Threshold dynamics and optimal control on an age-structured SIRS epidemic model with vaccination

Han Ma; Qimin Zhang; Han Ma; Qimin Zhang

doi:10.3934/mbe.2021465

Mathematical Biosciences and Engineering

2021, Volume 18, Issue 6: 9474-9495. doi: 10.3934/mbe.2021465

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Research article

Threshold dynamics and optimal control on an age-structured SIRS epidemic model with vaccination

Han Ma ,
Qimin Zhang ^,

School of Mathematics and Statistics, Ningxia University, Yinchuan, 750021, China

Received: 24 September 2021 Accepted: 25 October 2021 Published: 29 October 2021

We consider a vaccination control into a age-structured susceptible-infective-recovered-susceptible (SIRS) model and study the global stability of the endemic equilibrium by the iterative method. The basic reproduction number $ R_0 $ is obtained. It is shown that if $ R_0 < 1 $, then the disease-free equilibrium is globally asymptotically stable, if $ R_0 > 1 $, then the disease-free and endemic equilibrium coexist simultaneously, and the global asymptotic stability of endemic equilibrium is also shown. Additionally, the Hamilton-Jacobi-Bellman (HJB) equation is given by employing the Bellman's principle of optimality. Through proving the existence of viscosity solution for HJB equation, we obtain the optimal vaccination control strategy. Finally, numerical simulations are performed to illustrate the corresponding analytical results.
- SIRS epidemic model,
- age-structure,
- threshold dynamics,
- optional control,
- Hamilton-Jacobi-Bellman (HJB) equation
Citation: Han Ma, Qimin Zhang. Threshold dynamics and optimal control on an age-structured SIRS epidemic model with vaccination[J]. Mathematical Biosciences and Engineering, 2021, 18(6): 9474-9495. doi: 10.3934/mbe.2021465

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Abstract

We consider a vaccination control into a age-structured susceptible-infective-recovered-susceptible (SIRS) model and study the global stability of the endemic equilibrium by the iterative method. The basic reproduction number $ R_0 $ is obtained. It is shown that if $ R_0 < 1 $, then the disease-free equilibrium is globally asymptotically stable, if $ R_0 > 1 $, then the disease-free and endemic equilibrium coexist simultaneously, and the global asymptotic stability of endemic equilibrium is also shown. Additionally, the Hamilton-Jacobi-Bellman (HJB) equation is given by employing the Bellman's principle of optimality. Through proving the existence of viscosity solution for HJB equation, we obtain the optimal vaccination control strategy. Finally, numerical simulations are performed to illustrate the corresponding analytical results.

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