The contribution of social behaviour to the transmission of influenza A in a human population.

Variability in the risk of transmission for respiratory pathogens can result from several factors, including the intrinsic properties of the pathogen, the immune state of the host and the host's behaviour. It has been proposed that self-reported social mixing patterns can explain the behavioura...

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Autores principales:	Adam J Kucharski, Kin O Kwok, Vivian W I Wei, Benjamin J Cowling, Jonathan M Read, Justin Lessler, Derek A Cummings, Steven Riley
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Immunologic diseases. Allergy RC581-607 Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/9a37d2516d284c43abac00844d391797
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spelling	oai:doaj.org-article:9a37d2516d284c43abac00844d3917972021-11-11T06:06:06ZThe contribution of social behaviour to the transmission of influenza A in a human population.1553-73661553-737410.1371/journal.ppat.1004206https://doaj.org/article/9a37d2516d284c43abac00844d3917972014-06-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24968312/pdf/?tool=EBIhttps://doaj.org/toc/1553-7366https://doaj.org/toc/1553-7374Variability in the risk of transmission for respiratory pathogens can result from several factors, including the intrinsic properties of the pathogen, the immune state of the host and the host's behaviour. It has been proposed that self-reported social mixing patterns can explain the behavioural component of this variability, with simulated intervention studies based on these data used routinely to inform public health policy. However, in the absence of robust studies with biological endpoints for individuals, it is unclear how age and social behaviour contribute to infection risk. To examine how the structure and nature of social contacts influenced infection risk over the course of a single epidemic, we designed a flexible disease modelling framework: the population was divided into a series of increasingly detailed age and social contact classes, with the transmissibility of each age-contact class determined by the average contacts of that class. Fitting the models to serologically confirmed infection data from the 2009 Hong Kong influenza A/H1N1p pandemic, we found that an individual's risk of infection was influenced strongly by the average reported social mixing behaviour of their age group, rather than by their personal reported contacts. We also identified the resolution of social mixing that shaped transmission: epidemic dynamics were driven by intense contacts between children, a post-childhood drop in risky contacts and a subsequent rise in contacts for individuals aged 35-50. Our results demonstrate that self-reported social contact surveys can account for age-associated heterogeneity in the transmission of a respiratory pathogen in humans, and show robustly how these individual-level behaviours manifest themselves through assortative age groups. Our results suggest it is possible to profile the social structure of different populations and to use these aggregated data to predict their inherent transmission potential.Adam J KucharskiKin O KwokVivian W I WeiBenjamin J CowlingJonathan M ReadJustin LesslerDerek A CummingsSteven RileyPublic Library of Science (PLoS)articleImmunologic diseases. AllergyRC581-607Biology (General)QH301-705.5ENPLoS Pathogens, Vol 10, Iss 6, p e1004206 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Immunologic diseases. Allergy RC581-607 Biology (General) QH301-705.5
spellingShingle	Immunologic diseases. Allergy RC581-607 Biology (General) QH301-705.5 Adam J Kucharski Kin O Kwok Vivian W I Wei Benjamin J Cowling Jonathan M Read Justin Lessler Derek A Cummings Steven Riley The contribution of social behaviour to the transmission of influenza A in a human population.
description	Variability in the risk of transmission for respiratory pathogens can result from several factors, including the intrinsic properties of the pathogen, the immune state of the host and the host's behaviour. It has been proposed that self-reported social mixing patterns can explain the behavioural component of this variability, with simulated intervention studies based on these data used routinely to inform public health policy. However, in the absence of robust studies with biological endpoints for individuals, it is unclear how age and social behaviour contribute to infection risk. To examine how the structure and nature of social contacts influenced infection risk over the course of a single epidemic, we designed a flexible disease modelling framework: the population was divided into a series of increasingly detailed age and social contact classes, with the transmissibility of each age-contact class determined by the average contacts of that class. Fitting the models to serologically confirmed infection data from the 2009 Hong Kong influenza A/H1N1p pandemic, we found that an individual's risk of infection was influenced strongly by the average reported social mixing behaviour of their age group, rather than by their personal reported contacts. We also identified the resolution of social mixing that shaped transmission: epidemic dynamics were driven by intense contacts between children, a post-childhood drop in risky contacts and a subsequent rise in contacts for individuals aged 35-50. Our results demonstrate that self-reported social contact surveys can account for age-associated heterogeneity in the transmission of a respiratory pathogen in humans, and show robustly how these individual-level behaviours manifest themselves through assortative age groups. Our results suggest it is possible to profile the social structure of different populations and to use these aggregated data to predict their inherent transmission potential.
format	article
author	Adam J Kucharski Kin O Kwok Vivian W I Wei Benjamin J Cowling Jonathan M Read Justin Lessler Derek A Cummings Steven Riley
author_facet	Adam J Kucharski Kin O Kwok Vivian W I Wei Benjamin J Cowling Jonathan M Read Justin Lessler Derek A Cummings Steven Riley
author_sort	Adam J Kucharski
title	The contribution of social behaviour to the transmission of influenza A in a human population.
title_short	The contribution of social behaviour to the transmission of influenza A in a human population.
title_full	The contribution of social behaviour to the transmission of influenza A in a human population.
title_fullStr	The contribution of social behaviour to the transmission of influenza A in a human population.
title_full_unstemmed	The contribution of social behaviour to the transmission of influenza A in a human population.
title_sort	contribution of social behaviour to the transmission of influenza a in a human population.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/9a37d2516d284c43abac00844d391797
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The contribution of social behaviour to the transmission of influenza A in a human population.

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