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Optimal control problem on COVID-19 disease transmission model considering medical mask, disinfectants and media campaign

机译:考虑医用面膜,消毒剂和媒体运动的Covid-19疾病传输模型的最佳控制问题

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In this paper, a system of ordinary differential equation approach is developed to understand the spread of COVID-19. We first formulate the dynamic model by dividing the human population based on their health status, awareness status, and also including the free virus on the environment. We provide a basic analysis of the model regarding the well-posed properties and how the basic reproduction number can be used to determine the final state of COVID-19 in the population. A Pontryagin Maximum’s Principle used to construct the model as an optimal control problem in a purpose to determine the most effective strategies against the spread of COVID-19. Three control strategies involved in the model, such as media campaign to develop an awareness of individuals, medical masks to prevent direct transmission, and use of disinfectant to reduce the number of free virus in the environment. Through numerical simulations, we find that the time-dependent control succeeds in reducing the outbreak of COVID-19. Furthermore, if the intervention should be implemented as a single intervention, then the media campaign gives the most effective cost strategy.
机译:在本文中,开发了一种普通微分方程方法的系统来了解Covid-19的传播。我们首先通过将人口除以其健康状况,意识状态,以及在环境中的自由病毒中划分人口来制定动态模型。我们提供了关于良好构造特性的模型的基本分析以及基本再现数如何用于确定人口中Covid-19的最终状态。用于将模型构建模型作为最佳控制问题的Pontryagin最大原则,以便确定对Covid-19传播的最有效的策略。涉及模型的三种控制策略,如媒体活动,以促进个人的认识,医疗面具,以防止直接传输,并使用消毒剂减少环境中的游离病毒数量。通过数值模拟,我们发现时间依赖的控制成功减少了Covid-19的爆发。此外,如果干预应作为单一干预实施,那么媒体活动提供了最有效的成本策略。

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