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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/32964
Title: Comparison of contact patterns relevant for transmission of respiratory pathogens in Thailand and The Netherlands using respondent-driven sampling
Authors: Mart L. Stein
Jim E. Van Steenbergen
Vincent Buskens
Peter G.M. Van Der Heijden
Charnchudhi Chanyasanha
Mathuros Tipayamongkholgul
Anna E. Thorson
Linus Bengtsson
Xin Lu
Mirjam E.E. Kretzschmar
University Medical Center Utrecht
National Institute of Public Health and the Environment
Leiden University Medical Center - LUMC
Utrecht University
University of Southampton
Mahidol University
Karolinska Institutet
National University of Defense Technology
Flowminder Foundation
Keywords: Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology
Issue Date: 25-Nov-2014
Citation: PLoS ONE. Vol.9, No.11 (2014)
Abstract: © 2014 Stein et al. Understanding infection dynamics of respiratory diseases requires the identification and quantification of behavioural, social and environmental factors that permit the transmission of these infections between humans. Little empirical information is available about contact patterns within real-world social networks, let alone on differences in these contact networks between populations that differ considerably on a socio-cultural level. Here we compared contact network data that were collected in the Netherlands and Thailand using a similar online respondent-driven method. By asking participants to recruit contact persons we studied network links relevant for the transmission of respiratory infections. We studied correlations between recruiter and recruited contacts to investigate mixing patterns in the observed social network components. In both countries, mixing patterns were assortative by demographic variables and random by total numbers of contacts. However, in Thailand participants reported overall more contacts which resulted in higher effective contact rates. Our findings provide new insights on numbers of contacts and mixing patterns in two different populations. These data could be used to improve parameterisation of mathematical models used to design control strategies. Although the spread of infections through populations depends on more factors, found similarities suggest that spread may be similar in the Netherlands and Thailand.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84913553793&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/32964
ISSN: 19326203
Appears in Collections:Scopus 2011-2015

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