{"id":5295,"date":"2025-11-28T13:52:06","date_gmt":"2025-11-28T11:52:06","guid":{"rendered":"https:\/\/cvja.co.za\/journal\/?p=5295"},"modified":"2026-05-05T14:25:26","modified_gmt":"2026-05-05T12:25:26","slug":"cvja-2025-085","status":"publish","type":"post","link":"https:\/\/cvja.co.za\/journal\/cvja-2025-085\/","title":{"rendered":"Data science applications for non-communicable disease prevention and control in Africa: a systematic review protocol"},"content":{"rendered":"
\r\n
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\r\n \r\n \r\nAkinkunmi Paul Okekunle, Muideen Tunbosun Olaiya, Paul Olowoyo, Grace Ajuwon, Alison Annet Kinengyere, Judit Kumuthini, Osahon Jeffery Asowata, Onoja Matthew Akpa, Adekunle Fakunle, Shakuntala Baichoo, Folakemi Odedina, Yosr Hamdi, Charles Agyemang, Bruce Ovbiagele, Mayowa Owolabi\r\n<\/div> \r\n<\/div> \r\n
\r\n Copyright:<\/strong> Clinics Cardive Publishing (Pty) Ltd. publisher\r\n of Cardiovascular Journal of Africa.<\/div>\r\n
<\/div> \r\n
\r\n
\r\n Abstract \r\n <\/div> \r\n \r\n
\r\n \r\n \r\n \r\n \r\n\r\n Aim:<\/strong> \r\n \r\nThis systematic review protocol describes the proposed method for evaluating evidence from original articles to understand the benefits, opportunities, and challenges of using data science for non-communicable disease (NCD) prevention and control in Africa.
\r\n\r\n Methods:<\/strong> \r\n \r\nLiterature searches will be implemented in five scientific databases and one search engine using predefined keywords\/MeSH terms to identify relevant articles. At least two reviewers will independently screen, appraise, extract, and summarise data from eligible articles using predefined inclusion criteria.\r\n
\r\n \r\n Results:<\/strong> \r\nThis systematic review will consider primary studies from articles that applied data science methods (such as artificial intelligence, machine learning, and risk or prognosis model algorithms, among others) to address NCD prevention and control exclusively among Indigenous Africans.\r\n
\r\n \r\n \r\n Conclusion:<\/strong> \r\n \r\nFindings from this systematic review could serve as a roadmap to guide future initiatives to apply data science methods to revolutionise NCD prevention and control in Africa.\r\n
\r\n \r\n\r\n \r\n <\/div> \r\n <\/div> \r\n \r\n \r\n
\r\n \r\n Keywords:<\/strong> \r\n \r\n machine learning, artificial intelligence, non-communicable diseases, surveillance, Africa<\/strong> \r\n \r\n <\/div> \r\n \r\n
\r\n \r\n Submitted:<\/strong> July 10, 2024; \r\n Accepted:<\/strong> April 30, 2025; \r\n Published:<\/strong> November 28, 2025
\r\n Cardiovasc J Afr 2025; 36<\/b>: 603-611<\/em>\r\n
Volume 36, Issue 4<\/strong>
\r\n <\/div> \r\n \r\n
\r\n DOI Citation Reference: dx.doi.org\/10.5830\/CVJA-2025-085 \r\n <\/div> \r\n \r\n
\r\n\r\nDepartment of Medicine, College of Medicine, University of Ibadan, 200284, Nigeria.\r\n<\/strong>
\r\nAkinkunmi Paul Okekunle
\r\nAdekunle Fakunle
\r\nMayowa Owolabi\r\n

\r\n\r\nResearch Institute of Human Ecology, Seoul National University, 08826, Korea.\r\n<\/strong>
\r\nAkinkunmi Paul Okekunle\r\n

\r\n\r\nSchool of Clinical Sciences, Monash University, Clayton, VIC, Australia.\r\n<\/strong>
\r\nMuideen Tunbosun Olaiya\r\n

\r\n\r\nCollege of Medicine and Health Sciences, Afe Babalola University, Nigeria.\r\n<\/strong>
\r\nPaul Olowoyo\r\n

\r\n\r\nE. Latunde Odeku Medical Library, College of Medicine, University of Ibadan, 200284, Nigeria.\r\n<\/strong>
\r\nGrace Ajuwon\r\n

\r\n\r\nSir Albert Cook Library, College of Health Sciences, Makerere University, Kampala, Uganda.\r\n<\/strong>
\r\nAlison Annet Kinengyere\r\n

\r\n\r\nSouth African National Bioinformatics Institute, University of Western Cape, South Africa.\r\n<\/strong>
\r\nJudit Kumuthini\r\n

\r\n\r\nDepartment of Epidemiology and Medical Statistics, University of Ibadan, 200284, Nigeria.\r\n<\/strong>
\r\nOsahon Jeffery Asowata
\r\nOnoja Matthew Akpa\r\n

\r\n\r\nDepartment of Digital Technologies, FoICDT, University of Mauritius, Reduit, Mauritius.\r\n<\/strong>
\r\nShakuntala Baichoo\r\n

\r\n\r\nMayo Clinic Comprehensive Cancer Center, Jacksonville, FL 32224, United States.\r\n<\/strong>
\r\nFolakemi Odedina\r\n

\r\n\r\nLaboratory of Biomedical Genomics and Oncogenetics, Institut Pasteur de Tunis, 1002 Tunisia.\r\n<\/strong>
\r\nYosr Hamdi\r\n

\r\n\r\nAmsterdam Public Health Research Institute, Department of Public & Occupational Health, Amsterdam University Medical Center, University of Amsterdam, 1105AZ Amsterdam.\r\n<\/strong>
\r\nCharles Agyemang\r\n

\r\n\r\nWeill Institute for Neurosciences, University of California San Francisco, United States.\r\n<\/strong>
\r\nBruce Ovbiagele\r\n

\r\n\r\nCenter for Genomic and Precision Medicine, College of Medicine, University of Ibadan, 200284, Nigeria.\r\n<\/strong>
\r\nMayowa Owolabi\r\n

\r\n \r\n\r\n [soshsc hide=\"logged\"]\r\n You need to be logged in to view and download<\/a> the full text PDF version. Register for a free account?<\/a><\/strong>

[\/soshsc]\r\n \r\n \r\n \r\n <\/div>\r\n \r\n<\/div>","protected":false},"excerpt":{"rendered":"

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