Data science applications for non-communicable disease prevention and control in Africa: a systematic review protocol

Findings 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.

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Publication Details

Journal
Cardiovascular journal of South Africa/Cardiovascular journal of Southern Africa
Published
2025-11-28
DOI
https://doi.org/10.5830/cvja-2025-085
Primary Topic
Global Public Health Policies and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Data science applications for non-communicable disease prevention and control in Africa: a systematic review protocol

Cardiovascular journal of South Africa/Cardiovascular journal of Southern Africa
Global Public Health Policies and Epidemiology
article

Data science applications for non-communicable disease prevention and control in Africa: a systematic review protocol

article en

Abstract

Findings 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.

Cardiovascular journal of South Africa/Cardiovascular journal of Southern AfricaVol. 36(4)
University of California, San Francisco (US), University of Ibadan (NG), Jacksonville College (US), Afe Babalola University (NG), South African National Biodiversity Institute (ZA), National University College (PR), Institut Pasteur de Tunis (TN), Mayo Clinic in Florida (US), Public Health Service of Amsterdam (NL), Monash University (AU), University of Mauritius (MU), Makerere University (UG), University of Amsterdam (NL)
Openalex Percentile: Top 33%
Global Public Health Policies and Epidemiology
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Data science applications for non-communicable disease prevention and control in Africa: a systematic review protocol · Cardiovascular journal of South Africa/Cardiovascular journal of Southern Africa (2025) | TGRS Research Map | TGRS