Control of COVID-19 dynamics through a fractional-order model

We investigate, through a fractional mathematical model, the effects of physical distance on SARS-CoV-2 virus transmission. Two controls are considered in our model for eradication spread COVID-19: media education, campaigns explaining importance social distancing, use face masks, etc., towards all population, while second one is quarantine isolation exposed individuals. A general order optimal control problem, and associated optimality conditions Pontryagin type, discussed, with goal to minimize number susceptible infected maximizing recovered. The extremals then numerically obtained.