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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...

Täydet tiedot

Tallennettuna:
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Elsevier 2026-06-01
Sarja:Epidemics
Aiheet:
Artificial Intelligence
Forecasting
Epidemic modelling
Mathematical Models
Public Health
Foundation Models
Linkit:http://www.sciencedirect.com/science/article/pii/S1755436526000320
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