Foundation models for time series forecasting and policy evaluation in infectious disease epidemics

Epidemic forecasting and public health policy evaluation rely on mathematical models, but traditional approaches struggle in data-limited settings. We evaluated whether transformer-based, foundation Artificial Intelligence models can serve as a new epidemic modeling framework. We tested five models...

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Podrobná bibliografie

Hlavní autoři:	Suprabhath Kalahasti, Benjamin Faucher, Boxuan Wang, Claudio Ascione, Ricardo Carbajal, Maxime Enault, Christophe Vincent Cassis, Titouan Launay, Caroline Guerrisi, Pierre-Yves Boëlle, Federico Baldo, Eugenio Valdano
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-06-01
Edice:	Epidemics
Témata:	Artificial Intelligence Forecasting Epidemic modelling Mathematical Models Public Health Foundation Models
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1755436526000320
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