Global Dynamics and Optimal Control of a Fractional-Order SIV Epidemic Model with Nonmonotonic Occurrence Rate

Juhui Yan, Wanqin Wu (), Qing Miao () and Xuewen Tan
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Juhui Yan: School of Mathematics and Computer Science, Yunnan Minzu University, Yuehua Street No. 2929, Chenggong District, Kunming 650500, China
Wanqin Wu: School of Mathematics and Computer Science, Yunnan Minzu University, Yuehua Street No. 2929, Chenggong District, Kunming 650500, China
Qing Miao: School of Mathematics and Computer Science, Yunnan Minzu University, Yuehua Street No. 2929, Chenggong District, Kunming 650500, China
Xuewen Tan: School of Mathematics and Computer Science, Yunnan Minzu University, Yuehua Street No. 2929, Chenggong District, Kunming 650500, China

Mathematics, 2024, vol. 12, issue 17, 1-21

Abstract: This paper performs a detailed analysis and explores optimal control strategies for a fractional-order SIV epidemic model, incorporating a nonmonotonic incidence rate. In this paper, the population of vaccinated individuals is included in the disease dynamics model. After proving the non-negative boundedness of the fractional-order SIV model, we focus on analyzing the equilibrium point characteristics of the model, delving into its existence, uniqueness, and stability analysis. In addition, our research includes formulating optimal control strategies specifically aimed at minimizing the number of infections while keeping costs as low as possible. To validate the theoretical findings and uncover the practical efficacy and prospects of control measures in mitigating epidemic spread, numerical simulations are performed.

Keywords: fractional-order SIV model; fractional optimal control; global stability; nonmonotonic occurrence rate (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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