Efficacy of Isolation as a Control Strategy for Ebola Outbreaks in Combination with Vaccination

Debkusum Mukhopadhyay, Samares Pal
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Abstract

In this research work, we have developed and analyzed a deterministic epidemiological model with a system of nonlinear differential equations for controlling the spread of Ebola virus disease (EVD) in a population with vital dynamics (where birth and death rates are not equal). The model examines the disease transmission dynamics with isolation from exposed and infected human class and effect of vaccination in susceptible human population through stability analysis and bifurcation analysis. The model exhibits two steady state equilibria, namely, disease-free and endemic equilibrium. Next generation matrix method is used to find the expression for [Formula: see text] (the basic reproduction number). Local and global stability of diseases-free equilibrium are shown using nonsingular M-matrix technique and Lyapunov’s theorem, respectively. The existence and local stability of endemic equilibrium are explored under certain conditions. All numerical data entries are supported by various authentic sources. The simulation study is done using MATLAB code 45 which uses Runge–Kutta method of fourth order and we plot the time series and bifurcation diagrams which support our analytical findings. Stability analysis of the model shows that the disease-free equilibrium is locally as well as globally asymptotically stable if [Formula: see text] and endemic equilibrium is locally asymptotically stable in absence of vaccination if [Formula: see text]. Using central manifold theorem, the presence of transcritical bifurcation for a threshold value of the transmission rate parameter [Formula: see text] when [Formula: see text] passes through unity and backward bifurcation (i.e. transcritical bifurcation in opposite direction) for some higher value of [Formula: see text] are established. Our simulation study shows that isolation of exposed and infected individuals can be used as a more effective tool to control the spreading of EVD than only vaccination.
隔离与疫苗接种联合控制埃博拉疫情的效果
在这项研究工作中,我们开发并分析了一个具有非线性微分方程系统的确定性流行病学模型,用于控制埃博拉病毒疾病(EVD)在具有生命动力学(出生率和死亡率不相等)的人群中的传播。该模型通过稳定性分析和分叉分析,考察了与暴露和感染人群隔离的疾病传播动力学以及易感人群接种疫苗的效果。该模型表现出两种稳态平衡,即无病平衡和地方病平衡。下一代矩阵法用于查找[公式:见正文](基本再现数)的表达式。利用非奇异M-矩阵技术和李亚普诺夫定理分别给出了无病平衡的局部稳定性和全局稳定性。在一定条件下,探讨了地方病均衡的存在性和局部稳定性。所有数字数据条目都有各种可靠的来源支持。仿真研究是使用MATLAB代码45进行的,该代码使用四阶龙格-库塔方法,我们绘制了支持我们分析结果的时间序列和分岔图。模型的稳定性分析表明,如果[公式:见正文],无病平衡是局部和全局渐近稳定的,如果[方程式:见正文】,地方病平衡在没有疫苗接种的情况下是局部渐近稳定的。利用中心流形定理,当[公式:见正文]通过单位时,传输速率参数[公式:参见正文]的阈值存在跨临界分叉,而[公式:详见正文]的某个更高值存在后向分叉(即反向跨临界分叉)。我们的模拟研究表明,隔离暴露和感染的个体可以作为控制EVD传播的更有效的工具,而不仅仅是接种疫苗。
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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