aceLeveraging AI for infectious disease modelling and public health decision making
Artificial intelligence (AI) is expanding the capacity of public health systems to detect infectious disease signals, forecast outbreaks, analyse pathogen evolution, generate localised risk estimates, and support operational decisions. The thirteenth session of the WHO Pandemic and Epidemic Intelligence Innovation Forum brought together experts from academic, public health, and technology organisations to examine current applications of AI in infectious disease modelling and pandemic preparedness. Examples inclu…
AI is expanding public health systems' capacity to detect disease signals, forecast outbreaks, and support operational decisions.
Sources
- Peer-reviewedBMC Proceedings2026-09-21
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Truvace Impact Record TRV-2026-1177, v4: “Leveraging AI for infectious disease modelling and public health decision making.” Truvace, 2026-11-05. /record/TRV-2026-1177 (accessed on the day you copy it). sha256 159e4759a4d9a4dd…
Change history
Every change made to this record since it was first published, and why.
Voice pass: plainer wording and study attribution; no facts or figures changed.
Editorial pass: sharper headline; filed as context: no real AI gain or problem (gain unsupported, problem absent).
Direction audit: filed as a problem but describes a gain.
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