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

par Akuze, Joseph;Ngatia, Bancy;Amare, Samson Yohannes;Wanduru, Phillip;Otieno, Grieven P;Kananura, Rornald RM;Kirakoya, Fati ;Amouzou, Agbessi;Estifanos, Abiy Seifu;Ohuma, Eric
Référence BMJ open, 14, 12, page (e091883)
Publication Publié, 2024-12

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Titre:	Unlocking the transformative potential of data science in improving maternal, newborn and child health in Africa: a scoping review protocol.
Auteur:	Akuze, Joseph; Ngatia, Bancy; Amare, Samson Yohannes; Wanduru, Phillip; Otieno, Grieven P; Kananura, Rornald RM; Kirakoya, Fati; Amouzou, Agbessi; Estifanos, Abiy Seifu; Ohuma, Eric
Informations sur la publication:	BMJ open, 14, 12, page (e091883)
Statut de publication:	Publié, 2024-12
Sujet CREF:	Santé publique
Mots-clés:	Digital Technology
	EPIDEMIOLOGY
	PUBLIC HEALTH
MeSH keywords:	Humans
	Africa
	Child Health
	Infant, Newborn
	Infant Health
	Maternal Health
	Data Science
	Female
	Child
	Research Design
	Infant
	Pregnancy
Langue:	Anglais
Identificateurs:	urn:issn:2044-6055
	info:doi/10.1136/bmjopen-2024-091883
	info:pii/bmjopen-2024-091883
	info:pmid/39658287