Opportunities for AI in disease surveillance final report

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Authors: Cirilus Ogollah Osongo, Erica Granados, Chidozie Iwu, Ferdinand C. Mukumbang
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Abstract

The START team conducted a non-systematic iterative search to capture innovations from both peer-reviewed and grey literature, as well as computer science and commercial sources often overlooked in public health reviews. AI applications were assessed along high-impact levers, including serosurveillance, wastewater and environmental surveillance, pathogen genomics, mortality surveillance, and modeling

Fields of Study & Subjects

Data-Driven Disease Surveillance Artificial Intelligence in Healthcare and Education Zoonotic diseases and public health

Publication details

Publication date
16 January 2026