emotions during public health emergencies. The data is derived from content and sentiment analysis of discussions about the COVID-19 variant 'Xbb' on the Chinese Q&A platform Zhihu. The dataset was authored by Tongtong Li and last updated on 2026-05-28.
A study of 867 coke oven workers measured 33 urinary and blood chemical pollutants, mitochondrial DNA copy number, and leukocyte telomere length at baseline and follow-up. The research, authored by Min Mu and published on figshare in 2026, evaluated combined effects using weighted quantum sum regression and Bayesian kernel machine regression. It identified urinary 1-hydroxypyrene, molybdenum, selenium, and barium as major contributors to associations with aging biomarkers.
Ronny Westerman's dataset provides standardized death rates for despair-related mortality across 27 European countries and the United States from 2011 to 2021. It uses official cause-of-death statistics and a harmonized classification to compare trends before and during the COVID-19 pandemic. The data was last updated on 2026-05-21.
1999 to 2023 mortality data for acute myocardial infarction among U.S. adults aged 45 and older, analyzing 3,255,707 deaths. The dataset, authored by Jiayin Zhu and shared under a CC-BY-4.0 license, includes age-adjusted mortality rates and joinpoint regression analysis to identify trends and disparities by sex, race, and urban-rural classification.
A 2026 study by Taotao Yang provides definitive experimental evidence revising the age-dependent epidemiology of Clostridium perfringens type A infections in swine. The research demonstrates CPA strain SP20 and its purified α-toxin can cause rapid, dose-dependent mortality and hemorrhage in nursery and fattening pigs, fulfilling Koch's postulates. Findings have implications for differential diagnosis, vaccine design, and outbreak management.
Abdul-Karim Iddrisu provides a dataset supporting spatial epidemiology research on diabetes in Ghana. It contains national diabetes case data from the District Health Information Management System (DHIMS) for the years 2018 to 2022. The data underpins analyses of regional hotspots, socioeconomic predictors, and relative risk.
6,175,114 adult records from ICES data in Ontario link COVID-19 PCR test status to mental health service use for anxiety and depression between January 2020 and March 2021. The study, authored by Kiran Saqib, found individuals who underwent testing had significantly higher mental health-related healthcare utilization than untested individuals, with adjusted hazard ratios of 6.37 for PCR-positive and 5.91 for PCR-negative groups. This dataset supports the analysis of healthcare-seeking behavior and pandemic-related mental health impacts.
A 471.5 KB ZIP file contains Matlab code implementing a novel SEIR epidemiological model. The model incorporates changes in population behavior influenced by reported case, death, and vaccination data to detect vaccine hesitancy. Author David J. Warne published it on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-26.
Thirteen recent national digital health strategy documents from African countries were analyzed via computational text analysis. The dataset, created by Kimsey Zajac and last updated in May 2026, contains results from assessing the frequency and context of references to vulnerable populations. The study found most strategies focus on systemic goals while mentions of women, children, and the elderly are often indirect or rare.
African national digital health strategies were analyzed via computational text analysis. The dataset contains results from analyzing 13 recent strategy documents from African countries. It was authored by Kimsey Zajac and last updated on 2026-05-19.
A computational text analysis of 13 recent national digital health strategy documents from African countries. The dataset, created by Kimsey Zajac and last updated in May 2026, identifies major topical priorities and assesses references to vulnerable populations like women, children, and the elderly.
13 recent national digital health strategy documents from African countries were analyzed via computational text analysis. The study by Kimsey Zajac, last updated in May 2026, investigates how these strategies consider vulnerable populations at risk of digital exclusion. The dataset likely contains the results of this analysis, such as topic frequencies or coded references.
A 5.5 KB Excel file containing dictionary terms extracted from a computational text analysis of 13 recent national digital health strategy documents from African countries. The dataset was created by Kimsey Zajac and last updated on May 19, 2026. The analysis investigated how these strategies consider vulnerable populations at risk of digital exclusion.
Twenty-five water samples collected from hospital areas, residential areas, and rivers in Northeast India provide evidence of public health risks. The dataset likely contains geochemical, microbial, and exposome analyses, including concentrations of lead, selenium, total dissolved solids, turbidity, metagenomic taxa abundances, and detected compounds. Gayatri Gogoi published this dataset on figshare in 2026.
Twenty-five water samples from Northeast India reveal elevated lead (0.9 mg/L) and selenium (0.45 mg/L) in residential areas, alongside 147 antibiotic resistance genes. The dataset includes geochemical, microbial, and exposome profiles from hospital, residential, and river sites, compiled by Gayatri Gogoi and published in 2026. Metagenomic sequencing identified dominant taxa like Limnohabitans (12.4%) in rivers, and LC-ESI-QTOF-MS detected 490 compounds including 30 carcinogens.
Twenty-five water samples from Northeast India provide geochemical, microbial, and exposome data for One Health analysis. The dataset includes measurements of lead, selenium, total dissolved solids, turbidity, microbial taxa abundances, and 490 detected compounds. Gayatri Gogoi published this research dataset on figshare in May 2026.
Twenty-five water samples from Northeast India reveal elevated lead (0.9 mg/L) and selenium (0.45 mg/L) in residential areas, alongside 147 antibiotic resistance genes. The dataset includes geochemical, microbial, and exposome profiles from hospital, residential, and river sites, compiled by Gayatri Gogoi and published in 2026. Metagenomic sequencing identified dominant taxa like Limnohabitans (12.4%) in rivers, and LC-ESI-QTOF-MS detected 490 compounds including 30 carcinogens.