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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/1573

Title: Social mixing patterns for transmission models of close contact infections: exploring self-evaluation and diary-based data collection through a web-based interface
Authors: Beutels, P
SHKEDY, Ziv
AERTS, Marc
Van Damme, P
Issue Date: 2006
Citation: EPIDEMIOLOGY AND INFECTION. p. 1158-1166
Abstract: Although mixing patterns are crucial in dynamic transmission models of close contact infections, they are largely estimated by intuition. Using a convenience sample (n = 73), we tested self-evaluation and prospective diary surveys with a web-based interface, in order to obtain social contact data. The number of recorded contacts was significantly (P < 0(.)01) greater on workdays (18(.)1) vs. weekend days (12(.)3) for conversations, and vice versa for touching (5(.)4 and 7(.)2 respectively). Mixing was highly assortative with age for both (adults contacting other adults vs. 0- to 5-year-olds, odds ratio 8(.)9-10(.)8). Respondents shared a closed environment significantly more often with > 20 other adults than with > 20 children. The difference in number of contacts per day was non-significant between self-evaluation and diary (P = 0(.)619 for conversations, P=0(.)125 for touching). We conclude that self-evaluation could yield similar results to diary surveys for general or very recent mixing information. More detailed data could be collected by diary, at little effort to respondents.
URI: http://hdl.handle.net/1942/1573
DOI: 10.1017/S0950268806006418
ISI #: 000242231800004
ISSN: 0950-2688
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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