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MADIVA (Multimorbidity in Africa: Digital innovation, visualisation and application)

The following grant was awarded by, is supported by, is administered by or is in partnership with the Fogarty International Center at the U.S. National Institutes of Health (NIH).

Funding Fogarty Program

Data Science for Health Discovery and Innovation in Africa (DS-I Africa)

Project Information in NIH RePORTER

MADIVA (Multimorbidity in Africa: Digital innovation, visualisation and application)

Principal Institution

Wits Health Consortium (Pty) Limited (WHC)

Principal Investigator(s) (PI)

Hazelhurst, Scott; Kyobutungi, Catherine; Ramsay, Michele Michele; Tollman, Stephen

Project Contact Information

scott.hazelhurst@wits.ac.za

Year(s) Awarded

2021–2026

Country

Kenya; South Africa

Collaborators

African Population and Health Research Center (Nairobi, Kenya)
IBM Research Africa
South African Population Research Infrastructure Network
Vanderbilt University Medical Center
See Project Description for additional collaborators.

NIH Partners

NIBIB, OD/NIH

Project Description

The MADIVA Research Hub will develop data science techniques and solutions to tackle the problem of multimorbidity in Africa – the problem of multiple co-occurring diseases significantly adding to the health burden in Africa. The primary research sites in rural Bushbuckridge, South Africa, and urban Nairobi, Kenya, each have rich data sets from longitudinal studies collected by the health and demographic surveillance systems based there, together with a nascent set of clinical health records and genomic data. MADIVA will develop and apply data science techniques to link the different data sets, build dashboards for different stakeholders and apply new machine learning techniques to automatically stratify populations for risk profiles to different diseases, including the use of polygenic risk scores.

Additional Collaborators

Nairobi Metropolitan Services; Nairobi Metropolitan Services; Mpumalanga Province, South Africa; Bushbackridge Local Municipality; Ministry of Health, Kenya; Joburg Centre for Software Engineering;



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