Ali Zeeshan, Rabiei Faranak, Rashidi Mohammad M, Khodadadi Touraj
School of Engineering, Monash University Malaysia, 47500 Subang Jaya, Selangor Malaysia.
Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, 610054 Sichuan People's Republic of China.
Eur Phys J Plus. 2022;137(3):395. doi: 10.1140/epjp/s13360-022-02603-z. Epub 2022 Mar 28.
The purpose of this paper is to investigate the transmission dynamics of a fractional-order mathematical model of COVID-19 including susceptible ( ), exposed ( ), asymptomatic infected ( ), symptomatic infected ( ), and recovered ( ) classes named model, using the Caputo fractional derivative. Here, model describes the effect of asymptomatic and symptomatic transmissions on coronavirus disease outbreak. The existence and uniqueness of the solution are studied with the help of Schaefer- and Banach-type fixed point theorems. Sensitivity analysis of the model in terms of the variance of each parameter is examined, and the basic reproduction number to discuss the local stability at two equilibrium points is proposed. Using the Routh-Hurwitz criterion of stability, it is found that the disease-free equilibrium will be stable for whereas the endemic equilibrium becomes stable for and unstable otherwise. Moreover, the numerical simulations for various values of fractional-order are carried out with the help of the fractional Euler method. The numerical results show that asymptomatic transmission has a lower impact on the disease outbreak rather than symptomatic transmission. Finally, the simulated graph of total infected population by proposed model here is compared with the real data of second-wave infected population of COVID-19 outbreak in India.
本文旨在研究一个包含易感者( )、潜伏者( )、无症状感染者( )、有症状感染者( )和康复者( )这几类人群的COVID-19分数阶数学模型(命名为 模型)的传播动力学,采用Caputo分数阶导数。在此, 模型描述了无症状和有症状传播对冠状病毒病爆发的影响。借助Schaefer型和Banach型不动点定理研究了解的存在性和唯一性。考察了该模型在各参数方差方面的敏感性分析,并提出了基本再生数 以讨论两个平衡点处的局部稳定性。利用稳定性的Routh-Hurwitz准则发现,当 时无病平衡点将是稳定的,而当 时地方病平衡点变得稳定,否则不稳定。此外,借助分数阶欧拉方法对分数阶的各种值进行了数值模拟。数值结果表明,无症状传播对疾病爆发的影响低于有症状传播。最后,将本文提出的模型对总感染人群的模拟图与印度COVID-19疫情第二波感染人群的实际数据进行了比较。