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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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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Predictors of High Fertility in Nigerian Women Aged 40–49: Insights from Machine Learning and Explainable Artificial Intelligence Using the 2024 Nigeria Demographic Health Survey · Sankore

Predictors of High Fertility in Nigerian Women Aged 40–49: Insights from Machine Learning and Explainable Artificial Intelligence Using the 2024 Nigeria Demographic Health Survey

2026Women s Health ReportsJournalOpen access

10.1177/26884844261465179 Full text0 citations

Authors

7 authors across 6 institutions in 4 countries.

Augustus OsborneFirst author
Kobloobase Usani
Fouziatu Mohammed
- University of Health and Allied Sciences (GH)
Betty Oloo
- Busitema University (UG)
Kelfala Mbady Bangura
- Ministry of Defence (SL)
Umaru SesayCorresponding
- Sierra Leone Urban Research Centre (SL)
David B. OlawadeSenior author

Fields

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

Global Maternal and Child Healthlevel 3 · 0.47
Reproductive Health and Technologieslevel 3 · 0.02
Ovarian function and disorderslevel 3 · 0.02

Sources

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

openalexseen September 8, 2026
2026 · Women s Health Reports · 0 citations
https://openalex.org/W7166825920