Dynamics analysis and optimal control of SIVR epidemic model with incomplete immunity.

IF 2.3 Q1 MATHEMATICS Advances in continuous and discrete models Pub Date : 2022-01-01 Epub Date: 2022-07-18 DOI:10.1186/s13662-022-03723-7
Yiming Liu, Shuang Jian, Jianguo Gao
{"title":"Dynamics analysis and optimal control of SIVR epidemic model with incomplete immunity.","authors":"Yiming Liu, Shuang Jian, Jianguo Gao","doi":"10.1186/s13662-022-03723-7","DOIUrl":null,"url":null,"abstract":"<p><p>In this paper, we establish an SIVR model with diffusion, spatially heterogeneous, latent infection, and incomplete immunity in the Neumann boundary condition. Firstly, the threshold dynamic behavior of the model is proved by using the operator semigroup method, the well-posedness of the solution and the basic reproduction number <math><msub><mi>ℜ</mi> <mn>0</mn></msub> </math> are given. When <math><msub><mi>ℜ</mi> <mn>0</mn></msub> <mo><</mo> <mn>1</mn></math> , the disease-free equilibrium is globally asymptotically stable, the disease will be extinct; when <math><msub><mi>ℜ</mi> <mn>0</mn></msub> <mo>></mo> <mn>1</mn></math> , the epidemic equilibrium is globally asymptotically stable, the disease will persist with probability one. Then, we introduce the patient's treatment into the system as the control parameter, and the optimal control of the system is discussed by applying the Hamiltonian function and the adjoint equation. Finally, the theoretical results are verified by numerical simulation.</p>","PeriodicalId":72091,"journal":{"name":"Advances in continuous and discrete models","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294857/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in continuous and discrete models","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13662-022-03723-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/7/18 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we establish an SIVR model with diffusion, spatially heterogeneous, latent infection, and incomplete immunity in the Neumann boundary condition. Firstly, the threshold dynamic behavior of the model is proved by using the operator semigroup method, the well-posedness of the solution and the basic reproduction number 0 are given. When 0 < 1 , the disease-free equilibrium is globally asymptotically stable, the disease will be extinct; when 0 > 1 , the epidemic equilibrium is globally asymptotically stable, the disease will persist with probability one. Then, we introduce the patient's treatment into the system as the control parameter, and the optimal control of the system is discussed by applying the Hamiltonian function and the adjoint equation. Finally, the theoretical results are verified by numerical simulation.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有不完全免疫力的 SIVR 流行模型的动力学分析与优化控制
本文在新曼边界条件下建立了一个具有扩散、空间异质性、潜伏感染和不完全免疫的 SIVR 模型。首先,利用算子半群法证明了该模型的阈值动态行为,给出了解的拟合优度和基本繁殖数ℜ 0。当 ℜ 0 1 时,无病均衡是全局渐近稳定的,疾病将灭绝;当 ℜ 0 > 1 时,流行均衡是全局渐近稳定的,疾病将以 1 的概率持续存在。然后,我们将病人的治疗作为控制参数引入系统,并应用哈密顿函数和邻接方程讨论了系统的最优控制。最后,通过数值模拟验证了理论结果。
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 去求助
来源期刊
CiteScore
2.30
自引率
0.00%
发文量
0
期刊最新文献
A q-analogue for partial-fraction decomposition of a rational function and its application A pair of centro-symmetric heteroclinic orbits coined The impact of resource limitation on the pest-natural enemy ecosystem with anti-predator behavior and fear effect Conservative Fourier spectral method for a class of modified Zakharov system with high-order space fractional quantum correction Universal approximation property of a continuous neural network based on a nonlinear diffusion equation
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1