Analysis of a Delayed SIR Model with Nonlinear Incidence Rate

An SIR epidemic model with incubation time and saturated incidence rate is formulated, where the susceptibles are assumed to satisfy the logistic equation and the incidence term is of saturated form with the susceptible. The threshold value ℜ0 determining whether the disease dies out is found. The r...

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Main Authors: Jin-Zhu Zhang, Zhen Jin, Quan-Xing Liu, Zhi-Yu Zhang
Format: Article
Language:English
Published: Wiley 2008-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2008/636153
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author Jin-Zhu Zhang
Zhen Jin
Quan-Xing Liu
Zhi-Yu Zhang
author_facet Jin-Zhu Zhang
Zhen Jin
Quan-Xing Liu
Zhi-Yu Zhang
author_sort Jin-Zhu Zhang
collection DOAJ
description An SIR epidemic model with incubation time and saturated incidence rate is formulated, where the susceptibles are assumed to satisfy the logistic equation and the incidence term is of saturated form with the susceptible. The threshold value ℜ0 determining whether the disease dies out is found. The results obtained show that the global dynamics are completely determined by the values of the threshold value ℜ0 and time delay (i.e., incubation time length). If ℜ0 is less than one, the disease-free equilibrium is globally asymptotically stable and the disease always dies out, while if it exceeds one there will be an endemic. By using the time delay as a bifurcation parameter, the local stability for the endemic equilibrium is investigated, and the conditions with respect to the system to be absolutely stable and conditionally stable are derived. Numerical results demonstrate that the system with time delay exhibits rich complex dynamics, such as quasiperiodic and chaotic patterns.
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institution Kabale University
issn 1026-0226
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publishDate 2008-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-6991727c62784f9dbbd2dbc8b485b5032025-02-03T01:21:45ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2008-01-01200810.1155/2008/636153636153Analysis of a Delayed SIR Model with Nonlinear Incidence RateJin-Zhu Zhang0Zhen Jin1Quan-Xing Liu2Zhi-Yu Zhang3School of Mechantronic Engineering, North University of China, Taiyuan 030051, ChinaDepartment of Mathematics, North University of China, Taiyuan 030051, ChinaDepartment of Mathematics, North University of China, Taiyuan 030051, ChinaDepartment of Basic Science, Taiyuan Institute of Technology, Taiyuan 030008, ChinaAn SIR epidemic model with incubation time and saturated incidence rate is formulated, where the susceptibles are assumed to satisfy the logistic equation and the incidence term is of saturated form with the susceptible. The threshold value ℜ0 determining whether the disease dies out is found. The results obtained show that the global dynamics are completely determined by the values of the threshold value ℜ0 and time delay (i.e., incubation time length). If ℜ0 is less than one, the disease-free equilibrium is globally asymptotically stable and the disease always dies out, while if it exceeds one there will be an endemic. By using the time delay as a bifurcation parameter, the local stability for the endemic equilibrium is investigated, and the conditions with respect to the system to be absolutely stable and conditionally stable are derived. Numerical results demonstrate that the system with time delay exhibits rich complex dynamics, such as quasiperiodic and chaotic patterns.http://dx.doi.org/10.1155/2008/636153
spellingShingle Jin-Zhu Zhang
Zhen Jin
Quan-Xing Liu
Zhi-Yu Zhang
Analysis of a Delayed SIR Model with Nonlinear Incidence Rate
Discrete Dynamics in Nature and Society
title Analysis of a Delayed SIR Model with Nonlinear Incidence Rate
title_full Analysis of a Delayed SIR Model with Nonlinear Incidence Rate
title_fullStr Analysis of a Delayed SIR Model with Nonlinear Incidence Rate
title_full_unstemmed Analysis of a Delayed SIR Model with Nonlinear Incidence Rate
title_short Analysis of a Delayed SIR Model with Nonlinear Incidence Rate
title_sort analysis of a delayed sir model with nonlinear incidence rate
url http://dx.doi.org/10.1155/2008/636153
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