Integrative study of pandemic A/H1N1 influenza infections: design and methods of the CoPanFlu-France cohort

BMC Public Health

Study Protocol

Michel Setbon¹  Frédéric Vely²  Eric Vivier²  Pierre Le Cann³  Michèle Legeas³  Michaël Schwarzinger⁴  Antoine Flahault⁵  Pascal Ferrari⁶  Nathanael Lapidus⁶  Rosemary M Delabre⁶  Pierre-Yves Boëlle⁷  Fabrice Carrat⁷  Marie-Lise Gougeon⁸  Simon Cauchemez⁹  Laurent Andreoletti^1,10  Nicolas Salez^1,11  Xavier de Lamballerie^1,12  Laurent Abel^1,13  Marianne Leruez-Ville^1,14 

[1] CNRS – LEST, UMR 6123 Université d’Aix-Marseille, Aix en Provence, France;Ecole des Hautes Etudes en Sante Publique, Paris, France;Centre d’Immunologie de Marseille-Luminy (CIML), Université de la Méditerranée UM 631, Campus de Luminy, 13288, Marseille, France;Institut National de la Santé et de la Recherche Médicale, UMR-S 631, Marseille, France;CNRS, UMR 6102, Marseille, France;Assistance Publique, Hôpitaux de Marseille, Hôpital de la Conception, Marseille, France;Ecole des Hautes Etudes en Sante Publique, Rennes, France;Institut National de la Santé et de la Recherche Médicale, U 912, Marseille, France;Université Aix Marseille, IRD, UMR-S912, Marseille, France;Observatoire Régional de la Santé PACA, Marseille, France;Institut National de la Santé et de la Recherche Médicale, UMR-S 707, F-75012, Paris, France;Ecole des Hautes Etudes en Sante Publique, Rennes, France;Ecole des Hautes Etudes en Sante Publique, Paris, France;Institut National de la Santé et de la Recherche Médicale, UMR-S 707, F-75012, Paris, France;Université Pierre et Marie Curie-Paris 6, UMR-S 707, F-75012, Paris, France;Institut National de la Santé et de la Recherche Médicale, UMR-S 707, F-75012, Paris, France;Université Pierre et Marie Curie-Paris 6, UMR-S 707, F-75012, Paris, France;Assistance Publique-Hôpitaux de Paris, Hôpital Saint Antoine, Unité de Santé Publique, F-75012, Paris, France;Institut Pasteur, Antiviral Immunity, Biotherapy and Vaccine Unit, Paris, France;Medical Research Council Centre for Outbreak Analysis and Modeling, Department of Infectious Disease Epidemiology, Imperial College, London, UK;Unité de Virologie Médicale et Moléculaire, Centre Hospitalier Universitaire, Reims, France;IFR 53/EA-4303 (DAT/PPCIDH), Faculté de Médecine, Reims, France;Unité des Virus Emergents, UMR-D 190, Aix-Marseille université and Institut de Recherche pour le Développement, Marseille, France;Unité des Virus Emergents, UMR-D 190, Aix-Marseille université and Institut de Recherche pour le Développement, Marseille, France;Laboratoire de Virologie, Pôle hospitalier de Microbiologie et Maladies Infectieuses, Assistance Publique, Hôpitaux de Marseille, Marseille, France;Ecole des Hautes Etudes en Sante Publique, Rennes, France;Université Paris Descartes, Sorbonne Paris Cité, EA 36-20, Paris, France;Laboratoire de Génétique Humaine des Maladies Infectieuses, Institut National de la Santé et de la Recherche Médicale, U 550, Paris, France;Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, Rockefeller University, New York, NY, USA;Université Paris Descartes, Sorbonne Paris Cité, EA 36-20, Paris, France;Laboratoire de Virologie, Hôpital Necker, AP-HP, Paris, France;

关键词: Influenza a virus H1N1 subtype;    Cohort study;    Risk factors;    France;   

DOI  :  10.1186/1471-2458-12-417

 received in 2012-03-25, accepted in 2012-06-07,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundThe 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.Methods/DesignHouseholds were included between December 2009 and July 2010. The design of this study relies on systematic follow-up visits between influenza seasons and additional visits during influenza seasons, when an influenza-like illness is detected in a household via an active surveillance system. During systematic visits, a nurse collects individual and environmental data on questionnaires and obtains blood samples from all members of the household. When an influenza-like-illness is detected, a nurse visits the household three times during the 12 following days, and collects data on questionnaires regarding exposure and symptoms, and biological samples (including nasal swabs) from all subjects in the household. The end of the follow-up period is expected in fall 2012.DiscussionThe large amount of data collected throughout the follow-up will permit a multidisciplinary study of influenza infections. Additional data is being collected and analyzed in this ongoing cohort. The longitudinal analysis of these households will permit integrative analyses of complex phenomena such as individual, collective and environmental risk factors of infection, routes of transmission, or determinants of the immune response to infection or vaccination.

【 授权许可】

CC BY   
© Lapidus et al.; licensee BioMed Central Ltd. 2012