Modelling disease spread through random and regular contacts in clustered populations
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 0040-5809Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.tpb.2007.09.007
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|
|Official Date:||February 2008|
|Number of Pages:||8|
|Page Range:||pp. 104-111|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||Engineering and Physical Sciences Research Council (EPSRC), Emmanuel College (University of Cambridge)|
Anderson, R.M., May, R.M., 1992. Infectious Diseases of Humans.
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