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A deterministic time-delayed SIR epidemic model: mathematical modeling and analysis

机译:确定性时间延迟SIR疫病模型:数学建模与分析

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In this paper, a deterministic model for transmission of an epidemic has been proposed by dividing the total population into three subclasses, namely susceptible, infectious and recovered. The incidence rate of infection is taken as a nonlinear functional along with time delay, and treatment rate of infected is considered as Holling type III functional. We have structured a deterministic transmission model of the epidemic taking into account the factors that affect the epidemic transmission such as social and natural factors, inhibitory effects and numerous control measures. The delayed model has been analyzed mathematically for two equilibria, namely disease-free equilibrium (DFE) and endemic equilibrium. It is found that DFE is locally and globally asymptotically stable when the basic reproduction number (R0) is less than unity. It has also been shown that the delayed system for DFE at R-0 = 1 is linearly neutrally stable. The existence of an endemic equilibrium has been shown and found that under some conditions, endemic equilibrium is locally asymptotically stable, and is globally asymptotically stable when R-0 > 1. Further, the endemic equilibrium exhibits Hopf bifurcation under some conditions. Finally, an undelayed system has been analyzed, and it is shown that at R-0 = 1, DFE exhibits a forward bifurcation.
机译:本文通过将总人口分为三个亚类,即易感,传染和恢复,提出了一种用于传播流行病的确定性模型。感染的发生率与时间延迟的非线性功能,并且感染的治疗率被认为是III型功能。考虑到影响疫情传播,如社会和自然因素,抑制作用和许多控制措施,我们已经构成了疫情的确定性传输模型。已经在数学上分析了延迟模型,用于两种平衡,即无病平衡(DFE)和流动性平衡。发现当基本再现数(R0)小于单位时,DFE在本地和全局渐近稳定。还表明,R-0 = 1的DFE的延迟系统是线性中性稳定的。已经显示出存在的流动性均衡,并发现在某些条件下,流动性平衡是局部渐近稳定的,并且当R-0> 1时是全局渐近稳定的。进一步地,在某些条件下,流动性平衡表现出Hopf分岔。最后,已经分析了一个不级别的系统,并且显示在R-0 = 1,DFE表现出前向分叉。

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