Dual Testing Algorithm of BED-CEIA and AxSYM Avidity Index Assays Performs Best in Identifying Recent HIV Infection in a Sample of Rwandan Sex Workers

BACKGROUND: To assess the performance of BED-CEIA (BED) and AxSYM Avidity Index (Ax-AI) assays in estimating HIV incidence among female sex workers (FSW) in Kigali, Rwanda. METHODOLOGY AND FINDINGS: Eight hundred FSW of unknown HIV status were HIV tested; HIV-positive women had BED and Ax-AI testing...

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Main Authors: Braunstein, Sarah L., Nash, Denis, Kim, Andrea A., Ford, Ken, Mwambarangwe, Lambert, Ingabire, Chantal M., Vyankandondera, Joseph, van de Wijgert, Janneke H. H. M.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2011
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3075245/
https://ncbi.nlm.nih.gov/pubmed/21532753
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0018402
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