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Dynamics of a fractional order mathematical model for COVID-19 epidemic

机译:Covid-19流行病分数数学模型的动态

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In this work, we formulate and analyze a new mathematical model for COVID-19 epidemic with isolated class in fractional order. This model is described by a system of fractional-order differential equations model and includes five classes, namely, S (susceptible class), E (exposed class), I (infected class), Q (isolated class), and R (recovered class). Dynamics and numerical approximations for the proposed fractional-order model are studied. Firstly, positivity and boundedness of the model are established. Secondly, the basic reproduction number of the model is calculated by using the next generation matrix approach. Then, asymptotic stability of the model is investigated. Lastly, we apply the adaptive predictor–corrector algorithm and fourth-order Runge–Kutta (RK4) method to simulate the proposed model. Consequently, a set of numerical simulations are performed to support the validity of the theoretical results. The numerical simulations indicate that there is a good agreement between theoretical results and numerical ones.
机译:在这项工作中,我们以分数顺序排列了Covid-19流行病的新数学模型。该模型由分数级微分方程模型的系统描述,包括五个类,即S(易感类),E(暴露类),I(被感染类),Q(孤立类)和R(恢复的类)。研究了所提出的分数阶模型的动态和数值近似。首先,建立模型的积极性和界限。其次,通过使用下一代矩阵方法计算模型的基本再现数。然后,研究了模型的渐近稳定性。最后,我们应用自适应预测器校正器算法和第四阶runge-Kutta(RK4)方法来模拟所提出的模型。因此,执行一组数值模拟以支持理论结果的有效性。数值模拟表明理论结果和数值之间存在良好的一致性。

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