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Social contacts and the locations in which they occur as risk factors for influenza infection

The interaction of human social behaviour and transmission is an intriguing aspect of the life cycle of respiratory viral infections. Although age-specific mixing patterns are often assumed to be the key drivers of the age-specific heterogeneity in transmission, the association between social contac...

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Autores principales: Kwok, Kin O., Cowling, Benjamin J., Wei, Vivian W. I., Wu, Kendra M., Read, Jonathan M., Lessler, Justin, Cummings, Derek A., Peiris, J. S. Malik, Riley, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100506/
https://www.ncbi.nlm.nih.gov/pubmed/25009062
http://dx.doi.org/10.1098/rspb.2014.0709
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author Kwok, Kin O.
Cowling, Benjamin J.
Wei, Vivian W. I.
Wu, Kendra M.
Read, Jonathan M.
Lessler, Justin
Cummings, Derek A.
Peiris, J. S. Malik
Riley, Steven
author_facet Kwok, Kin O.
Cowling, Benjamin J.
Wei, Vivian W. I.
Wu, Kendra M.
Read, Jonathan M.
Lessler, Justin
Cummings, Derek A.
Peiris, J. S. Malik
Riley, Steven
author_sort Kwok, Kin O.
collection PubMed
description The interaction of human social behaviour and transmission is an intriguing aspect of the life cycle of respiratory viral infections. Although age-specific mixing patterns are often assumed to be the key drivers of the age-specific heterogeneity in transmission, the association between social contacts and biologically confirmed infection has not previously been tested at the individual level. We administered a questionnaire to participants in a longitudinal cohort survey of influenza in which infection was defined by longitudinal paired serology. Using a variety of statistical approaches, we found overwhelming support for the inclusion of individual age in addition to contact variables when explaining odds of infection: the best model not including age explained only 15.7% of the deviance, whereas the best model with age explained 23.6%. However, within age groups, we did observe an association between contacts, locations and infection: median numbers of contacts (or locations) reported by those infected were higher than those from the uninfected group in every age group other than the youngest. Further, we found some support for the retention of location and contact variables in addition to age in our regression models, with excess odds of infection of approximately 10% per additional 10 contacts or one location. These results suggest that, although the relationship between age and incidence of respiratory infection at the level of the individual is not driven by self-reported social contacts, risk within an age group may be.
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spelling pubmed-41005062014-08-22 Social contacts and the locations in which they occur as risk factors for influenza infection Kwok, Kin O. Cowling, Benjamin J. Wei, Vivian W. I. Wu, Kendra M. Read, Jonathan M. Lessler, Justin Cummings, Derek A. Peiris, J. S. Malik Riley, Steven Proc Biol Sci Research Articles The interaction of human social behaviour and transmission is an intriguing aspect of the life cycle of respiratory viral infections. Although age-specific mixing patterns are often assumed to be the key drivers of the age-specific heterogeneity in transmission, the association between social contacts and biologically confirmed infection has not previously been tested at the individual level. We administered a questionnaire to participants in a longitudinal cohort survey of influenza in which infection was defined by longitudinal paired serology. Using a variety of statistical approaches, we found overwhelming support for the inclusion of individual age in addition to contact variables when explaining odds of infection: the best model not including age explained only 15.7% of the deviance, whereas the best model with age explained 23.6%. However, within age groups, we did observe an association between contacts, locations and infection: median numbers of contacts (or locations) reported by those infected were higher than those from the uninfected group in every age group other than the youngest. Further, we found some support for the retention of location and contact variables in addition to age in our regression models, with excess odds of infection of approximately 10% per additional 10 contacts or one location. These results suggest that, although the relationship between age and incidence of respiratory infection at the level of the individual is not driven by self-reported social contacts, risk within an age group may be. The Royal Society 2014-08-22 /pmc/articles/PMC4100506/ /pubmed/25009062 http://dx.doi.org/10.1098/rspb.2014.0709 Text en http://creativecommons.org/licenses/by/3.0/ © 2014 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Research Articles
Kwok, Kin O.
Cowling, Benjamin J.
Wei, Vivian W. I.
Wu, Kendra M.
Read, Jonathan M.
Lessler, Justin
Cummings, Derek A.
Peiris, J. S. Malik
Riley, Steven
Social contacts and the locations in which they occur as risk factors for influenza infection
title Social contacts and the locations in which they occur as risk factors for influenza infection
title_full Social contacts and the locations in which they occur as risk factors for influenza infection
title_fullStr Social contacts and the locations in which they occur as risk factors for influenza infection
title_full_unstemmed Social contacts and the locations in which they occur as risk factors for influenza infection
title_short Social contacts and the locations in which they occur as risk factors for influenza infection
title_sort social contacts and the locations in which they occur as risk factors for influenza infection
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4100506/
https://www.ncbi.nlm.nih.gov/pubmed/25009062
http://dx.doi.org/10.1098/rspb.2014.0709
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