Tag: strategie di controllo

Impacts of Reopening Strategies for COVID-19 Epidemic: A Modeling Study in Piedmont Region

Publication date: 22/05/2020 – E&P Code: repo.epiprev.it/1662
Authors: Simone Pernice (SP)1, Paolo Castagno (PC)1, Linda Marcotulli (LM)1, Milena Maria Maule (MMM)2, Lorenzo Richiardi (LR)2, Giovenale Moirano (GM)2, Matteo Sereno (MS)1, Francesaca Cordero (FC)1, Marco Beccuti (MB)1

Abstract: This report is an updated version of repo.epiprev.it/929.
Background: Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2), the causative agent of the coronavirus disease 19 (COVID-19), is a highly transmittable virus.
Since the first person-to-person transmission of SARS-CoV-2 was reported in Italy on February 21-st, 2020, the number of people infected with SARS-COV-2 increased rapidly, mainly in northern Italian regions, including Piedmont. A strict lockdown was imposed on March 21-st until May 4-th when a gradual relaxation of the restrictions started.
In this context, computational models and computer simulations are one of the available research tools that epidemiologists can exploit to understand the spread of the diseases and to evaluate social measures to counteract, mitigate or delay the spread of the epidemic.

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Undetected Cases of Covid-19 and Effects of Social Distancing Strategies: a Modeling Study in Piedmont Region

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.

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