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评估口罩对 COVID-19 社区传播效果的分数阶动力学模型。

Fractional dynamical model to assess the efficacy of facemask to the community transmission of COVID-19.

机构信息

Department of Mathematical Science, Bayero University, Kano, Nigeria.

Department of Mathematics, Sa'adatu Rimi College of Education, Kano, Nigeria.

出版信息

Comput Methods Biomech Biomed Engin. 2022 Nov;25(14):1588-1598. doi: 10.1080/10255842.2021.2024170. Epub 2022 Jan 11.

Abstract

The emergence of highly contagious Alpha, Beta, Gamma and Delta variants and strains of COVID-19 put healthy people on high risk of contracting the infection. In addition to the vaccination strategies, the nonpharmaceutical intervention use of face mask gives protection against the contraction of the virus. To understand the efficacy of such, we present a Caputo type fractional dynamical model to assess the efficacy of facemask to the community transmission of COVID-19. The existence and uniqueness of the solution was established, and subsequently, with the use of the generalized mean value theorem, the positivity and boundedness of the solutions were established. The disease free equilibrium (DFE) was found to be asymptotically stable when the basic reproduction number By constructing quadratic Lyapunov function, the equilibria (DFE and Endemic) were found to be globally asymptotically stable.

摘要

高传染性的 Alpha、Beta、Gamma 和 Delta 变体和新冠病毒株的出现,使健康人群面临感染的高风险。除了接种疫苗策略外,非药物干预使用口罩也能提供对病毒感染的保护。为了了解这种效果,我们提出了一个 Caputo 型分数阶动力模型来评估口罩对新冠病毒社区传播的效果。建立了解的存在唯一性,并随后使用广义中值定理,建立了解的正定性和有界性。当基本再生数 时,发现无病平衡点(DFE)是渐近稳定的。通过构造二次 Lyapunov 函数,发现平衡点(DFE 和地方病平衡点)是全局渐近稳定的。

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