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Proceedings of the 4th International Conference on Computing Innovation and Applied Physics, CONF-CIAP 2025, 17-23 January 2025, Eskişehir, Turkey

Research Article

Ecological Dynamics and Stability Analysis of Predator-Prey Systems under the SEIR Infectious Disease Model

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  • @INPROCEEDINGS{10.4108/eai.17-1-2025.2355242,
        author={Junmeng  Zhang and Shengtao  Yan and Weiyou  Xu and Xiaoyang  Jiang},
        title={Ecological Dynamics and Stability Analysis of  Predator-Prey Systems under the SEIR Infectious  Disease Model },
        proceedings={Proceedings of the 4th International Conference on Computing Innovation and Applied Physics, CONF-CIAP 2025, 17-23 January 2025, Eskişehir, Turkey},
        publisher={EAI},
        proceedings_a={CONF-CIAP},
        year={2025},
        month={4},
        keywords={seir infectious disease model predator-prey model stability numerical  simulation},
        doi={10.4108/eai.17-1-2025.2355242}
    }
    
  • Junmeng Zhang
    Shengtao Yan
    Weiyou Xu
    Xiaoyang Jiang
    Year: 2025
    Ecological Dynamics and Stability Analysis of Predator-Prey Systems under the SEIR Infectious Disease Model
    CONF-CIAP
    EAI
    DOI: 10.4108/eai.17-1-2025.2355242
Junmeng Zhang1,*, Shengtao Yan1, Weiyou Xu1, Xiaoyang Jiang1
  • 1: Ocean University of China, Qingdao, China
*Contact email: 2249156816@qq.com

Abstract

This paper investigates the stability of the Leslie-Gower predator-prey model under the influence of the SEIR infectious disease model. By incorporating the SEIR infectious disease model, the predator population is divided into four states: susceptible, exposed, infected, and removed. A predator-prey dynamic model is then established. Through dimensionless processing and discretization methods, the equilibrium points of the model and their stability are analyzed. The eigenvalues of the Jacobian matrix are computed to determine the stability of the equilibrium points, and numerical simulations are used to demonstrate the dynamic behavior of the system under different parameter conditions. The results indicate that the predation rate and disease transmission rate have significant effects on the stability of the system. Reducing these two parameters appropriately can stabilize the system.

Keywords
seir infectious disease model predator-prey model stability numerical simulation
Published
2025-04-07
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-1-2025.2355242
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