The impact of network clustering and assortativity on epidemic behaviour

Jennifer Badham*, Rob Stocker

*Corresponding author for this work

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

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 (R0) over networks with the highest property values are more than 20% lower than those derived from simulations with zero values of these network properties.

Original languageEnglish
Pages (from-to)71-75
Number of pages5
JournalTheoretical Population Biology
Volume77
Issue number1
DOIs
Publication statusPublished - Feb 2010
Externally publishedYes

Keywords

  • Assortativity
  • Clustering coefficient
  • Disease spread
  • Social networks
  • Transmission networks

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

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