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Causal analysis of H1N1pdm09 influenza infection risk in a household cohort
- Source :
- Journal of Epidemiology and Community Health, Journal of Epidemiology and Community Health, BMJ Publishing Group, 2015, 69 (3), pp.272-277. ⟨10.1136/jech-2014-204678⟩, Journal of Epidemiology and Community Health, Vol. 69, No 3 (2015) pp. 272-7, Journal of Epidemiology and Community Health, 2015, 69 (3), pp.272-277. ⟨10.1136/jech-2014-204678⟩
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; 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 (βstd) 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 (βstd=0.31 and βstd=-0.21). Compliance with preventive behaviours was influenced by risk perception and preventive measures perception (βstd=0.14 and βstd=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.
- Subjects :
- Male
Veterinary medicine
Epidemiology
Health Behavior
Psychological intervention
Social Environment
Cohort Studies
Influenza A Virus, H1N1 Subtype
0302 clinical medicine
Residence Characteristics
Risk Factors
Medicine
030212 general & internal medicine
Causal model
Family Characteristics
0303 health sciences
virus diseases
Middle Aged
Other Topics
3. Good health
Vaccination
Cohort
Female
Disease Susceptibility
France
Adult
medicine.medical_specialty
Adolescent
Environment
Biostatistics
Models, Biological
Young Adult
03 medical and health sciences
Environmental health
Influenza, Human
Humans
Pandemics
030304 developmental biology
ddc:613
business.industry
Public health
Public Health, Environmental and Occupational Health
Influenza
Risk perception
Social Class
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
business
Subjects
Details
- Language :
- English
- ISSN :
- 20102011, 0143005X, and 14702738
- Database :
- OpenAIRE
- Journal :
- Journal of Epidemiology and Community Health, Journal of Epidemiology and Community Health, BMJ Publishing Group, 2015, 69 (3), pp.272-277. ⟨10.1136/jech-2014-204678⟩, Journal of Epidemiology and Community Health, Vol. 69, No 3 (2015) pp. 272-7, Journal of Epidemiology and Community Health, 2015, 69 (3), pp.272-277. ⟨10.1136/jech-2014-204678⟩
- Accession number :
- edsair.doi.dedup.....a98df9fd485712feb46bd1d18a40ba98