2 papers
cs.AI2026
Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search
Sarah Martinson, Michael P. Brenner, Martyna Plomecka +3
Probabilistic forecasting of infectious diseases is crucial for public health but relies on labor-intensive manual model curation by expert modeling teams. This bespoke development…
stat.AP2023
Evaluating infectious disease forecasts with allocation scoring rules
Aaron Gerding, Nicholas G. Reich, Benjamin Rogers +1
Recent years have seen increasing efforts to forecast infectious disease burdens, with a primary goal being to help public health workers make informed policy decisions. However, t…