ArticlePublic health action2023
Improving TB control: efficiencies of case-finding interventions in Nigeria.
Article in Public health action, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- AI-Driven Tuberculosis Hotspot Mapping to Optimize Active Case-Finding: Implementing the Epi-Control Platform in Uganda.Tropical medicine and infectious disease · 2026Article
- Routine active case finding in Nigerian penitentiary institutions: comparing yields from digital X-ray with CAD4TB and WHO 4-symptom screening.BMC infectious diseases · 2026Article
- Visual diagnostics for female genital schistosomiasis and the opportunity for improvement using computer vision.Parasitology · 2025Review
- Gender disaggregation of the TB care cascade in Nigeria: a four-year retrospective study 2018-2021.Public health action · 2025Article
- Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria.PLOS digital health · 2025Article
- Comparative analysis of the impact of portable digital X-ray on TB screening in hard-to-reach areas in Nigeria.Public health action · 2025Article
- Co-creation of a gender responsive TB intervention in Nigeria: a researcher-led collaborative study.BMC health services research · 2025Article
- Ending tuberculosis in Nigeria: a priority by 2030.BMJ global health · 2024Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
settingKNCV Nigeria implements seven key TB case-finding interventions. It was critical to evaluate the efficiency of these interventions in terms of TB yield to direct future prioritisation in the country.
objectivesTo compare the efficiency of active case-finding (ACF) interventions for TB in Nigeria.
designData from the 2020-2022 implementing period were analysed retrospectively. Intervention efficiencies were analysed using the number needed to screen (NNS), the number needed to test (NNT) and the true screen-positive (TSP) rate.
resultsAcross the interventions, 21,704,669 persons were screened for TB, 1,834,447 (8.5%) were presumed to have TB (7.7% pre-diagnostic drop-out rate) and 122,452 were diagnosed with TB (TSP rate of 7.2%). The average TSP rate of interventions that used both the WHO four-symptom screen (W4SS) and portable digital X-ray (PDX) screening algorithm was significantly higher (22.6%) than those that employed the former alone (7.0%; OR 3.9, 95% CI 3.74-3.98;
conclusionsInterventions using the PDX in addition to W4SS for TB screening were more efficient in terms of TB case yield than interventions that used symptom-based TB screening only.
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