Predicting COVID-19 Spread from Large-Scale Mobility Data
Predicting COVID-19 Spread from Large-Scale Mobility Data
To manage the COVID-19 epidemic effectively, decision-makers in public health need accurate forecasts of case numbers. A potential near real-time predictor of future case numbers is human mobility; however, research on the predictive power of mobility is lacking. To fill this gap, we introduce a novel model for epidemic forecasting …