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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.

AI-driven early diagnosis of Lassa fever: Development of an XGBoost-based predictive web application

2025Journal of Interventional Epidemiology and Public HealthJournalOpen access

10.37432/jieph-confpro5-00109 Full text0 citations

Authors

6 authors across 6 institutions in 4 countries.

Michael Chukwuemeka EtuonumaFirst author
- Federal University of Technology Minna (NG)
Jane Ekwuojo Ohize
Henry Ohiani Ohize
- Federal University of Technology Minna (NG)
James Garba Ambafi
- Federal University of Technology Minna (NG)
Emmanuel Tanko Umaru
- West African Science Service Centre on Climate Change and Adapted Land Use (GH)
Stephen Ogirima OhizeSenior author

Fields

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

Viral Infections and Outbreaks Researchlevel 3 · 0.86
COVID-19 Digital Contact Tracinglevel 3 · 0.02
COVID-19 diagnosis using AIlevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2025 · Journal of Interventional Epidemiology and Public Health · 0 citations
https://openalex.org/W4415881862

AI-driven early diagnosis of Lassa fever: Development of an XGBoost-based predictive web application · Sankore