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Resource Tag: Analysis

Webinar | Introduction to the TB Data Hub

Webinar | Introduction to the TB Data Hub
Author(s): TB DIAH
Year: 2022
Filed under: Analysis, Data, data analysis, data hub, demo, demonstration, hub, TB data, tb data hub, Tuberculosis, visualization, webinar
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Webinar | Global Preview: TB Performance-Based Monitoring and Evaluation Framework and TB Monitoring & Evaluation e-Learning Course

Webinar | Global Preview: TB Performance-Based Monitoring and Evaluation Framework and TB Monitoring & Evaluation e-Learning Course
Year: 2024
Filed under: Analysis, Course, e-learning, elearning, Framework, Guidance, Guidance and Tools, Indicators, learning, monitoring and evaluation, online course, online learning, PBMEF, performance based monitoring and evaluation, Reporting, TB, TB data, TB indicators, Tools, Tuberculosis, USAID, webinar
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Supporting NTPs with TB DIAH’s ARC Tool

Supporting NTPs with TB DIAH’s ARC Tool
Author(s): TB DIAH
Year: 2024
Filed under: Analysis, analysis capacity, ARC, ARC tool, Assessment, Data, data analysis, data collection, data hub, data reporting, Indicators, landscape analysis, Mission, Missions, Monitoring, monitoring and evaluation, National TB programs, NTP, PBMEF, performance based monitoring and evaluation, Reporting, Surveillance, surveillance system, TB, TB surveillance, Tuberculosis, USAID
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Success Story: Tuberculosis Monitoring and Evaluation Trainings in Democratic Republic of Congo

Success Story: Tuberculosis Monitoring and Evaluation Trainings in Democratic Republic of Congo
Year: 2024
Filed under: Analysis, Congo, Democratic Republic of Congo, DR Congo, DRC, NTP, PNLT, program, success story, TB, TB system, Tuberculosis
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Harnessing the power of routine health facility data: Tuberculosis

Harnessing the power of routine health facility data: Tuberculosis
Author(s): WHO Academy
Filed under: Analysis, Course, Data, data analysis, e-course, e-learning, facility data, health facility, health facility data, learning, program planning, routine, routine data, TB, tb course, TB data, Tuberculosis, WHO, WHO Academy
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Association between averaged meteorological factors and tuberculosis risk: A systematic review and meta-analysis

Association between averaged meteorological factors and tuberculosis risk: A systematic review and meta-analysis
Author(s): Tianyu Qin, Yu Hao, You Wu, Xinli Chen, Shuwen Zhang, Mengqi Wang, Weifeng Xiong, Juan He
Year: 2022
Filed under: Analysis, climate change, factors, HDI, human development index, Journal Article, meta-analysis, meteorological, Public Health, Review, study, TB, Tuberculosis
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Data-to-Action Continuum: Introduction to the D2AC Model and Toolkit

Data-to-Action Continuum: Introduction to the D2AC Model and Toolkit
Author(s): Chauffour J, Silver M, Garcia-Mendoza Y, Boone D
Year: 2022
Filed under: Analysis, Assessment, continuum, Data, data collection, data for action, data to action, field test, field testing, Guidance, Guidance and Tools, model, Research, systems, Tool, Toolkit, Workshop
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Tuberculosis Monitoring and Evaluation Post-Training Capacity Assessment (Cambodia)

Tuberculosis Monitoring and Evaluation Post-Training Capacity Assessment (Cambodia)
Author(s): TB DIAH
Year: 2022
Filed under: Accountability, Analysis, Cambodia, capacity, capacity assessment, CENAT, COMMIT, Data, data processing, Data quality, data reporting, Evaluation, Indicators, Monitoring, NTP, Report, Reporting, TB programs, TB training, trainers, Training, Training of trainers, Tuberculosis
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The Potential Impact of the COVID-19 Response on Tuberculosis in High-Burden Countries: A Modelling Analysis

The Potential Impact of the COVID-19 Response on Tuberculosis in High-Burden Countries: A Modelling Analysis
Author(s): Stop TB Partnership
Year: 2020
Filed under: Analysis, Coronavirus, COVID-19, India, Kenya, Notification, Report, TB burden, Ukraine
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Prevalence of Latent Tuberculosis among Health Care Workers in High Burden Countries: A Systematic Review and Meta-Analysis

Prevalence of Latent Tuberculosis among Health Care Workers in High Burden Countries: A Systematic Review and Meta-Analysis
Author(s): PLOS ONE
Year: 2016
Filed under: Analysis, Health workers, Journal Article, Latent TB, Prevalence, Research, Review, TB burden, TB control, Transmission
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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.