Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub‐Saharan Africa

INTRODUCTION: HIV planning requires granular estimates for the number of people living with HIV (PLHIV), antiretroviral treatment (ART) coverage and unmet need, and new HIV infections by district, or equivalent subnational administrative level. We developed a Bayesian small‐area estimation model, ca...

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Detalles Bibliográficos
Autores principales: Eaton, Jeffrey W., Dwyer‐Lindgren, Laura, Gutreuter, Steve, O'Driscoll, Megan, Stevens, Oliver, Bajaj, Sumali, Ashton, Rob, Hill, Alexandra, Russell, Emma, Esra, Rachel, Dolan, Nicolas, Anifowoshe, Yusuf O., Woodbridge, Mark, Fellows, Ian, Glaubius, Robert, Haeuser, Emily, Okonek, Taylor, Stover, John, Thomas, Matthew L., Wakefield, Jon, Wolock, Timothy M., Berry, Jonathan, Sabala, Tomasz, Heard, Nathan, Delgado, Stephen, Jahn, Andreas, Kalua, Thokozani, Chimpandule, Tiwonge, Auld, Andrew, Kim, Evelyn, Payne, Danielle, Johnson, Leigh F., FitzJohn, Richard G., Wanyeki, Ian, Mahy, Mary I., Shiraishi, Ray W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Supplement: Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8454682/
https://www.ncbi.nlm.nih.gov/pubmed/34546657
http://dx.doi.org/10.1002/jia2.25788

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