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轻症病例在新冠病毒传播中作用的分数阶模型

Fractional Order Model for the Role of Mild Cases in the Transmission of COVID-19.

作者信息

Baba Isa Abdullahi, Nasidi Bashir Ahmad

机构信息

Department of Mathematical Sciences, Bayero University Kano.

出版信息

Chaos Solitons Fractals. 2021 Jan;142:110374. doi: 10.1016/j.chaos.2020.110374. Epub 2020 Oct 20.

Abstract

Most of the nations with deplorable health conditions lack rapid COVID-19diagnostic test due to limited testing kits and laboratories. The un-diagnosticmild cases (who show no critical sign and symptoms) play the role as a route that spread the infection unknowingly to healthy individuals. In this paper, we present a fractional order SIR model incorporating individual with mild cases as a compartment to become SMIR model. The existence of the solutions of the model is investigated by solving the fractional Gronwall's inequality using the Laplace transform approach. The equilibrium solutions (DFE & Endemic) are found to be locally asymptotically stable, and subsequently the basic reproduction number is obtained. Also the global stability analysis is carried out by constructing Lyapunov function. Lastly, numerical simulations that support analytic solution follow. It was also shown that when the rate of infection of the mild cases increases, there is equivalent increase in the overall population of infected individuals. Hence to curtail the spread of the disease there is need to take care of the Mild cases as well.

摘要

大多数健康状况糟糕的国家由于检测试剂盒和实验室数量有限,缺乏快速的新冠病毒诊断检测。未被诊断出来的轻症病例(没有明显危急体征和症状)成为了在不知不觉中将感染传播给健康个体的途径。在本文中,我们提出了一个分数阶SIR模型,将轻症病例个体纳入一个隔间,形成SMIR模型。通过使用拉普拉斯变换方法求解分数阶格朗沃尔不等式,研究了该模型解的存在性。发现平衡解(无病平衡点和地方病平衡点)是局部渐近稳定的,随后得到了基本再生数。还通过构造李雅普诺夫函数进行了全局稳定性分析。最后,给出了支持解析解的数值模拟。研究还表明,当轻症病例的感染率增加时,感染个体的总体数量也会相应增加。因此,为了遏制疾病的传播,也需要关注轻症病例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1234/7574709/b568163e56e2/gr1_lrg.jpg

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