Global and Sensitivity Analyses of Unconcerned COVID-19 Cases in Nigeria: A Mathematical Modeling Approach

Faniran T. S.,, Bakare E. A.,, Potucek R.,, Ayoola E. O.
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引用次数: 5

Abstract

Covid-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Many measures have been made by World Health Organization (WHO), but these may be threatened by unconcerned infectious individuals (some infectious individuals who do not take the disease serious, by ignoring non-pharmaceutical intervention). A system of nonlinear ordinary differential equations that absorbs a class of unconcerned infectious individuals, is developed. An invasion threshold parameter, Rc, is derived using the next generation matrix approach. This is used to establish the global stability of COVID-19-free equilibrium points. The global asymptotic stability of COVID-19 persistence equilibrium solution is studied through the use of suitable LaSalle’s Invariance Principle with a Lyapunov function of Goh-Volterra type. The intervention of themodel key parameters is assessed through sensitivity analysis. Our results indicate that increase in the rate of hospitalization of the asymptomatic infectious and unconcerned infectious individuals after a compulsory national testing, could bring Rc below one. Our results suggest that there should be compulsory national testing and continuous enhancement, the awareness through effective risk communication concerning COVID-19 to the general public. Numerical simulations are carried out to validate the analytical results. Key-Words: COVID-19, unconcerned infectious individuals, testing, stability analyses, sensitivity analysis Received: March 11, 2021. Revised: April 25, 2021. Accepted: April 30, 2021. Published: May 4, 2021.
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尼日利亚非关注病例的全球和敏感性分析:一种数学建模方法
Covid-19是由严重急性呼吸综合征冠状病毒2 (SARS-CoV-2)引起的。世界卫生组织(世卫组织)已采取了许多措施,但这些措施可能受到不关心的感染个体(一些不重视疾病的感染个体,忽视非药物干预)的威胁。建立了一个非线性常微分方程组,它吸收了一类不相关的传染性个体。入侵阈值参数Rc是使用下一代矩阵方法导出的。用于建立无covid -19平衡点的全局稳定性。利用合适的LaSalle不变性原理和Goh-Volterra型Lyapunov函数,研究了COVID-19持续性平衡解的全局渐近稳定性。通过敏感性分析对模型关键参数的干预程度进行了评价。我们的研究结果表明,增加无症状感染者和非关注感染者在国家强制检测后的住院率,可以使Rc低于1。我们的研究结果表明,应该进行强制性的国家检测,并通过有效的风险沟通不断提高公众对COVID-19的认识。数值模拟验证了分析结果。关键词:COVID-19,非关注感染个体,检测,稳定性分析,敏感性分析修订日期:2021年4月25日。录用日期:2021年4月30日。发布日期:2021年5月4日。
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