Identification and validation of a multi‐assay algorithm for cross‐sectional HIV incidence estimation in populations with subtype C infection

INTRODUCTION: Cross‐sectional methods can be used to estimate HIV incidence for surveillance and prevention studies. We evaluated assays and multi‐assay algorithms (MAAs) for incidence estimation in subtype C settings. METHODS: We analysed samples from individuals with subtype C infection with known...

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Detalles Bibliográficos
Autores principales: Laeyendecker, Oliver, Konikoff, Jacob, Morrison, Douglas E, Brookmeyer, Ronald, Wang, Jing, Celum, Connie, Morrison, Charles S, Abdool Karim, Quarraisha, Pettifor, Audrey E, Eshleman, Susan H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829581/
https://www.ncbi.nlm.nih.gov/pubmed/29489059
http://dx.doi.org/10.1002/jia2.25082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5829581/
https://www.ncbi.nlm.nih.gov/pubmed/29489059
http://dx.doi.org/10.1002/jia2.25082

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