Yunus Akeem O, Olayiwola Morufu O, Adedokun Kamilu A, Adedeji Joseph A, Alaje Ismaila A
Department of Mathematic and Statistics, Osun State College of Technology, Esa-Oke, Osun State Nigeria.
Department of Mathematical Sciences, Faculty of Basic and Applied Sciences, Osun State University, Osogbo, 210001 Osun State Nigeria.
Beni Suef Univ J Basic Appl Sci. 2022;11(1):144. doi: 10.1186/s43088-022-00326-9. Epub 2022 Dec 6.
The world's survival ability has been threatened by the COVID-19 outbreak. The possibility of the virus reemerging in the future should not be disregarded, even if it has been confined to certain areas of the world after wreaking such havoc. This is because it is impossible to prove that the virus has been totally eliminated. This research attempts to investigate the spread and control of the COVID-19 virus in Nigeria using the Caputo fractional order derivative in a proposed model.
We proposed a competent nine-compartment model of Corona virus infection. It starts by demonstrating that the model is epidemiologically sound in terms of solution existence and uniqueness. The basic reproduction threshold R was determined using the next-generation matrix technique. We applied the Laplace-Adomian decomposition method to the fractional-order Caputo's derivative model of the Corona virus disease to produce the approximate solution of the model analytically. The obtained results, in the form of an infinite series, were simulated using the MAPLE 18 package to investigate the effect of fractional order derivative on the dynamics of COVID-19 transmission in the model and shed light on methods of eradication. The graphical interpretations of the simulation process were shown and discussed accordingly.
The study reveals the effect of the Caputo fractional order derivative in the transmission dynamics of the disease. Individual recovery was found to be greatest at an integer order, which represents the full implementation of other factors such as treatment, vaccination, and disease transmission reduction. Hence, we advised that researchers, government officials, and health care workers make use of the findings of this study to provide ways in which disease transmission will be reduced to a minimum to stop the prevalence of COVID-19 by applying the findings of this study.
新冠疫情的爆发威胁到了全球的生存能力。即便在造成如此巨大破坏后该病毒已局限于世界某些地区,但也不能忽视其未来再次出现的可能性。这是因为无法证明该病毒已被彻底消灭。本研究试图在一个提出的模型中使用卡普托分数阶导数来研究新冠病毒在尼日利亚的传播与控制情况。
我们提出了一个有效的新冠病毒感染九房室模型。首先证明该模型在解的存在性和唯一性方面在流行病学上是合理的。使用下一代矩阵技术确定了基本再生数R。我们将拉普拉斯 - 阿多米安分解方法应用于新冠病毒疾病的分数阶卡普托导数模型,以解析地得出该模型的近似解。以无穷级数形式获得的结果使用MAPLE 18软件包进行模拟,以研究分数阶导数对模型中新冠病毒传播动态的影响,并阐明根除方法。展示并相应地讨论了模拟过程的图形解释。
该研究揭示了卡普托分数阶导数在疾病传播动态中的作用。发现个体恢复率在整数阶时最大,这代表着治疗、疫苗接种和减少疾病传播等其他因素的全面实施。因此,我们建议研究人员、政府官员和医护人员利用本研究的结果,通过应用本研究的发现来提供将疾病传播降至最低以阻止新冠疫情流行的方法。