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IHME Offers Training on Subnational Burden of Disease Estimation in Ethiopia

IHME Offers Training on Subnational Burden of Disease Estimation in Ethiopia
September 2, 2022NDMCFront PageNews

The Institute for Health Metrics and Evaluation (IHME) offered training on the sub-national burden of disease estimation on August 31 and September 1, 2022, at Raddison BLU hotel, Addis Ababa. The National Data Management Center for Health (NDMC) took the role of organizing the training; the whole training aimed to capacitate staff members of MOH, EPHI, GBD collaborators, researchers from universities, and representatives of Health and Demographic Surveillance sites (HDSS), officers from regional public health institutes and regional health bureaus on the sub-national burden of disease estimation. In the technical sense, it focused on estimating the burden and distribution of diseases in small areas. In that regard, demographics, causes of death, non-fatal health outcomes, risk factors, and policy applications were the areas given the emphasis in the training. By far, the Global Burden of Disease (GBD) has provided tools to quantify health loss from hundreds of diseases, injuries, and risk factors. The aim of doing so is to improve health systems and eliminate disparities.

The training was given by Proffessor Mohsen Naghavi (Director of subnational burden of diseases estimation at IHME, University of Washington), Dr. Awoke Misganaw (Clinical assistant professor of IHME and senior researcher at NDMC-EPHI), and Ally Walker (Engagement Officer of IHME).

In an effort to achieve its goal of offering to the world timely, relevant, and scientifically valid evidence to improve health policy and practice, IHME collaborates with the Ethiopian Public Health Institute–NDMC, and has established a unit studying and documenting burden of disease at a national level.

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The National Data Management Center for health (NDMC) at the Ethiopian Public Health Institute (EPHI) is a responsible center to centrally archive health and health related data, process and manage health research, apply robust data analytic technics, synthesis evidence and to ensure evidence utilization for decision making by the Federal Ministry of Health (FMoH)

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