• 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

安全信息驱动的具有亚群传染病动力学的人类移动模式。

Safety-information-driven human mobility patterns with metapopulation epidemic dynamics.

机构信息

Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan.

出版信息

Sci Rep. 2012;2:887. doi: 10.1038/srep00887. Epub 2012 Nov 27.

DOI:10.1038/srep00887
PMID:23189237
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3507136/
Abstract

With the help of mass media, people receive information concerning the status of an infectious disease to guide their mobility. Herein, we develop a theoretical framework to investigate the safety-information-driven human mobility with metapopulation epidemic dynamics. Individuals respond to the safety information of a city by taking safe moves (passing cities with a more number of healthy individuals) or unsafe moves (passing cities with a less number of healthy individuals). Our findings show that the critical threshold depends on mobility in such a way that personal execution of safe moves unexpectedly promotes the global spread of a disease, while unsafe moves counterintuitively cause a locally, relatively small outbreak size. Our analysis underlines the role of safety consideration in the spatial spread of an infectious disease with clear implications for the model of mobility driven by individuals' benefit.

摘要

借助大众媒体,人们可以获取有关传染病状况的信息,以指导他们的行动。在此,我们建立了一个理论框架,用于研究具有人口流行动力学的安全信息驱动的人类移动性。个体通过采取安全行动(经过健康个体人数较多的城市)或不安全行动(经过健康个体人数较少的城市)来响应城市的安全信息。我们的研究结果表明,关键阈值取决于移动性,个人采取安全行动出人意料地促进了疾病的全球传播,而不安全行动则反直觉地导致局部地区的爆发规模相对较小。我们的分析强调了安全考虑在传染病空间传播中的作用,这对个人利益驱动的移动性模型具有明确的意义。

相似文献

1
Safety-information-driven human mobility patterns with metapopulation epidemic dynamics.安全信息驱动的具有亚群传染病动力学的人类移动模式。
Sci Rep. 2012;2:887. doi: 10.1038/srep00887. Epub 2012 Nov 27.
2
Human mobility patterns predict divergent epidemic dynamics among cities.人类流动模式可预测城市间不同的疫情动态。
Proc Biol Sci. 2013 Jul 17;280(1766):20130763. doi: 10.1098/rspb.2013.0763. Print 2013 Sep 7.
3
Human mobility and time spent at destination: impact on spatial epidemic spreading.人口流动与停留时间:对空间传染病传播的影响。
J Theor Biol. 2013 Dec 7;338:41-58. doi: 10.1016/j.jtbi.2013.08.032. Epub 2013 Sep 4.
4
Time-varying human mobility patterns with metapopulation epidemic dynamics.具有集合种群流行病动力学的时变人类流动模式。
Physica A. 2013 Oct 1;392(19):4242-4251. doi: 10.1016/j.physa.2013.05.028. Epub 2013 May 25.
5
Infectious Diseases Spreading on an Adaptive Metapopulation Network.传染病在适应性集合种群网络上的传播
IEEE Access. 2020 Aug 12;8:153425-153435. doi: 10.1109/ACCESS.2020.3016016. eCollection 2020.
6
Metapopulation epidemic models with a universal mobility pattern on interconnected networks.在互联网络上具有通用移动模式的集合种群流行病模型。
Physica A. 2022 Apr 1;591:126692. doi: 10.1016/j.physa.2021.126692. Epub 2021 Dec 20.
7
Epidemiological implications of mobility between a large urban centre and smaller satellite cities.大城市中心与较小卫星城之间人口流动的流行病学影响。
J Math Biol. 2015 Nov;71(5):1243-65. doi: 10.1007/s00285-014-0854-z. Epub 2015 Jan 14.
8
Intervention threshold for epidemic control in susceptible-infected-recovered metapopulation models.易感染-感染-恢复型复合种群模型中的传染病控制干预阈值。
Phys Rev E. 2019 Aug;100(2-1):022302. doi: 10.1103/PhysRevE.100.022302.
9
Modeling epidemic in metapopulation networks with heterogeneous diffusion rates.具有异质扩散率的复合种群网络中的传染病建模。
Math Biosci Eng. 2019 Aug 5;16(6):7085-7097. doi: 10.3934/mbe.2019355.
10
Epidemic modeling in metapopulation systems with heterogeneous coupling pattern: theory and simulations.具有异质耦合模式的集合种群系统中的流行病建模:理论与模拟
J Theor Biol. 2008 Apr 7;251(3):450-67. doi: 10.1016/j.jtbi.2007.11.028. Epub 2007 Nov 29.

引用本文的文献

1
Inference on a Multi-Patch Epidemic Model with Partial Mobility, Residency, and Demography: Case of the 2020 COVID-19 Outbreak in Hermosillo, Mexico.关于具有部分流动性、居住情况和人口统计学特征的多区域流行模型的推断:以2020年墨西哥埃莫西约的COVID-19疫情为例
Entropy (Basel). 2023 Jun 22;25(7):968. doi: 10.3390/e25070968.
2
Infectious Diseases Spreading on an Adaptive Metapopulation Network.传染病在适应性集合种群网络上的传播
IEEE Access. 2020 Aug 12;8:153425-153435. doi: 10.1109/ACCESS.2020.3016016. eCollection 2020.
3
How the individual human mobility spatio-temporally shapes the disease transmission dynamics.

本文引用的文献

1
Heterogeneous length of stay of hosts' movements and spatial epidemic spread.宿主活动的异质停留时间与空间流行病传播。
Sci Rep. 2012;2:476. doi: 10.1038/srep00476. Epub 2012 Jun 27.
2
Modeling human mobility responses to the large-scale spreading of infectious diseases.建模人类对传染病大规模传播的移动响应。
Sci Rep. 2011;1:62. doi: 10.1038/srep00062. Epub 2011 Aug 12.
3
Rendezvous effects in the diffusion process on bipartite metapopulation networks.
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Oct;84(4 Pt 1):041936. doi: 10.1103/PhysRevE.84.041936. Epub 2011 Oct 31.
个体人类移动的时空如何塑造疾病传播动力学。
Sci Rep. 2020 Jul 9;10(1):11325. doi: 10.1038/s41598-020-68230-9.
4
Coupled effects of local movement and global interaction on contagion.局部运动与全局相互作用对传染的耦合效应。
Physica A. 2015 Oct 15;436:482-491. doi: 10.1016/j.physa.2015.05.023. Epub 2015 May 18.
5
Infectious diseases spreading on a metapopulation network coupled with its second-neighbor network.传染病在与其第二邻域网络耦合的集合种群网络上传播。
Appl Math Comput. 2019 Nov 15;361:87-97. doi: 10.1016/j.amc.2019.05.005. Epub 2019 Jun 19.
6
Moment closure of infectious diseases model on heterogeneous metapopulation network.异质集合种群网络上传染病模型的矩量闭包
Adv Differ Equ. 2018;2018(1):339. doi: 10.1186/s13662-018-1801-x. Epub 2018 Sep 24.
7
Spatial epidemiology of networked metapopulation: an overview.网络化集合种群的空间流行病学:综述
Chin Sci Bull. 2014;59(28):3511-3522. doi: 10.1007/s11434-014-0499-8. Epub 2014 Jul 19.
8
Risk assessment of Ebola virus disease spreading in Uganda using a two-layer temporal network.利用双层时间网络评估乌干达埃博拉病毒病的传播风险
Sci Rep. 2019 Nov 5;9(1):16060. doi: 10.1038/s41598-019-52501-1.
9
Intervention threshold for epidemic control in susceptible-infected-recovered metapopulation models.易感染-感染-恢复型复合种群模型中的传染病控制干预阈值。
Phys Rev E. 2019 Aug;100(2-1):022302. doi: 10.1103/PhysRevE.100.022302.
10
Interplay between epidemic spread and information propagation on metapopulation networks.异质种群网络上流行病传播与信息传播之间的相互作用。
J Theor Biol. 2017 May 7;420:18-25. doi: 10.1016/j.jtbi.2017.02.020. Epub 2017 Mar 1.
4
Invasion threshold in structured populations with recurrent mobility patterns.具有复发性迁移模式的结构种群中的入侵阈值。
J Theor Biol. 2012 Jan 21;293:87-100. doi: 10.1016/j.jtbi.2011.10.010. Epub 2011 Oct 19.
5
Phase transitions in contagion processes mediated by recurrent mobility patterns.由反复出现的流动模式介导的传染过程中的相变。
Nat Phys. 2011 Jul 1;7:581-586. doi: 10.1038/nphys1944.
6
Simulation of an SEIR infectious disease model on the dynamic contact network of conference attendees.会议参会者动态接触网络上 SEIR 传染病模型的仿真。
BMC Med. 2011 Jul 19;9:87. doi: 10.1186/1741-7015-9-87.
7
Collective response of human populations to large-scale emergencies.人类群体对大规模紧急情况的集体反应。
PLoS One. 2011 Mar 30;6(3):e17680. doi: 10.1371/journal.pone.0017680.
8
Modeling the spatial spread of infectious diseases: the GLobal Epidemic and Mobility computational model.传染病空间传播建模:全球疫情与流动性计算模型
J Comput Sci. 2010 Aug 1;1(3):132-145. doi: 10.1016/j.jocs.2010.07.002.
9
Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic.人口流动网络、旅行限制与 2009 年 H1N1 大流行的全球传播
PLoS One. 2011 Jan 31;6(1):e16591. doi: 10.1371/journal.pone.0016591.
10
Fluctuation effects in metapopulation models: percolation and pandemic threshold.复群模型中的涨落效应:渗流和大流行阈值。
J Theor Biol. 2010 Dec 21;267(4):554-64. doi: 10.1016/j.jtbi.2010.09.015. Epub 2010 Sep 21.