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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

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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http://hdl.handle.net/11408/5178