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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.

Assessment of cutting-edge machine learning models to significantly enhance predictions of Lassa fever outbreaks using whole genome sequencing

2025Journal of Interventional Epidemiology and Public HealthJournalOpen access

10.37432/jieph-confpro5-00263 Full text2 citations

Authors

5 authors.

Prof. Adamu Ishaku AkyalaFirst authorCorresponding
- Nasarawa State University (NG)
as printed: Adamu Ishaku Akyala
Stephen Olaide Aremu
- Nasarawa State University (NG)
Awayimbo Ruth Jaggu
- Nasarawa State University (NG)
Silas Sunday GyarSenior author
- Nasarawa State University (NG)
Silas Sunday GyarSenior author
- Nasarawa State University (NG)

Fields

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

Viral Infections and Outbreaks Researchlevel 3 · 1.00
COVID-19 diagnosis using AIlevel 3 · 0.98
Bacillus and Francisella bacterial researchlevel 3 · 0.95

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 · 2 citations
https://openalex.org/W4415267963

Assessment of cutting-edge machine learning models to significantly enhance predictions of Lassa fever outbreaks using whole genome sequencing · Sankore