Publications des scientifiques de l'IRD

Mansiaux Y., Salez N., Lapidus N., Setbon M., Andreoletti L., Leruez-Ville M., Cauchemez S., Gougeon M. L., Vely F., Schwarzinger M., Abel L., Delabre R. M., Flahault A., de Lamballerie Xavier, Carrat F. (2015). Causal analysis of H1N1pdm09 influenza infection risk in a household cohort. Journal of Epidemiology and Community Health, 69 (3), p. 272-277. ISSN 0143-005X.

Titre du document
Causal analysis of H1N1pdm09 influenza infection risk in a household cohort
Année de publication
2015
Type de document
Article référencé dans le Web of Science WOS:000349542100012
Auteurs
Mansiaux Y., Salez N., Lapidus N., Setbon M., Andreoletti L., Leruez-Ville M., Cauchemez S., Gougeon M. L., Vely F., Schwarzinger M., Abel L., Delabre R. M., Flahault A., de Lamballerie Xavier, Carrat F.
Source
Journal of Epidemiology and Community Health, 2015, 69 (3), p. 272-277 ISSN 0143-005X
Background Obtaining a comprehensive quantitative figure of the determinants of influenza infection will help identify priority targets for future influenza mitigation interventions. We developed an original causal model integrating highly diverse factors and their dependencies, to identify the most critical determinants of pandemic influenza infection (H1N1pdm09) during the 2010-2011 influenza season. Methods We used data from 601 households (1450 participants) included in a dedicated cohort. Structural equations were used to model direct and indirect relationships between infection and risk perception, compliance with preventive behaviours, social contacts, indoor and outdoor environment, sociodemographic factors and pre-epidemic host susceptibility. Standardised estimates (beta(std)) were used to assess the strength of associations (ranging from -1 for a completely negative association to 1 for a completely positive association). Results Host susceptibility to H1N1pdm09 and compliance with preventive behaviours were the only two factors directly associated with the infection risk (beta(std)=0.31 and beta(std)=-0.21). Compliance with preventive behaviours was influenced by risk perception and preventive measures perception (beta(std)=0.14 and beta(std)=0.27). The number and duration of social contacts were not associated with H1N1pdm09 infection. Conclusions Our findings suggest that influenza vaccination in addition to public health communication campaigns focusing on personal preventive measures should be prioritised as potentially efficient interventions to mitigate influenza epidemics.
Plan de classement
Entomologie médicale / Parasitologie / Virologie [052]
Description Géographique
FRANCE
Localisation
Fonds IRD
Identifiant IRD
PAR00012813
Contact