Combining Viral Genetics and Statistical Modeling to Improve HIV-1 Time-of-Infection Estimation towards Enhanced Vaccine Efficacy Assessment

Knowledge of the time of HIV-1 infection and the multiplicity of viruses that establish HIV-1 infection is crucial for the in-depth analysis of clinical prevention efficacy trial outcomes. Better estimation methods would improve the ability to characterize immunological and genetic sequence correlat...

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Detalles Bibliográficos
Autores principales: Rossenkhan, Raabya, Rolland, Morgane, Labuschagne, Jan P.L., Ferreira, Roux-Cil, Magaret, Craig A., Carpp, Lindsay N., Matsen IV, Frederick A., Huang, Yunda, Rudnicki, Erika E., Zhang, Yuanyuan, Ndabambi, Nonkululeko, Logan, Murray, Holzman, Ted, Abrahams, Melissa-Rose, Anthony, Colin, Tovanabutra, Sodsai, Warth, Christopher, Botha, Gordon, Matten, David, Nitayaphan, Sorachai, Kibuuka, Hannah, Sawe, Fred K., Chopera, Denis, Eller, Leigh Anne, Travers, Simon, Robb, Merlin L., Williamson, Carolyn, Gilbert, Peter B., Edlefsen, Paul T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669737/
https://www.ncbi.nlm.nih.gov/pubmed/31277299
http://dx.doi.org/10.3390/v11070607

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6669737/
https://www.ncbi.nlm.nih.gov/pubmed/31277299
http://dx.doi.org/10.3390/v11070607

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