Modelling disease spread through random and regular contacts in clustered populations


Eames, KTD; (2008) Modelling disease spread through random and regular contacts in clustered populations. Theoretical population biology, 73. pp. 104-111. ISSN 0040-5809 DOI: https://doi.org/10.1016/j.tpb.2007.09.007

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Abstract

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.

Item Type: Article
Keywords: Disease Transmission, statistics & numerical data, Great Britain, Humans, Models, Statistical, Population Density, Social Environment
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology
PubMed ID: 18006032
Web of Science ID: 253339100008
URI: http://researchonline.lshtm.ac.uk/id/eprint/6934

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