The DELTAS Africa Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training programme is funded by the Wellcome Trust in partnership with the Science for Africa Foundation. The University of the Witwatersrand, Johannesburg is the Lead Institution.
The consortium brings together seven partners:
Northern Universities:
The overall goal of SSACAB-II is to build biostatistical research excellence through answering questions of practical policy relevance to improve population health. To achieve this goal, SSACAB-II has developed seven cutting-edge biostatistical research questions (RQs) relating to urgent health needs in Sub-Saharan Africa (SSA):
- RQ1. How can machine learning and artificial intelligence (AI) algorithms be used to enhance population-based prevention of, and personalised treatment for, communicable and non-communicable diseases in Africa?
- RQ2. How will the spatial and temporal methods be used to support an understanding and response of the impact of climate variability and change on human health and development in Africa?
- RQ3. Can we identify the relationship between personal characteristics, environmental changes and diseases through causal modelling and structural equational modelling?
- RQ4. How can we use observational data to assess interventions where clinical trials are unethical or to evaluate ongoing public health interventions?
- RQ5. What methods can be used to account for missing data in health research?
- RQ6. How can we use bioinformatics to enable laboratories and research institutions in Africa to analyse their own -omics data?
- RQ7. What biostatistics methods can be used for data triangulation and synthesis of evidence?
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