• 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

流行病在快速扩散的线路上的传播。

Propagation of Epidemics Along Lines with Fast Diffusion.

机构信息

Ecole des Hautes Etudes en Sciences Sociales, CNRS, Centre d'Analyse et Mathématiques Sociales, 54 boulevard Raspail, 75006, Paris, France.

HKUST Jockey Club Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.

出版信息

Bull Math Biol. 2020 Dec 14;83(1):2. doi: 10.1007/s11538-020-00826-8.

DOI:10.1007/s11538-020-00826-8
PMID:33315147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7734393/
Abstract

It has long been known that epidemics can travel along communication lines, such as roads. In the current COVID-19 epidemic, it has been observed that major roads have enhanced its propagation in Italy. We propose a new simple model of propagation of epidemics which exhibits this effect and allows for a quantitative analysis. The model consists of a classical SIR model with diffusion, to which an additional compartment is added, formed by the infected individuals travelling on a line of fast diffusion. The line and the domain interact by constant exchanges of populations. A classical transformation allows us to reduce the proposed model to a system analogous to one we had previously introduced Berestycki et al. (J Math Biol 66:743-766, 2013) to describe the enhancement of biological invasions by lines of fast diffusion. We establish the existence of a minimal spreading speed, and we show that it may be quite large, even when the basic reproduction number [Formula: see text] is close to 1. We also prove here further qualitative features of the final state, showing the influence of the line.

摘要

长期以来,人们已经知道传染病可以沿着交通线传播,例如道路。在当前的 COVID-19 疫情中,人们观察到主要道路促进了意大利的传播。我们提出了一种新的传染病传播的简单模型,该模型展示了这种效果,并允许进行定量分析。该模型由具有扩散的经典 SIR 模型组成,其中添加了一个附加的隔间,由在线快速扩散的感染者组成。线和域通过人口的恒定交换相互作用。经典的变换允许我们将所提出的模型简化为类似于我们之前介绍的系统 Berestycki 等人(J Math Biol 66:743-766, 2013),以描述由快速扩散线增强生物入侵。我们确定了最小传播速度的存在性,并表明即使基本繁殖数[公式:见文本]接近 1,它也可能非常大。我们还在这里证明了最终状态的进一步定性特征,显示了线的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/38ae51c8adb7/11538_2020_826_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/f97fab1442af/11538_2020_826_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/69e26f53cb28/11538_2020_826_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/9359ccc21da5/11538_2020_826_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/47ecb866c7fc/11538_2020_826_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/38ae51c8adb7/11538_2020_826_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/f97fab1442af/11538_2020_826_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/69e26f53cb28/11538_2020_826_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/9359ccc21da5/11538_2020_826_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/47ecb866c7fc/11538_2020_826_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30ef/7734393/38ae51c8adb7/11538_2020_826_Fig5_HTML.jpg

相似文献

1
Propagation of Epidemics Along Lines with Fast Diffusion.流行病在快速扩散的线路上的传播。
Bull Math Biol. 2020 Dec 14;83(1):2. doi: 10.1007/s11538-020-00826-8.
2
Traveling wave solutions in a two-group SIR epidemic model with constant recruitment.具有恒定招募的两组SIR传染病模型中的行波解
J Math Biol. 2018 Dec;77(6-7):1871-1915. doi: 10.1007/s00285-018-1227-9. Epub 2018 Mar 21.
3
Alternative Strategies for the Estimation of a Disease's Basic Reproduction Number: A Model-Agnostic Study.替代策略估计疾病基本再生数:一种与模型无关的研究。
Bull Math Biol. 2021 Jul 3;83(8):89. doi: 10.1007/s11538-021-00922-3.
4
Global dynamics of COVID-19 epidemic model with recessive infection and isolation.具有隐性感染和隔离的 COVID-19 传染病模型的全球动力学
Math Biosci Eng. 2021 Feb 22;18(2):1833-1844. doi: 10.3934/mbe.2021095.
5
The effect of self-limiting on the prevention and control of the diffuse COVID-19 epidemic with delayed and temporal-spatial heterogeneous.自我限制对延迟和时空异质弥漫性 COVID-19 疫情的预防和控制的影响。
BMC Infect Dis. 2021 Nov 9;21(1):1145. doi: 10.1186/s12879-021-06670-y.
6
A Network Epidemic Model with Preventive Rewiring: Comparative Analysis of the Initial Phase.一种具有预防性重连的网络流行病模型:初始阶段的比较分析
Bull Math Biol. 2016 Dec;78(12):2427-2454. doi: 10.1007/s11538-016-0227-4. Epub 2016 Oct 31.
7
Critical fluctuations in epidemic models explain COVID-19 post-lockdown dynamics.疫情模型中的临界涨落解释了 COVID-19 疫情封锁后的动态变化。
Sci Rep. 2021 Jul 5;11(1):13839. doi: 10.1038/s41598-021-93366-7.
8
On the Threshold of Release of Confinement in an Epidemic SEIR Model Taking into Account the Protective Effect of Mask.考虑口罩保护作用的传染病 SEIR 模型中禁闭解除的门槛。
Bull Math Biol. 2021 Feb 17;83(4):25. doi: 10.1007/s11538-021-00858-8.
9
A non-parametric method for determining epidemiological reproduction numbers.一种用于确定流行病学繁殖数的非参数方法。
J Math Biol. 2021 Mar 15;82(5):37. doi: 10.1007/s00285-021-01590-6.
10
Epidemic Landscape and Forecasting of SARS-CoV-2 in India.印度 SARS-CoV-2 的疫情形势和预测。
J Epidemiol Glob Health. 2021 Mar;11(1):55-59. doi: 10.2991/jegh.k.200823.001. Epub 2020 Aug 28.

引用本文的文献

1
Challenges in the mathematical modeling of the spatial diffusion of SARS-CoV-2 in Chile.智利SARS-CoV-2空间扩散数学建模中的挑战。
Math Biosci Eng. 2025 May 27;22(7):1680-1721. doi: 10.3934/mbe.2025062.
2
The impact of travelling on the COVID-19 infection cases in Germany.旅行对德国 COVID-19 感染病例的影响。
BMC Infect Dis. 2022 May 12;22(1):455. doi: 10.1186/s12879-022-07396-1.
3
Dynamics of epidemic spreading on connected graphs.连通图上的流行病传播动力学。

本文引用的文献

1
Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures.意大利 COVID-19 疫情的传播和动态:紧急遏制措施的影响。
Proc Natl Acad Sci U S A. 2020 May 12;117(19):10484-10491. doi: 10.1073/pnas.2004978117. Epub 2020 Apr 23.
2
Understanding Unreported Cases in the COVID-19 Epidemic Outbreak in Wuhan, China, and the Importance of Major Public Health Interventions.了解中国武汉新冠疫情爆发中的未报告病例以及重大公共卫生干预措施的重要性。
Biology (Basel). 2020 Mar 8;9(3):50. doi: 10.3390/biology9030050.
3
Epidemiological modelling of the 2005 French riots: a spreading wave and the role of contagion.
J Math Biol. 2021 Apr 16;82(6):52. doi: 10.1007/s00285-021-01602-5.
2005 年法国骚乱的流行病学建模:传播波与传染的作用。
Sci Rep. 2018 Jan 8;8(1):107. doi: 10.1038/s41598-017-18093-4.
4
HIV epidemiology. The early spread and epidemic ignition of HIV-1 in human populations.艾滋病毒流行病学。HIV-1 在人类群体中的早期传播和流行引发。
Science. 2014 Oct 3;346(6205):56-61. doi: 10.1126/science.1256739. Epub 2014 Oct 2.
5
Convergence to a pulsating travelling wave for an epidemic reaction-diffusion system with non-diffusive susceptible population.具有非扩散易感人群的流行病反应扩散系统向脉动行波的收敛
J Math Biol. 2014 Sep;69(3):533-52. doi: 10.1007/s00285-013-0713-3. Epub 2013 Jul 25.
6
The influence of a line with fast diffusion on Fisher-KPP propagation.具有快速扩散的直线对Fisher-KPP传播的影响。
J Math Biol. 2013 Mar;66(4-5):743-66. doi: 10.1007/s00285-012-0604-z. Epub 2012 Oct 30.
7
On the definition and the computation of the basic reproduction ratio R0 in models for infectious diseases in heterogeneous populations.关于异质人群中传染病模型基本再生数\(R_0\)的定义与计算
J Math Biol. 1990;28(4):365-82. doi: 10.1007/BF00178324.
8
Thresholds and travelling waves for the geographical spread of infection.感染地理传播的阈值与行波
J Math Biol. 1978 Jul 27;6(2):109-30. doi: 10.1007/BF02450783.