Peter, Macharia M., Wong, Kerry L. M., Olubodun, Tope, Beňová, Lenka, Stanton, Charlotte, Sundararajan, Narayanan, Shah, Yash, Prasad, Gautam, Kansal, Mansi, Vispute, Swapnil, Shekel, Tomer, Gwacham-Anisiobi, Uchenna, Ogunyemi, Olakunmi, Wang, Jia ORCID: 0000-0003-4379-9724 , Abejirinde, Ibukun-Oluwa Omolade, Makanga, Prestige Tatenda, Afolabi, Bosede B. and Banke-Thomas, Aduragbemi ORCID: 0000-0002-4449-0131 (2023) A geospatial database of close-to-reality travel times to obstetric emergency care in 15 Nigerian conurbations. Scientific Data, 10:736. pp. 1-8. ISSN 2052-4463 (Online) (doi:https://doi.org/10.1038/s41597-023-02651-9)

Preview

PDF (Publisher VoR) 44615_WANG_A_geospatial_database_of_close_to_reality_travel_times_to obstetric_emergency_care.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

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.

Item Type:	Article
Uncontrolled Keywords:	geospatial database; travel time; Google Maps; obstetric emergency care
Subjects:	G Geography. Anthropology. Recreation > G Geography (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > RG Gynecology and obstetrics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	24 Oct 2023 15:42
URI:	http://gala.gre.ac.uk/id/eprint/44615

Actions (login required)

View Item

Downloads