Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings

Maternal and perinatal mortality remain huge challenges globally, particularly in low- and middle-income countries (LMICs) where >98% of these deaths occur. Emergency obstetric care (EmOC) provided by skilled health personnel is an evidence-based package of interventions effective in reducing the...

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Bibliographic Details
Main Authors:	Aduragbemi, Banke-Thomas, Macharia, Peter M, Makanga, Prestige Tatenda, Beňová, Lenka, Wong, Kerry L M, Gwacham-Anisiobi, Uchenna, Wang, Jia, Olubodun, Tope, Ogunyemi, Olakunmi, Afolabi, Bosede B, Ebenso, Bassey, Omolade Abejirinde, Ibukun-Oluwa
Format:	Article
Language:	English
Published:	PubMed Central 2022
Subjects:	big data digital technology emergency obstetric care equity travel time
Online Access:	http://hdl.handle.net/11408/5178
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Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings