Emli Rahmi, Nursanti Anggriani, Hasan S. Panigoro, Olumuyiwa James Peter
The dynamical behaviors of a predator-prey model with fear effect and disease on prey are studied by employing the fractional-order derivative with a power-law kernel as the operator. The proposed model introduces four novel aspects: the impact of fear on a constant recruitment rate, previously unexplored in the literature; reinfection dynamics where infected prey can re-acquire the disease; selective predation by predators on infected prey due to pathogen-induced vulnerability; and the used of Caputo fractional derivative to include the memory effect. A deterministic approach is provided to establish the mathematical model including its validity by showing the existence, uniqueness, non-negativity, and boundedness. Three types of equilibrium points are obtained which represent the extinction of disease and predator, the predator-free, and the co-existence points. The local dynamics are investigated using Matignon’s condition and generalized Routh-Hurwitz criterion for the Caputo fractional-order model. The Volterra, quadratic, and linear functions are utilized to construct the Lyapunov function, as well as the LaSalle invariance principle, to show global dynamics. Some phenomena are provided namely forward and Hopf bifurcations to show the change of the dynamics when a parameter is varied. These results are supported by numerical ways using the predictor-corrector scheme. © 2026 Rahmi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Post Doctoral Program, Department of Mathematics, Universitas Padjadjaran, Kabupaten Sumedang, Jawa Barat, Indonesia; Biomathematics Research Group, Department of Mathematics, Universitas Negeri Gorontalo, Bone Bolango, Indonesia; Department of Mathematics, Universitas Padjadjaran, Kabupaten Sumedang, Jawa Barat, Indonesia; Department of Mathematical and Computer Sciences, University of Medical Sciences, Ondo State, Ondo City, Nigeria; Department of Epidemiology and Biostatistics, School of Public Health, University of Medical Sciences, Ondo State, Ondo City, Nigeria
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