Open AccessThreshold dynamics and optimal control on an age-structured SIRS epidemic model with vaccination
Author(s) -
Han Ma,
Qimin Zhang
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2021465
Subject(s) - hamilton–jacobi–bellman equation , basic reproduction number , mathematics , viscosity solution , optimal control , epidemic model , stability (learning theory) , vaccination , mathematical optimization , exponential stability , mathematical economics , computer science , physics , medicine , population , environmental health , nonlinear system , quantum mechanics , machine learning , immunology
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.