Mr Dawit Zemedikun BSc, MSc, GradStat

Mr Dawit Zemedikun

Institute of Applied Health Research
Doctoral Researcher

Contact details

Murray Learning Centre
University of Birmingham
B15 2TT

Dawit is a Doctoral Researcher at the University of Birmingham in collaboration with Keele University. His work combines health econometrics, electronic health records (EHRs) research, and medical statistics. Dawit’s research aims to explore and quantify the costs associated with back pain on patients, the health care system and society as a whole in the UK which was last estimated nearly 20 years ago within a cost-of-illness study.


  • MSc in Medical Statistics, University of Leicester, 2016
  • Graduate Certificate in Statistics, University of Sheffield, 2015
  • BSc in Economics and Logistics, Norway, 2001


Dawit obtained his BSc in Economics and Logistics from Molde University College in Norway. After working for about 10 years in various capacities in the third sector and social housing sectors in the UK, he decided to re-focus his career into quantitative health research and completed a Graduate Certificate in Statistics in 2015 at University of Sheffield. This led to an MSc in Medical Statistics which he obtained in 2016 from University of Leicester. It was during this time Dawit developed an interest in database (electronic health records) studies and health econometrics for research, a work which is at the interface and integration of medical statistics and health economics. His MSc dissertation investigated multimorbidity patterns and associated factors in older adults using UK Biobank data. He used a novel application combining cluster analysis and data mining techniques to identify patterns of co-existence between chronic conditions which could then be used when developing clinical guidance for this population.

While on the MSc, Dawit was awarded a PhD studentship at University of Birmingham in collaboration with Keele University. His thesis investigates the economic burden of back pain in the UK identifying the direct cost and indirect components to present an updated account of the economic consequences. Alternative and appropriate econometric modelling techniques would be explored that could exploit current available routine data sources in the UK to appropriately predict the relationship between reported back pain and its consequent economic burden. The updated estimates of the economic burden of back pain will provide important information for clinicians, health care commissioners, and public health policy makers, and will inform economic evaluations of interventions to treat or prevent the consequences of back pain.

Doctoral research

PhD title
Exploring, quantifying and updating estimates of the economic burden of back pain in the UK using routine data. Expected year of completion: 2019 Supervisors: Tracy Roberts, Jesse Kigozi, Alessandra Guariglia, Gwenllian Wynne-Jones (Keele University), Majid Artus (Keele University)


Dawit’s primary research interest lies at the intersection of medical statistics and health economics. This includes statistical modelling of healthcare resource use and cost data, and cost-of-illness analysis. He is also interested in identification of disease clusters and patterns from large databases which can be used for developing integrated healthcare approach rather than single-disease focussed care.

Research groups and centres: Spinal Pain and Sciatica Research Group – Keele University


Research Gate:

Other activities

  • Professional membership of The Royal Statistical Society (RSS): Graduate Statistician (GradStat)
  • Membership of Health Economics study Group (HESG)


Zemedikun D.T, Gray L.J., Khunti K., Davies M., and Dhalwani N.N, (2018) ‘Patterns of multimorbidity in middle-age and older adults: An analysis of the UK Biobank data’, Mayo Clinic Proceedings (In Press).

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