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Analysis of Caputo fractional-order model for COVID-19 with lockdown.具有封锁措施的COVID-19的Caputo分数阶模型分析。
Adv Differ Equ. 2020;2020(1):394. doi: 10.1186/s13662-020-02853-0. Epub 2020 Aug 3.
2
New investigation of bats-hosts-reservoir-people coronavirus model and application to 2019-nCoV system.蝙蝠-宿主-储存宿主-人类冠状病毒模型的新研究及其在2019-nCoV系统中的应用。
Adv Differ Equ. 2020;2020(1):391. doi: 10.1186/s13662-020-02831-6. Epub 2020 Aug 3.
3
Mathematical modeling for adsorption process of dye removal nonlinear equation using power law and exponentially decaying kernels.使用幂律和指数衰减核的染料去除非线性方程吸附过程的数学建模。
Chaos. 2020 Apr;30(4):043106. doi: 10.1063/1.5121845.
4
Early dynamics of transmission and control of COVID-19: a mathematical modelling study.COVID-19 的传播和控制的早期动态:一项数学建模研究。
Lancet Infect Dis. 2020 May;20(5):553-558. doi: 10.1016/S1473-3099(20)30144-4. Epub 2020 Mar 11.
5
A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.中国武汉市 2019 年冠状病毒病(COVID-19)爆发的概念模型,包括个体反应和政府行动。
Int J Infect Dis. 2020 Apr;93:211-216. doi: 10.1016/j.ijid.2020.02.058. Epub 2020 Mar 4.
6
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.
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The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health - The latest 2019 novel coronavirus outbreak in Wuhan, China.新型冠状病毒持续的2019 - nCoV疫情对全球健康构成威胁——中国武汉最新的2019新型冠状病毒爆发。
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Models of strategies for control of rubella and congenital rubella syndrome-a 40 year experience from Australia.控制风疹和先天性风疹综合征策略模型——来自澳大利亚的 40 年经验。
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一项关于使用埃尔米特小波的新型冠状病毒疾病分数模型的研究。

A study on fractional COVID-19 disease model by using Hermite wavelets.

作者信息

Kumar Sunil, Kumar Ranbir, Momani Shaher, Hadid Samir

机构信息

Department of Mathematics National Institute of Technology Jamshedpur Jharkhand India.

Nonlinear Dynamics Research Center (NDRC) Ajman University Ajman UAE.

出版信息

Math Methods Appl Sci. 2021 Feb 7. doi: 10.1002/mma.7065.

DOI:10.1002/mma.7065
PMID:33821070
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8014741/
Abstract

The preeminent target of present study is to reveal the speed characteristic of ongoing outbreak COVID-19 due to novel coronavirus. On January 2020, the novel coronavirus infection (COVID-19) detected in India, and the total statistic of cases continuously increased to 7 128 268 cases including 109 285 deceases to October 2020, where 860 601 cases are active in India. In this study, we use the Hermite wavelets basis in order to solve the COVID-19 model with time- arbitrary Caputo derivative. The discussed framework is based upon Hermite wavelets. The operational matrix incorporated with the collocation scheme is used in order to transform arbitrary-order problem into algebraic equations. The corrector scheme is also used for solving the COVID-19 model for distinct value of arbitrary order. Also, authors have investigated the various behaviors of the arbitrary-order COVID-19 system and procured developments are matched with exiting developments by various techniques. The various illustrations of susceptible, exposed, infected, and recovered individuals are given for its behaviors at the various value of fractional order. In addition, the proposed model has been also supported by some numerical simulations and wavelet-based results.

摘要

本研究的主要目标是揭示新型冠状病毒导致的正在爆发的COVID-19的传播速度特征。2020年1月,印度检测到新型冠状病毒感染(COVID-19),截至2020年10月,病例总数持续增加至7128268例,其中包括109285例死亡病例,印度有860601例活跃病例。在本研究中,我们使用埃尔米特小波基来求解具有时间任意阶Caputo导数的COVID-19模型。所讨论的框架基于埃尔米特小波。结合配置方案的运算矩阵用于将任意阶问题转化为代数方程。校正方案也用于求解任意阶不同值的COVID-19模型。此外,作者研究了任意阶COVID-19系统的各种行为,并通过各种技术将所取得的进展与现有进展进行了匹配。给出了易感、暴露、感染和康复个体在分数阶不同值时行为的各种图示。此外,所提出的模型还得到了一些数值模拟和基于小波的结果的支持。