Owoyemi Abiodun Ezekiel, Sulaiman Ibrahim Mohammed, Kumar Pushpendra, Govindaraj Venkatesan, Mamat Mustafa
Department of General Studies Federal College of Agricultural Produce Technology Kano Nigeria.
Institute of Strategic Industrial Decision Modelling (ISIDM), School of Quantitative Sciences Universiti Utara Malaysia Sintok 06010 Kedah Malaysia.
Math Methods Appl Sci. 2022 Oct 4. doi: 10.1002/mma.8772.
Since December 2019, the whole world has been facing the big challenge of Covid-19 or 2019-nCoV. Some nations have controlled or are controlling the spread of this virus strongly, but some countries are in big trouble because of their poor control strategies. Nowadays, mathematical models are very effective tools to simulate outbreaks of this virus. In this research, we analyze a fractional-order model of Covid-19 in terms of the Caputo fractional derivative. First, we generalize an integer-order model to a fractional sense, and then, we check the stability of equilibrium points. To check the dynamics of Covid-19, we plot several graphs on the time scale of daily and monthly cases. The main goal of this content is to show the effectiveness of fractional-order models as compared to integer-order dynamics.
自2019年12月以来，全球一直面临着新冠病毒（Covid-19或2019-nCoV）带来的巨大挑战。一些国家已经有力地控制住了或正在控制这种病毒的传播，但一些国家由于其糟糕的防控策略而陷入了大麻烦。如今，数学模型是模拟这种病毒爆发的非常有效的工具。在这项研究中，我们根据卡普托分数阶导数分析了一个新冠病毒的分数阶模型。首先，我们将一个整数阶模型推广到分数意义上，然后，我们检查平衡点的稳定性。为了研究新冠病毒的动态，我们绘制了每日和每月病例时间尺度上的几张图表。本内容的主要目的是展示分数阶模型相对于整数阶动态的有效性。
