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基于新型冠状病毒(COVID-19)模型的交替勒让德多项式数值解。

A numerical solution by alternative Legendre polynomials on a model for novel coronavirus (COVID-19).

作者信息

Hashemizadeh Elham, Ebadi Mohammad Ali

机构信息

Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran.

Young Researchers and Elite Club, Karaj Branch, Islamic Azad University, Karaj, Iran.

出版信息

Adv Differ Equ. 2020;2020(1):527. doi: 10.1186/s13662-020-02984-4. Epub 2020 Sep 25.

DOI:10.1186/s13662-020-02984-4
PMID:33014025
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7517755/
Abstract

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered coronavirus. This paper provides a numerical solution for the mathematical model of the novel coronavirus by the application of alternative Legendre polynomials to find the transmissibility of COVID-19. The mathematical model of the present problem is a system of differential equations. The goal is to convert this system to an algebraic system by use of the useful property of alternative Legendre polynomials and collocation method that can be solved easily. We compare the results of this method with those of the Runge-Kutta method to show the efficiency of the proposed method.

摘要

冠状病毒病(COVID-19)是一种由新发现的冠状病毒引起的传染病。本文通过应用第二类勒让德多项式为新型冠状病毒的数学模型提供了一个数值解,以求出COVID-19的传播率。当前问题的数学模型是一个微分方程组。目标是利用第二类勒让德多项式的有用性质和易于求解的配置法将该系统转化为代数系统。我们将该方法的结果与龙格 - 库塔方法的结果进行比较,以展示所提方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92f3/7517755/dc7e06cb53e4/13662_2020_2984_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92f3/7517755/29f97877a6eb/13662_2020_2984_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92f3/7517755/dc7e06cb53e4/13662_2020_2984_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92f3/7517755/29f97877a6eb/13662_2020_2984_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/92f3/7517755/dc7e06cb53e4/13662_2020_2984_Fig2_HTML.jpg

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本文引用的文献

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Modeling the impact of non-pharmaceutical interventions on the dynamics of novel coronavirus with optimal control analysis with a case study.通过案例研究,运用最优控制分析对非药物干预措施对新型冠状病毒动态的影响进行建模。
Chaos Solitons Fractals. 2020 Oct;139:110075. doi: 10.1016/j.chaos.2020.110075. Epub 2020 Jul 3.
2
Modelling the spread of COVID-19 with new fractal-fractional operators: Can the lockdown save mankind before vaccination?用新的分形分数算子对COVID-19传播进行建模:封锁措施能否在疫苗接种前拯救人类?
Chaos Solitons Fractals. 2020 Jul;136:109860. doi: 10.1016/j.chaos.2020.109860. Epub 2020 May 29.
3
A mathematical model for simulating the phase-based transmissibility of a novel coronavirus.
一种用于模拟新型冠状病毒基于相位的传染性的数学模型。
Infect Dis Poverty. 2020 Feb 28;9(1):24. doi: 10.1186/s40249-020-00640-3.
4
[The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China].[中国2019新型冠状病毒病(COVID-19)疫情的流行病学特征]
Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Feb 10;41(2):145-151. doi: 10.3760/cma.j.issn.0254-6450.2020.02.003.