SEIQRS流行病模型的最优控制与全局稳定性

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/7880
M. Azoua, A. Azouani, I. Hafidi
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引用次数: 0

摘要

。医疗、疫苗接种和隔离是预防COVID-19等传染病传播的最有效控制措施。本文利用Lyapunov函数证明了地方病和无病平衡的全局稳定性。此外,我们采用这三项措施是为了尽量减少感染者的密度,并降低控制成本。此外,我们使用庞特里亚金最小原理来表征最优控制。最后,通过Matlab对四阶龙格-库塔近似进行了数值模拟,验证了理论结果
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Optimal control and global stability of the SEIQRS epidemic model
. Medical treatment, vaccination, and quarantine are the most efficacious controls in preventing the spread of contagious epidemics such as COVID-19. In this paper, we demonstrate the global stability of the endemic and disease-free equilibrium by using the Lyapunov function. Moreover, we apply the three measures to minimize the density of infected people and also reduce the cost of controls. Furthermore, we use the Pontryagin Minimum Principle in order to characterize the optimal controls. Finally, we execute some numerical simulations to approve and verify our theoretical results using the fourth order Runge-Kutta approximation through Matlab
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来源期刊
Communications in Mathematical Biology and Neuroscience
Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.10
自引率
15.40%
发文量
80
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.
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