Before revision:  The mean absolute percentage error analysis for forecasting accuracy judgement showed that our model was highly accurate in 12 regions (46\%), good in 7 (27\%) and reasonable in 7 (27\%). The estimation of the undetected cases allows to evaluate different post-lockdown scenarios which is crucial for public-health decision makers. Conclusions: The proposed model , calibrated and designed on measured or literature-based parameters, was successfully applied in all scenariosanalyzed and the estimation of the dynamic of the whole number of infectious individuals could help the planning of different strategies aimed at relaxing the lockdown measures .
After revision:  RESULTS: the epidemic curves for different countries and the dynamic of the whole number of infectious individuals could help the planning of different strategies aimed at relaxing the lockdown measures .