ArticleBMC infectious diseases2021
Close contact infection dynamics over time: insights from a second large-scale social contact survey in Flanders, Belgium, in 2010-2011.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A scoping review of COVID-19 modelling studies in Belgium 2020-2024: incorporation of behaviour and lessons learned.Archives of public health = Archives belges de sante publique · 2026Pooled it
- Social contact patterns in the United Kingdom following the COVID-19 pandemic: The Reconnect cross-sectional survey.PLoS medicine · 2026Article
- Health beliefs and their relation to household, necessary, and unnecessary contacts across COVID-19 epidemic waves in Taiwan.BMC public health · 2025Article
- Patterns and drivers of excess mortality during the COVID-19 pandemic in 13 Western European countries.BMC global and public health · 2024Article
- Social contact patterns following the COVID-19 pandemic: a snapshot of post-pandemic behaviour from the CoMix study.Epidemics · 2024Article
- Chronic disease patients have fewer social contacts: A pilot survey with implications for transmission dynamics.Infectious Disease Modelling · 2024Article
- The importance of increasing primary vaccinations against COVID-19 in Europe.Infectious Disease Modelling · 2024Article
- Population age and household structures shape transmission dynamics of emerging infectious diseases: a longitudinal microsimulation approach.Journal of the Royal Society, Interface · 2023Article
- Exploring the impact of population ageing on the spread of emerging respiratory infections and the associated burden of mortality.BMC infectious diseases · 2023Article
- Longitudinal social contact data analysis: insights from 2 years of data collection in Belgium during the COVID-19 pandemic.BMC public health · 2023Article
- How contact patterns during the COVID-19 pandemic are related to pre-pandemic contact patterns and mobility trends.BMC infectious diseases · 2023Article
- Exploring human mixing patterns based on time use and social contact data and their implications for infectious disease transmission models.BMC infectious diseases · 2022Article
- Social contact patterns in Japan in the COVID-19 pandemic during and after the Tokyo Olympic Games.Journal of global health · 2022Article
- Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2.PLoS computational biology · 2022Article
- Time trends in social contacts before and during the COVID-19 pandemic: the CONNECT study.BMC public health · 2022Article
- The influence of risk perceptions on close contact frequency during the SARS-CoV-2 pandemic.Scientific reports · 2022Article
- Individual's daily behaviour and intergenerational mixing in different social contexts of Kenya.Scientific reports · 2021Article
- Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories.Epidemics · 2021Article
- A data-driven metapopulation model for the Belgian COVID-19 epidemic: assessing the impact of lockdown and exit strategies.BMC infectious diseases · 2021Article
- The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19.Nature communications · 2021Article
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8 authors.
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Abstract
backgroundIn 2010-2011, we conducted a social contact survey in Flanders, Belgium, aimed at improving and extending the design of the first social contact survey conducted in Belgium in 2006. This second social contact survey aimed to enable, for the first time, the estimation of social mixing patterns for an age range of 0 to 99 years and the investigation of whether contact rates remain stable over this 5-year time period.
methodsDifferent data mining techniques are used to explore the data, and the age-specific number of social contacts and the age-specific contact rates are modelled using a generalized additive models for location, scale and shape (GAMLSS) model. We compare different matrices using assortativeness measures. The relative change in the basic reproduction number (R
resultsAll estimated contact patterns featured strong homophily in age and sex, especially for small children and adolescents. A 30% (95% BCI [17%; 37%]) and 29% (95% BCI [14%; 40%]) reduction in R
conclusionsThe second social contact survey in Flanders, Belgium, endorses the findings of its 2006 predecessor and adds important information on the social mixing patterns of people older than 60 years of age. Based on this analysis, the mixing patterns of people older than 60 years exhibit considerable heterogeneity, and overall, the comparison of the two surveys shows that social contact rates can be assumed stable in Flanders over a time span of 5 years.
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