Evidence map›Paper›PMID 42861056›Full record

ArticleJournal of clinical tuberculosis and other mycobacterial diseases2026

Prevalence and predictors of HIV/TB co-infection in Sub-Saharan Africa.

Abubaker Ibrahim Elbur, Sindhuri Gandla, Raja Nakka, Ruhul Khan, Musie Ghebremichael

Abstract read
In one paragraph

Article in Journal of clinical tuberculosis and other mycobacterial diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abubaker Ibrahim ElburDivision of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA.
Sindhuri GandlaRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Raja NakkaRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Ruhul KhanRagon Institute of MGH, MIT, and Harvard, Cambridge, & Harvard Medical School, Cambridge, MA, USA.
Musie GhebremichaelRagon Institute of MGH, MIT, and Harvard, Cambridge, & Harvard Medical School, and MGH Biostatistics Center, Boston, MA, USA.

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
NIAID NIH HHS P30 AI060354
6 · The paper itself

Abstract

Background: In Sub-Saharan Africa (SSA), tuberculosis is a leading cause of morbidity and mortality among people with HIV (PWH). This study aimed to determine the prevalence of self-reported TB disease and identify the demographic, socioeconomic, and clinical factors associated with it among PWH in SSA Methods: We conducted a cross-sectional secondary analysis of data from the Population-based HIV Impact Assessment (PHIA) surveys (2015-2019), including PWH aged ≥15 years from 13 countries in the SSA region. TB status was self-reported, and standardized questionnaires and biomarker data provided demographic, socioeconomic, and clinical covariates. Logistic regression models were applied using survey weights and jackknife variance estimation to identify predictors of HIV/TB co-infection. Results: Among 11,663 participants, 31.5% were people with TB. Co-infection prevalence varied widely by country, ranging from 7.5% in Cameroon to 59.5% in Eswatini, with the highest prevalence observed in Southern African countries. Predictors of increased TB risk include older age [Adjusted (aOR): 1.01; 95% CI: 1.00-1.02; Conclusions: HIV/TB co-infection remains highly prevalent in SSA, shaped by demographic, socioeconomic, and clinical factors. Tailored HIV/TB interventions are urgently needed in SSA, prioritizing Southern and Eastern regions and high-risk groups through integrated, community-based, and male-friendly care. Strengthening health systems, improving diagnostics, and addressing social and structural barriers are critical for equitable, sustained progress.

Indexed as

HIVPrevalenceSub-Saharan AfricaTuberculosis

Identifiers

PMID42861056
PMCPMC13654043

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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.