Title |
Integrative study of pandemic A/H1N1 influenza infections: design and methods of the CoPanFlu-France cohort
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Published in |
BMC Public Health, June 2012
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DOI | 10.1186/1471-2458-12-417 |
Pubmed ID | |
Authors |
Nathanael Lapidus, Xavier de Lamballerie, Nicolas Salez, Michel Setbon, Pascal Ferrari, Rosemary M Delabre, Marie-Lise Gougeon, Frédéric Vely, Marianne Leruez-Ville, Laurent Andreoletti, Simon Cauchemez, Pierre-Yves Boëlle, Eric Vivier, Laurent Abel, Michaël Schwarzinger, Michèle Legeas, Pierre Le Cann, Antoine Flahault, Fabrice Carrat |
Abstract |
The risk of influenza infection depends on biological characteristics, individual or collective behaviors and the environmental context. The Cohorts for Pandemic Influenza (CoPanFlu) France study was set up in 2009 after the identification of the novel swine-origin A/H1N1 pandemic influenza virus. This cohort of 601 households (1450 subjects) representative for the general population aims at using an integrative approach to study the risk and characteristics of influenza infection as a complex combination of data collected from questionnaires regarding sociodemographic, medical, behavioral characteristics of subjects and indoor environment, using biological samples or environmental databases. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Canada | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 48 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 15% |
Researcher | 7 | 15% |
Student > Master | 7 | 15% |
Student > Bachelor | 4 | 8% |
Professor | 3 | 6% |
Other | 12 | 25% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 10 | 21% |
Medicine and Dentistry | 8 | 17% |
Nursing and Health Professions | 4 | 8% |
Immunology and Microbiology | 4 | 8% |
Computer Science | 3 | 6% |
Other | 9 | 19% |
Unknown | 10 | 21% |