Optimal control of a Susceptible-Infected-Recovered model with Capasso–Serio incident rate
摘要
Human psychological responses play an important role in the spread of epidemics, and considering the psychological behavior factor as part of the spread of diseases can remarkably improve control efforts. Here, we introduce two optimal control strategies of a Susceptible-Infected-Recovered (SIR) model incorporating a non-linear incident rate describing the psychological effects of the population. The first strategy is without constraint and the other one is with a budget constraint in terms of an integral cost. The optimal strategy consists in minimizes the maximum number of infected individuals, that is by maintaining the infectious agent at a specific value until the corresponding collective immunity threshold is acquired. We supply the study with practical recommendations for policymakers and numerical simulations for further understanding and discussion.