Banke-Thomas, A, Olubodun, T, Macharia, PM, Wong, KL, 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. [Online]. Figshare. Available from: https://doi.org/10.6084/m9.figshare.22699759.v1
Banke-Thomas, A, Olubodun, T, Macharia, PM, Wong, KL, 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. A geospatial database of close to reality travel times to obstetric emergency care in 15 Nigerian conurbations [Internet]. Figshare; 2023. Available from: https://doi.org/10.6084/m9.figshare.22699759.v1
Banke-Thomas, A, Olubodun, T, Macharia, PM, Wong, KL, 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. [Data Collection]. Figshare. https://doi.org/10.6084/m9.figshare.22699759.v1
Description
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.
| Data capture method | Compilation/Synthesis, Aggregation |
|---|---|
| Date (Date published in a 3rd party system) | 15 July 2023 |
| Language(s) of written materials | English |
| Data Creators | Banke-Thomas, A, Olubodun, T, Macharia, PM, Wong, KL, 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 |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 04 Jan 2024 11:54 |
|---|---|
| Last Modified | 04 Jan 2024 11:54 |
| Publisher | Figshare |
