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Resource Tag: TB data

Data for action: Collecting and using local data to more effectively fight tuberculosis

Data for action: Collecting and using local data to more effectively fight tuberculosis
Author(s): Theron, G., Jenkins, H. E., Cobelens, F., Abubakar, I., Khan, A. J., Cohen, T., & Dowdy, D. W.
Year: 2016
Filed under: data for action, Journal Article, local data, TB data
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Tuberculosis surveillance and monitoring in Europe 2022 (2020 data)

Tuberculosis surveillance and monitoring in Europe 2022 (2020 data)
Author(s): World Health Organization
Year: 2022
Filed under: Europe, Monitoring, Report, TB data, TB surveillance
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Research gaps in transforming tuberculosis data to action for better health outcomes: A systematic literature review

Research gaps in transforming tuberculosis data to action for better health outcomes: A systematic literature review
Author(s): Manish Kumar, Meredith Silver, Jeanne Chauffour, Colleen Boyle, David Boone
Year: 2021
Filed under: D2A, data to action, Journal Article, Literature review, NTPs, Research, TB data, TB programs
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Comparison of Survey Results to Evaluate the Availability, Readiness, and Quality of the Uganda Tuberculosis Diagnosis Network

Comparison of Survey Results to Evaluate the Availability, Readiness, and Quality of the Uganda Tuberculosis Diagnosis Network
Author(s): TB DIAH
Year: 2021
Filed under: assessement, Diagnosis, Diagnostics, Evaluation, National TB programs, network, Prevention, QTSA, Report, TB data, Treatment, Uganda
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The South African Tuberculosis Care Cascade: Estimated Losses and Methodological Challenges

The South African Tuberculosis Care Cascade: Estimated Losses and Methodological Challenges
Author(s): The Journal of Infectious Diseases
Year: 2017
Filed under: Cascade of care, End TB, Intervention, Journal Article, Mortality, Research, South Africa, TB data
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Sensitivity, completeness and agreement of the tuberculosis electronic system in Ho Chi Minh City, Viet Nam

Sensitivity, completeness and agreement of the tuberculosis electronic system in Ho Chi Minh City, Viet Nam
Author(s): Public Health Action
Year: 2017
Filed under: Electronic, Health Information Systems, HIV, Journal Article, Register, Research, TB data, Technology, Vietnam
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Counting on Us: An Analysis of the Roots of Variability in Mortality Among TB Patient Cohorts in Ethiopia, Ghana, Kenya, Mozambique and Zambia and its implications for Monitoring and Evaluation of TB/HIV Care

Counting on Us: An Analysis of the Roots of Variability in Mortality Among TB Patient Cohorts in Ethiopia, Ghana, Kenya, Mozambique and Zambia and its implications for Monitoring and Evaluation of TB/HIV Care
Author(s): TB Care I
Year: 2014
Filed under: Data quality, Ethiopia, Evaluation, Ghana, Kenya, M&E, Monitoring, Mortality, Mozambique, Report, Surveillance, TB and HIV, TB data, Zambia
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Innovations in TB Data Quality: An M&E Workshop Facilitators Guide

Innovations in TB Data Quality: An M&E Workshop Facilitators Guide
Author(s): TB Care I
Year: 2014
Filed under: Data quality, Guidance and Tools, Innovation, M&E, NTP, program management, TB data, Training, Workhop
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Understanding and Using Tuberculosis Data

Understanding and Using Tuberculosis Data
Author(s): World Health Organization
Year: 2014
Filed under: Data use, Guidance and Tools, Handbook, M&E, Notificiation, Surveillance, TB data
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WHO’s Global Tuberculosis Database

Author(s): World Health Organization
Year: 2019
Filed under: Data, Report, TB burden, TB data
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The TB DIAH project is part of USAID's performance-based measures to end TB—the Global Accelerator to End Tuberculosis. This TB DIAH website features a data hub, guidance, and tools to support the work of the global TB community. TB DIAH makes possible optimal analysis and use of TB data to inform national TB programs, policies, and USAID-supported interventions.

This information was produced with the support of the United States Agency for International Development (USAID) under the terms of the TB Data, Impact Assessment and Communications Hub (TB DIAH) Associate Award No. 7200AA18LA00007. TB DIAH is implemented by the University of North Carolina at Chapel Hill, in partnership with John Snow, Inc. Views expressed are not necessarily those of USAID or the United States government.