Eames, Ken T. D.. (2008) Modelling disease spread through random and regular contacts in clustered populations. Theoretical Population Biology , Vol.73 (No.1). pp. 104-111. ISSN 0040-5809

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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:	Journal Article
Subjects:	Q Science > QA Mathematics R Medicine > RA Public aspects of medicine
Divisions:	Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH):	Epidemics -- Mathematical models, Epidemiology -- Mathematical models, Epidemiology -- Statistical methods, Approximation theory, Communicable diseases -- Transmission -- Mathematical models
Journal or Publication Title:	Theoretical Population Biology
Publisher:	Academic Press
ISSN:	0040-5809
Date:	February 2008
Volume:	Vol.73
Number:	No.1
Number of Pages:	8
Page Range:	pp. 104-111
Identification Number:	10.1016/j.tpb.2007.09.007
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Funder:	Engineering and Physical Sciences Research Council (EPSRC), Emmanuel College (University of Cambridge)
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URI:	http://wrap.warwick.ac.uk/id/eprint/30532

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