Dr. Clement Tetteh Narh is an Epidemiologist-Statistician and Research Fellow in the Department of Epidemiology and Biostatistics at the School of Public Health, University of Health and Allied Sciences. He is currently a Visiting Scientist to the Environment and Lifestyle Epidemiology Branch of the WHO International Agency for Research on Cancer (IARC). Until he joined the University, he was a Senior Data Manager with the Dodowa Health Research Centre (DHRC). As a centre with international collaborations, he worked closely with other Health and Demographic Surveillance Sites (HDSS sites), Expanded Programme on Immunization (EPI) offices across Africa, African Intussusception Network, WHO/AFRO surveillance sites for diarrhoea and Invasive Bacterial Diseases (IBDs) among others. He is a consultant on the Comprehensive Health and Epidemiological Surveillance System been piloted by the INDEPTH Network in Nanoro, Burkina Faso. He is a Clinical Trialist by training.
He pursued a PhD in Epidemiology and Biostatistics at the Institute for Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Centre of the Johannes Gutenberg University, Mainz, Germany under the German Academic Exchange Service (DAAD) and Government of Ghana (GoG) scholarship. He also holds a Higher National Diploma (HND) from the Accra Polytechnic, a BSc. (Statistics) from the University of Cape Coast, and an MSc. (Clinical Trials) from the University of Ghana. All degrees were acquired in Ghana, except PhD.
He lectures both graduate and undergraduate courses such as Introduction to Population and Health, Health Data Management, Data Analysis and Presentation, Disease Control Database Management, and Clinical Classification and Coding of Data. He also served as a Clinical Research Coordinator (CRC) for two and supervises BPH dissertations in the School of Public, Hohoe campus.
Dr. Narh’s area of expertise spans health data management, essentially, malaria, rotavirus, EPI, vaccine trials among others. His newfound interest is in statistical modelling of Non-Communicable Diseases (NDCs) and cancer etiological methods.