Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: a scoping review protocol

Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: a scoping review protocol

Introduction Application of data science in maternal, newborn, and child health (MNCH) across Africa is variable with limited documentation. Despite efforts to reduce preventable MNCH morbidity and mortality, progress remains slow. Accurate data are crucial for holding countries accountable for trac...

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Main Authors: Eric Ohuma, Agbessi Amouzou, Abiy Seifu Estifanos, Phillip Wanduru, Samson Yohannes Amare, Joseph Akuze, Bancy Ngatia, Grieven P Otieno, Rornald M Kananura, Kirakoya-Samadoulougou Fati
Format: Article
Language:English
Published: BMJ Publishing Group 2024-12-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/14/12/e091883.full
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