Data Resource Profile: Multimorbidity in Africa Digital Innovation, Visualisation and Application (MADIVA) research hub
| dc.contributor.author | Iddi, S. | |
| dc.contributor.author | Glover, K. | |
| dc.contributor.author | Ohene-Kwofie, D. | |
| dc.contributor.author | et al. | |
| dc.date.accessioned | 2026-10-01T12:04:55Z | |
| dc.date.issued | 2026-06-25 | |
| dc.description | Research Article | |
| dc.description.abstract | The Multimorbidity in Africa Digital Innovation, Visualisation, and Application (MADIVA) research hub was established to facilitate the study of multimorbidity and associated risk factors, disease clustering, and stratification in African populations. The hub has harmonized and integrated data from population-based health and demographic surveillance system (HDSS) platforms from two sub-Saharan African settings representing both rural and urban populations. The platform consists of baseline population data collected from 1992 to 2024 in Agincourt, South Africa and from 2002 to 2019 in Nairobi, Kenya, with annual follow-ups and 10 nested health-related cohorts. The HDSS platforms contribute, overall, a total of >4 million person-years of observation from 574598 individuals (54.8% females, 45.2% males). The harmonized nested cohorts contribute 130550 observations on non-communicable diseases from 67478 individuals (58.7% females, 41.3% males; mean age 44.5 years; 19.34 SD). The main categories of the data include socio-demographic characteristics, household and individual socio-economic status, and self-reported and objectively measured histories of chronic diseases and their treatments, as well as lifestyle behaviours. In addition, genotyping data are available for �6000 individuals. Data from the MADIVA hub provide a valuable resource for the longitudinal analyses of multimorbidity patterns, exploration of disease clustering, and the development of context-specific public health interventions. Interested researchers can contact the hub at info@madiva.africa or visit https://www.madiva.africa. | |
| dc.description.sponsorship | Research reported in this publication was supported by the Fogarty International Center and National Institute of Biomedical Imaging and Bioengineering (NIBIB), the OD/Office of Strategic Coordination (OSC), and the Office of Data Science Strategy (ODSS) of the National Institutes of Health (under award number U54 TW 012077) and a Strategic Health Innovation Partnerships grant from the South African Medical Research Council (grant number N/A). The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. | |
| dc.identifier.citation | Ohene-Kwofie, D., Masilela, N., Glover, K., Iddi, S., Maina, D., Maoyi, M. L., ... & MADIVA Research Hub and the DS-I Africa Consortium Ohene-Kwofie Daniel Masilela Nkosinathi Glover Kerry Iddi Samuel Maina Daniel Maoyi Molulaqhooa Linda Mathema Theophilous Singini Mwiza Gideon Hazelhurst Scott Kabudula Chodziwadziwa Whiteson. (2026). Data Resource Profile: Multimorbidity in Africa Digital Innovation, Visualisation and Application (MADIVA) research hub. International Journal of Epidemiology, 55(4), dyag124. | |
| dc.identifier.uri | https://doi.org/10.1093/ije/dyag124 | |
| dc.identifier.uri | https://ugspace.ug.edu.gh/handle/123456789/45593 | |
| dc.language.iso | en | |
| dc.publisher | International Journal of Epidemiology | |
| dc.subject | Multimorbidity | |
| dc.subject | Sub-Saharan Africa | |
| dc.subject | Data Harmonization | |
| dc.subject | Health And Demographic Surveillance System | |
| dc.subject | Data Science | |
| dc.subject | Non-Communicable Diseases | |
| dc.title | Data Resource Profile: Multimorbidity in Africa Digital Innovation, Visualisation and Application (MADIVA) research hub | |
| dc.type | Article |