Before revision: Background: The outbreak of Coronavirus disease 2019 (COVID-19) emerged in China at the end of 2019 and has spread worldwide within few weeks reaching a pandemic status. China and Italy, followed by other countries, have implemented strict control measures including complete lockdown. The effects of such measures and the optimal strategies to relax them are major Public Health concerns. Method: We introduce a SEIR compartmental model describing the COVID-19 pandemic , taking into account the region-specific fraction of undetected cases, the effects of mobility restrictions fitting Google COVID-19 Community Mobility Report data , and the personal protective measures adopted as frequent hand washing or use of masks.
After revision: OBJECTIVES: to describe the first wave of the COVID-19 pandemic with a focus on undetected cases and to evaluate different post-lockdown scenarios. DESIGN: the study introduces a SEIR compartmental model describing the COVID-19 pandemic , taking into account the region-specific fraction of undetected cases, the effects of mobility restrictions fitting Google COVID-19 Community Mobility Report data , and the personal protective measures adopted as frequent hand washing or use of masks.