Literature DB >> 23005164

Epidemics on interconnected networks.

Mark Dickison1, S Havlin, H E Stanley.   

Abstract

Populations are seldom completely isolated from their environment. Individuals in a particular geographic or social region may be considered a distinct network due to strong local ties but will also interact with individuals in other networks. We study the susceptible-infected-recovered process on interconnected network systems and find two distinct regimes. In strongly coupled network systems, epidemics occur simultaneously across the entire system at a critical infection strength β(c), below which the disease does not spread. In contrast, in weakly coupled network systems, a mixed phase exists below β(c) of the coupled network system, where an epidemic occurs in one network but does not spread to the coupled network. We derive an expression for the network and disease parameters that allow this mixed phase and verify it numerically. Public health implications of communities comprising these two classes of network systems are also mentioned.

Entities:  

Mesh:

Year:  2012        PMID: 23005164     DOI: 10.1103/PhysRevE.85.066109

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  43 in total

1.  Navigability of interconnected networks under random failures.

Authors:  Manlio De Domenico; Albert Solé-Ribalta; Sergio Gómez; Alex Arenas
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Review 2.  Coevolution spreading in complex networks.

Authors:  Wei Wang; Quan-Hui Liu; Junhao Liang; Yanqing Hu; Tao Zhou
Journal:  Phys Rep       Date:  2019-07-29       Impact factor: 25.600

Review 3.  The structure and dynamics of multilayer networks.

Authors:  S Boccaletti; G Bianconi; R Criado; C I Del Genio; J Gómez-Gardeñes; M Romance; I Sendiña-Nadal; Z Wang; M Zanin
Journal:  Phys Rep       Date:  2014-07-10       Impact factor: 25.600

4.  Modelling Singapore COVID-19 pandemic with a SEIR multiplex network model.

Authors:  N N Chung; L Y Chew
Journal:  Sci Rep       Date:  2021-05-12       Impact factor: 4.379

5.  Hierarchical effects facilitate spreading processes on synthetic and empirical multilayer networks.

Authors:  Casey Doyle; Thushara Gunda; Asmeret Naugle
Journal:  PLoS One       Date:  2021-06-09       Impact factor: 3.240

6.  Integrated travel network model for studying epidemics: Interplay between journeys and epidemic.

Authors:  Zhongyuan Ruan; Chaoqing Wang; Pak Ming Hui; Zonghua Liu
Journal:  Sci Rep       Date:  2015-06-15       Impact factor: 4.379

7.  Epidemic Model with Isolation in Multilayer Networks.

Authors:  L G Alvarez Zuzek; H E Stanley; L A Braunstein
Journal:  Sci Rep       Date:  2015-07-15       Impact factor: 4.379

8.  Emergence of blind areas in information spreading.

Authors:  Zi-Ke Zhang; Chu-Xu Zhang; Xiao-Pu Han; Chuang Liu
Journal:  PLoS One       Date:  2014-04-24       Impact factor: 3.240

9.  Network Interconnectivity and Community Detection in HIV/Syphilis Contact Networks Among Men Who Have Sex With Men.

Authors:  Rachael M Billock; Peter J Mucha; Erika Samoff; Ann M Dennis; Brian W Pence; Jennifer L Lund; Kimberly A Powers
Journal:  Sex Transm Dis       Date:  2020-11       Impact factor: 3.868

10.  Non-periodic outbreaks of recurrent epidemics and its network modelling.

Authors:  Muhua Zheng; Chaoqing Wang; Jie Zhou; Ming Zhao; Shuguang Guan; Yong Zou; Zonghua Liu
Journal:  Sci Rep       Date:  2015-11-02       Impact factor: 4.379

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