Optimal control analysis in a reaction-diffusion SIRC model with cross-immune class

In this paper, we propose a reaction-diffusion SIRC model with cross-immunization. The model includes the implementation of vaccination measures for susceptible, and treatment and quarantine measures for infected in order to control the spread of the disease. The optimal control strategies for the spread of disease are mainly investigated. Our research focuses on four main aspects. Firstly, we prove the existence and uniqueness of the global positive strong solution to the control system by employing the theories of semigroups of operators. Secondly, we demonstrate the existence of optimal control through the utilization of functional analysis techniques. Thirdly, we establish the first-order necessary optimality conditions that the optimal control must satisfy, employing the methods of convex perturbation. Lastly, we provide numerical examples and simulations to verify the feasibility of optimal control.

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Publication Details

Journal
Advances in Continuous and Discrete Models
Published
2024-11-21
DOI
https://doi.org/10.1186/s13662-024-03850-3
Citations
1
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.54

Funders

Controls
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article

Optimal control analysis in a reaction-diffusion SIRC model with cross-immune class

Yanling Zheng, Kai Wang, Pan Zhou, Jianpeng Wang et al.
1 citations
Advances in Continuous and Discrete Models
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
article

Optimal control analysis in a reaction-diffusion SIRC model with cross-immune class

Yanling Zheng, Kai Wang, Pan Zhou, Jianpeng Wang, Zhidong Teng
article en
1 citations

Abstract

In this paper, we propose a reaction-diffusion SIRC model with cross-immunization. The model includes the implementation of vaccination measures for susceptible, and treatment and quarantine measures for infected in order to control the spread of the disease. The optimal control strategies for the spread of disease are mainly investigated. Our research focuses on four main aspects. Firstly, we prove the existence and uniqueness of the global positive strong solution to the control system by employing the theories of semigroups of operators. Secondly, we demonstrate the existence of optimal control through the utilization of functional analysis techniques. Thirdly, we establish the first-order necessary optimality conditions that the optimal control must satisfy, employing the methods of convex perturbation. Lastly, we provide numerical examples and simulations to verify the feasibility of optimal control.

Advances in Continuous and Discrete ModelsVol. 2024(1)
Xinjiang Medical University (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 27%
Mathematical and Theoretical Epidemiology and Ecology Models
0.54
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Optimal control analysis in a reaction-diffusion SIRC model with cross-immune class — Yanling Zheng, Kai Wang, et al. · Advances in Continuous and Discrete Models (2024) | TGRS Research Map | TGRS