Towards an African-led model for strengthening capacity in medical statistics and epidemiology in sub-Saharan Africa: an equitable partnership approach

The demand for expertise in applied medical statistics and epidemiology in Africa exceeds the supply [1, 2] and it is rapidly increasing, with large-scale data sources such as electronic health records, bioimaging, genomics, social media, geospatial data, mobile phones, and wearable technology. In parallel, the expansion of statistical methods and tools (such as machine learning) means that it is essential to increase the number of people who are trained to analyse available data and stay abreast of methodological and technological advances for improving health in Africa. Rigorous study design and analysis are essential elements of good research and require well-trained, experienced statisticians who are integrated into research teams; a common misconception is that statisticians are only needed to analyse data rather than being an integral part of the research process.