| Titre : | Assessing Network Scale-up Estimates for Groups Most at Risk of HIV/AIDS : Evidence From a Multiple-Method Study of Heavy Drug Users in Curitiba, Brazil. (2011) |
| Auteurs : | SALGANIK (Matthew-J) : USA. Department of Sociology and Office of Population Research. Princeton University. Princeton. NJ. ; Alexandre-H Abdo ; Francisco-I BASTOS ; Neilane BERTONI ; FAZITO (Dimitri) : BRA. Cedeplar. Federal University of Minas Gerais. Belo Horizonte. ; Maeve-B MELLO ; Fiocruz. Oswaldo Cruz Foundation. Rio de Janeiro. BRA |
| Type de document : | Article |
| Dans : | American journal of epidemiology (vol. 174, n° 10, 2011) |
| Pagination : | 1190-1196 |
| Langues: | Anglais |
| Mots-clés : | Toxicomanie ; Evaluation ; Relation sociale ; Estimation ; Facteur risque ; Risque ; Sida ; Méthode ; Méthodologie ; Toxicomane ; Homme ; Brésil ; Epidémiologie ; VIH ; Prélèvement ; Population ; Virose ; Infection ; Amérique ; Rétrovirus ; Virus ; Immunopathologie ; Amérique du Sud |
| Résumé : | [BDSP. Notice produite par INIST-CNRS R0xABsFl. Diffusion soumise à autorisation]. One of the many challenges hindering the global response to the human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) epidemic is the difficulty of collecting reliable information about the populations most at risk for the disease. Thus, the authors empirically assessed a promising new method for estimating the sizes of most at-risk populations : the network scale-up method. Using 4 different data sources, 2 of which were from other researchers, the authors produced 5 estimates of the number of heavy drug users in Curitiba, Brazil. The authors found that the network scale-up and generalized network scale-up estimators produced estimates 5-10 times higher than estimates made using standard methods (the multiplier method and the direct estimation method using data from 2004 and 2010). Given that equally plausible methods produced such a wide range of results, the authors recommend that additional studies be undertaken to compare estimates based on the scale-up method with those made using other methods. If scale-up-based methods routinely produce higher estimates, this would suggest that scale-up-based methods are inappropriate for populations most at risk of HIV/AIDS or that standard methods may tend to underestimate the sizes of these populations. |
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