Abstract:
OBJECTIVES:We investigated the feasibility of combining an online chain recruitment method (respondent-driven detection) and participatory surveillance panels to collect previously undetected information on infectious diseases via social networks of participants. METHODS:In 2014, volunteers from 2 large panels in the Netherlands were invited to complete a survey focusing on symptoms of upper respiratory tract infections and to invite 4 individuals they had met in the preceding 2 weeks to take part in the study. We compared sociodemographic characteristics among panel participants, individuals who volunteered for our survey, and individuals recruited via respondent-driven detection. RESULTS:Starting from 1015 panel members, the survey spread through all provinces of the Netherlands and all age groups in 83 days. A total of 433 individuals completed the survey via peer recruitment. Participants who reported symptoms were 6.1% (95% confidence interval = 5.4, 6.9) more likely to invite contact persons than were participants who did not report symptoms. Participants with symptoms invited more symptomatic recruits to take part than did participants without symptoms. CONCLUSIONS:Our findings suggest that online respondent-driven detection can enhance identification of symptomatic patients by making use of individuals' local social networks.
journal_name
Am J Public Healthjournal_title
American journal of public healthauthors
Stein ML,van Steenbergen JE,Buskens V,van der Heijden PG,Koppeschaar CE,Bengtsson L,Thorson A,Kretzschmar MEdoi
10.2105/AJPH.2015.302717subject
Has Abstractpub_date
2015-08-01 00:00:00pages
e90-7issue
8eissn
0090-0036issn
1541-0048journal_volume
105pub_type
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