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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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What we cover

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.

Machine learning insights into HIV outbreak predictions in Sub-Saharan Africa

2024International Medical Science Research JournalJournalOpen access

10.51594/imsrj.v4i5.1121 Full text5 citations

Authors

4 authors across 4 institutions in 1 country.

Charles Chukwudalu EbulueFirst author
- Nnamdi Azikiwe University Teaching Hospital (NG)
as printed: Charles Chukwudalu Ebulue
Ogochukwu Virginia Ekkeh
- Akwa Ibom State University (NG)
Ogochukwu Roseline Ebulue
- Nigerian Institute for Trypanosomiasis Research (NG)
as printed: Ogochukwu Roseline Ebulue
Chukwunonso Sylvester EkesiobiSenior author
- Chukwuemeka Odumegwu Ojukwu University (NG)
as printed: Chukwunonso Sylvester Ekesiobi

Fields

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

Data-Driven Disease Surveillancelevel 3 · 0.96
COVID-19 epidemiological studieslevel 3 · 0.93

Sources

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

openalexseen September 9, 2026
2024 · International Medical Science Research Journal · 5 citations
https://openalex.org/W4396651481

Machine learning insights into HIV outbreak predictions in Sub-Saharan Africa · Sankore