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The impact of contact patterns on epidemic dynamics

In social networks, individuals have relationships with their neighbor nodes (acquaintance contacts) and also randomly contact other nodes without direct links (stranger contacts). However, these two types of contact patterns are rarely considered together. In this paper, we propose a modified SIS (...

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Detalles Bibliográficos
Autores principales: Yin, Qiuju, Shi, Tianyu, Dong, Chao, Yan, Zhijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349474/
https://www.ncbi.nlm.nih.gov/pubmed/28291800
http://dx.doi.org/10.1371/journal.pone.0173411
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author Yin, Qiuju
Shi, Tianyu
Dong, Chao
Yan, Zhijun
author_facet Yin, Qiuju
Shi, Tianyu
Dong, Chao
Yan, Zhijun
author_sort Yin, Qiuju
collection PubMed
description In social networks, individuals have relationships with their neighbor nodes (acquaintance contacts) and also randomly contact other nodes without direct links (stranger contacts). However, these two types of contact patterns are rarely considered together. In this paper, we propose a modified SIS (Susceptible-Infected-Susceptible) model in which a node not only contacts neighbor nodes but also randomly contacts other nodes in the network. We implement the model on a scale-free network and study the influence of different types of contact patterns on epidemic dynamics as well as three possible strategies people adopt when disease outbreaks. The results show that a greater preference for acquaintance contacts makes a disease outbreak less likely. Moreover, the best protective strategy to control the disease is to adjust both the contact number and the contact pattern. In addition, the epidemic is more likely to be controlled when individuals take more information into consideration.
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spelling pubmed-53494742017-04-06 The impact of contact patterns on epidemic dynamics Yin, Qiuju Shi, Tianyu Dong, Chao Yan, Zhijun PLoS One Research Article In social networks, individuals have relationships with their neighbor nodes (acquaintance contacts) and also randomly contact other nodes without direct links (stranger contacts). However, these two types of contact patterns are rarely considered together. In this paper, we propose a modified SIS (Susceptible-Infected-Susceptible) model in which a node not only contacts neighbor nodes but also randomly contacts other nodes in the network. We implement the model on a scale-free network and study the influence of different types of contact patterns on epidemic dynamics as well as three possible strategies people adopt when disease outbreaks. The results show that a greater preference for acquaintance contacts makes a disease outbreak less likely. Moreover, the best protective strategy to control the disease is to adjust both the contact number and the contact pattern. In addition, the epidemic is more likely to be controlled when individuals take more information into consideration. Public Library of Science 2017-03-14 /pmc/articles/PMC5349474/ /pubmed/28291800 http://dx.doi.org/10.1371/journal.pone.0173411 Text en © 2017 Yin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yin, Qiuju
Shi, Tianyu
Dong, Chao
Yan, Zhijun
The impact of contact patterns on epidemic dynamics
title The impact of contact patterns on epidemic dynamics
title_full The impact of contact patterns on epidemic dynamics
title_fullStr The impact of contact patterns on epidemic dynamics
title_full_unstemmed The impact of contact patterns on epidemic dynamics
title_short The impact of contact patterns on epidemic dynamics
title_sort impact of contact patterns on epidemic dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5349474/
https://www.ncbi.nlm.nih.gov/pubmed/28291800
http://dx.doi.org/10.1371/journal.pone.0173411
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