A predator-prey fractional model with disease in the prey species

被引：0
作者：
Domínguez-Alemán I. [1 ]
Domínguez-Alemán I. [1 ]
Hernández-Gómez J.C. [1 ]
Ariza-Hernández F.J. [1 ]
机构：
[1] Facultad de Matemáticas, Universidad Autónoma de Guerrero
来源：
Mathematical Biosciences and Engineering | 2024年 / 21卷 / 03期
关键词：
eco-epidemiological model; fractional order epidemiological model; prey-predator model; susceptible-infected model;
D O I：
10.3934/mbe.2024164
中图分类号：
学科分类号：
摘要：
In this paper, we study a generalized eco-epidemiological model of fractional order for the predator-prey type in the presence of an infectious disease in the prey. The proposed model considers that the disease infects the prey, causing them to be divided into two classes, susceptible prey and infected prey, with different density-dependent predation rates between the two classes. We propose logistic growth in both the prey and predator populations, and we also propose that the predators have alternative food sources (i.e., they do not feed exclusively on these prey). The model is evaluated from the perspective of the global and local generalized derivatives by using the generalized Caputo derivative and the generalized conformable derivative. The existence, uniqueness, non-negativity, and boundedness of the solutions of fractional order systems are demonstrated for the classical Caputo derivative. In addition, we study the stability of the equilibrium points of the model and the asymptotic behavior of its solution by using the Routh-Hurwitz stability criteria and the Matignon condition. Numerical simulations of the system are presented for both approaches (the classical Caputo derivative and the conformable Khalil derivative), and the results are compared with those obtained from the model with integro-differential equations. Finally, it is shown numerically that the introduction of a predator population in a susceptible-infectious system can help to control the spread of an infectious disease in the susceptible and infected prey population. © 2024 the Author(s).
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页码：3713 / 3741
页数：28
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