Dr. Dan Kajungu

Dr. Dan Kajungu has been appointed the Executive Director of the Makerere University Centre for Health and Population Research (MUCHAP) and Site Leader of the Iganga Mayuge Health and Demographic Surveillance Site (IMHDSS).

Dr. Kajungu holds a Bachelor of Statistics (Computing) from Makerere University, Kampala, Uganda, an Msc. Applied Statistics (Data mining) (2005), Limburg Universitair Centrum (LUC), Belgium, an Msc. Biostatistics (Epidemiology) (2006), Universiteit Hasselt (formally LUC), Belgium and a PhD in Public Health from Université catholique de Louvain, Belgium. He successfully defended his PhD (Public Health) on Data mining methods for pharmacovigilance in Africa in 2015.

He has more than 10 years of working experience in health and health research. Dan lived in Tanzania for over three years, working with INESS project an INDEPTH Network’s phase IV platform for health systems and epidemiological research within the framework of the health and demographic surveillance sites (HDSS) in Tanzania, Ghana, Mozambique and Burkina Faso. In his position he supported HDSS sites in those countries to implement community and health facility based studies while exploring the health systems effectiveness of interventions and safety monitoring of anti-malarial drugs in Africa.

His previous employers include the Malaria Consortium, Mildmay Uganda, INDEPTH Network, Uganda Malaria Surveillance Project/Liverpool University, Medical Research Council program on AIDs in Uganda. He has managed and analysed large datasets from hospitals, clinical trials and community surveys. He has worked both as team leader and a member of a number of consultancies. He has (co)-authored technical reports and several papers in peer reviewed journals.

His main interests are biostatistics, epidemiology, data mining, health systems research and evaluations with a special interest in diseases like tuberculosis, malaria and HIV, drug safety monitoring and pharmacovigilance. His drug safety research focused on use of data mining and biostatistical methods to evaluate rational drug use and prescription practices in addition to safety signal detection and evaluation using data from Africa. He has (co)authored publications in peer reviewed journals; taught and supervised a number of Msc students.