COVID-19疫苗传播的分数阶流行模型研究

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Communications in Mathematical Biology and Neuroscience Pub Date : 2023-01-01 DOI:10.28919/cmbn/8214

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引用次数: 0

摘要

在本文中，我们提出了一个分数双峰SIT R数学模型来研究接种疫苗影响下Covid-19在人群中的传播。这项研究依赖于无病和地方性平衡的稳定性。为了证明结果的有效性，我们给出了一个数值算例。结果表明，如果对易感亚群接种疫苗，感染亚群和治疗亚群的数量都会减少。此外，恢复亚群增加。

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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A study for fractional order epidemic model of COVID-19 spread with vaccination

In this paper, we present a fractional bi-modal SIT R mathematical model to study the Covid-19 spread in a human population under vaccination influence. The study depends on the stability of the disease-free and endemic equilibrium. To demonstrate the validity of the results, we give a numerical example. The results show that the infected and treatment subpopulations decrease if the susceptible subpopulations are vaccinated. Moreover, the recovered subpopulation increased.

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来源期刊

Communications in Mathematical Biology and Neuroscience COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

2.10

自引率

15.40%

发文量

期刊介绍： Communications in Mathematical Biology and Neuroscience (CMBN) is a peer-reviewed open access international journal, which is aimed to provide a publication forum for important research in all aspects of mathematical biology and neuroscience. This journal will accept high quality articles containing original research results and survey articles of exceptional merit.