Title |
The representativeness of a European multi-center network for influenza-like-illness participatory surveillance
|
---|---|
Published in |
BMC Public Health, September 2014
|
DOI | 10.1186/1471-2458-14-984 |
Pubmed ID | |
Authors |
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, 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Vietnam | 1 | 1% |
Unknown | 80 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 26% |
Student > Ph. D. Student | 12 | 15% |
Researcher | 6 | 7% |
Student > Doctoral Student | 5 | 6% |
Student > Bachelor | 4 | 5% |
Other | 15 | 19% |
Unknown | 18 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 26% |
Nursing and Health Professions | 8 | 10% |
Social Sciences | 7 | 9% |
Agricultural and Biological Sciences | 7 | 9% |
Mathematics | 5 | 6% |
Other | 14 | 17% |
Unknown | 19 | 23% |