Epidemiology

Biomedical

A Physics-Informed Neural Network approach for compartmental epidemiological models

Compartmental models provide simple and efficient tools to analyze the relevant transmission processes during an outbreak, to produce short-term forecasts or transmission scenarios, and to assess the impact of vaccination campaigns. However, their calibration is not straightforward, since many factors contribute to the rapid change of the transmission dynamics. For example, there might be ...
6 days ago

Biomedical

Attributable risk from distributed lag models

Background

Measures of attributable risk are critical in epidemiology, particularly for planning and evaluating public health interventions. Current definitions, however, often overlook temporal relationships between exposure and risk. This study proposes extended definitions of attributable risk within the framework of distributed l...
2 weeks ago

Biomedical

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Epidemiology

A Physics-Informed Neural Network approach for compartmental epidemiological models

Attributable risk from distributed lag models

Background

The Uncertain Science of Predicting Death

Tobacco Use in High-Risk Populations

Spatial Epidemiology of Diabetes and Tuberculosis in India

Is the Environment Associated With Preterm Birth?

Wastewater and the Elimination of Bias

Smoking and Melanoma Outcomes—Another Reason to Quit

Using Nonprobabilistic Surveys to Measure COVID-19 Incidence

Integrating data within watershed management and public health

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