Opportunities for AI in disease surveillance final report
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