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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,863 datasets
3092 patients with borderline personality disorder (BPD) were compared to 902,927 primary care clinic attendees in a 16-year Hong Kong cohort. The dataset supports analysis of hazard ratios for physical diseases like epilepsy and mortality from natural and external causes. It quantifies excess life-years lost and examines demographic variations in disease associations.
Weekly reports from nursing homes and adult care facilities in New York State detail COVID-19 testing and infection counts for residents and staff. The dataset is maintained by health.data.ny.gov and updated weekly, with records organized by facility and week-ending report date. It tracks metrics such as new diagnoses, census counts, and vaccination status for both population groups.
Google Community Mobility Reports track anonymized population movement across six location categories in Thailand during the COVID-19 pandemic. The dataset was used to forecast mobility trends with models like Facebook Prophet, ARIMA, and Feature Engineered XGBoost, analyzing the relationship between movement and case numbers during lockdown phases.
COVID-19 pandemic guidelines and letters issued by the Yukon Chief Medical Officer of Health. The collection consists of official documents in HTML and PDF formats, last updated in March 2026.
A dataset by Jongmin Lee, last updated on April 20, 2026, modeling the timing of epidemic peaks. It contains results for different vaccination scenarios and immunity levels, indicating the week in which the peak of cases occurs. The dataset is a 5.5 KB Excel file.
A dataset by Jongmin Lee modeling the impact of varying vaccination timing on cumulative disease cases. The data is stored in a 9.5 KB XLS file and was last updated on April 20, 2026. The license is CC-BY-4.0, permitting open reuse with attribution.
A 9.5 KB Excel file containing percentages of health workers reporting training on COVID-19 topics, broken down by location. The dataset was authored by Maryada E. Vallet and last updated on April 20, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
5.5 KB Excel file by Rasha Bayoumi, last updated April 2026, compares the reporting and resolution of 'difficulty in continuously doing things' before and during the COVID-19 outbreak. The dataset is licensed under CC-BY-4.0 and hosted on figshare. Its small size suggests a focused comparison of a specific behavioral or mental health indicator across two time periods.
Rasha Bayoumi's dataset compares the reporting and resolution of sleeping difficulties before and during the COVID-19 outbreak. The data is stored in a 5.5 KB XLS file and was last updated on April 20, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Evidence details the role of academic laboratories in monitoring endemic and emerging viruses across several Latin American countries. The dataset, 18.4 MB in size, was contributed by María José Vásquez-Vidal and published on figshare in March 2026. It documents collaborative networks and methodologies developed during viral outbreaks, including the SARS-CoV-2 pandemic.
14,764.9 per 100,000 adolescents and young adults were estimated to have a mental disorder in 2021, up from 13,824.9 in 1990. This dataset, authored by Huiyuan Pang and shared on figshare, analyzes age-standardized prevalence and disability-adjusted life years (DALYs) for 10 mental disorder categories from the Global Burden of Disease 2021 study. It covers individuals aged 10 to 24 globally and uses joinpoint regression and age-period-cohort models to decompose trends.
Queensland Health provides a line list of COVID-19 cases with notification dates, residential location details, and infection sources. Location data is masked for non-residents, and SA2 geography was not generated for tests prior to June 2021. The dataset includes results from the Public RAT Portal integrated into the Notifiable Conditions System.
5.5 KB of life expectancy data for Japan from 2019 to 2022, disaggregated by total, male, and female populations. The dataset was authored by Yuta Okada and last updated on April 29, 2026. It is provided as an Excel file under a CC-BY-4.0 license.
Weekly reported data on COVID-19 vaccination status for residents and staff in New York State nursing homes and adult care facilities. The dataset is updated weekly and originates from the health.data.ny.gov organization. It includes 19 columns tracking metrics like census counts and vaccination doses for each facility.
A mathematical analysis of an SIS epidemic reaction-diffusion model. The research establishes the existence of an endemic equilibrium and investigates the effects of diffusion and saturation on its asymptotic profiles. The work by Zhang Jialiang of Harbin Normal University suggests spontaneous infection can enhance disease persistence.
2020-2024 analysis profiles adverse events for Pfizer-BioNTech, Moderna, Janssen, bivalent, and Novavax vaccines using VAERS data. The study identifies significant differences in thrombosis, myocarditis, and Guillain-Barré syndrome across vaccine types and reveals age- and sex-specific reporting patterns. It employs Ontology of Adverse Events classification for structured interpretation.
39.9 KB Excel file contains processed adverse event case reports for COVID-19 vaccines from the VAERS system. The data supports an updated analysis of safety trends for Pfizer-BioNTech, Moderna, Janssen, bivalent, and Novavax vaccines through June 2024. It includes stratified analyses by age and sex, and AE classification using the Ontology of Adverse Events.
2020-2024 VAERS data provides an updated analysis of adverse events for Pfizer-BioNTech, Moderna, Janssen, bivalent, and Novavax vaccines. The study includes age- and sex-stratified analyses and uses Ontology of Adverse Events classification to categorize significant events.
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.
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.