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Time-varying human mobility patterns with metapopulation epidemic dynamics.

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Title: Time-varying human mobility patterns with metapopulation epidemic dynamics.
Authors: Gong, Yong-Wang1,2 gong_yw@126.com, Song, Yu-Rong1, Jiang, Guo-Ping1
Source: Physica A. Oct2013, Vol. 392 Issue 19, p4242-4251. 10p.
Subjects: Time-varying systems, Metapopulation (Ecology), Epidemics, Mean field theory, Heterogeneous computing, Population
Abstract: Abstract: In this paper, explicitly considering the influences of an epidemic outbreak on human travel, a time-varying human mobility pattern is introduced to model the time variation of global human travel. The impacts of the pattern on epidemic dynamics in heterogeneous metapopulation networks, wherein each node represents a subpopulation with any number of individuals, are investigated by using a mean-field approach. The results show that the pattern does not alter the epidemic threshold, but can slightly lower the final average density of infected individuals as a whole. More importantly, we also find that the pattern produces different impacts on nodes with different degree, and that there exists a critical degree . For nodes with degree smaller than , the pattern produces a positive impact on epidemic mitigation; conversely, for nodes with degree larger than , the pattern produces a negative impact on epidemic mitigation. [Copyright &y& Elsevier]
Copyright of Physica A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 89345247
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Time-varying human mobility patterns with metapopulation epidemic dynamics.
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  Data: <searchLink fieldCode="AR" term="%22Gong%2C+Yong-Wang%22">Gong, Yong-Wang</searchLink><relatesTo>1,2</relatesTo><i> gong_yw@126.com</i><br /><searchLink fieldCode="AR" term="%22Song%2C+Yu-Rong%22">Song, Yu-Rong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Jiang%2C+Guo-Ping%22">Jiang, Guo-Ping</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Physica+A%22">Physica A</searchLink>. Oct2013, Vol. 392 Issue 19, p4242-4251. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Time-varying+systems%22">Time-varying systems</searchLink><br /><searchLink fieldCode="DE" term="%22Metapopulation+%28Ecology%29%22">Metapopulation (Ecology)</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Mean+field+theory%22">Mean field theory</searchLink><br /><searchLink fieldCode="DE" term="%22Heterogeneous+computing%22">Heterogeneous computing</searchLink><br /><searchLink fieldCode="DE" term="%22Population%22">Population</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract: In this paper, explicitly considering the influences of an epidemic outbreak on human travel, a time-varying human mobility pattern is introduced to model the time variation of global human travel. The impacts of the pattern on epidemic dynamics in heterogeneous metapopulation networks, wherein each node represents a subpopulation with any number of individuals, are investigated by using a mean-field approach. The results show that the pattern does not alter the epidemic threshold, but can slightly lower the final average density of infected individuals as a whole. More importantly, we also find that the pattern produces different impacts on nodes with different degree, and that there exists a critical degree . For nodes with degree smaller than , the pattern produces a positive impact on epidemic mitigation; conversely, for nodes with degree larger than , the pattern produces a negative impact on epidemic mitigation. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Physica A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.physa.2013.05.028
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 4242
    Subjects:
      – SubjectFull: Time-varying systems
        Type: general
      – SubjectFull: Metapopulation (Ecology)
        Type: general
      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: Mean field theory
        Type: general
      – SubjectFull: Heterogeneous computing
        Type: general
      – SubjectFull: Population
        Type: general
    Titles:
      – TitleFull: Time-varying human mobility patterns with metapopulation epidemic dynamics.
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            NameFull: Gong, Yong-Wang
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            NameFull: Song, Yu-Rong
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            – D: 01
              M: 10
              Text: Oct2013
              Type: published
              Y: 2013
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              Value: 392
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