Assessing the use of surveillance data to estimate the impact of prevention interventions on HIV incidence in cluster-randomized controlled trials

BACKGROUND: In cluster-randomized controlled trials (C-RCTs) of HIV prevention strategies, HIV incidence is expensive to measure directly. Surveillance data on HIV diagnoses or viral suppression could provide cheaper incidence estimates. We used mathematical modelling to evaluate whether these measu...

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Detalles Bibliográficos
Autores principales: Mitchell, Kate M., Dimitrov, Dobromir, Hughes, James P., Moore, Mia, Vittinghoff, Eric, Liu, Albert, Cohen, Myron S., Beyrer, Chris, Donnell, Deborah, Boily, Marie-Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938213/
https://www.ncbi.nlm.nih.gov/pubmed/33285419
http://dx.doi.org/10.1016/j.epidem.2020.100423

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7938213/
https://www.ncbi.nlm.nih.gov/pubmed/33285419
http://dx.doi.org/10.1016/j.epidem.2020.100423

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