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BACKWARD BIFURCATION AND GLOBAL STABILITY IN AN EPIDEMIC MODEL WITH TREATMENT AND VACCINATION

机译:治疗和接种疫苗的流行病模型中的后向分叉和全局稳定性

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摘要

In this paper, we consider a class of epidemic models described by five nonlinear ordinary differential equations. The population is divided into susceptible, vaccinated, exposed, infectious, and recovered subclasses. One main feature of this kind of models is that treatment and vaccination are introduced to control and prevent infectious diseases. The existence and local stability of the endemic equilibria are studied. The occurrence of backward bifurcation is established by using center manifold theory. Moveover, global dynamics are studied by applying the geometric approach. We would like to mention that in the case of bistability, global results are difficult to obtain since there is no compact absorbing set. It is the first time that higher (greater than or equal to four) dimensional systems are discussed. We give sufficient conditions in terms of the system parameters by extending the method in Arino et al. Numerical simulations are also provided to support our theoretical results. By carrying out sensitivity analysis of the basic reproduction number in terms of some parameters, some effective measures to control infectious diseases are analyzed.
机译:在本文中,我们考虑由五个非线性常微分方程描述的一类流行病模型。人口分为易感,接种,暴露,传染和恢复的亚类。这种模型的一个主要特征是引入了治疗和疫苗接种,以控制和预防传染病。研究了地方均衡的存在性和局部稳定性。通过中心流形理论确定了反向分叉的发生。迁移,通过应用几何方法研究全局动力学。我们要提到的是,在双稳性的情况下,由于没有紧凑的吸收套件,因此很难获得整体结果。这是第一次讨论更高(大于或等于四个)尺寸的系统。通过扩展Arino等人的方法,我们就系统参数给出了充分的条件。还提供了数值模拟来支持我们的理论结果。通过对一些参数对基本繁殖数进行敏感性分析,分析了控制传染病的有效措施。

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