Review
Open access
Platforms for artificial intelligence-enabled infectious disease surveillance
Marya Getchell
Michael Barber
Tom Carpino
Carl J E Suster
V. Sintchenko
Nan Liu
Suci Wulandari
Yoong Khean Khoo
Ashley Tsai
Jun-Xiong Pang
D. Hipgrave
S. Kumar
A. W. Maula
Philip AbdelMalik
T. Dallman
P. Pronyk
Abstract
Artificial intelligence (AI)-enabled infectious disease surveillance platforms are expanding rapidly, but their roles within health systems remain poorly characterized. This review examined 20 platforms according to primary data inputs, surveillance function, AI methods, data privacy, geographic scope and pathogen focus. Three archetypes emerged: Early Warning Networks, Situational Awareness Platforms and Integrated Surveillance Platforms. Their comparative analysis highlighted how data type, integration and localization shape platform contributions to public-health decision making.