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...

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Bibliographic Details
Main Authors: Aduragbemi Banke-Thomas, Peter M. Macharia, Prestige Tatenda Makanga, Lenka Beňová, Kerry L. M. Wong, Uchenna Gwacham-Anisiobi, Jia Wang, Tope Olubodun, Olakunmi Ogunyemi, Bosede B. Afolabi, Bassey Ebenso, Ibukun-Oluwa Omolade Abejirinde
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Public Health
Subjects:
urbanization and developing countries
emergency obstetric care
access
equity
travel time
big data
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.931401/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.931401/full

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