no code implementations • 30 Sep 2021 • Sena Mursel, Nathaniel Alter, Lindsay Slavit, Anna Smith, Paolo Bocchini, Javier Buceta
Our methodology is able (1) to identify the features that are best predictors of an individual's tendency to partake in behaviors that can expose them to Ebola infection, (2) to develop a predictive model about the spillover risk statistics that can be calibrated for different regions and future times, and (3) to compute a spillover exposure map for Sierra Leone.