Evidence map›Paper›PMID 41660366›Full record

ArticleEClinicalMedicine2026

Environmental-demographic determinants associated with tuberculosis prevalence in seven African countries: an aggregated dataset analysis.

Tessa M I Haverkate, Daniella Brals, Egbal A B Abukaraig, Nathan Kapata, Pascalina Kapata-Chanda, Bruce Kirenga, Eveline Klinkenberg, Irwin Law, Llang B Maama-Maime, Sizulu Moyo and 5 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 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

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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Tessa M I HaverkateAmsterdam UMC, Location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Daniella BralsAmsterdam UMC, Location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Egbal A B AbukaraigResearch and Development Centre, Alfjr College for Science and Technology, Khartoum, Sudan.
Nathan KapataMinistry of Health, Lusaka, Zambia.
Pascalina Kapata-ChandaMinistry of Health, Lusaka, Zambia.
Bruce KirengaMakerere University Lung Institute & Division of Pulmonary Medicine, Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Eveline KlinkenbergAmsterdam UMC, Location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Irwin LawGlobal Programme on Tuberculosis and Lung Health, World Health Organization, Geneva, Switzerland.
Llang B Maama-MaimeMinistry of Health National TB and Leprosy Programme, Maseru, Lesotho.
Sizulu MoyoHuman Sciences Research Council, Cape Town, South Africa.
Joshua ObasanyaNigeria Centre for Disease Control, Abuja, Nigeria.
Elizeus RutebemberwaDepartment of Health Policy, Planning and Management, School of Public Health, Makerere University, Kampala, Uganda.
Logan StuckAmsterdam UMC, Location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Edine TiemersmaKNCV Tuberculosis Foundation, The Hague, the Netherlands.
Frank CobelensAmsterdam UMC, Location University of Amsterdam, Department of Global Health, Amsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Knowledge about environmental and demographic determinants of tuberculosis is largely limited to studies with ecological designs. We explored the association between these determinants and tuberculosis prevalence in an individual participant dataset aggregated across seven African countries. Methods: Data of nationally representative tuberculosis prevalence surveys (2012-2019) from highly endemic countries were supplemented with publicly accessible data at district level. Associations between individual-level diagnosis of bacteriologically confirmed tuberculosis and district-level environmental-demographic variables were investigated in generalised linear mixed-effects models accounting for the multi-level structure of the data. Findings: Of 322,615 participants aged ≥15 years across 400 districts, 976 were newly diagnosed with tuberculosis (prevalence 183-638/100,000 across the countries). Living at latitude 7.6-14.6° (adjusted odds ratio, aOR 2.07, 95% confidence interval, 95% CI 1.48-2.90) or in higher population density (aOR 1.07 per percent increase in mean population density, 1.01-1.13), or urban districts (aOR 1.31, 1.11-1.54) were independently associated with higher prevalence. Living in distsricts above 900 m altitude (aOR 0.52, 0.32-0.84), with 50-100 mm precipitation (aOR 0.62, 0.46-0.84), or at higher temperature (aOR 0.93 per degree Celsius, 0.88-0.98) was independently associated with lower tuberculosis prevalence. No significant associations were observed with fine particulate matter (aOR 1.04, 0.70-1.54 for 20-40 μg/m Interpretation: Our results suggest that in high-burden African countries, some of the variation in tuberculosis prevalence can be explained by environmental and demographic factors that merit further investigation. Funding: Mr Willem Bakhuys Roozeboom Foundation.

Indexed as

EcologicalEnvironmentalPlanetary healthSociodemographicTuberculosis

Identifiers

PMID41660366
PMCPMC12874274

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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.