Close contact infection dynamics over time: insights from a second large-scale social contact survey in Flanders, Belgium, in 2010-2011

• Published in: BMC infectious diseases Vol. 21; no. 1; p. 274
• Main Authors: Hoang, Thang Van, Coletti, Pietro, Kifle, Yimer Wasihun, Kerckhove, Kim Van, Vercruysse, Sarah, Willem, Lander, Beutels, Philippe, Hens, Niel
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 18.03.2021; BioMed Central; BMC
• Subjects: Adolescent; Adult; Age; Age groups; Aged; Aged, 80 and over; Basic Reproduction Number; Behavioural changes; Belgium - epidemiology; Chickenpox - epidemiology; Child; Child, Preschool; Children; Communicable diseases; Confidence intervals; Contact behaviour; Contact rates; Contact Tracing; Data mining; Diaries; Disease transmission; Epidemics; Family; Female; Health surveys; Heterogeneity; Holidays; Holidays & special occasions; Humans; Infant; Infant, Newborn; Infectious diseases; Male; Methods; Middle Aged; Mixing patterns; Older people; Polls & surveys; Population; Sex; Social Networking; Surveys; Surveys and Questionnaires; Varicella; Young Adult; Belgium; Contact rates; Behavioural changes; Infectious diseases; Contact behaviour; Mixing patterns
• ISSN: 1471-2334; 1471-2334
• DOI: 10.1186/s12879-021-05949-4

In 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. Different 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 ) and the ratio of relative incidences with 95% bootstrap confidence intervals (BCI) are employed to investigate and quantify the impact on epidemic spread due to differences in sex, day of the week, holiday vs. regular periods and changes in mixing patterns over the 5-year time gap between the 2006 and 2010-2011 surveys. Finally, we compare the fit of the contact matrices in 2006 and 2010-2011 to Varicella serological data. All 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 was observed for weekend versus weekdays and for holiday versus regular periods, respectively. Significantly more interactions between people aged 60+ years and their grandchildren were observed on holiday and weekend days than on regular weekdays. Comparing contact patterns using different methods did not show any substantial differences over the 5-year time period under study. The 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.