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The impact of network clustering and assortativity on epidemic behaviour

Badham, J and Stocker, R (2010) The impact of network clustering and assortativity on epidemic behaviour Theoretical Population Biology, 77 (1). pp. 71-75.

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Epidemic models have successfully included many aspects of the complex contact structure apparent in real-world populations. However, it is difficult to accommodate variations in the number of contacts, clustering coefficient and assortativity. Investigations of the relationship between these properties and epidemic behaviour have led to inconsistent conclusions and have not accounted for their interrelationship. In this study, simulation is used to estimate the impact of social network structure on the probability of an SIR (susceptible-infective-removed) epidemic occurring and, if it does, the final size. Increases in assortativity and clustering coefficient are associated with smaller epidemics and the impact is cumulative. Derived values of the basic reproduction ratio (R0R0) over networks with the highest property values are more than 20% lower than those derived from simulations with zero values of these network properties.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Sociology
Authors :
Badham, J
Stocker, R
Date : February 2010
DOI : 10.1016/j.tpb.2009.11.003
Related URLs :
Additional Information : Notice: This is the author’s version of a work that was accepted for publication in <Theoretical Population Biology> Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definite version was subsequently published in Theoretical Population Biology, 77 (1), 71-75, February 2010. DOI: 10.1016/j.tpb.2009.11.003
Depositing User : Symplectic Elements
Date Deposited : 05 Jun 2013 15:45
Last Modified : 31 Oct 2017 15:06

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