Optimizing Disease Outbreak Forecast Ensembles
Spencer J. Fox, Minsu Kim, Lauren Ancel Meyers, Nicholas G Reich, Evan L Ray
Abstract
On the basis of historical influenza and COVID-19 forecasts, we found that more than 3 forecast models are needed to ensure robust ensemble accuracy. Additional models can improve ensemble performance, but with diminishing accuracy returns. This understanding will assist with the design of current and future collaborative infectious disease forecasting efforts.
Topics & Concepts
OutbreakDiseaseVirologyMedicineInternal medicineData-Driven Disease SurveillanceCOVID-19 epidemiological studiesInfluenza Virus Research Studies