Gene Yang ‘19 In the mathematical modeling of infectious disease, determining the mobility of infectious diseases as well as the mobility patterns of individuals in a population is crucial to predicting the spatial and temporal diffusion of such illnesses. Researchers from the University of Trento gathered two types of data, mobility data and self-reported health data, to construct and validate a model that predicts the … Continue reading Predicting Flu With Mobility Behaviors