A Lyapunov functional for vaccination model on the dynamics of cholera epidemic with non-linear incidence of infection

Lawal Jibril, Ibrahim Maihaja
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Abstract

A new deterministic susceptible-exposed-infectious-vaccinated-removed-pathogen (SEIVRB) cholera epidemic model with combined mass action incidence and saturated incidence rates is proposed and analyzed. A threshold level of vaccine coverage necessary for controlling or eradicating cholera has been determined and analyzed using the next generation matrix approach. It is shown that the higher values of vaccine coverage that are lower than the threshold value significantly reduces the number of infected individuals whenever basic reproduction number is less than unity, and the cholera would persist in the populations whenever the model basic reproduction number exceeds unity. The global stability for cholera free equilibrium state and cholera endemic equilibrium state of the model system is investigated using Lyapunov functional approach and Lasalle invariance principle, which are found to be globally asymptotically stable at both equilibrium states. Numerical simulations and graphical illustrations is presented to support the analytical results found in the study.
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具有非线性感染发生率的霍乱流行动力学的Lyapunov泛函接种模型
提出并分析了一种具有质量作用发生率和饱和发生率相结合的确定性易感暴露感染疫苗去除病原体(SEIVRB)霍乱流行模型。使用下一代矩阵方法确定和分析了控制或根除霍乱所需的疫苗覆盖阈值水平。结果表明,当基本繁殖数小于1时,低于阈值的较高疫苗覆盖率显著降低感染个体数,当模型基本繁殖数大于1时,霍乱将在人群中持续存在。利用Lyapunov泛函方法和Lasalle不变性原理研究了模型系统的无霍乱平衡状态和霍乱地方病平衡状态的全局稳定性,发现两者在平衡状态下都是全局渐近稳定的。文中给出了数值模拟和图解来支持分析结果。
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