Browse our latest Epidemiology and Global Health articles

Integrating machine learning (ML) models with selected features improved the prediction accuracy of diabetic kidney disease compared to traditional logistic regression models using established features, revealing potential new markers and supporting the use of ML techniques in epidemiological studies.

Collaborative and mutually beneficial patient-provider-researcher relationships are crucial in achieving success in understanding and treating long COVID.

Only a minor reduction in mammography screening participation was observed during the COVID-19 pandemic in Denmark.

Analysis of data from monozygotic twins reveals that DNA methylation level in human blood cells is reactive to cigarette smoking.

An analysis of the largest Salmonella Typhi genome collection to date (n=13,000) provides an updated overview of global genome diversity and antimicrobial resistance trends over time to inform public health action.

Our latest Special Issue brings together research covering many different aspects of the impact of the COVID-19 pandemic on cancer outcomes across the globe.

eLife has published a special issue containing articles that examine how cancer prevention, control, care and survivorship were impacted by the COVID-19 pandemic.

The new early warning system, COEWS, will improve the early identification and management of high-risk COVID-19 patients compared to the widely used NEWS2 by using easy-to-obtain clinical parameters that have been externally validated in a diverse multicontinental cohort of patients.

In late 2021 and early 2022, many clinicians in Federally Qualified Health Centers (FQHCs) reported reduced cervical cancer screening and reported that pandemic-related staffing shortages impacted screening and follow-up.

Complex migration networks can help explain the development of generalized HIV epidemics in sub-Saharan Africa.