Optimal control and dynamics of a nonlocal diffusion SVIR epidemic model

The mission of this paper is dealing with an optimal control and dynamics problems for an SVIR epidemic model. First, we define a threshold value $ R_0 $ which determines the dynamical behavior of system (1). When $ R_0<1 $, all solutions of system (1) converge to the disease-free equilibrium point $ (\underline{S}, \underline{V}, 0 , 0) $, while for $ R_0>1 $, all solutions converge to the endemic equilibrium point $ (\overline{S}, \overline{V}, \overline{I}, \overline{R}) $, and it is globally asymptotically stable. Subsequently, we characterize an optimal control problem (3)-(7) with two control strategies (non-constant vaccination convergence rate and medication). The existence and uniqueness of solutions of system (13) are demonstrated via the Banach fixed point theorem. With the method of extracting a minimizing sequence, we get the existence of the optimal pair. Furthermore, by proving the differentiability of the control-to-state mapping, we derive the first-order necessary optimality condition and point out that the optimal is a Bang-Bang control in a special case. Finally, we perform a numerical experiment in MATLAB to illustrate the practical application of the theoretical results obtained in this contribution.

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Publication Details

Journal
Mathematical Control and Related Fields
Published
2024-09-26
DOI
https://doi.org/10.3934/mcrf.2024046
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Optimal control and dynamics of a nonlocal diffusion SVIR epidemic model

Guoqiang Ren, Qian Zhao, Bin Liu
Mathematical Control and Related Fields
Mathematical and Theoretical Epidemiology and Ecology Models
article

Optimal control and dynamics of a nonlocal diffusion SVIR epidemic model

Guoqiang Ren, Qian Zhao, Bin Liu
article en

Abstract

The mission of this paper is dealing with an optimal control and dynamics problems for an SVIR epidemic model. First, we define a threshold value $ R_0 $ which determines the dynamical behavior of system (1). When $ R_0<1 $, all solutions of system (1) converge to the disease-free equilibrium point $ (\underline{S}, \underline{V}, 0 , 0) $, while for $ R_0>1 $, all solutions converge to the endemic equilibrium point $ (\overline{S}, \overline{V}, \overline{I}, \overline{R}) $, and it is globally asymptotically stable. Subsequently, we characterize an optimal control problem (3)-(7) with two control strategies (non-constant vaccination convergence rate and medication). The existence and uniqueness of solutions of system (13) are demonstrated via the Banach fixed point theorem. With the method of extracting a minimizing sequence, we get the existence of the optimal pair. Furthermore, by proving the differentiability of the control-to-state mapping, we derive the first-order necessary optimality condition and point out that the optimal is a Bang-Bang control in a special case. Finally, we perform a numerical experiment in MATLAB to illustrate the practical application of the theoretical results obtained in this contribution.

Mathematical Control and Related FieldsVol. 15(2)
Huazhong University of Science and Technology (CN)
Good health and well-being
Openalex Percentile: Top 75%
Mathematical and Theoretical Epidemiology and Ecology Models
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Optimal control and dynamics of a nonlocal diffusion SVIR epidemic model — Guoqiang Ren, Qian Zhao, et al. · Mathematical Control and Related Fields (2024) | TGRS Research Map | TGRS