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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings

2022Frontiers in Public HealthJournalOpen access

10.3389/fpubh.2022.931401 Full text27 citations

Authors

13 authors across 14 institutions in 6 countries.

Aduragbemi Banke-ThomasFirst authorCorresponding
Peter M Macharia
- Kenya Medical Research Institute (KE)
as printed: Peter M. Macharia
Prestige Tatenda Makanga
- Midlands State University (ZW)
Lenka Beňová
Kerry L. M. Wong
Uchenna Gwacham-Anisiobi
Jia Wang
Jia Wang
Tope Olubodun
- Federal Medical Centre (NG)
Olakunmi Ogunyemi
- Lagos State Ministry of Health (NG)
Bosede Bukola Afolabi
- University of Lagos (NG)
as printed: Bosede B. Afolabi
Bassey Ebenso
Ibukun-Oluwa Omolade AbejirindeSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Global Maternal and Child Healthlevel 3 · 1.00
Trauma and Emergency Care Studieslevel 3 · 0.98
Emergency and Acute Care Studieslevel 3 · 0.98

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 24, 2026
2022 · Frontiers in Public Health · 27 citations
https://openalex.org/W4288422748

Leveraging big data for improving the estimation of close to reality travel time to obstetric emergency services in urban low- and middle-income settings · Sankore