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Mixing patterns and the spread of close-contact infectious diseases

Surprisingly little is known regarding the human mixing patterns relevant to the spread of close-contact infections, such as measles, influenza and meningococcal disease. This study aims to estimate the number of partnerships that individuals make, their stability and the degree to which mixing is a...

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Detalles Bibliográficos
Autores principales: Edmunds, WJ, Kafatos, G, Wallinga, J, Mossong, JR
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562421/
https://www.ncbi.nlm.nih.gov/pubmed/16907980
http://dx.doi.org/10.1186/1742-7622-3-10
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author Edmunds, WJ
Kafatos, G
Wallinga, J
Mossong, JR
author_facet Edmunds, WJ
Kafatos, G
Wallinga, J
Mossong, JR
author_sort Edmunds, WJ
collection PubMed
description Surprisingly little is known regarding the human mixing patterns relevant to the spread of close-contact infections, such as measles, influenza and meningococcal disease. This study aims to estimate the number of partnerships that individuals make, their stability and the degree to which mixing is assortative with respect to age. We defined four levels of putative at-risk events from casual (physical contact without conversation) to intimate (contact of a sexual nature), and asked university student volunteers to record details on those they contacted at these levels on three separate days. We found that intimate contacts are stable over short time periods whereas there was no evidence of repeat casual contacts with the same individuals. The contacts were increasingly assortative as intimacy increased. Such information will aid the development and parameterisation of models of close contact diseases, and may have direct use in outbreak investigations.
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spelling pubmed-15624212006-09-08 Mixing patterns and the spread of close-contact infectious diseases Edmunds, WJ Kafatos, G Wallinga, J Mossong, JR Emerg Themes Epidemiol Methodology Surprisingly little is known regarding the human mixing patterns relevant to the spread of close-contact infections, such as measles, influenza and meningococcal disease. This study aims to estimate the number of partnerships that individuals make, their stability and the degree to which mixing is assortative with respect to age. We defined four levels of putative at-risk events from casual (physical contact without conversation) to intimate (contact of a sexual nature), and asked university student volunteers to record details on those they contacted at these levels on three separate days. We found that intimate contacts are stable over short time periods whereas there was no evidence of repeat casual contacts with the same individuals. The contacts were increasingly assortative as intimacy increased. Such information will aid the development and parameterisation of models of close contact diseases, and may have direct use in outbreak investigations. BioMed Central 2006-08-14 /pmc/articles/PMC1562421/ /pubmed/16907980 http://dx.doi.org/10.1186/1742-7622-3-10 Text en Copyright © 2006 Edmunds et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Edmunds, WJ
Kafatos, G
Wallinga, J
Mossong, JR
Mixing patterns and the spread of close-contact infectious diseases
title Mixing patterns and the spread of close-contact infectious diseases
title_full Mixing patterns and the spread of close-contact infectious diseases
title_fullStr Mixing patterns and the spread of close-contact infectious diseases
title_full_unstemmed Mixing patterns and the spread of close-contact infectious diseases
title_short Mixing patterns and the spread of close-contact infectious diseases
title_sort mixing patterns and the spread of close-contact infectious diseases
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1562421/
https://www.ncbi.nlm.nih.gov/pubmed/16907980
http://dx.doi.org/10.1186/1742-7622-3-10
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