• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

具有时滞的SIR传染病模型的全局稳定性

Global stability of an SIR epidemic model with time delays.

作者信息

Beretta E, Takeuchi Y

机构信息

Istituto de Biomatematica, Università, Urbino, Italy.

出版信息

J Math Biol. 1995;33(3):250-60. doi: 10.1007/BF00169563.

DOI:10.1007/BF00169563
PMID:7897328
Abstract

An SIR disease transmission model is formulated under the assumption that the force of infection at the present time depends on the number of infectives at the past. It is shown that a disease free equilibrium point is globally stable if no endemic equilibrium point exists. Further the endemic point (if it exists) is globally stable with respect to the whole state space except the neighborhood of the disease free state.

摘要

在当前感染强度取决于过去感染者数量这一假设下,构建了一个SIR疾病传播模型。结果表明,如果不存在地方病平衡点,无病平衡点是全局稳定的。此外,地方病平衡点(如果存在)在除无病状态邻域之外的整个状态空间内是全局稳定的。

相似文献

1
Global stability of an SIR epidemic model with time delays.具有时滞的SIR传染病模型的全局稳定性
J Math Biol. 1995;33(3):250-60. doi: 10.1007/BF00169563.
2
Lyapunov functions and global stability for SIR and SIRS epidemiological models with non-linear transmission.具有非线性传播的SIR和SIRS流行病模型的李雅普诺夫函数与全局稳定性
Bull Math Biol. 2006 Apr;68(3):615-26. doi: 10.1007/s11538-005-9037-9. Epub 2006 Mar 29.
3
Global properties of infectious disease models with nonlinear incidence.具有非线性发病率的传染病模型的全局性质
Bull Math Biol. 2007 Aug;69(6):1871-86. doi: 10.1007/s11538-007-9196-y. Epub 2007 Apr 19.
4
Non-linear incidence and stability of infectious disease models.传染病模型的非线性发病率与稳定性
Math Med Biol. 2005 Jun;22(2):113-28. doi: 10.1093/imammb/dqi001. Epub 2005 Mar 18.
5
Analysis of SIR epidemic models with nonlinear incidence rate and treatment.具有非线性发生率和治疗的 SIR 传染病模型分析。
Math Biosci. 2012 Jul;238(1):12-20. doi: 10.1016/j.mbs.2012.03.010. Epub 2012 Apr 9.
6
Effect of infection age on an SIS epidemic model on complex networks.感染年龄对复杂网络上SIS传染病模型的影响。
J Math Biol. 2016 Nov;73(5):1227-1249. doi: 10.1007/s00285-016-0991-7. Epub 2016 Mar 23.
7
The stability of an sir epidemic model with time delays.时滞 SIR 传染病模型的稳定性。
Math Biosci Eng. 2006 Jan;3(1):101-9. doi: 10.3934/mbe.2006.3.101.
8
Global stability for epidemic model with constant latency and infectious periods.具有常数潜伏期和传染期的传染病模型的全局稳定性。
Math Biosci Eng. 2012 Apr;9(2):297-312. doi: 10.3934/mbe.2012.9.297.
9
Global stability of an epidemic model with delay and general nonlinear incidence.时滞和广义非线性发生率的传染病模型的全局稳定性。
Math Biosci Eng. 2010 Oct;7(4):837-50. doi: 10.3934/mbe.2010.7.837.
10
Global properties of SIR and SEIR epidemic models with multiple parallel infectious stages.具有多个并行感染阶段的SIR和SEIR流行病模型的全局性质
Bull Math Biol. 2009 Jan;71(1):75-83. doi: 10.1007/s11538-008-9352-z. Epub 2008 Sep 4.

引用本文的文献

1
Existence of Traveling Waves of a Diffusive Susceptible-Infected-Symptomatic-Recovered Epidemic Model with Temporal Delay.具有时间延迟的扩散易感-感染-有症状-康复流行病模型行波的存在性
Mathematics (Basel). 2024 Mar 1;12(5). doi: 10.3390/math12050710. Epub 2024 Feb 28.
2
Understanding underlying physical mechanism reveals early warning indicators and key elements for adaptive infections disease networks.了解潜在的物理机制可揭示适应性传染病网络的早期预警指标和关键要素。
PNAS Nexus. 2024 Jun 26;3(7):pgae237. doi: 10.1093/pnasnexus/pgae237. eCollection 2024 Jul.
3
A Model for Reinfections and the Transition of Epidemics.

本文引用的文献

1
Global stability results for a generalized Lotka-Volterra system with distributed delays. Applications to predator-prey and to epidemic systems.具有分布时滞的广义Lotka-Volterra系统的全局稳定性结果。在捕食-食饵系统和传染病系统中的应用。
J Math Biol. 1988;26(6):661-88. doi: 10.1007/BF00276147.
再感染模型与传染病的传播。
Viruses. 2023 Jun 8;15(6):1340. doi: 10.3390/v15061340.
4
Finite-time stability analysis and control of stochastic SIR epidemic model: A study of COVID-19.随机SIR传染病模型的有限时间稳定性分析与控制:以COVID-19为例的研究
Biomed Signal Process Control. 2023 Sep;86:105123. doi: 10.1016/j.bspc.2023.105123. Epub 2023 Jun 13.
5
Estimation of the size of the COVID-19 pandemic using the epidemiological wavelength model: results from OECD countries.利用流行病学波长模型估计 COVID-19 大流行的规模:来自经合组织国家的数据。
Public Health. 2023 Jul;220:172-178. doi: 10.1016/j.puhe.2023.05.013. Epub 2023 May 16.
6
Global Stability for an Endogenous-Reactivated Tuberculosis Model with Beddington-DeAngelis Incidence, Distributed Delay and Relapse.具有Beddington-DeAngelis发生率、分布时滞和复发的内源性再激活结核病模型的全局稳定性
Qual Theory Dyn Syst. 2023;22(3):89. doi: 10.1007/s12346-023-00788-x. Epub 2023 Apr 24.
7
Path integral control of a stochastic multi-risk SIR pandemic model.随机多风险 SIR 大流行模型的路径积分控制。
Theory Biosci. 2023 Jun;142(2):107-142. doi: 10.1007/s12064-023-00388-y. Epub 2023 Mar 11.
8
Investigation of vaccination game approach in spreading covid-19 epidemic model with considering the birth and death rates.考虑出生率和死亡率的新冠疫情传播模型中疫苗接种博弈方法的研究
Chaos Solitons Fractals. 2022 Oct;163:112565. doi: 10.1016/j.chaos.2022.112565. Epub 2022 Aug 18.
9
Modelling effectiveness of COVID-19 pandemic control policies using an Area-based SEIR model with consideration of infection during interzonal travel.使用基于区域的SEIR模型并考虑区域间旅行期间的感染情况对COVID-19大流行控制政策的有效性进行建模。
Transp Res Part A Policy Pract. 2022 Jul;161:25-47. doi: 10.1016/j.tra.2022.05.003. Epub 2022 May 17.
10
Modeling the effects of preventive measures and vaccination on the COVID-19 spread in Benin Republic with optimal control.运用最优控制方法模拟预防措施和疫苗接种对贝宁共和国新冠疫情传播的影响。
Results Phys. 2021 Dec;31:104969. doi: 10.1016/j.rinp.2021.104969. Epub 2021 Nov 16.