Leveraging data science to understand and address multimorbidity in sub-Saharan Africa: The MADIVA protocol
Glover, K., Osler, T., Adetunji, K., Akumu, T., Asiki, G., Awuor, D., Boua, P., Bronstein, V., Byamugisha, J., du Toit, J. D., Dwolatzky, B., George, J., Harris, P. A., Herbst, K., Hofman, K., Holden, C., Iddi, S., Kadengye, D. T., Kahn, K. & Kamp, M.
& 30 others,
Khoza, N., Kimongo, F., Kisiangani, I., Kogda, D. E., Klipin, M., Levitt, S. P., Maghini, D., Maila, K., Maimela, E., Nderitu, D. M., Makondo, N., Maoyi, M. L., Mashaba, R. G., Masilela, N. G., Mathema, T., Mpangase, P. T., Nyachowe, D. T., Ohene-Kwofie, D., Robertson, H., Speakman, S., Thsehla, E., Thwala, S. A., Zent, R., Gómez-Olivé, F. X., Kabudula, C. W., Owili, P. O., Kyobutungi, C., Ramsay, M., Tollman, S. & Hazelhurst, S.,
10 Jul 2025,
In: BMJ Health and Care Informatics. 32,
1, e101294.
Research output: Contribution to journal › Article* › Academic › peer-review