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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.

Enhancing disease surveillance in Nigeria through machine learning: opportunities, challenges and strategic recommendations

2026BMC Artificial IntelligenceJournalOpen access

10.1186/s44398-026-00036-7 Full text0 citations

Authors

7 authors across 3 institutions in 1 country.

Lukman Jibril AliyuFirst author
Abbas Bashir UmarCorresponding
- Ahmadu Bello University (NG)
Saifuddeen Kamfut Sani
Usman Abubakar Haruna
- Ahmadu Bello University (NG)
Ahmed Haruna Danjuma
- Society for Family Health Nigeria (NG)
Mubarak Zubairu
Hafsat YahayaSenior author
- Usmanu Danfodiyo University Teaching Hospital, Sokoto (NG)

Fields

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

Data-Driven Disease Surveillancelevel 3 · 0.51
COVID-19 epidemiological studieslevel 3 · 0.05
Viral Infections and Outbreaks Researchlevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · BMC Artificial Intelligence · 0 citations
https://openalex.org/W7160437869

Enhancing disease surveillance in Nigeria through machine learning: opportunities, challenges and strategic recommendations · Sankore