Evidence map›Paper›PMID 31341935›Full record

ArticleStatistics and public policy (Philadelphia, Pa.)2019

Bayesian Estimation of MSM Population Size in Côte d'Ivoire.

Abhirup Datta, Wenyi Lin, Amrita Rao, Daouda Diouf, Abo Kouame, Jessie K Edwards, Le Bao, Thomas A Louis, Stefan Baral

Abstract read
In one paragraph

Article in Statistics and public policy (Philadelphia, Pa.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Abhirup DattaDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD.
Wenyi LinDivision of Biostatistics and Bioinformatics, University of California, San Diego, La Jolla, CA.
Amrita RaoDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD.
Daouda DioufEnda-Sante, Dakar, Senegal.
Abo KouameMinistry of Health, Côte d'Ivoire, Abidjan, Ivory Coast.
Jessie K EdwardsDepartment of Epidemiology, University of North Carolina, Chapel Hill, Chapel Hill, NC.
Le BaoDepartment of Statistics, Penn State University, State College, PA.
Thomas A LouisDepartment of Biostatistics, Johns Hopkins University, Baltimore, MD.
Stefan BaralDepartment of Epidemiology, Johns Hopkins University, Baltimore, MD.

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
Statistical Models for Estimating and Projecting HIV/AIDS EpidemicsR01AI136664 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI BAO, LE · 2017 to 2021
$3.6M
NIAID NIH HHS P30 AI094189NIAID NIH HHS R01 AI136664
6 · The paper itself

Abstract

Côte d'Ivoire has among the most generalized HIV epidemics in West Africa with an estimated half million people living with HIV. Across West Africa, key populations, including gay men and other men who have sex with men (MSM), are often disproportionately burdened with HIV due to specific acquisition and transmission risks. Quantifying population sizes of MSM at the subnational level is critical to ensuring evidence-based decisions regarding the scale and content of HIV prevention interventions. While survey-based direct estimates of MSM numbers are available in a few urban centers across Côte d'Ivoire, no data on MSM population size exists in other areas without any community group infrastructure to facilitate sufficient access to communities of MSM. The data are used in a Bayesian regression setup to produce estimates of the numbers of MSM in areas of Côte d'Ivoire prioritized in the HIV response. Our hierarchical model imputes missing covariates using geo-spatial information and allows for proper uncertainty quantification leading to confidence bounds for predicted MSM population size estimates. This process provided population size estimates where there are no empirical data, to guide the prioritization of further collection of empirical data on MSM and inform evidence-based scaling of HIV prevention and treatment programs for MSM across Côte d'Ivoire.

Indexed as

AIDSBayesian modelCôte d’IvoireHIVMSM populationSmall area estimation

Identifiers

PMID31341935
PMCPMC6656394

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.