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首页> 外文期刊>International journal of nonlinear sciences and numerical simulation >Dynamic Behavior of an SIR Epidemic Model along with Time Delay; Crowley-Martin Type Incidence Rate and Holling Type II Treatment Rate
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Dynamic Behavior of an SIR Epidemic Model along with Time Delay; Crowley-Martin Type Incidence Rate and Holling Type II Treatment Rate

机译:SIR流行模式与时间延迟的动态行为; Crowley-Martin类型发射率和Holling II型治疗率

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摘要

In this article, we propose and analyze a time-delayed susceptible-infected-recovered (SIR) mathematical model with nonlinear incidence rate and nonlinear treatment rate for the control of infectious diseases and epidemics. The incidence rate of infection is considered as Crowley-Martin functional type and the treatment rate is considered as Holling functional type II. The stability of the model is investigated for the disease-free equilibrium (DFE) and endemic equilibrium (EE) points. From the mathematical analysis of the model, we prove that the model is locally asymptotically stable for DFE when the basic reproduction number R-0 is less than unity (R-0 < 1) and unstable when R-0 is greater than unity (R-0 > 1) for time lag tau >= 0. The stability behavior of the model for DFE at R-0 = 1 is investigated using Castillo-Chavez and Song theorem, which shows that the model exhibits forward bifurcation at R-0 = 1. We investigate the stability of the EE for time lag tau >= 0. We also discussed the Hopf bifurcation of EE numerically. Global stability of the model equilibria is also discussed. Furthermore, the model has been simulated numerically to exemplify analytical studies.
机译:在本文中,我们提出并分析了具有非线性发生率和非线性治疗率的时间延迟敏感性受感染的(SIR)数学模型,用于控制传染病和流行病。感染发生率被认为是各种功能型,治疗率被认为是霍宁功能型II型。研究了模型的稳定性,用于无疾病平衡(DFE)和流动性均衡(EE)点。从模型的数学分析中,我们证明了当基本再现数R-0小于Unity(R-0 <1)时,该模型对DFE局部渐近稳定,当R-0大于Unity时(R -0> 1)对于时间滞后> = 0.使用Castillo-Chavez和歌曲定理研究了R-0 = 1的DFE模型的稳定性行为,表明该模型在R-0 =的前进分叉1.我们调查EE的稳定性LAG Tau> = 0.我们还在数控上讨论了EE的HOPF分叉。还讨论了模型均衡的全局稳定性。此外,该模型已经数值模拟以举例说明分析研究。

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