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Research Article | Open Access

Dynamical analysis of an SIR epidemic model with game-theoretic vaccination behavior

Fengjun Li1( )Tao Zhang2Qimin Zhang2
School of Mathematics and Information Science, North Minzu University, Yinchuan, Ningxia 750021, China
School of Mathematics and Statistics, Ningxia University, Yinchuan, Ningxia 750021, China
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Abstract

In this paper, a susceptible–infectious–recovered infectious disease model with the game inoculation process is established. First, the basic regeneration number R 0 of the model is obtained, and the positive and bounded connections of the system are proved. second, the stability of each equilibrium point is discussed by analyzing the characteristic equations of the system. Next, by taking ω as the parameter, the conditions for the occurrence of Hopf bifurcation are obtained. Furthermore, we use the method of parameter estimation to analyze the influence of each parameter on this system. Finally, through a numerical simulation, we verify all previous conclusions. Of course, symmetry provides a tractable framework for analyzing vaccination games but may overlook heterogeneity-driven phenomena.

CLC number: 37N25

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AIMS Mathematics
Pages 684-716

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Cite this article:
Li F, Zhang T, Zhang Q. Dynamical analysis of an SIR epidemic model with game-theoretic vaccination behavior. AIMS Mathematics, 2026, 11(1): 684-716. https://doi.org/10.3934/math.2026030

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Received: 03 October 2025
Revised: 12 December 2025
Accepted: 16 December 2025
Published: 09 January 2026
©2026 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)