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Epidemic spreading in metapopulation networks with heterogeneous infection rates.

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Title: Epidemic spreading in metapopulation networks with heterogeneous infection rates.
Authors: Gong, Yong-Wang1,2 gong_yw@126.com, Song, Yu-Rong1, Jiang, Guo-Ping1
Source: Physica A. Dec2014, Vol. 416, p208-218. 11p.
Subjects: Infection, Epidemics, Metapopulation (Ecology), Population density, Health behavior, Mean field theory
Abstract: In this paper, we study epidemic spreading in metapopulation networks wherein each node represents a subpopulation symbolizing a city or an urban area and links connecting nodes correspond to the human traveling routes among cities. Differently from previous studies, we introduce a heterogeneous infection rate to characterize the effect of nodes’ local properties, such as population density, individual health habits, and social conditions, on epidemic infectivity. By means of a mean-field approach and Monte Carlo simulations, we explore how the heterogeneity of the infection rate affects the epidemic dynamics, and find that large fluctuations of the infection rate have a profound impact on the epidemic threshold as well as the temporal behavior of the prevalence above the epidemic threshold. This work can refine our understanding of epidemic spreading in metapopulation networks with the effect of nodes’ local properties. [ABSTRACT FROM AUTHOR]
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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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Epidemic spreading in metapopulation networks with heterogeneous infection rates.
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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>. Dec2014, Vol. 416, p208-218. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Infection%22">Infection</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Metapopulation+%28Ecology%29%22">Metapopulation (Ecology)</searchLink><br /><searchLink fieldCode="DE" term="%22Population+density%22">Population density</searchLink><br /><searchLink fieldCode="DE" term="%22Health+behavior%22">Health behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Mean+field+theory%22">Mean field theory</searchLink>
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  Label: Abstract
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  Data: In this paper, we study epidemic spreading in metapopulation networks wherein each node represents a subpopulation symbolizing a city or an urban area and links connecting nodes correspond to the human traveling routes among cities. Differently from previous studies, we introduce a heterogeneous infection rate to characterize the effect of nodes’ local properties, such as population density, individual health habits, and social conditions, on epidemic infectivity. By means of a mean-field approach and Monte Carlo simulations, we explore how the heterogeneity of the infection rate affects the epidemic dynamics, and find that large fluctuations of the infection rate have a profound impact on the epidemic threshold as well as the temporal behavior of the prevalence above the epidemic threshold. This work can refine our understanding of epidemic spreading in metapopulation networks with the effect of nodes’ local properties. [ABSTRACT FROM AUTHOR]
– 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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      – Type: doi
        Value: 10.1016/j.physa.2014.08.056
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 208
    Subjects:
      – SubjectFull: Infection
        Type: general
      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: Metapopulation (Ecology)
        Type: general
      – SubjectFull: Population density
        Type: general
      – SubjectFull: Health behavior
        Type: general
      – SubjectFull: Mean field theory
        Type: general
    Titles:
      – TitleFull: Epidemic spreading in metapopulation networks with heterogeneous infection rates.
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              Text: Dec2014
              Type: published
              Y: 2014
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              Value: 416
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