Kiss, Istvan Z, Green, Darren M and Kao, Rowland R (2005) Disease contact tracing in random and clustered networks. Proceedings B: Biological Sciences, 272 (1570). pp. 1407-1414. ISSN 1471-2954

Full text not available from this repository.

Abstract

The efficacy of contact tracing, be it between individuals (e.g. sexually transmitted diseases or severe acute respiratory syndrome) or between groups of individuals (e.g. foot-and-mouth disease; FMD), is difficult to evaluate without precise knowledge of the underlying contact structure; i.e. who is connected to whom? Motivated by the 2001 FMD epidemic in the UK, we determine, using stochastic simulations and deterministic 'moment closure' models of disease transmission on networks of premises (nodes), network and disease properties that are important for contact tracing efficiency. For random networks with a high average number of connections per node, little clustering of connections and short latency periods, contact tracing is typically ineffective. In this case, isolation of infected nodes is the dominant factor in determining disease epidemic size and duration. If the latency period is longer and the average number of connections per node small, or if the network is spatially clustered, then the contact tracing performs better and an overall reduction in the proportion of nodes that are removed during an epidemic is observed.

Item Type:	Article
Schools and Departments:	School of Mathematical and Physical Sciences > Mathematics
Depositing User:	Istvan Kiss
Date Deposited:	06 Feb 2012 19:07
Last Modified:	22 May 2012 16:01
URI:	http://sro.sussex.ac.uk/id/eprint/19304

📧 Request an update