Mathematical modeling and optimal control strategy for the monkeypox epidemic
In this study, we propose a discrete time mathematical model (SEIQR) that describes the dynamics of monkeypox within a human population. The studied population is divided into five compartments: susceptible ($S$), exposed ($E$), infected ($I$), quarantined ($Q$), and recovered ($R$). Also, we propose an optimal strategy to fight against the spread of this epidemic. In this sense we use three controls which represent: 1) the awarness of vulnerable people through the media, civil society and education; 2) the quarantine of infected persons at home or, if required, in h