新型冠状病毒模型的最优控制

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7846

Y. Jabrani, R. Bouajaji, H. Laarabi, M. Rachik, A. Abta

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引用次数: 0

摘要

．这项研究提出了一个冠状病毒大流行模型，该模型结合了报告的和未报告的病毒病例，从而更加现实。此外，建议同时采取预防措施:接种疫苗和治疗，并同时实施。最优控制采用最大庞特里亚金原理进行表征。最后，数值模拟的结果证明了所提出的控制机制和该模型的实用性

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Optimal control of a new corona virus model

. This study proposes a corona pandemic model that incorporates both reported and unreported cases of virus to be more realistic. In addition, it is advised to employ both preventive measures: vaccination and treatment and applied them at the simultaneously. The optimal controls were characterized with the maximum Pontryagin principle. Finally, the results of the numerical simulations demonstrate the utility of the proposed control mechanisms and this modeling

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来源期刊

Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.10

自引率

15.40%

发文量

期刊介绍： Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.