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Timing HIV infection with a simple and accurate population viral dynamics model
Clinical trials for HIV prevention can require knowledge of infection times to subsequently determine protective drug levels. Yet, infection timing is difficult when study visits are sparse. Using population nonlinear mixed-effects (pNLME) statistical inference and viral loads from 46 RV217 study pa...
Autores principales: | Reeves, Daniel B., Rolland, Morgane, Dearlove, Bethany L., Li, Yifan, Robb, Merlin L., Schiffer, Joshua T., Gilbert, Peter, Cardozo-Ojeda, E. Fabian, Mayer, Bryan T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8241492/ https://www.ncbi.nlm.nih.gov/pubmed/34186015 http://dx.doi.org/10.1098/rsif.2021.0314 |
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