Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach.
Pier Francesco CarusoGiovanni AngelottiMassimiliano GrecoGiorgio GuzzettaDanilo CeredaStefano MerlerMaurizio CecconiPublished in: Int. J. Medical Informatics (2022)