GLOBAL STABILITY OF AN SEIS EPIDEMIC MODEL WITH BEDDINGTON-DEANGELIS INFECTION RATE

In this paper, the global dynamic behaviors of an SEIS epidemic model with Beddington-DeAngelis infection rate are investigated. This model takes into account constant recruitment, death from the disease, and the phenomenon of latency. Under some hypotheses, it is shown that the global dynamics is determined by the basic reproduction number $R_0$. If $R_0$ is less than unity, the disease-free equilibrium is both locally and globally stable and the disease dies out. If $R_0$ is greater than unity, sufficient conditions for the global stability of the endemic equilibrium are obtained by the geometric approach of Li and Muldowney. Some numerical simulations are also presented to confirm the analytical results.

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Publication Details

Journal
Advances in Mathematics Scientific Journal
Published
2025-01-16
DOI
https://doi.org/10.37418/amsj.14.1.1
Primary Topic
COVID-19 epidemiological studies
Type
article
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article

GLOBAL STABILITY OF AN SEIS EPIDEMIC MODEL WITH BEDDINGTON-DEANGELIS INFECTION RATE

Soufiane Elkhaiar
Advances in Mathematics Scientific Journal
COVID-19 epidemiological studies
article

GLOBAL STABILITY OF AN SEIS EPIDEMIC MODEL WITH BEDDINGTON-DEANGELIS INFECTION RATE

Soufiane Elkhaiar
article en

Abstract

In this paper, the global dynamic behaviors of an SEIS epidemic model with Beddington-DeAngelis infection rate are investigated. This model takes into account constant recruitment, death from the disease, and the phenomenon of latency. Under some hypotheses, it is shown that the global dynamics is determined by the basic reproduction number $R_0$. If $R_0$ is less than unity, the disease-free equilibrium is both locally and globally stable and the disease dies out. If $R_0$ is greater than unity, sufficient conditions for the global stability of the endemic equilibrium are obtained by the geometric approach of Li and Muldowney. Some numerical simulations are also presented to confirm the analytical results.

Advances in Mathematics Scientific JournalVol. 14(1)
Openalex Percentile: Top 99%
COVID-19 epidemiological studies
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