Applications

Mobility-based prediction of SARS-CoV-2 spreading

This paper analyzes the effectiveness of containment measures for SARS-CoV-2, using mobility data to gauge their impact. A deep learning model predicts virus spread scenarios in Italy, showing how these measures help flatten the infection curve and estimating the time required for their noticeable effects.

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Duccio Fanelli