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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: Kucharski, Adam J., Kwok, Kin O., Wei, Vivian W. I., Cowling, Benjamin J., Read, Jonathan M., Lessler, Justin, Cummings, Derek A., Riley, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072802/
https://www.ncbi.nlm.nih.gov/pubmed/24968312
http://dx.doi.org/10.1371/journal.ppat.1004206
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author Kucharski, Adam J.
Kwok, Kin O.
Wei, Vivian W. I.
Cowling, Benjamin J.
Read, Jonathan M.
Lessler, Justin
Cummings, Derek A.
Riley, Steven
author_facet Kucharski, Adam J.
Kwok, Kin O.
Wei, Vivian W. I.
Cowling, Benjamin J.
Read, Jonathan M.
Lessler, Justin
Cummings, Derek A.
Riley, Steven
author_sort Kucharski, Adam J.
collection PubMed
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.
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spelling pubmed-40728022014-07-02 The Contribution of Social Behaviour to the Transmission of Influenza A in a Human Population Kucharski, Adam J. Kwok, Kin O. Wei, Vivian W. I. Cowling, Benjamin J. Read, Jonathan M. Lessler, Justin Cummings, Derek A. Riley, Steven PLoS Pathog Research Article 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. Public Library of Science 2014-06-26 /pmc/articles/PMC4072802/ /pubmed/24968312 http://dx.doi.org/10.1371/journal.ppat.1004206 Text en © 2014 Kucharski et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kucharski, Adam J.
Kwok, Kin O.
Wei, Vivian W. I.
Cowling, Benjamin J.
Read, Jonathan M.
Lessler, Justin
Cummings, Derek A.
Riley, Steven
The Contribution of Social Behaviour to the Transmission of Influenza A in a Human Population
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072802/
https://www.ncbi.nlm.nih.gov/pubmed/24968312
http://dx.doi.org/10.1371/journal.ppat.1004206
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