Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/6012
Title: A geospatial database of close- to-reality travel times to obstetric emergency care in 15 Nigerian conurbations
Authors: 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
Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium; Population & Health Impact Surveillance Group, Kenya Medical Research Institute-Wellcome Trust Research Programme, Nairobi, Kenya and Centre for Health Informatics, Computing, and Statistics, Lancaster Medical School, Lancaster University, Lancaster, UK
Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK
Department of Community Medicine and Primary Care, Federal Medical Centre Abeokuta, Abeokuta, Ogun, Nigeria
Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium
Google LLC, California, USA
Google LLC, California, USA
Google LLC, California, USA
Google LLC, California, USA
Google LLC, California, USA
Google LLC, California, USA
Google LLC, California, USA
Nuffield Department of Population Health, University of Oxford, Oxford, UK
Lagos State Ministry of Health, Ikeja, Lagos, Nigeria
School of Computing & Mathematical Sciences, University of Greenwich, London, UK
Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Women’s College Hospital Institute for Health System Solutions and Virtual Care, Toronto, Canada
Surveying and Geomatics Department, Midlands State University Faculty of Science and Technology, Gweru, Midlands, Zimbabwe; Climate and Health Division, Centre for Sexual Health and HIV/AIDS Research, Harare, Zimbabwe
Maternal and Reproductive Health Research Collective, Lagos, Nigeria; Department of Obstetrics and Gynaecology, College of Medicine of the University of Lagos, Lagos, Nigeria
Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK; Maternal and Reproductive Health Research Collective, Lagos, Nigeria; School of Human Sciences, University of Greenwich, London, UK
Keywords: geospatial
database
close-to-reality
travel times
obstetric emergency care
Nigeria
Issue Date: 23-Oct-2023
Publisher: Nature Research
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.
URI: https://cris.library.msu.ac.zw//handle/11408/6012
Appears in Collections:Research Papers

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