Professor Samuel Manda is a lecturer at the Department of Statistics

His research interests include: Methods research concentrates on Bayesian modelling, analysis of survival and longitudinal studies, design and analysis of health surveys, spatial modelling, and developing innovative statistical models and analysis for research evidence combination and assembled complex and big datasets on critical African health issues such as women and child health, HIV and NCDs). 

Application research focuses on health, epidemiology, and health systems in the sub-Saharan Africa. Designing of clinical trials and impact evaluation of programs and interventions. He is currently working on small area estimation methods, causal inference of health outcomes and coverage; and COVID-19 burden estimation, modelling, and prediction in sub-Saharan Africa.