Using a Bayesian convolution model, we investigate the impact of government policies regarding social distancing measures in AQ1 Italy on the transmission of the COVID-19 epidemic. Our methodology entails reconstructing case numbers using observed death rates in all Italian regions. Additionally, we analyze mobility data in conjunction with government-imposed closures. Our objective is to discern the efficacy of these interventions in curtailing the spread of the virus, while also delving into the incurred costs of implementing such measures.
The efficacy of social distancing measures in controlling the spread of SARS-CoV-2: a retrospective study in Italy
Ilia Negri
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2024-01-01
Abstract
Using a Bayesian convolution model, we investigate the impact of government policies regarding social distancing measures in AQ1 Italy on the transmission of the COVID-19 epidemic. Our methodology entails reconstructing case numbers using observed death rates in all Italian regions. Additionally, we analyze mobility data in conjunction with government-imposed closures. Our objective is to discern the efficacy of these interventions in curtailing the spread of the virus, while also delving into the incurred costs of implementing such measures.File in questo prodotto:
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