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The representativeness of a European multi-center network for influenza-like-illness participatory surveillance

By Pietro Cantarelli, Marion Debin, Clément Turbelin, Chiara Poletto, Thierry Blanchon, Alessandra Falchi, Thomas Hanslik, Isabelle Bonmarin, Daniel Levy-Bruhl, Alessandra Micheletti, Daniela Paolotti, Alessandro Vespignani, John Edmunds, Ken Eames, Ronald Smallenburg, Carl Koppeschaar, Ana O Franco, Vitor Faustino, AnnaSara Carnahan, Moa Rehn and Vittoria Colizza

Abstract

The Internet is becoming more commonly used as a tool for disease surveillance. Similarly to other surveillance systems and to studies using online data collection, Internet-based surveillance will have biases in participation, affecting the generalizability of the results. Here we quantify the participation biases of Influenzanet, an ongoing European-wide network of Internet-based participatory surveillance systems for influenza-like-illness.work partly supported by the U707/InVS partnership contract n° 12-N-MIP20-04, and the ANR contract no. ANR-12-MONU-0018 (HARMSFLU)

Topics: Influenza, Surveillance, Representativeness, Internet data collection, Participation bias, Selection bias
Publisher: 'Springer Science and Business Media LLC'
Year: 2014
DOI identifier: 10.1186/1471-2458-14-984
OAI identifier: oai:arca.igc.gulbenkian.pt:10400.7/324

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