Abstract
In this study we consider a mathematical model of an SIR epidemic model with a saturated incidence rate. We used the optimal vaccination strategies to minimize the susceptible and infected individuals and to maximize the number of recovered individuals. We work in the nonlinear optimal control framework. The existence result was discussed. A characterization of the optimal control via adjoint variables was established. We obtained an optimality system that we sought to solve numerically by a competitive Gauss–Seidel like implicit difference method.
Highlights
The dynamics of the infectious diseases is an important research area in mathematical epidemiology
Most of them are interested in the formulation of the incidence rate, i.e. the infection rate of susceptible individuals through their contacts with infected individuals
We use in the second term in the functional objective, the quadratic term (1/2)τ u2, where τ is a positive weight parameter which is associated with the control u(t) and the square of the control variable reflects the severity of the side effects of the vaccination [13]
Summary
The dynamics of the infectious diseases is an important research area in mathematical epidemiology. The second one is the saturated incidence rate of the form βSI/(1 + α1S), where α1 is a positive constant. The third one is the saturated incidence rate of the form βSI/(1 + α2I), where α2 is a positive constant. In this incidence rate the number of the effective contacts between infected and susceptible individuals may saturate at high infecting levels due to the crowding of the infected individuals or due to the protection measures by the susceptible individuals. The fundamental characteristic of this model is: The modified saturated incidence rate βS(t)I(t)/(1 + α1S(t) + α2I(t)) (see, for example, [8,9,10]), which includes the three forms:.
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