Before revision:  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. Results: The model is experimentally validated with data of  Italian regions, European countries and US, obtaining fitting parameters in good agreement with previous literature.
After revision:  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 , such as wearing a mask and washing hands frequently. SETTING AND PARTICIPANTS: the model is experimentally validated with data of Italian regions, European countries and US, obtaining fitting parameters in good agreement with previous literature.