Publication date: 07/04/2020 – E&P Code: repo.epiprev.it/929
Authors: S. Pernice (SP)1, P. Castagno (PC)1, L. Marcotulli (LM)1, M. M. Maule (MMM)2, L. Richiardi (LR)2, G. Moirano (GM)2, M. Sereno (MS)1, F. Cordero (FC)1, M. Beccuti (MB)1
Background. The coronavirus disease 19 (COVID-19) is viral infection highly transmittable caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In February 21-st, 2020 the first person-to-person transmission of SARS-CoV-2 was reported in Italy. Afterwards, the number of people infected with COVID-19 increased rapidly, firstly in northern Italian regions, e.g., Piedmont, then it rapidly expands in all Italian territories.
In this context computational models and computer simulations are one of the available research tools that epidemiologists can exploit to better understand the spreading characteristics of thus diseases and to decide the social measures to counter, mitigate or simply delay the spread of the infectious diseases.