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

Banke-Thomas, AORCID logo; Olubodun, T; Macharia, PM; Wong, KLORCID logo; Gwacham-Anisiobi, U; Ogunyemi, O; Benova, L; Omolade Abejirinde, I; Makanga, PT; Wang, J; Stanton, C; Sundararajan, N; Shah, Y; Prasad, G; Kansal, M; Vispute, S; Shekel, T and Afolabi, BB (2023). A geospatial database of close to reality travel times to obstetric emergency care in 15 Nigerian conurbations. [Dataset]. Figshare. https://doi.org/10.6084/m9.figshare.22699759.v1
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A database of travel times to facilities that can provide comprehensive EmOC in the 15 most populated extended urban areas (conurbations) in Nigeria. The travel times from cells of approximately 0.6x0.6km to facilities were derived based on Google Maps Platform’s internal Directions Application Programming Interface (API). The API incorporates estimates of traffic to provide closer-to-reality estimates of travel time. 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 the number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.

Keywords

Master health facility list; Maternal Health Research; Emergency Obstetric Care capability

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