Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models
Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models
Compartmental models are widely adopted to describe and predict the spreading of infectious diseases. The unknown parameters of these models need to be estimated from the data. Furthermore, when some of the model variables are not empirically accessible, as in the case of asymptomatic carriers of coronavirus disease 2019 (COVID-19), …