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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.

Disease transition dynamics among infectious disease patients in Oyo State, Nigeria: a markov chain analysis

2026BMC Public HealthJournalOpen access

10.1186/s12889-026-27793-4 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Adigun AbimbolaFirst authorCorresponding
- Afe Babalola University (NG)
as printed: Adigun K.Abimbola
Adigun O. Abiodun
- Federal University of Technology (NG)
Adarabioyo M.Idowu
- Afe Babalola University (NG)
Adewumi F.D.Senior author
- Afe Babalola University (NG)

Fields

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

COVID-19 epidemiological studieslevel 3 · 0.57
Viral Infections and Outbreaks Researchlevel 3 · 0.03
Zoonotic diseases and public healthlevel 3 · 0.03

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 Public Health · 0 citations
https://openalex.org/W7162568323

Disease transition dynamics among infectious disease patients in Oyo State, Nigeria: a markov chain analysis · Sankore