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10 23, 2023;10 (1): 736.

A geospatial database of close-to-reality travel times to obstetric emergency care in 15 Nigerian conurbations.

Peter M Macharia, Kerry L M Wong, Tope Olubodun, Lenka Beňová, Charlotte Stanton, Narayanan Sundararajan, Yash Shah, Gautam Prasad, Mansi Kansal, Swapnil Vispute, Tomer Shekel, Uchenna Gwacham-Anisiobi, Olakunmi Ogunyemi, Jia Wang, Ibukun-Oluwa Omolade Abejirinde, Prestige Tatenda Makanga, Bosede B Afolabi, Aduragbemi Banke-Thomas
Author Information
  1. Peter M Macharia: Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium. ORCID
  2. Kerry L M Wong: Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  3. Tope Olubodun: Department of Community Medicine and Primary Care, Federal Medical Centre Abeokuta, Abeokuta, Ogun, Nigeria.
  4. Lenka Beňová: Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
  5. Charlotte Stanton: Google LLC, California, USA. chstanton@google.com.
  6. Narayanan Sundararajan: Google LLC, California, USA.
  7. Yash Shah: Google LLC, California, USA.
  8. Gautam Prasad: Google LLC, California, USA.
  9. Mansi Kansal: Google LLC, California, USA.
  10. Swapnil Vispute: Google LLC, California, USA.
  11. Tomer Shekel: Google LLC, California, USA.
  12. Uchenna Gwacham-Anisiobi: Nuffield Department of Population Health, University of Oxford, Oxford, UK.
  13. Olakunmi Ogunyemi: Lagos State Ministry of Health, Ikeja, Lagos, Nigeria.
  14. Jia Wang: School of Computing & Mathematical Sciences, University of Greenwich, London, UK.
  15. Ibukun-Oluwa Omolade Abejirinde: Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
  16. Prestige Tatenda Makanga: Surveying and Geomatics Department, Midlands State University Faculty of Science and Technology, Gweru, Midlands, Zimbabwe.
  17. Bosede B Afolabi: Maternal and Reproductive Health Research Collective, Lagos, Nigeria.
  18. Aduragbemi Banke-Thomas: Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK. aduragbemi.banke-thomas@lshtm.ac.uk. ORCID
PMID: 37872185 DOI: 10.1038/s41597-023-02651-9

Abstract

Travel time estimation accounting for on-the-ground realities between the location where a need for emergency obstetric care (EmOC) arises and the health facility capable of providing EmOC is essential for improving pregnancy outcomes. Current understanding of travel time to care is inadequate in many urban areas of Africa, where short distances obscure long travel times and travel times can vary by time of day and road conditions. Here, we describe a database of travel times to comprehensive EmOC facilities in the 15 most populated extended urban areas of Nigeria. The travel times from cells of approximately 0.6 × 0.6 km to facilities were derived from Google Maps Platform's internal Directions Application Programming Interface, which incorporates traffic considerations to provide closer-to-reality travel time estimates. Computations were done to the first, second and third nearest public or private facilities. Travel time for eight traffic scenarios (including peak and non-peak periods) and number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.

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Grants

  1. /Wellcome Trust
Dataset Journal Article
Article has an altmetric score of 42

Word Cloud

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