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

Eaton, J. W., Dwyer‐Lindgren, L., Gutreuter, S., O’Driscoll, M., Stevens, O., Bajaj, S., Ashton, R., Hill, A., Russell, E., Esra, R., Dolan, N., Anifowoshe, Y. O., Woodbridge, M., Fellows, I., Glaubius, R., Haeuser, E., Okonek, T., Stover, J., Thomas, M. L., … Shiraishi, R. W. (2021). Naomi: a new modelling tool for estimating HIV epidemic indicators at the district level in sub‐Saharan Africa. Journal of the International AIDS Society, 24(S5). Portico. https://doi.org/10.1002/jia2.25788
Authors:
Jeffrey W Eaton
Laura Dwyer-Lindgren
Steve Gutreuter
Megan O'Driscoll
Oliver Stevens
Sumali Bajaj
Rob Ashton
Alexandra Hill
Emma Russell
Rachel Esra
Nicolas Dolan
Yusuf O Anifowoshe
Mark Woodbridge
Ian Fellows
Robert Glaubius
Emily Haeuser
Taylor Okonek
John Stover
Matthew L Thomas
Jon Wakefield
Timothy M Wolock
Jonathan Berry
Tomasz Sabala
Nathan Heard
Stephen Delgado
Andreas Jahn
Thokozani Kalua
Tiwonge Chimpandule
Andrew Auld
Evelyn Kim
Danielle Payne
Leigh F Johnson
Richard G FitzJohn
Ian Wanyeki
Mary I Mahy
Ray W Shiraishi
Affiliated Authors:
Stephen Delgado
Columbia Affiliation:
Subjects:
Epidemics (MeSH)
HIV Infections (MeSH)
Author Keywords:
bayesian statistics
hiv estimates
joint modelling
routine data
small-area estimation
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Publication Type:
Article
Unique ID:
10.1002/jia2.25788
PMID:
34546657
DOI:
10.1002/jia2.25788
Journal:
Journal of the International AIDS Society
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: