A mathematical analysis of an eco-epidemiological model with prey-feedback effect and prey-refuge

This study investigates an eco-epidemiological model incorporating feedback mechanisms and prey refuge, formulated as a system of nonlinear ordinary differential equations. The model describes interactions among susceptible prey, infected prey, and predators, including disease transmisión and nonlinear predation effects. We establish the existence, uniqueness, and positivity of solutions, and analyze their boundedness within a biologically feasible region. Local stability of equilibria is studied via linearization, while global stability is proven using Lyapunov functions. Numerical simulations complement the analytical results, demonstrating how key parameters affect the system’s long-term dynamics.

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Publication Details

Journal
Selecciones Matemáticas
Published
2025-07-26
DOI
https://doi.org/10.17268/sel.mat.2025.01.06
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
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article
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article

A mathematical analysis of an eco-epidemiological model with prey-feedback effect and prey-refuge

Roxana López-Cruz, Neisser Pino Romero
Selecciones Matemáticas
Mathematical and Theoretical Epidemiology and Ecology Models
article

A mathematical analysis of an eco-epidemiological model with prey-feedback effect and prey-refuge

Roxana López-Cruz, Neisser Pino Romero
article en

Abstract

This study investigates an eco-epidemiological model incorporating feedback mechanisms and prey refuge, formulated as a system of nonlinear ordinary differential equations. The model describes interactions among susceptible prey, infected prey, and predators, including disease transmisión and nonlinear predation effects. We establish the existence, uniqueness, and positivity of solutions, and analyze their boundedness within a biologically feasible region. Local stability of equilibria is studied via linearization, while global stability is proven using Lyapunov functions. Numerical simulations complement the analytical results, demonstrating how key parameters affect the system’s long-term dynamics.

Selecciones MatemáticasVol. 12(01)
National University of San Marcos (PE)
Openalex Percentile: Top 74%
Mathematical and Theoretical Epidemiology and Ecology Models
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