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

Banke-Thomas, A, Macharia, P, Makanga, T et al. (9 more authors) (2022) Leveraging big data for improving the estimation of close-to-reality travel time to obstetric emergency services in urban low- and middle-income settings. Frontiers in Public Health, 10. 931401. ISSN 2296-2565

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Copyright, Publisher and Additional Information: © 2022 Banke-Thomas, Macharia, Makanga, Benová, Wong, ˇGwacham-Anisiobi, Wang, Olubodun, Ogunyemi, Afolabi, Ebenso and Omolade Abejirinde. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Dates:
  • Accepted: 11 July 2022
  • Published (online): 29 July 2022
  • Published: 29 July 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Nuffield Centre for International Health and Development (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 15 Jul 2022 16:03
Last Modified: 18 Aug 2022 15:58
Published Version: https://www.frontiersin.org/articles/10.3389/fpubh...
Status: Published
Publisher: Frontiers Media
Identification Number: https://doi.org/10.3389/fpubh.2022.931401

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