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具有米塔格-莱夫勒核的COVID-19病毒传播的复杂数学SIR模型。

Complex mathematical SIR model for spreading of COVID-19 virus with Mittag-Leffler kernel.

作者信息

Akyildiz F Talay, Alshammari Fehaid Salem

机构信息

Department of Mathematics and Statistics, Faculty of Science, Imam Mohammad ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

出版信息

Adv Differ Equ. 2021;2021(1):319. doi: 10.1186/s13662-021-03470-1. Epub 2021 Jul 3.

DOI:10.1186/s13662-021-03470-1
PMID:34249124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8254457/
Abstract

This paper investigates a new model on coronavirus-19 disease (COVID-19), that is complex fractional SIR epidemic model with a nonstandard nonlinear incidence rate and a recovery, where derivative operator with Mittag-Leffler kernel in the Caputo sense (ABC). The model has two equilibrium points when the basic reproduction number ; a disease-free equilibrium and a disease endemic equilibrium . The disease-free equilibrium stage is locally and globally asymptotically stable when the basic reproduction number , we show that the endemic equilibrium state is locally asymptotically stable if . We also prove the existence and uniqueness of the solution for the Atangana-Baleanu SIR model by using a fixed-point method. Since the Atangana-Baleanu fractional derivative gives better precise results to the derivative with exponential kernel because of having fractional order, hence, it is a generalized form of the derivative with exponential kernel. The numerical simulations are explored for various values of the fractional order. Finally, the effect of the ABC fractional-order derivative on suspected and infected individuals carefully is examined and compared with the real data.

摘要

本文研究了一种关于冠状病毒病(COVID-19)的新模型,即具有非标准非线性发病率和恢复率的复杂分数阶SIR流行病模型,其中导数算子是Caputo意义下具有Mittag-Leffler核的(ABC)。当基本再生数 时,该模型有两个平衡点;一个无病平衡点 和一个地方病平衡点 。当基本再生数 时,无病平衡阶段是局部和全局渐近稳定的,我们表明当 时,地方病平衡状态是局部渐近稳定的。我们还通过使用不动点方法证明了Atangana-Baleanu SIR模型解的存在性和唯一性。由于Atangana-Baleanu分数阶导数具有分数阶,因此对具有指数核的导数给出了更好的精确结果,因此它是具有指数核的导数的广义形式。针对分数阶的各种值进行了数值模拟。最后,仔细研究了ABC分数阶导数对疑似和感染个体的影响,并与实际数据进行了比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fadb/8254457/08485ebaf76e/13662_2021_3470_Fig5_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fadb/8254457/08485ebaf76e/13662_2021_3470_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fadb/8254457/2f7679b900b3/13662_2021_3470_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fadb/8254457/ce24ff34c3d2/13662_2021_3470_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fadb/8254457/ab71f9fd985f/13662_2021_3470_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fadb/8254457/aec92e9d2ac1/13662_2021_3470_Fig4_HTML.jpg
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