Fear induced coexistence in eco-epidemiological systems with infected prey

The combined effects of ecological and disease characteristics are examined in eco-epidemiological models, which incorporate infectious illnesses into interaction models. We assumed in this article that the prey population is somewhat infected, and the predator benefits more from eating susceptible prey than from feeding on infected prey. Infected and susceptible prey are equally competitive for resources, and the predator consumes both at the same rate. We employed polar blow-up and time-scale desingularization techniques to tackle the singularity caused by frequency-dependent disease transmission at the origin in our model. For simplicity, we considered the linear functional response for interactions between prey and predators. We aimed to determine the influence of fear of predation on the eco-epidemiological system. According to our findings, there are two ways in which predation fear might support the coexistence of three populations: stable coexistence and oscillatory coexistence. Furthermore, our finding remained unchanged if we eliminated two presumptions: that susceptible and infected prey compete equally for resources and that predators consume both prey at identical rates. We also compared the outcomes by taking into account the growth with positive density dependency (Allee effect) and arrived at the same conclusion.

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Publication Details

Journal
Mathematical Biosciences & Engineering
Published
2025-01-01
DOI
https://doi.org/10.3934/mbe.2025107
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
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article
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article

Fear induced coexistence in eco-epidemiological systems with infected prey

Sourav Kumar Sasmal, Rupam Das
Mathematical Biosciences & Engineering
Mathematical and Theoretical Epidemiology and Ecology Models
article

Fear induced coexistence in eco-epidemiological systems with infected prey

Sourav Kumar Sasmal, Rupam Das
article en

Abstract

The combined effects of ecological and disease characteristics are examined in eco-epidemiological models, which incorporate infectious illnesses into interaction models. We assumed in this article that the prey population is somewhat infected, and the predator benefits more from eating susceptible prey than from feeding on infected prey. Infected and susceptible prey are equally competitive for resources, and the predator consumes both at the same rate. We employed polar blow-up and time-scale desingularization techniques to tackle the singularity caused by frequency-dependent disease transmission at the origin in our model. For simplicity, we considered the linear functional response for interactions between prey and predators. We aimed to determine the influence of fear of predation on the eco-epidemiological system. According to our findings, there are two ways in which predation fear might support the coexistence of three populations: stable coexistence and oscillatory coexistence. Furthermore, our finding remained unchanged if we eliminated two presumptions: that susceptible and infected prey compete equally for resources and that predators consume both prey at identical rates. We also compared the outcomes by taking into account the growth with positive density dependency (Allee effect) and arrived at the same conclusion.

Mathematical Biosciences & EngineeringVol. 22(11)
Indian Institute of Technology Roorkee (IN)
Openalex Percentile: Top 66%
Mathematical and Theoretical Epidemiology and Ecology Models
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Fear induced coexistence in eco-epidemiological systems with infected prey — Sourav Kumar Sasmal, Rupam Das · Mathematical Biosciences & Engineering (2025) | TGRS Research Map | TGRS