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Analysis of epidemic spreading process in multi-communities

In practice, an epidemic might be spreading among multi-communities; while the communities are usually intra-connected. In this manuscript, each community is modeled as a multiplex network (i.e., virtual layer and physical one). The connections inside certain community are referred as inter-contacts...

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Autores principales: Zhu, Peican, Wang, Xing, Zhi, Qiang, Ma, Jiezhong, Guo, Yangming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127586/
https://www.ncbi.nlm.nih.gov/pubmed/32288353
http://dx.doi.org/10.1016/j.chaos.2018.02.007
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author Zhu, Peican
Wang, Xing
Zhi, Qiang
Ma, Jiezhong
Guo, Yangming
author_facet Zhu, Peican
Wang, Xing
Zhi, Qiang
Ma, Jiezhong
Guo, Yangming
author_sort Zhu, Peican
collection PubMed
description In practice, an epidemic might be spreading among multi-communities; while the communities are usually intra-connected. In this manuscript, each community is modeled as a multiplex network (i.e., virtual layer and physical one). The connections inside certain community are referred as inter-contacts while the intra-contacts denote the connections among communities. For the epidemic spreading process, the traditional susceptible-infected-recovered (SIR) model is adopted. Then, corresponding state transition trees are determined and simulations are conducted to study the epidemic spreading process in multi-communities. Here, the effect of incorporating virtual layer on the range of individual affected by the epidemic is pursued. As illustrated, multi-summits are incurred if the spreading in multi-communities is considered; furthermore, the disparity between summits varies. This is affected by various factors. As indicated, the incorporation of virtual layer is capable of reducing the proportion of individuals being affected; moreover, disparity of different summits is likely to be increased regarding with scenarios of excluding virtual layer. Furthermore, the summit is likely to be postponed if virtual layer is incorporated.
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spelling pubmed-71275862020-04-08 Analysis of epidemic spreading process in multi-communities Zhu, Peican Wang, Xing Zhi, Qiang Ma, Jiezhong Guo, Yangming Chaos Solitons Fractals Frontiers In practice, an epidemic might be spreading among multi-communities; while the communities are usually intra-connected. In this manuscript, each community is modeled as a multiplex network (i.e., virtual layer and physical one). The connections inside certain community are referred as inter-contacts while the intra-contacts denote the connections among communities. For the epidemic spreading process, the traditional susceptible-infected-recovered (SIR) model is adopted. Then, corresponding state transition trees are determined and simulations are conducted to study the epidemic spreading process in multi-communities. Here, the effect of incorporating virtual layer on the range of individual affected by the epidemic is pursued. As illustrated, multi-summits are incurred if the spreading in multi-communities is considered; furthermore, the disparity between summits varies. This is affected by various factors. As indicated, the incorporation of virtual layer is capable of reducing the proportion of individuals being affected; moreover, disparity of different summits is likely to be increased regarding with scenarios of excluding virtual layer. Furthermore, the summit is likely to be postponed if virtual layer is incorporated. Elsevier Ltd. 2018-04 2018-03-20 /pmc/articles/PMC7127586/ /pubmed/32288353 http://dx.doi.org/10.1016/j.chaos.2018.02.007 Text en © 2018 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Frontiers
Zhu, Peican
Wang, Xing
Zhi, Qiang
Ma, Jiezhong
Guo, Yangming
Analysis of epidemic spreading process in multi-communities
title Analysis of epidemic spreading process in multi-communities
title_full Analysis of epidemic spreading process in multi-communities
title_fullStr Analysis of epidemic spreading process in multi-communities
title_full_unstemmed Analysis of epidemic spreading process in multi-communities
title_short Analysis of epidemic spreading process in multi-communities
title_sort analysis of epidemic spreading process in multi-communities
topic Frontiers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7127586/
https://www.ncbi.nlm.nih.gov/pubmed/32288353
http://dx.doi.org/10.1016/j.chaos.2018.02.007
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