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EPIDEMIC SPREADING IN A COMPLEX NETWORK.

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Title: EPIDEMIC SPREADING IN A COMPLEX NETWORK.
Authors: MINGFENG HE1 mfhe@dlut.edu.cn, BIN WANG2, XINHUA XIAO3, LEI SUN4
Source: International Journal of Modern Physics C: Computational Physics & Physical Computation. Sep2007, Vol. 18 Issue 9, p1453-1458. 6p. 4 Graphs.
Subjects: Epidemics, Cluster grouping, Infection prevention, Etiology of diseases, Health behavior, Epidemiology
Abstract: In this paper, a complex network is constructed as comprising "clusters" which can be interpreted as a group of people with regular contacts. In each "cluster" individuals contact fully. A given individual contact individuals in other "clusters" by links. Then we study the dynamical behavior of the epidemiological model in this complex network, and discuss the influence of the intra-cluster infection probability, the extra-cluster infection probability, and infection time before being detected on epidemic dynamics. The results show that extra-cluster infection reduction, early detection and swift isolation are good infection control practices. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company 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
An: 27176413
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: EPIDEMIC SPREADING IN A COMPLEX NETWORK.
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  Data: <searchLink fieldCode="AR" term="%22MINGFENG+HE%22">MINGFENG HE</searchLink><relatesTo>1</relatesTo><i> mfhe@dlut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22BIN+WANG%22">BIN WANG</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22XINHUA+XIAO%22">XINHUA XIAO</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22LEI+SUN%22">LEI SUN</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Modern+Physics+C%3A+Computational+Physics+%26+Physical+Computation%22">International Journal of Modern Physics C: Computational Physics & Physical Computation</searchLink>. Sep2007, Vol. 18 Issue 9, p1453-1458. 6p. 4 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+grouping%22">Cluster grouping</searchLink><br /><searchLink fieldCode="DE" term="%22Infection+prevention%22">Infection prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Etiology+of+diseases%22">Etiology of diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Health+behavior%22">Health behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology%22">Epidemiology</searchLink>
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  Data: In this paper, a complex network is constructed as comprising "clusters" which can be interpreted as a group of people with regular contacts. In each "cluster" individuals contact fully. A given individual contact individuals in other "clusters" by links. Then we study the dynamical behavior of the epidemiological model in this complex network, and discuss the influence of the intra-cluster infection probability, the extra-cluster infection probability, and infection time before being detected on epidemic dynamics. The results show that extra-cluster infection reduction, early detection and swift isolation are good infection control practices. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Modern Physics C: Computational Physics & Physical Computation is the property of World Scientific Publishing Company 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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      – Type: doi
        Value: 10.1142/S0129183107011522
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      – Code: eng
        Text: English
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        PageCount: 6
        StartPage: 1453
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      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: Cluster grouping
        Type: general
      – SubjectFull: Infection prevention
        Type: general
      – SubjectFull: Etiology of diseases
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      – SubjectFull: Health behavior
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      – SubjectFull: Epidemiology
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      – TitleFull: EPIDEMIC SPREADING IN A COMPLEX NETWORK.
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            NameFull: MINGFENG HE
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            NameFull: BIN WANG
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            NameFull: XINHUA XIAO
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            NameFull: LEI SUN
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          Dates:
            – D: 01
              M: 09
              Text: Sep2007
              Type: published
              Y: 2007
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              Value: 18
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              Value: 9
          Titles:
            – TitleFull: International Journal of Modern Physics C: Computational Physics & Physical Computation
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