Kada Driss, Kouidere Abdelfatah, Balatif Omar, Rachik Mostafa, Labriji El Houssine
Laboratory of Information Technology and Modeling, Department of Mathematics and Computer Science, Faculty of Sciences Ben M'Sik, Hassan II University, Casablanca, Morocco.
Laboratory of Analysis Modeling and Simulation, Department of Mathematics and Computer Science,Faculty of Sciences Ben M'Sik, Hassan II University, Sidi Othman, Casablanca, Morocco.
Chaos Solitons Fractals. 2020 Dec;141:110437. doi: 10.1016/j.chaos.2020.110437. Epub 2020 Nov 4.
In this article, we study the transmission of COVID-19 in the human population, notably between potential people and infected people of all age groups. Our objective is to reduce the number of infected people, in addition to increasing the number of individuals who recovered from the virus and are protected. We propose a mathematical model with control strategies using two variables of controls that represent respectively, the treatment of patients infected with COVID-19 by subjecting them to quarantine within hospitals and special places and using masks to cover the sensitive body parts. Pontryagin's Maximum principle is used to characterize the optimal controls and the optimality system is solved by an iterative method. Finally, numerical simulations are presented with controls and without controls. Our results indicate that the implementation of the strategy that combines all the control variables adopted by the World Health Organization (WHO), produces excellent results similar to those achieved on the ground in Morocco.
在本文中,我们研究了新冠病毒在人群中的传播情况,特别是在所有年龄组的潜在人群与感染者之间的传播。我们的目标是减少感染者的数量,同时增加从病毒中康复并获得保护的个体数量。我们提出了一个带有控制策略的数学模型,该模型使用两个控制变量,分别表示通过将新冠病毒感染者在医院和特殊场所进行隔离以及使用口罩覆盖敏感身体部位来对其进行治疗。庞特里亚金极大值原理用于刻画最优控制,最优性系统通过迭代方法求解。最后,给出了有控制和无控制情况下的数值模拟。我们的结果表明,实施结合世界卫生组织(WHO)采用的所有控制变量的策略,会产生与摩洛哥实地取得的结果类似的优异成果。