ArticlePloS one2014
Comparison of contact patterns relevant for transmission of respiratory pathogens in Thailand and The Netherlands using respondent-driven sampling.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- A Systematic Review of Social Contact Surveys to Inform Transmission Models of Close-contact Infections.Epidemiology (Cambridge, Mass.) · 2019Pooled it
- Social contact patterns in South Korea: an analysis of a survey conducted in 2023-2024.BMC infectious diseases · 2025Article
- Improving web-based respondent-driven sampling performance among men who have sex with men in the Netherlands.PLOS digital health · 2023Article
- Article
- Article
- Social mixing patterns relevant to infectious diseases spread by close contact in urban Blantyre, Malawi.Epidemics · 2022Article
- Individual's daily behaviour and intergenerational mixing in different social contexts of Kenya.Scientific reports · 2021Article
- Social Contact Patterns and Implications for Infectious Disease Transmission: A Systematic Review and Meta-Analysis of Contact Surveys.medRxiv : the preprint server for health sciences · 2021Article
- Online respondent-driven detection for enhanced contact tracing of close-contact infectious diseases: benefits and barriers for public health practice.BMC infectious diseases · 2021Article
- Applications and Recruitment Performance of Web-Based Respondent-Driven Sampling: Scoping Review.Journal of medical Internet research · 2021Article
- Transmission of viral pathogens in a social network of university students: the eX-FLU study.Epidemiology and infection · 2020Article
- Contact Mixing Patterns and Population Movement among Migrant Workers in an Urban Setting in Thailand.International journal of environmental research and public health · 2020Article
- Prevalence and characteristics of acute respiratory virus infections in pediatric cancer patients.Journal of medical virology · 2019Article
- Article
- Study design and protocol for investigating social network patterns in rural and urban schools and households in a coastal setting in Kenya using wearable proximity sensors.Wellcome open research · 2019Article
- A performance assessment of web-based respondent driven sampling among workers with precarious employment in Sweden.PloS one · 2019Article
- Social networks in relation to self-reported symptomatic infections in individuals aged 40-75 - the Maastricht study.BMC infectious diseases · 2018Observational
- Development of prediction models for upper and lower respiratory and gastrointestinal tract infections using social network parameters in middle-aged and older persons -The Maastricht Study.Epidemiology and infection · 2018Observational
- Identification of Homophily and Preferential Recruitment in Respondent-Driven Sampling.American journal of epidemiology · 2018Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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