Cost-effectiveness of a mathematical modeling with optimal control approach of spread of COVID-19 pandemic: A case study in Peru

Abdelfatah Kouidere , Omar Balatif , Mostafa Rachik
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引用次数: 3

Abstract

COVID-19 pandemic affects 213 countries and regions around the world. Which the number of people infected with the virus exceeded 26 millions infected and more than 870 thousand deaths until september 04, 2020, in the world, and Peru among the countries most affected by this pandemic. So we proposed a mathematical model describes the dynamics of spread of the COVID-19 pandemic in Peru. The optimal control strategy based on the model is proposed, and several reasonable and suitable control strategies are suggested to the prevention and reduce the spread COVID-19 virus, by conducting awareness campaigns and quarantine with treatment. coronavirus 2019 (COVID-19). Pontryagin’s maximum principle is used to characterize the optimal controls and the optimality system is solved by an iterative method. Finally, some numerical simulations are performed to verify the theoretical analysis using Matlab.

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2019冠状病毒病(COVID-19)大流行传播最优控制方法数学建模的成本效益:秘鲁案例研究
新冠肺炎疫情波及全球213个国家和地区。截至2020年9月4日,全球感染该病毒的人数超过2600万,死亡人数超过87万,秘鲁是受此大流行影响最严重的国家之一。因此,我们提出了一个数学模型来描述COVID-19大流行在秘鲁的传播动态。提出了基于该模型的最优控制策略,并提出了几种合理、合适的控制策略,通过开展宣传运动和隔离治疗来预防和减少COVID-19病毒的传播。2019冠状病毒(COVID-19)。采用庞特里亚金极大值原理描述最优控制,并采用迭代法求解最优性系统。最后,利用Matlab进行了数值仿真,验证了理论分析的正确性。
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来源期刊
Chaos, Solitons and Fractals: X
Chaos, Solitons and Fractals: X Mathematics-Mathematics (all)
CiteScore
5.00
自引率
0.00%
发文量
15
审稿时长
20 weeks
期刊最新文献
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