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Resource Tag: COE

Webinar: Using a Virtual Center of Excellence (COE) Model to Strengthen TB Monitoring and Evaluation

Webinar: Using a Virtual Center of Excellence (COE) Model to Strengthen TB Monitoring and Evaluation
Author(s): TB DIAH
Year: 2024
Filed under: center of excellence, COE, Eastern Europe, eastern europe and eurasia, EEE, eurasia, implementation, leadership, national center for disease control, national center for TB and lung disease, ncdc, NCTLD, region, regional, Sustainability, TB, Tuberculosis, USAID, virtual, webinar, WHO, World Health Organization
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Eastern Europe and Central Asia Regional Conference on TB Data Reporting, Analysis, and Use

Eastern Europe and Central Asia Regional Conference on  TB Data Reporting, Analysis, and Use
Author(s): TB DIAH
Year: 2024
Filed under: center of excellence, COE, EEE, Report, TB data, Workshop
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AI in TB M&E Training Webinar

AI in TB M&E Training Webinar
Year: 2023
Filed under: AI, artificial intelligence, center of excellence, chatbot, COE, English, Guidance and Tools, MELVIN, Monitoring, monitoring and evaluation, recording, Russian, TB, tb monitoring, Tools, Training, Tuberculosis, webinar
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Improving TB Monitoring, Evaluation, & Surveillance with a Virtual Center of Excellence Model

Improving TB Monitoring, Evaluation, & Surveillance with a Virtual Center of Excellence Model
Year: 2022
Filed under: COE, poster, Union
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Eastern Europe and Eurasia Region Center of Excellence in TB Monitoring & Evaluation and Surveillance: Regional Consultative Meeting

Eastern Europe and Eurasia Region Center of Excellence in TB Monitoring & Evaluation and Surveillance: Regional Consultative Meeting
Author(s): TB DIAH
Year: 2022
Filed under: Accelerator, COE, EEE, TB data, TB M&E, TB surveillance
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TB DIAH Project
University of North Carolina
123 West Franklin Street, Suite 330
Chapel Hill, North Carolina 27516 USA
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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.