SSACAB’s research is organised around seven priority questions addressing major health challenges across Africa.

Each theme is led by a partner institution and supported by:

• PIs
• Postdoctoral theme leads
• PhD fellows
• MSc students
• Senior biostatistical mentorship
• Collaborative research institutions

SSACAB’s research is organised around seven priority questions, each led by a partner institution and its research team.

1. How can machine learning and artificial intelligence improve prevention and personalised treatment for communicable and non-communicable diseases in Africa?
2. How can spatial and temporal methods help us understand the health impacts of climate variability and change?
3. Can we identify links between personal, environmental, and social factors and disease using causal and structural equation modelling?
4. How can observational data be used to assess interventions where clinical trials are not feasible or ethical?
5. What advanced statistical methods can account for missing or incomplete health data?
6. How can African laboratories analyse their own genomic and other -omics datasets using local biostatistical expertise?
7. What statistical methods can combine multiple data sources to generate stronger evidence for policy and practice?