Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate

This paper is concerned with the qualitative analysis of a diffusion SIR epidemic model with networked delay and nonlinear incidence rate. First, we prove the existence and uniqueness of the model by using the method of upper and lower solutions. Then, we prove that the trivial equilibrium (0, 0) is...

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Main Authors: Xiangyu Tang, Yujuan Chen
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2024/5739758
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author Xiangyu Tang
Yujuan Chen
author_facet Xiangyu Tang
Yujuan Chen
author_sort Xiangyu Tang
collection DOAJ
description This paper is concerned with the qualitative analysis of a diffusion SIR epidemic model with networked delay and nonlinear incidence rate. First, we prove the existence and uniqueness of the model by using the method of upper and lower solutions. Then, we prove that the trivial equilibrium (0, 0) is unstable; the disease-free equilibrium (N, 0) is locally asymptotically stable if the reproduction number R0≤1 and unstable if R0>1; the endemic equilibrium S∗,I∗ is locally asymptotically stable if R0≤R1 or if R1<R0 and τ<τ10∗; and S∗,I∗ is unstable if R1<R0 and τ>τ10∗. Moreover, when R1<R0, we show that hopf bifurcation occurs at S∗,I∗ and τ=τ10∗. Numerical results are provided for theoretical discoveries.
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institution Kabale University
issn 2314-4785
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publishDate 2024-01-01
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record_format Article
series Journal of Mathematics
spelling doaj-art-c6921f43660046cb9c9571213f84538f2025-02-03T01:45:32ZengWileyJournal of Mathematics2314-47852024-01-01202410.1155/2024/5739758Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence RateXiangyu Tang0Yujuan Chen1School of Mathematics and StatisticsSchool of Mathematics and StatisticsThis paper is concerned with the qualitative analysis of a diffusion SIR epidemic model with networked delay and nonlinear incidence rate. First, we prove the existence and uniqueness of the model by using the method of upper and lower solutions. Then, we prove that the trivial equilibrium (0, 0) is unstable; the disease-free equilibrium (N, 0) is locally asymptotically stable if the reproduction number R0≤1 and unstable if R0>1; the endemic equilibrium S∗,I∗ is locally asymptotically stable if R0≤R1 or if R1<R0 and τ<τ10∗; and S∗,I∗ is unstable if R1<R0 and τ>τ10∗. Moreover, when R1<R0, we show that hopf bifurcation occurs at S∗,I∗ and τ=τ10∗. Numerical results are provided for theoretical discoveries.http://dx.doi.org/10.1155/2024/5739758
spellingShingle Xiangyu Tang
Yujuan Chen
Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate
Journal of Mathematics
title Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate
title_full Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate
title_fullStr Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate
title_full_unstemmed Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate
title_short Analysis of the Diffusion SIR Epidemic Model With Networked Delay and Nonlinear Incidence Rate
title_sort analysis of the diffusion sir epidemic model with networked delay and nonlinear incidence rate
url http://dx.doi.org/10.1155/2024/5739758
work_keys_str_mv AT xiangyutang analysisofthediffusionsirepidemicmodelwithnetworkeddelayandnonlinearincidencerate
AT yujuanchen analysisofthediffusionsirepidemicmodelwithnetworkeddelayandnonlinearincidencerate