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尼日利亚新冠疫情动态建模

Modeling the Dynamics of COVID-19 in Nigeria.

作者信息

Adewole Matthew O, Onifade Akindele A, Abdullah Farah A, Kasali Funmilayo, Ismail Ahmad I M

机构信息

Department of Computer Science and Mathematics, Mountain Top University, Prayer City, Ogun State Nigeria.

School of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia.

出版信息

Int J Appl Comput Math. 2021;7(3):67. doi: 10.1007/s40819-021-01014-5. Epub 2021 Apr 19.

Abstract

To understand the dynamics of COVID-19 in Nigeria, a mathematical model which incorporates the key compartments and parameters regarding COVID-19 in Nigeria is formulated. The basic reproduction number is obtained which is then used to analyze the stability of the disease-free equilibrium solution of the model. The model is calibrated using data obtained from Nigeria Centre for Disease Control and key parameters of the model are estimated. Sensitivity analysis is carried out to investigate the influence of the parameters in curtailing the disease. Using Pontryagin's maximum principle, time-dependent intervention strategies are optimized in order to suppress the transmission of the virus. Numerical simulations are then used to explore various optimal control solutions involving single and multiple controls. Our results suggest that strict intervention effort is required for quick suppression of the disease.

摘要

为了解尼日利亚新冠肺炎的动态情况,构建了一个纳入尼日利亚新冠肺炎关键分区和参数的数学模型。得出基本再生数,并用其分析模型无病平衡解的稳定性。利用从尼日利亚疾病控制中心获得的数据对模型进行校准,并估计模型的关键参数。进行敏感性分析以研究各参数对控制该疾病的影响。运用庞特里亚金极大值原理,对随时间变化的干预策略进行优化,以抑制病毒传播。然后通过数值模拟探索涉及单一控制和多重控制的各种最优控制解决方案。我们的结果表明,需要采取严格的干预措施以迅速控制该疾病。

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