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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.

Predicting Infectious Diseases: A Bibliometric Review on Africa

2022International Journal of Environmental Research and Public HealthJournalOpen access

10.3390/ijerph19031893 Full text24 citations

Authors

3 authors across 3 institutions in 2 countries.

Paulina PhoobaneFirst authorCorresponding
- Central University of Technology (ZA)
Muthoni Masinde
- Central University of Technology (ZA)
Tafadzwanashe MabhaudhiSenior author
- University of KwaZulu-Natal (ZA)
- Central University of Technology (ZA)
- Water Resources Commission of Ghana (GH)

Fields

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

COVID-19 epidemiological studieslevel 3 · 1.00
Data-Driven Disease Surveillancelevel 3 · 0.97
Zoonotic diseases and public healthlevel 3 · 0.97

Sources

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

openalexseen September 8, 2026
2022 · International Journal of Environmental Research and Public Health · 24 citations
https://openalex.org/W4210974177

Predicting Infectious Diseases: A Bibliometric Review on Africa · Sankore