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Debby Nongo

Biographic Data

ID9065330
NAMEDebby Nongo
GIVEN NAMESDebby
FAMILY NAMENongo
SIGNATURENONGO D
AFFILIATIONSUnited States Agency for International Development
ORCID0000-0001-5339-9818
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Operational feasibility of the ultra-portable digital X-rays with Computer-Aided Detection (CAD) for community active case finding for TB in Nigeria

    Open Access•Sani Useni, Rupert Eneogu et al.•ARTICLE•PLOS Global Public Health•2025

    Nigeria received 10 Ultra-Portable digital X-rays (UPDX) with Computer-Aided Detection (CAD) from the Stop TB Partnership, as part of the USAID-funded introducing New Tools Project (iNTP). The UPDX machines (Delft Light systems) were deployed to 8 states for TB screening and triaging algorithms for early TB detection. This study sought to explore the perspectives of health workers and clients on the operational feasibility and ease-of-use of the …

  • Evaluating the health impact, health-system costs and cost-effectiveness of using TrueNat on stool samples compared to usual care for the diagnosis of paediatric tuberculosis in primary care settings

    Open Access•Nyashadzaishe Mafirakureva, Olugbenga Kayode Daniel et al.•ARTICLE•PLOS Global Public Health•2025

    The World Health Organisation (WHO) recommends rapid molecular diagnostics to improve bacteriological confirmation of tuberculosis in children. TrueNat MTB, MTB Plus and MTB-RIF Dx assays (Molbio Diagnostics, India), recommended by WHO, hold potential as point-of-care tests in resource-limited settings. Using stool samples with these assays could enhance testing access, improve linkage to care, reduce costs, and increase cost-effectiveness over t…

  • Perceived ease of use of Truenat among laboratory staff as a new diagnostic tool for TB in Nigeria

    Open Access•Austin Ihesie, Nkiru Nwokoye et al.•ARTICLE•PLOS Global Public Health•2024

    In January 2020, WHO released a rapid communication on use of molecular assays as initial tests for diagnosis of tuberculosis, recommending Truenat as a replacement for smear microscopy in TB diagnosis. This study was designed to assess perceived ease of use of Truenat among Laboratory staff as a new diagnostic tool for TB in Nigeria. This study used a cross-sectional design. All trained Laboratory personnel operating the Truenat Duo equipment in…

  • Iterative evaluation of mobile computer-assisted digital chest x-ray screening for TB improves efficiency, yield, and outcomes in Nigeria

    Open Access•Rupert A Eneogu, Rupert Eneogu et al.•ARTICLE•PLOS Global Public Health•2024

    Wellness on Wheels (WoW) is a model of mobile systematic tuberculosis (TB) screening of high-risk populations combining digital chest radiography with computer-aided automated detection (CAD) and chronic cough screening to identify presumptive TB clients in communities, health facilities, and prisons in Nigeria. The model evolves to address technical, political, and sustainability challenges. Screening methods were iteratively refined to balance …

No prominent works on this page.

  • Perceived ease of use of Truenat among laboratory staff as a new diagnostic tool for TB in Nigeria

    Open Access•Austin Ihesie, Nkiru Nwokoye et al.•ARTICLE•PLOS Global Public Health•2024

    In January 2020, WHO released a rapid communication on use of molecular assays as initial tests for diagnosis of tuberculosis, recommending Truenat as a replacement for smear microscopy in TB diagnosis. This study was designed to assess perceived ease of use of Truenat among Laboratory staff as a new diagnostic tool for TB in Nigeria. This study used a cross-sectional design. All trained Laboratory personnel operating the Truenat Duo equipment in…

  • Iterative evaluation of mobile computer-assisted digital chest x-ray screening for TB improves efficiency, yield, and outcomes in Nigeria

    Open Access•Rupert A Eneogu, Rupert Eneogu et al.•ARTICLE•PLOS Global Public Health•2024

    Wellness on Wheels (WoW) is a model of mobile systematic tuberculosis (TB) screening of high-risk populations combining digital chest radiography with computer-aided automated detection (CAD) and chronic cough screening to identify presumptive TB clients in communities, health facilities, and prisons in Nigeria. The model evolves to address technical, political, and sustainability challenges. Screening methods were iteratively refined to balance …

  • Operational feasibility of the ultra-portable digital X-rays with Computer-Aided Detection (CAD) for community active case finding for TB in Nigeria

    Open Access•Sani Useni, Rupert Eneogu et al.•ARTICLE•PLOS Global Public Health•2025

    Nigeria received 10 Ultra-Portable digital X-rays (UPDX) with Computer-Aided Detection (CAD) from the Stop TB Partnership, as part of the USAID-funded introducing New Tools Project (iNTP). The UPDX machines (Delft Light systems) were deployed to 8 states for TB screening and triaging algorithms for early TB detection. This study sought to explore the perspectives of health workers and clients on the operational feasibility and ease-of-use of the …

  • Evaluating the health impact, health-system costs and cost-effectiveness of using TrueNat on stool samples compared to usual care for the diagnosis of paediatric tuberculosis in primary care settings

    Open Access•Nyashadzaishe Mafirakureva, Olugbenga Kayode Daniel et al.•ARTICLE•PLOS Global Public Health•2025

    The World Health Organisation (WHO) recommends rapid molecular diagnostics to improve bacteriological confirmation of tuberculosis in children. TrueNat MTB, MTB Plus and MTB-RIF Dx assays (Molbio Diagnostics, India), recommended by WHO, hold potential as point-of-care tests in resource-limited settings. Using stool samples with these assays could enhance testing access, improve linkage to care, reduce costs, and increase cost-effectiveness over t…

Tuberculosis (4 works) · Medicine (3 works) · Tuberculosis Research and Epidemiology (3 works) · Case finding (2 works) · COVID-19 diagnosis using AI (2 works) · Family medicine (2 works) · Health care (2 works) · Mycobacterium research and diagnosis (2 works) · Pathology (2 works) · Pneumonia and Respiratory Infections (2 works)

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