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Persistently high TB prevalence in Nairobi County neighbourhoods, 2015–2022

Bibliographic Data

ID19593813
AuthorsJane Rahedi Ong’ang’o (0000-0001-5481-8447, Kenya Medical Research Institute, corresponding author), Jennifer M Ross (0000-0001-5677-939X, University of Washington, corresponding author), Richard Kiplimo (0000-0002-7319-0410, Amref Health Africa, corresponding author), Cheryl Kerama (0000-0001-5892-7966, Kenya Medical Research Institute, corresponding author), Khai Hoan Tram (0000-0003-1129-7674, University of Washington, corresponding author), Jerry S Zifodya (0000-0003-2742-5976, Tulane University, corresponding author), Nellie Mukiri (0009-0000-9914-3420, Ministry of Health, corresponding author), Erick Nyadimo (Kenya Medical Research Institute, corresponding author), Martha Njoroge (Kenya Medical Research Institute, corresponding author), Aiban Ronoh (0000-0001-5578-3688, Ministry of Health, corresponding author), Immaculate Kathure (Ministry of Health, corresponding author), Dickson Kirathe (0000-0003-4417-5278, Ministry of Health, corresponding author), Thomas R Hawn (0000-0003-2368-3185, University of Washington, corresponding author), Videlis Nduba (0000-0002-2266-8349, Kenya Medical Research Institute, corresponding author), David Horne (0000-0002-4721-9099, University of Washington, corresponding author)
EditorsN Sarita Shah (0000-0001-6069-0857)
Year2025
Volume5
Issue2
Pagese0003849
Publication date2025-02-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0003849
PMID39965017
OpenAlexW4407690123
LanguageEN
References cited22

National and sub-national population-based surveys, when performed at intervals, may assess important changes in TB prevalence. In 2022 we re-surveyed nine Nairobi County neighbourhoods that were previously surveyed in 2015. We aimed to determine pulmonary TB prevalence, compare prevalence to 2015 estimates, and evaluate changes in risk groups. Participants who reported cough of any duration and/or whose chest x-ray suggested TB submitted sputum for smear microscopy, Xpert Ultra, and liquid culture. We defined prevalent TB as Mycobacterium tuberculosis detection by sputum Xpert or culture, excepting individuals who were only trace positive. Our methods differed from 2015, which used solid media, Xpert MTB/RIF, and cough duration >2 weeks. We calculated TB prevalence using random-effects logistic regression models with missing value imputations and inverse probability weighting. In 2022 among 6369 participants, 1582 submitted ≥1 sputum sample, among whom 42 (2.7%) had TB, a weighted TB prevalence of 806/100,000 (95% confidence interval (CI), 518–1096). An additional 31 (2.0%) participants tested Ultra trace-positive/culture-negative. For comparison to 2015, we excluded 2022 participants (n = 2) whose only criterion for sputum was cough

Confidence interval · Environmental health · Logistic regression · Pathology · Population · Pulmonary tuberculosis · Sputum · Tuberculosis · Demography · Medicine · Mycobacterium research and diagnosis · Pneumonia and Respiratory Infections · Tuberculosis Research and Epidemiology · Internal Medicine

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