Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach. - Pier Francesco Caruso; Giovanni Angelotti; Massimiliano Greco; Giorgio Guzzetta; Danilo Cereda; Stefano Merler; Maurizio Cecconi (Int. J. Medical Informatics, 2022)