Mathematical Model of an SIR Epidemic Switching with Zero Co-Infectives

R. I. Gweryina, C. E. Madubueze, Peter Arome Sani
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Abstract

This paper studies the global dynamics of an SIR epidemic switching model with zero co-infectives and intervention programmes. The model considers two epidemics of nonspecific nomenclature in which the first epidemic is a precondition to the outbreak of the second epidemic. Analytical study of the model exposed the two epidemic steady states, namely, epidemic-free equilibrium (EFE) and epidemic endemic equilibrium (EEE). Both equilibrium states are shown to be globally attractive points with respect to the criteria of the basic reproduction number using Lyapunov stability theory. Some sufficient conditions on the model parameters are obtained to show the existence of the forward bifurcation. Finally, numerical simulations are done to exemplify the qualitative results and the impact of switching and intervention programmes. The numerical results shown that switching reduces the susceptibility and infectivity of the first epidemic and increases that of the second epidemic. Also, depending on the severity of the both epidemics, the different levels of intervention programmes are needed to reduce the number of infectives in both epidemics. However, equal intervention programmes are recommended for both epidemics to avoid neglecting one epidemic during outbreaks of the two epidemics. Contribution/Originality: This study is one of the few studies in mathematical epidemiology which have investigated the role of switching in an SIR model of two epidemics with zero co-infectives. In addition, Lyapunov functions theory and Center Manifold method is applied to the model for the global stability analysis and existence of forward bifurcation respectively.
零共感染SIR流行病切换的数学模型
本文研究了具有零共感染和干预方案的SIR流行病切换模型的全局动力学。该模型考虑了两种非特异性命名的流行病,其中第一次流行病是第二次流行病爆发的先决条件。模型的分析研究揭示了两种稳定状态,即无流行平衡(EFE)和流行平衡(EEE)。利用李亚普诺夫稳定性理论证明了两个平衡态都是关于基本再生数准则的全局吸引点。得到了模型参数存在前向分岔的充分条件。最后,进行了数值模拟,以举例说明定性结果和转换和干预方案的影响。数值结果表明,切换降低了第一次流行的易感性和传染性,增加了第二次流行的易感性和传染性。此外,根据这两种流行病的严重程度,需要采取不同程度的干预方案,以减少这两种流行病的感染人数。但是,建议对这两种流行病采取同样的干预方案,以避免在两种流行病爆发期间忽视一种流行病。贡献/独创性:本研究是数学流行病学中为数不多的研究之一,研究了在两个无共感染的流行病的SIR模型中转换的作用。此外,利用Lyapunov函数理论和中心流形方法分别对模型进行了全局稳定性分析和正分叉的存在性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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