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Applied mathematics letters. 2022 Mar:125:107783. doi: 10.1016/j.aml.2021.107783 Q12.92024

On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021

关于具有疫苗接种和时滞效应的COVID-19动态模型:基于2021年扬州疫情的模型分析 翻译改进

Liyan Wang  1  2, Qiang Zhang  1, Jijun Liu  1  2

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作者单位

  • 1 School of Mathematics, Southeast University, Nanjing, 210096, PR China.
  • 2 Nanjing Center for Applied Mathematics, Nanjing, 211135, PR China.
  • DOI: 10.1016/j.aml.2021.107783 PMID: 34776608

    摘要 Ai翻译

    The 2019 novel coronavirus (COVID-19) emerged at the end of 2019 has a great influence on the health and lives of people all over the world. The spread principle is still unclear. This paper considers a novel evolution model of COVID-19 in terms of an integral-differential equation, involving vaccination effect and the incubation of COVID-19. The proposed mathematical model is rigorously analyzed on its asymptotic behavior with new probability functions, showing the final spread tendency. Moreover, our model is also verified numerically by the practical epidemic data of COVID-19 in Yangzhou from July to August 2021.

    Keywords: Asymptotic; COVID-19; Dynamic model; Incubation period; Probability function; Vaccination.

    Keywords:COVID-19; dynamical model; time-delay effects; vaccination

    Copyright © Applied mathematics letters. 中文内容为AI机器翻译,仅供参考!

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    期刊名:Applied mathematics letters

    缩写:APPL MATH LETT

    ISSN:0893-9659

    e-ISSN:1873-5452

    IF/分区:2.9/Q1

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    On the dynamical model for COVID-19 with vaccination and time-delay effects: A model analysis supported by Yangzhou epidemic in 2021