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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
2,859 datasets
9,318 participants from a community-based prospective cohort study in Pudong New Area, Shanghai, China. The data examines associations between systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) with all-cause, cardiovascular, cancer, and respiratory mortality using Cox and Fine-Gray models. The study found significant dose-response relationships and that adding SIRI or SII to conventional risk models improved predictive performance.
UNHCR conducted three rounds of remote protection monitoring surveys in 2020, interviewing a total of 4,665 refugee and asylum-seeker households across all governorates of Iraq. The exercise was initiated in August 2020 to assess how COVID-19 and related measures affected protection concerns, access to rights, services, and coping mechanisms over time. Data is available for Round 1 (1,653 households), Round 2 (1,605 households), and Round 3 (1,407 households).
Figshare hosts a perspective article by Qingqing Ji, updated in March 2026, examining AI-based perinatal risk prediction. The 17.9 KB DOCX file synthesizes evidence on obstetric AI, prenatal screening impacts, and principles for trustworthy digital health. It argues risk labeling can increase anxiety and outlines discrimination pathways from biased data.
A perspective article examining the benefits and risks of AI-based obstetric risk prediction over the past five years. The author, Qingqing Ji, integrates evidence on AI prediction, prenatal screening, and principles of trustworthy digital health. The document is a 18.0 KB DOCX file.
A 2026 perspective article by Qingqing Ji synthesizes evidence on AI-based obstetric risk prediction, prenatal screening impacts, and digital health governance principles. The 18.2 KB document examines how risk labeling can increase anxiety and discrimination, proposing integrated safeguards for future deployments.
Qingqing Ji authored a perspective article examining AI-based obstetric risk prediction, published on figshare in March 2026. The 18.4 KB document synthesizes evidence on AI tools, prenatal screening impacts, and principles of trustworthy digital health. It analyzes how risk labeling may increase anxiety and discrimination, proposing integrated safeguards for future deployments.
A perspective article by Qingqing Ji, published in March 2026, examines the ethical implications of AI for perinatal risk prediction. The document integrates evidence on AI-based obstetric tools, prenatal screening impacts, and principles for trustworthy digital health. It is a 18.3 KB DOCX file under a CC BY 4.0 license.
Vaccination coverage data for the DTaP, IPV, and Hib vaccines among two-year-old children. The dataset is provided by the Government Digital Service under the OGL-UK-3.0 license and is available in CSV format. The specific geographic scope, time range, and data volume are not detailed in the provided metadata.
Infant mortality rate data for children under one year old, measured per 1,000 live births. The dataset is provided by the Government Digital Service under the OGL-UK-3.0 license and is available in CSV format.
Under 75 mortality rate from cancer (per 100,000 population). The dataset is provided by the Government Digital Service and is available in CSV format under an OGL-UK-3.0 license.
Government Digital Service provides a dataset on the under 75 mortality rate from all cardiovascular diseases, standardized per 100,000 population. The data is sourced from the eu_open_data platform and is available under the OGL-UK-3.0 license. The specific temporal and geographic coverage is not detailed in the provided metadata.
Under 75 mortality rate from cancer (per 100,000 population) for the male population. The dataset is provided by the Government Digital Service under an OGL-UK-3.0 license. Its last update date and specific temporal or geographic coverage are not detailed in the available metadata.
Government Digital Service provides a dataset on the under-75 mortality rate from respiratory disease for males, standardized per 100,000 population. The data is sourced from the eu_open_data platform and is available under the OGL-UK-3.0 license. Specific details on temporal coverage, geographic scope, and data volume are not provided in the available metadata.
Mortality from communicable diseases (per 100,000 population) is provided by the Government Digital Service under an OGL-UK-3.0 license. The dataset is available in CSV format via the eu_open_data platform. Specific details on temporal coverage, geography, and data volume are not provided in the available metadata.
A review paper discussing the feasibility of using volatile molecules as a pharmacological strategy against COVID-19. The paper, authored by Cristiano Colalto and published by the British Pharmacological Society, reviews known aerosolized antiviral drugs and volatile molecules. It provides a complete evaluation of volatile molecules for potential clinical use.
Kailiang Xu from Jingzhou Central Hospital authored a review detailing evidence on the etiology, epidemiology, clinical symptoms, and strategies for diagnosis, treatment, and prevention of COVID-19. The review cites global case counts up to April 13, 2020, including 83,696 confirmed cases in China and 1,837,079 cases in 209 other countries. It was published as an Open Access paper on the paperswithcode platform.
A paper describing contingency protocols for managing COVID-19 suspected or infected pregnant mothers at Singapore General Hospital. The work compares SARS-CoV-2 to the 2003 SARS outbreak and details multidisciplinary workflows for triage, isolation, and intrapartum management. It was authored by Shau Khng Lim and focuses on operational readiness and infection prevention.
Doubling Time analysis tracks the time required for COVID-19 cases to double, a metric used to assess the impact of government interventions. Biljana Stangeland's report describes a method for real-time epidemic monitoring, focusing on the period following shutdowns announced around March 12, 2020, in Nordic countries. The initial results following the shutdowns demonstrated a trend towards slower growth, though the report cautions against premature optimism.
A review paper collating evidence for tetrandrine's mechanism of action against SARS-CoV-2. The paper argues for repurposing this traditional Chinese medicine compound based on its pharmacodynamics and pharmacokinetics. It was authored by Paula Maria Heister of Addenbrooke's Hospital and published on Papers with Code.
A research paper proposing lactoferrin in breast milk and infant formula as a factor for lower COVID-19 incidence and severity in children. The paper cites specific pediatric case counts from China, including 230 pediatric cases reported through February 6, 2020. It was authored by Raymond Chang and is available via Open Access.