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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.

Towards an intelligent malaria outbreak warning model based intelligent malaria outbreak warning in the northern part of Benin, West Africa

2024BMC Public HealthJournalOpen access

10.1186/s12889-024-17847-w Full text12 citations

Authors

4 authors across 5 institutions in 4 countries.

Gouvidé Jean GbaguidiFirst authorCorresponding
- University of Lomé (TG)
- West African Science Service Centre on Climate Change and Adapted Land Use (GH)
Nikita Topanou
- Université d'Abomey-Calavi (BJ)
Walter Leal Filho
Guillaume K. KétohSenior author
- University of Lomé (TG)
as printed: Guillaume K. Ketoh

Fields

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

Malaria Research and Controllevel 3 · 0.87
Mosquito-borne diseases and controllevel 3 · 0.01
Data-Driven Disease Surveillancelevel 3 · 0.01

Sources

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

openalexseen September 6, 2026
2024 · BMC Public Health · 12 citations
https://openalex.org/W4391919149

Towards an intelligent malaria outbreak warning model based intelligent malaria outbreak warning in the northern part of Benin, West Africa · Sankore