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From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks

From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks

Lead Author: Stan Heidema

Journal

Journal of Travel Medicine

DOI

https://doi.org/10.1093/jtm/taae013

Abstract

GeoSentinel is advancing to develop and deploy AI-supported outbreak detection methods to further impact clinical medicine, patient care and public health. The early signals generated by outbreak detection methods using GeoSentinel data may influence policymaking, shape public health responses and contribute to global disease control strategies. Timely communication and collaboration among epidemiology, clinical and data science partners, including GeoSentinel sites, affiliate members, ISTM members, CDC, European Centre for Disease Prevention and Control, Public Health Agency of Canada, World Health Organization, ProMED, TropNet, EpiCore and HealthMap is crucial for combating global health threats.