Coronavirus disease (COVID-19) pandemic

Estimating and presenting the magnitude of the disease, disease severity and mortality differential across demographic groups.

Scenario based modeling to predict total cases, hospitalization, ICU requirements and deaths with a Hybrid Model.

Welcome to NDMC


The National Data Management Center for Health (NDMC), under the Ethiopian Public Health Institute (EPHI), is responsible to archive health related data. Distinctively, the center shoulders the responsibility of processing and managing researches on community health. Besides, the center is known to apply robust data analytic techniques to apply synthesis evidence. That, on its part, has been an input to ensure evidence utilization for decision making by the Federal Ministry of Health (FMoH) and other relevant stakeholders at all levels. NDMC has collaborative partnership with the Institute for Health Metrics and Evaluation (IHME) at the University of Washington, and has established a unit studying and documenting burden of disease at a national level.

COVID 19 Quick Update

Units of NDMC

This unit establishes a database for retrospective and prospective data types on identified research areas. It works with the data analytics team to archive and store data with standard formats.


The role of this unit is to sort out sources of data with their respective data types. Hence, the task of the team is engaged with analyzing retrospective and prospective data types that the center requires to process.


Data to Action is a unit formed with the purpose of filtering, interpreting, adapting, contextualizing, disseminating and communicating evidences for the purpose of decision making.



The role of this unit is to support the health sector’s health transformation agenda and its commitment to evidence-based policymaking in Ethiopia.

This unit measures the national and sub-national burden of diseases, and tracks the progress and achievements of health in Ethiopia. The team applies methods and procedures used by the Global Burden of Diseases (GBD) to provide possible estimates.


Partners and collaborators

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