A novel covid-19 mathematical model with fractional derivatives: Singular and nonsingular kernels.

IF 5.6
Chaos, solitons, and fractals Pub Date : 2020-10-01 Epub Date: 2020-06-28 DOI:10.1016/j.chaos.2020.110060
Zizhen Zhang
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引用次数: 0

Abstract

In this paper, we considered a new mathematical model depicting the possibility of spread within a given general population. The model is constructed with five classes including susceptible, exposed, infected, recovered and deaths. We presented a detailed analysis of the suggested model including, the derivation of equilibrium points endemic and disease-free, reproductive number using the next generation matrix, the stability analysis of the equilibrium points and finally the positiveness of the model solutions. The model was extended to the concept of fractional differentiation to capture different memories including power law, decay and crossover behaviors. A numerical method based on the Newton was used to provide numerical solutions for different memories.

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具有分数阶导数的新型covid-19数学模型:奇异核和非奇异核。
在本文中,我们考虑了一个新的数学模型来描述在给定的一般群体中传播的可能性。该模型分为易感、暴露、感染、康复和死亡五类。我们对所建议的模型进行了详细的分析,包括平衡点的推导,地方病和无病,使用下一代矩阵的繁殖数,平衡点的稳定性分析以及模型解的正性。该模型被扩展到分数阶微分的概念,以捕捉不同的记忆,包括幂律、衰减和交叉行为。采用基于牛顿的数值方法,给出了不同存储器的数值解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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