The University of Gondar has established the Dabat Health and Demographic Surveillance System (Dabat HDSS) site in 1996 (6). The HDSS site covers three geo-climatic zones (ደጋ/cold, ወይናደጋ/temperate and ቆላ/hot). Currently, the Dabat HDSS site includes 13 Kebeles (4 urban and 9 rural), over 21,000 households and 70,000 population from the Dabat district to generate longitudinal information on vital events (birth, death, migration, and marital status changes) and to estimate population-level cause of deaths using verbal autopsy method. However, the total population, the ecology diversity, and the health problems dynamicity of the Dabat district are not enough to estimate the actual health problems of Gondar. Hence, the Dabat HDSS site is expanded to Gondar and Gorgora HDSS sites considering urban population dynamicity, ecology diversity, trans-boundary population movement, and water source (e.g. Lake, Sea, and Dam) induced public health problems. The Gondar and Gorgora HDSS sites are established on April 10, 2021, after a launching workshop is conducted in the presence of top University management and stakeholders from Gondar and Gorgora.
Dabat, Gondar and Gorgora HDSS sites, collectively known as Dabat Research Center (DRC), aim to develop and evaluate a system for continuous registration of health and health-related, and socioeconomic indicators through population-level longitudinal research.
DRC is committed to generate quality longitudinal data for quality research and improve population health by generating scientific evidence, establishing well-defined study population and sampling frame for various research designs, and providing quality research laboratory services for public health interventions.
DRC aspires to be one of the top ten HDSS sites in East Africa, generating longitudinal data on vital events by the end of 2030.
- – Quality research
- – Collaboration
- – Sustainability
- – Community Engagement
- – Transparency and Accountability
- – Respect to humanity
- – Solidarity
- – Inclusiveness
- Generate longitudinal data on vital events (birth, death, migration, marriage, etc.)
- Identify population level causes of deaths using verbal autopsy method
- Conduct molecular to population level research on priority problems of the society
- Provide relevant and timely information for evidence-based decision making at household and individual levels and support research undertakings
- Build and strengthen research and training capacity
- Develop local capacity in the prevention and control of disease