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重新布线策略能否控制疫情传播？

Can rewiring strategy control the epidemic spreading?

作者信息

Dong Chao, Yin Qiuju, Liu Wenyang, Yan Zhijun, Shi Tianyu

机构信息

School of Management & Economics, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Physica A. 2015 Nov 15;438:169-177. doi: 10.1016/j.physa.2015.06.037. Epub 2015 Jul 9.

DOI:10.1016/j.physa.2015.06.037
PMID:32288093
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7126863/
Abstract

Relation existed in the social contact network can affect individuals' behaviors greatly. Considering the diversity of relation intimacy among network nodes, an epidemic propagation model is proposed by incorporating the link-breaking threshold, which is normally neglected in the rewiring strategy. The impact of rewiring strategy on the epidemic spreading in the weighted adaptive network is explored. The results show that the rewiring strategy cannot always control the epidemic prevalence, especially when the link-breaking threshold is low. Meanwhile, as well as strong links, weak links also play a significant role on epidemic spreading.

摘要

社会接触网络中存在的关系会极大地影响个体行为。考虑到网络节点间关系亲密度的多样性，通过纳入链路断裂阈值提出了一种流行病传播模型，该阈值在重连策略中通常被忽视。研究了重连策略对加权自适应网络中流行病传播的影响。结果表明，重连策略并非总能控制流行病的流行，尤其是当链路断裂阈值较低时。同时，与强连接一样，弱连接在流行病传播中也起着重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/bdccc05fb4cc/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/0fa45162cdd6/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/5152e576165a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/be09a10e96d0/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/97920dcc9602/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/4df6225576df/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/bbdc3f214229/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/e2e072feb7fc/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/bdccc05fb4cc/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/0fa45162cdd6/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/5152e576165a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/be09a10e96d0/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/97920dcc9602/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/4df6225576df/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/bbdc3f214229/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/e2e072feb7fc/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c58/7126863/bdccc05fb4cc/gr8.jpg

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本文引用的文献

1
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Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Nov;90(5-1):052806. doi: 10.1103/PhysRevE.90.052806. Epub 2014 Nov 11.
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Epidemic spreading on complex networks with general degree and weight distributions.具有一般度和权重分布的复杂网络上的流行病传播
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Effects of behavioral response and vaccination policy on epidemic spreading--an approach based on evolutionary-game dynamics.
接触模式对疫情动态的影响。
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Epidemic threshold and topological structure of susceptible-infectious-susceptible epidemics in adaptive networks.自适应网络中易感-感染-易感流行病的流行阈值和拓扑结构
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Evolutionary vaccination dilemma in complex networks.复杂网络中的进化疫苗接种困境
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Impacts of subsidy policies on vaccination decisions in contact networks.补贴政策对接触网络中疫苗接种决策的影响。
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Non-Markovian infection spread dramatically alters the susceptible-infected-susceptible epidemic threshold in networks.非马尔可夫感染传播极大地改变了网络中的易感染-感染-易感染传染病阈值。
Phys Rev Lett. 2013 Mar 8;110(10):108701. doi: 10.1103/PhysRevLett.110.108701. Epub 2013 Mar 5.
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J Theor Biol. 2013 Jan 21;317:133-9. doi: 10.1016/j.jtbi.2012.09.036. Epub 2012 Oct 9.
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