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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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Using SORMAS Data to Understand the Attributable Fraction of COVID-19 in Nigeria

2022Scholars Journal of Applied Medical SciencesJournalOpen access

10.36347/sjams.2022.v10i02.007 Full text1 citations

Authors

4 authors across 5 institutions in 2 countries.

Chijioke Igwe AkpaFirst author
- Nigeria Centre for Disease Control (NG)
Maxwell Obubu
- Nigeria Centre for Disease Control (NG)
- Nnamdi Azikiwe University (NG)
Zara Abba-Aji
- National Primary Health Care Development Agency (NG)
- Nile University of Nigeria (NG)
Akeem AdesinaSenior author
- Nile University of Nigeria (NG)

Fields

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

Data-Driven Disease Surveillancelevel 3 · 0.95
COVID-19 diagnosis using AIlevel 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
2022 · Scholars Journal of Applied Medical Sciences · 1 citations
https://openalex.org/W4220696263

Using SORMAS Data to Understand the Attributable Fraction of COVID-19 in Nigeria · Sankore