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

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.


Supplementary file
Macharia et al.A geospatial database of close-to-reality travel times to obstetric emergency care in 15 Nigerian conurbations.Scientific Data.(2023).

Figure S2 .
Figure S2.The local government area boundaries that defined the urban spatial extents of Abuja the Federal Capital Territory, Nigeria, with spatial representation of its population distribution.

Figure S3 .
Figure S3.The local government area boundaries that defined the urban spatial extents of Benin City in Edo state, Nigeria, with spatial representation of its population distribution.

Figure S4 .
Figure S4.The local government area boundaries that defined the urban spatial extents of Ibadan in Oyo state, Nigeria, with spatial representation of its population distribution.

Figure S5 .
Figure S5.The local government area boundaries that defined the urban spatial extents of Ilorin in Kwara state, Nigeria, with spatial representation of its population distribution.

Figure S6 .
Figure S6.The local government area boundaries that defined the urban spatial extents of Jos in Plateau state, Nigeria, with spatial representation of its population distribution.

Figure S7 .
Figure S7.The local government area boundaries that defined the urban spatial extents of Kaduna in Kaduna state, Nigeria, with spatial representation of its population distribution.

Figure S8 .
Figure S8.The local government area boundaries that defined the urban spatial extents of Kano in Kano state, Nigeria, with spatial representation of its population distribution.

Figure S9 .
Figure S9.The local government area boundaries that defined the urban spatial extents of Legos in Lagos state, Nigeria, with spatial representation of its population distribution.

Figure S10 .
Figure S10.The local government area boundaries that defined the urban spatial extents of Maiduguri in Borno state, Nigeria, with spatial representation of its population distribution.

Figure S11 .
Figure S11.The local government area boundaries that defined the urban spatial extents of Onitsha in Anambra state, Nigeria, with spatial representation of its population distribution.

Figure S12 .
Figure S12.The local government area boundaries that defined the urban spatial extents of Owerri in Imo state, Nigeria, with spatial representation of its population distribution.

Figure S13 .
Figure S13.The local government area boundaries that defined the urban spatial extents of Port Harcourt in Rivers state, Nigeria, with spatial representation of its population distribution.

Figure S14 .
Figure S14.The local government area boundaries that defined the urban spatial extents of Uyo in Akwa-Ibom state, Nigeria, with spatial representation of its population distribution.

Figure S15 .
Figure S15.The local government area boundaries that defined the urban spatial extents of Warri in Delta state, Nigeria, with spatial representation of its population distribution.