Evaluation of multi-assay algorithms for cross-sectional HIV incidence estimation in settings with universal antiretroviral treatment

BACKGROUND: Multi-assay algorithms (MAAs) are used to estimate population-level HIV incidence and identify individuals with recent infection. Many MAAs use low viral load (VL) as a biomarker for long-term infection. This could impact incidence estimates in settings with high rates of early HIV treat...

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Detalles Bibliográficos
Autores principales: Grant-McAuley, Wendy, Laeyendecker, Oliver, Monaco, Daniel, Chen, Athena, Hudelson, Sarah E., Klock, Ethan, Brookmeyer, Ron, Morrison, Douglas, Piwowar-Manning, Estelle, Morrison, Charles S., Hayes, Richard, Ayles, Helen, Bock, Peter, Kosloff, Barry, Shanaube, Kwame, Mandla, Nomtha, van Deventer, Anneen, Ruczinski, Ingo, Kammers, Kai, Larman, H. Benjamin, Eshleman, Susan H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652879/
https://www.ncbi.nlm.nih.gov/pubmed/36368950
http://dx.doi.org/10.1186/s12879-022-07850-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652879/
https://www.ncbi.nlm.nih.gov/pubmed/36368950
http://dx.doi.org/10.1186/s12879-022-07850-0

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