Loading...
Loading...
Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
3,426 datasets
2000-2005 data on Shiga toxin-producing Escherichia coli (STEC) infections reported by clinical laboratories in Connecticut. The Connecticut Department of Public Health analyzed confirmatory testing results, finding 403 total STEC infections, including 207 identified by Shiga toxin enzyme immunoassay (Stx EIA) testing alone. The findings indicate an increase in the use of Stx EIA testing from 2000 to 2005.
2004 outbreak investigation of Salmonella Typhimurium infections associated with ground beef in the United States. The dataset likely contains case information from a multistate investigation involving 31 patient isolates from nine states and the District of Columbia. The investigation was conducted by state health departments, the CDC, and the USDA Food Safety and Inspection Service.
Recommendations from CDC, HRSA, NIH, and the HIV Medicine Association for incorporating HIV prevention into the medical care of HIV-infected persons. The guidelines were developed using an evidence-based approach, with each recommendation rated for strength, quality of evidence, and outcome. They are categorized into three major components: screening for risk behaviors and STDs, providing brief interventions and referrals, and facilitating partner notification.
United States public health data from a 2006 multistate outbreak of Escherichia coli serotype O157:H7 infections associated with fresh spinach consumption. The report describes the joint investigation and outbreak-control measures undertaken by state public health officials, the CDC, and the FDA. The investigation and case finding were ongoing at the time of the report.
Experimental data from Louis Bubrig at Harvard Dataverse examines age-biased parasite transmission in the nematode Caenorhabditis elegans. The study tests the hypothesis that juvenile hosts are relatively protected from the environmentally transmitted microsporidian parasite Nematocida parisii. Findings indicate larger, older individuals acquire more parasites, and dispersing larvae harbor less severe infections than the population mean.
62 peer-reviewed studies form the basis of this systematic review on AI adoption for infectious disease research in Sub-Saharan Africa. The review, authored by Bruno Enagnon Lokonon and last updated in April 2026, analyzes trends from 2019 to 2024, highlighting dominant diseases and persistent gaps in One Health integration.
Bruno Enagnon Lokonon's systematic review synthesizes evidence from 62 peer-reviewed studies on the application of artificial intelligence (AI) for infectious disease research within a One Health framework in Sub-Saharan Africa. The document analyzes trends from 2019 to 2024, focusing on diseases like malaria, HIV, COVID-19, and tuberculosis, and identifies gaps in integrating animal and environmental data. It was last updated on April 22, 2026, and is shared under a CC-BY-4.0 license.
Sub-Saharan Africa is the focus of this systematic review synthesizing evidence from 62 peer-reviewed studies on the application of artificial intelligence (AI) for infectious disease research. The review, authored by Bruno Enagnon Lokonon and last updated in April 2026, analyzes the growth of AI adoption, prevalent diseases studied, and implementation gaps within a One Health framework.
62 peer-reviewed studies were synthesized to assess the application of AI-based modeling techniques for infectious disease research within a One Health framework in Sub-Saharan Africa. The review, authored by Bruno Enagnon Lokonon and last updated in April 2026, finds that AI adoption has grown rapidly since 2019, with malaria, HIV, COVID-19, and tuberculosis being the most frequently targeted diseases.
A 9.5 KB Excel file presents parameter values for a Susceptible–Infected–Treated–Recovered–Susceptible (SITRS) model calibrated with division-level dengue surveillance and temperature data across Bangladesh. The model, authored by Md Mafizer Rahman and uploaded to figshare in May 2026, distinguishes natural recovery from treatment to analyze healthcare disparities and temperature-driven outbreak dynamics.
5.5 KB of model variables and parameters supporting a Susceptible–Infected–Treated–Recovered–Susceptible (SITRS) epidemiological model for dengue fever. Authored by Md Mafizer Rahman and last updated in May 2026, the dataset calibrates the model using division-level dengue surveillance and temperature data across Bangladesh.
Word frequency statistics and graphs from the paper "Gender Differences in Covid-19 Tweeting in English". The dataset is based on English-language tweets matching specific COVID-19 queries collected between March 10 and 23, 2020. It was created by author Mike Thelwall.
A chronological list of 3D printed medical projects initiated before April 1, 2020, addressing supply chain shortages during the COVID-19 pandemic. The data supports a critical review study authored by James I. Novak and published under an Open Access (green) license. The full analysis is provided in the associated paper.
Greater London Authority provides life expectancy statistics for England and Wales. The data covers the period from 2000-2002 to 2008-2010, with figures aggregated over three-year intervals to increase reliability at local authority levels. It includes life expectancy at birth and at age 65, broken down by sex and based on boundaries as of 2010.
Replication materials for a published study on peer effects in influenza vaccination using administrative data from a city in Japan. The repository contains Stata code, aggregated results, and documentation to reproduce the main empirical findings. The original individual-level microdata are not publicly distributed due to confidentiality.
A 15.9 KB DOCX file authored by Nicole Simone De Lima Coelho and last updated on April 30, 2026. This document is a review article discussing the transition from empirical vaccinology to a predictive, systems-based approach. It examines the integration of multi-omics data, artificial intelligence, and addresses challenges related to reproducibility, algorithmic bias, and global equity.
Field data on neonatal Guadalupe fur seals from the San Benito Archipelago during the 2024 breeding season. The dataset includes mortality rates, causes of death, and assessments of threats from entanglement, alopecia syndrome, and marine debris. It was created by Casandra Gálvez and published on figshare in April 2026.
From 1990 to 2021, this dataset contains leukemia burden metrics for adolescents and young adults in China, derived from the Global Burden of Disease 2021 database. It includes age-standardized rates for incidence, prevalence, years of life lost, and years lived with disability, along with a Quality of Care Index. The data was authored by Yi Liu and last updated in May 2026.
Yi Liu's analysis from 2021 shows leukemia prevalence among Chinese adolescents and young adults increased by 145.9% from 1990 to 2021, while mortality declined by 52.4%. The dataset likely contains age-standardized rates for incidence, prevalence, years of life lost, and years lived with disability, derived from the Global Burden of Disease 2021 database. It includes projections for leukemia burden up to 2036 and a Quality of Care Index.
RDS data file containing associations tested for interaction effects between exposure and timepoint of COVID-19 positivity, used to generate a scatter plot. The data was authored by Sivateja Tangirala and sourced from the paperswithcode platform. Exposure labels correspond to UK Biobank Field IDs.