Titre :
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Neighborhood Socioeconomic Status and Influenza Hospitalizations Among Children : New Haven County, Connecticut, 2003-2010. (2011)
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Auteurs :
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Kimberly-M YOUSEY-HINDES ;
James-L HADLER ;
Yale office of the Connecticut Emerging Infections Program. Yale School of Public Health. New Haven. CT. USA
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Type de document :
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Article
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Dans :
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American journal of public health (vol. 101, n° 9, 2011)
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Pagination :
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1785-1789
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Langues:
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Anglais
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Mots-clés :
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Facteur socioéconomique
;
Grippe
;
Hospitalisation
;
Enfant
;
Virose
;
Infection
;
Homme
;
Amérique
;
Amérique du Nord
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Résumé :
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[BDSP. Notice produite par INIST-CNRS sp8R0xGl. Diffusion soumise à autorisation]. Objectives. We examined surveillance data for disparities in pediatric influenza-associated hospitalizations according to neighborhood socioeconomic status (SES) measures in New Haven County, Connecticut. Methods. We geocoded influenza-associated hospitalization case data from the past 7 years for children from birth to age 17 years and linked these to US Census 2000 tract-level SES data. Following the methods of Harvard's Public Health Disparities Geocoding Project, we examined neighborhood SES variables, including measures of poverty and crowding. We calculated influenza-associated hospitalization incidence by influenza season and individual case characteristics, stratified by SES measures. Results. Overall, the mean annual incidence of pediatric influenza-associated hospitalization in high-poverty and high-crowding census tracts was at least 3 times greater than that in low-poverty and low-crowding tracts. This disparity could not be fully explained by prevalence of underlying conditions or receipt of influenza vaccination. Conclusions. Linkage of geocoded surveillance data and census information allows for ongoing monitoring of SES correlates of health and may help target interventions. Our analysis indicates a correlation between residence in impoverished or crowded neighborhoods and incidence of influenza-associated hospitalization among children in Connecticut.
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