Khan Amir, Zarin Rahat, Hussain Ghulam, Ahmad Noor Atinah, Mohd Mohd Hafiz, Yusuf Abdullahi
Department of Mathematics and Statistics, University of Swat, Khyber Pakhtunkhawa, Pakistan.
Department of Mathematics, University of Malakand, Chakdara Dir (Lower), Khyber Pakhtunkhawa, Pakistan.
Results Phys. 2021 Jan;20:103703. doi: 10.1016/j.rinp.2020.103703. Epub 2020 Dec 17.
The dynamic of covid-19 epidemic model with a convex incidence rate is studied in this article. First, we formulate the model without control and study all the basic properties and results including local and global stability. We show the global stability of disease free equilibrium using the method of Lyapunov function theory while for disease endemic, we use the method of geometrical approach. Furthermore, we develop a model with suitable optimal control strategies. Our aim is to minimize the infection in the host population. In order to do this, we use two control variables. Moreover, sensitivity analysis complemented by simulations are performed to determine how changes in parameters affect the dynamical behavior of the system. Taking into account the central manifold theory the bifurcation analysis is also incorporated. The numerical simulations are performed in order to show the feasibility of the control strategy and effectiveness of the theoretical results.
本文研究了具有凸发病率的新冠肺炎疫情模型的动态特性。首先,我们构建了无控制措施的模型,并研究了包括局部和全局稳定性在内的所有基本性质和结果。我们使用李雅普诺夫函数理论方法证明了无病平衡点的全局稳定性,而对于疾病流行情况,我们使用几何方法。此外,我们还开发了一个具有适当最优控制策略的模型。我们的目标是使宿主群体中的感染最小化。为了实现这一目标,我们使用了两个控制变量。此外,通过模拟进行敏感性分析,以确定参数变化如何影响系统的动态行为。考虑到中心流形理论,还进行了分岔分析。进行数值模拟以展示控制策略的可行性和理论结果的有效性。