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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >Stability and Hopf bifurcation analysis of an SVEIR epidemic model with vaccination and multiple time delays
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Stability and Hopf bifurcation analysis of an SVEIR epidemic model with vaccination and multiple time delays

机译:疫苗接种的稳定性和Hopf分岔分析和多次延迟

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Infectious diseases have been ranked in the top ten causes of death by WHO in 2016 and despite of availability of various types of vaccines and antibiotics, a huge population is still dying by infectious diseases every day. This may happen due to, several reasons like, resistance of pathogens to antibiotics, improper hygiene and various types of difficulties in vaccination. It has also inspired mathematical modelers to develop dynamical systems predicting the infections in long run. During their spread in a particular population, infectious diseases show various kind of delays which essentially affects the dynamics. In this paper, a susceptible - vaccinated- exposed - infectious - removed (SVEIR) epidemic model is developed with vaccination and two discrete time delays. The first time delay has been incorporated for the time period used to cure the infectious population and another time delay denote the temporary immunity period. The existence of solution and its boundedness have been established. The local stability of disease free equilibrium in respect of both the delays have been discussed explicitly and we have found threshold values of both delay parameters for the local stability of disease free equilibrium. We have also established the local stability of interior equilibrium following the existence of Hopf-bifurcation. Theoretical result shows that considered model system undergoes a Hopf-bifurcation around the interior equilibrium when the time delay due to time period used to cure the infectious population crosses a threshold value. We have also discussed the direction and stability of delay induced Hopf bifurcation using normal form theory and centre manifold theorem. In presence of delay, by constructing a Lyapunov function, local asymptotic stability of the positive equilibrium point is discussed. The length of delay has been estimated to preserve the stability using Nyquist criterion. With the suitable choices of the parameters, some numerical simulations have been presented in the support of our analytical results. (C) 2019 Elsevier Ltd. All rights reserved.
机译:2016年世卫组织在2016年,尽管各种类型的疫苗和抗生素可用,但每天仍然患有传染病仍然死亡,传染病被排名在十大死亡原因中。这可能发生的几种原因如此,病原体对抗生素的抵抗力,卫生不当和疫苗接种的各种困难。它还启发了数学建模者,以开发长期预测感染的动态系统。在特定人群中蔓延期间,传染病展示了各种延迟,基本上影响了动态。本文采用疫苗接种和两次离散时间延迟,开发了一种敏感 - 疫苗暴露的暴露 - 传染(SVEIR)疫情模型。第一次延迟已被纳入用于治愈传染性人群的时间段,另一个时间延迟表示临时免疫期。已经建立了解决方案及其界限。已经明确讨论了对两种延迟的局部疾病平衡的局部稳定性,并且我们已经发现了用于局部疾病平衡的局部稳定性的延迟参数的阈值。我们还建立了Hopf-Bifurcation之后的内部均衡的局部稳定性。理论结果表明,当用于治疗传染性人群的时间段的时间延迟穿过阈值时,考虑模型系统在内部平衡周围经历跳跃分叉。我们还使用正常形式理论和中心歧管定理探讨了延迟诱导的Hopf分岔的方向和稳定性。在延迟存在下,通过构建Lyapunov函数,讨论了正平衡点的局部渐近稳定性。估计延迟长度以维护使用奈奎斯特标准的稳定性。利用参数的合适选择,已经提出了一些数值模拟,以支持我们的分析结果。 (c)2019年elestvier有限公司保留所有权利。

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