Titre :
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Multidisciplinary research for the improvement of health. An investigation assessing the fraction of human immunodeficiency virus infection attributable to ethnic group variations in risk. (1995)
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Auteurs :
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A.V. SWAN ;
Peter BURNEY, éd. ;
O.N. GILL ;
C. MCGARRIGLE ;
A. NICOLL ;
A. NOONE ;
Robert WOOD, éd. ;
Phls Aids cent. Phls statistics unit. London. GBR ;
Umds. Dep public health medicine. St Thomas s hosp London. GBR
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Type de document :
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Article
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Dans :
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International journal of epidemiology (vol. 24, 1995)
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Pagination :
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S15-S20
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Langues:
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Anglais
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Mots-clés :
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Virose
;
Infection
;
Epidémiologie
;
Ethnie
;
Lieu naissance
;
Homme
;
Prévalence
;
Royaume Uni
;
Europe
;
Maladie autoimmune
;
Sida
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Résumé :
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[BDSP. Notice produite par INIST 5oR0xtWk. Diffusion soumise à autorisation]. Considerable speculation and a recent publication has suggested that much of the human immunodeficiency virus (HIV-1) infection in the subset of the UK population represented by women having babies in Metropolitan London is substantially imported from Africa. Other data are supportive of this hypothesis. Ades et at. (1992) concluded that the fraction of HIV seroprevalence, identified in a large London-based study using neonatal blood from the dried blood spots on Guthrie cards, attributable to mothers born in Africa was 92.4% with 95% Cl : 82-100%. This is an important observation which requires confirmation. This paper reports on an attempt to do this with closely similar methodology using the Unlinked Anonymous Survey of HIV-1 seroprevalence in pregnant women attending antenatal centres, together with data from the Office of Population Censuses and Surveys on the country of origins of mothers delivering in 1991 at the 15 London centres included in the UAS. As in Ades'analysis there appeared to be a strong association between centre prevalences and the proportions of women of African origin delivering at those centres. This was consistent with a high fraction of seroprevalence attributable to such women, but it was also clear that the assumptions required for the estimation of the attributable fractions were not fully met. Analyses modified to justify the assumptions produced attributable fraction estimates ranging from 44% to 96% with lower 95% confidence limits 20%.
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