The impact of contact tracing in clustered populations.

The tracing of potentially infectious contacts has become an important part of the control strategy for many infectious diseases, from early cases of novel infections to endemic sexually transmitted infections. Here, we make use of mathematical models to consider the case of partner notification for...

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Autores principales:	Thomas House, Matt J Keeling
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/91feb95655154cad8126db58b9f65d44
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spelling	oai:doaj.org-article:91feb95655154cad8126db58b9f65d442021-12-02T19:57:53ZThe impact of contact tracing in clustered populations.1553-734X1553-735810.1371/journal.pcbi.1000721https://doaj.org/article/91feb95655154cad8126db58b9f65d442010-03-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20361048/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358The tracing of potentially infectious contacts has become an important part of the control strategy for many infectious diseases, from early cases of novel infections to endemic sexually transmitted infections. Here, we make use of mathematical models to consider the case of partner notification for sexually transmitted infection, however these models are sufficiently simple to allow more general conclusions to be drawn. We show that, when contact network structure is considered in addition to contact tracing, standard "mass action" models are generally inadequate. To consider the impact of mutual contacts (specifically clustering) we develop an improvement to existing pairwise network models, which we use to demonstrate that ceteris paribus, clustering improves the efficacy of contact tracing for a large region of parameter space. This result is sometimes reversed, however, for the case of highly effective contact tracing. We also develop stochastic simulations for comparison, using simple re-wiring methods that allow the generation of appropriate comparator networks. In this way we contribute to the general theory of network-based interventions against infectious disease.Thomas HouseMatt J KeelingPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 3, p e1000721 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Thomas House Matt J Keeling The impact of contact tracing in clustered populations.
description	The tracing of potentially infectious contacts has become an important part of the control strategy for many infectious diseases, from early cases of novel infections to endemic sexually transmitted infections. Here, we make use of mathematical models to consider the case of partner notification for sexually transmitted infection, however these models are sufficiently simple to allow more general conclusions to be drawn. We show that, when contact network structure is considered in addition to contact tracing, standard "mass action" models are generally inadequate. To consider the impact of mutual contacts (specifically clustering) we develop an improvement to existing pairwise network models, which we use to demonstrate that ceteris paribus, clustering improves the efficacy of contact tracing for a large region of parameter space. This result is sometimes reversed, however, for the case of highly effective contact tracing. We also develop stochastic simulations for comparison, using simple re-wiring methods that allow the generation of appropriate comparator networks. In this way we contribute to the general theory of network-based interventions against infectious disease.
format	article
author	Thomas House Matt J Keeling
author_facet	Thomas House Matt J Keeling
author_sort	Thomas House
title	The impact of contact tracing in clustered populations.
title_short	The impact of contact tracing in clustered populations.
title_full	The impact of contact tracing in clustered populations.
title_fullStr	The impact of contact tracing in clustered populations.
title_full_unstemmed	The impact of contact tracing in clustered populations.
title_sort	impact of contact tracing in clustered populations.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/91feb95655154cad8126db58b9f65d44
work_keys_str_mv	AT thomashouse theimpactofcontacttracinginclusteredpopulations AT mattjkeeling theimpactofcontacttracinginclusteredpopulations AT thomashouse impactofcontacttracinginclusteredpopulations AT mattjkeeling impactofcontacttracinginclusteredpopulations
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The impact of contact tracing in clustered populations.

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