A Mathematical Model and Analysis for the COVID-19 Infection

J. Tsetimi, M. I. Ossaiugbo, A. Atonuje
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Abstract

Corresponding Author: Jonathan Tsetimi Department of Mathematics, Faculty of Science, Delta State University, Abraka, Nigeria Email: tsetimi@yahoo.com Abstract: The dreaded COVID-19 is a communicable respiratory disease caused by a new strain of coronavirus that causes illness in humans. A study of the transmission dynamics of the disease is essential in the control and elimination of the disease. In this research work, we made some assumptions and employed a deterministic SEIR model in the study of the transmission dynamics of the novel coronavirus disease. A mathematical analysis is performed on the model. This analysis includes the positivity of solutions of the model, boundedness of solution, equilibrium points, basic reproduction number, stability and sensitivity analysis. The effects of some sensitive parameters of the basic reproduction number of the COVID-19 disease are made visible in the numerical solutions of the disease model. These simulations which can be employed as a guide in the control and elimination of the disease shows that individual’s compliance to government’s laws on the use of facemask and social distancing is a major successful tool to be positively embraced in the fight against this human enemy.
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新型冠状病毒感染的数学模型与分析
通讯作者:Jonathan Tsetimi尼日利亚阿布巴卡三角洲州立大学理学院数学系Email: tsetimi@yahoo.com摘要:可怕的COVID-19是一种由新型冠状病毒引起的可引起人类疾病的传染性呼吸道疾病。研究该病的传播动力学对控制和消灭该病至关重要。在本研究中,我们做了一些假设,并采用确定性SEIR模型来研究新型冠状病毒病的传播动力学。对模型进行了数学分析。该分析包括模型解的正性、解的有界性、平衡点、基本再现数、稳定性和灵敏度分析。在疾病模型的数值解中可以看到COVID-19疾病基本繁殖数的一些敏感参数的影响。这些模拟可以作为控制和消除疾病的指导,表明个人遵守政府关于使用口罩和保持社交距离的法律是在与这一人类敌人的斗争中积极接受的一个重要成功工具。
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