3 papers
cs.LG2026
IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
Aniruddha Adiga, Jingyuan Chou, Anshul Chiranth +7
Epidemic forecasting has become an integral part of real-time infectious disease outbreak response. While collaborative ensembles composed of statistical and machine learning model…
stat.AP2024
Chimeric Forecasting: Blending Human Judgment and Computational Methods for Improved, Real-time Forecasts of Influenza Hospitalizations
Thomas McAndrew, Mark Lechmanik, ErinN. Hulland +3
Infectious disease forecasts can reduce mortality and morbidity by supporting evidence-based public health decision making. Most epidemic models train on surveillance and structure…
cs.CY2023
Infectious disease surveillance needs for the United States: lessons from COVID-19
Marc Lipsitch, Mary T. Bassett, John S. Brownstein +27
The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform…