Modelling disease spread through random and regular contacts in clustered populations
Modelling disease spread through random and regular contacts in clustered populations
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DOI：
10.1016/j.tpb.2007.09.007
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发表时间：
2008-02-01
影响因子：
1.4
通讯作者：
Eames, K. T. D.
中科院分区：
文献类型：
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作者：
Eames, K. T. D.
通过定期、重复的接触网络传播的流行病与通过随机相互作用传播的流行病表现不同：定期接触有助于降低流行病的速度和最终规模。本文利用一个数学模型，探讨了规则和随机接触之间的差异，特别是考虑到集群内的接触网络的影响。在聚集的人群中，随机接触的影响要大得多，使感染能够到达网络的某些部分，否则这些部分将无法到达。当所有的接触都是有规律的时候，聚集大大减少了感染的传播;这种效果被少量的随机接触所抵消。(C)2007年爱思唯尔公司All rights reserved.
An epidemic spreading through a network of regular, repeated, contacts behaves differently from one that is spread by random interactions: regular contacts serve to reduce the speed and eventual size of an epidemic. This paper uses a mathematical model to explore the difference between regular and random contacts, considering particularly the effect of clustering within the contact network. In a clustered population random contacts have a much greater impact, allowing infection to reach parts of the network that would otherwise be inaccessible. When all contacts are regular, clustering greatly reduces the spread of infection; this effect is negated by a small number of random contacts. (C) 2007 Elsevier Inc. All rights reserved.