A fractional-order two-strain SVIR model with stability analysis

IF 4.6 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY
Weiyi Xu , Hu Wang , Zhenzhen Lu , Guojian Ren , Yongguang Yu
{"title":"A fractional-order two-strain SVIR model with stability analysis","authors":"Weiyi Xu ,&nbsp;Hu Wang ,&nbsp;Zhenzhen Lu ,&nbsp;Guojian Ren ,&nbsp;Yongguang Yu","doi":"10.1016/j.cjph.2024.08.006","DOIUrl":null,"url":null,"abstract":"<div><p>The outbreak and spread of infectious diseases has become a worldwide concern, and during the spread of infectious diseases, viruses have been found to evolve and diverge into different strains. Based on this phenomenon, the mathematical and biological properties of a multi-strain infectious disease model with vaccination have been studied. In this paper, a fractional-order two-strain SVIR model is proposed. Specifically, the model incorporates vaccine protection that follows a power-law tail distribution and where the vaccine affects the two-strain differently. And the fractional-order derivative form is given by derivation because its memory properties can better characterize the effect of vaccine protection. Meanwhile, we derive an explicit expression for the basic reproduction number of the two-strain and clarify its crucial role in governing the dynamics of the system. The stability results for the fractional-order model are given with the help of Routh–Hurwitz and Lyapunov methods. Moreover, it has been found that the spread of the two-strain of the infectious disease has different effects under different thresholds. Finally, the spread of COVID-19 in India is considered as a real case study to verify the rationality of the proposed model.</p></div>","PeriodicalId":10340,"journal":{"name":"Chinese Journal of Physics","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0577907324003071","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The outbreak and spread of infectious diseases has become a worldwide concern, and during the spread of infectious diseases, viruses have been found to evolve and diverge into different strains. Based on this phenomenon, the mathematical and biological properties of a multi-strain infectious disease model with vaccination have been studied. In this paper, a fractional-order two-strain SVIR model is proposed. Specifically, the model incorporates vaccine protection that follows a power-law tail distribution and where the vaccine affects the two-strain differently. And the fractional-order derivative form is given by derivation because its memory properties can better characterize the effect of vaccine protection. Meanwhile, we derive an explicit expression for the basic reproduction number of the two-strain and clarify its crucial role in governing the dynamics of the system. The stability results for the fractional-order model are given with the help of Routh–Hurwitz and Lyapunov methods. Moreover, it has been found that the spread of the two-strain of the infectious disease has different effects under different thresholds. Finally, the spread of COVID-19 in India is considered as a real case study to verify the rationality of the proposed model.

Abstract Image

带稳定性分析的分数阶双应变 SVIR 模型
传染病的爆发和传播已成为全世界关注的问题,而在传染病传播过程中,病毒会不断进化并分化成不同的毒株。基于这一现象,人们对带有疫苗接种的多毒株传染病模型的数学和生物学特性进行了研究。本文提出了一个分数阶双菌株 SVIR 模型。具体来说,该模型中的疫苗保护遵循幂律尾分布,且疫苗对两种菌株的影响不同。由于分数阶导数的记忆特性能更好地描述疫苗保护的效果,因此我们通过推导给出了分数阶导数形式。同时,我们推导出了双株基本繁殖数的明确表达式,并阐明了其在系统动力学中的关键作用。在 Routh-Hurwitz 和 Lyapunov 方法的帮助下,给出了分数阶模型的稳定性结果。此外,研究还发现,在不同的阈值下,双株传染病的传播具有不同的效果。最后,以 COVID-19 在印度的传播为实际案例,验证了所提模型的合理性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chinese Journal of Physics
Chinese Journal of Physics 物理-物理:综合
CiteScore
8.50
自引率
10.00%
发文量
361
审稿时长
44 days
期刊介绍: The Chinese Journal of Physics publishes important advances in various branches in physics, including statistical and biophysical physics, condensed matter physics, atomic/molecular physics, optics, particle physics and nuclear physics. The editors welcome manuscripts on: -General Physics: Statistical and Quantum Mechanics, etc.- Gravitation and Astrophysics- Elementary Particles and Fields- Nuclear Physics- Atomic, Molecular, and Optical Physics- Quantum Information and Quantum Computation- Fluid Dynamics, Nonlinear Dynamics, Chaos, and Complex Networks- Plasma and Beam Physics- Condensed Matter: Structure, etc.- Condensed Matter: Electronic Properties, etc.- Polymer, Soft Matter, Biological, and Interdisciplinary Physics. CJP publishes regular research papers, feature articles and review papers.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信