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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.

Machine learning models for predicting residual malaria infections using environmental factors: A case study of the Jazan region, Kingdom of Saudi Arabia

2024Decoding Infection and TransmissionJournalOpen access

10.1016/j.dcit.2024.100022 Full text3 citations

Authors

7 authors across 4 institutions in 3 countries.

Idris Zubairu SadiqFirst authorCorresponding
- Ahmadu Bello University (NG)
Yakubu Saddeeq Abubakar
- Ahmadu Bello University (NG)
Abdulkadir Rabiu Salisu
- Bayero University Kano (NG)
Babangida Sanusi Kastayal
- Ahmadu Bello University (NG)
as printed: Babangida Sanusi Katsayal
Umar Faruk Saidu
- Ahmadu Bello University (NG)
as printed: Umar Saidu
Sani I. Abba
Abdullahi Garba UsmanSenior author

Fields

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

Digital Imaging for Blood Diseaseslevel 3 · 0.98
COVID-19 epidemiological studieslevel 3 · 0.97
Data-Driven Disease Surveillancelevel 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
2024 · Decoding Infection and Transmission · 3 citations
https://openalex.org/W4403379569

Machine learning models for predicting residual malaria infections using environmental factors: A case study of the Jazan region, Kingdom of Saudi Arabia · Sankore