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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.

Exploring the past and forecasting the future of malaria in selected Nigerian states: A time series modelling approach using wavelet and SARIMA

2026PLoS ONEJournalOpen access

10.1371/journal.pone.0337791 Full text1 citations

Authors

4 authors across 2 institutions in 1 country.

Bakare Emmanuel AfolabiFirst authorCorresponding
- Federal University Oye Ekiti (NG)
as printed: Emmanuel Afolabi Bakare
Oluwaseun Akinlo Mogbojuri
- Adekunle Ajasin University (NG)
- Federal University Oye Ekiti (NG)
Dolapo Ayomide Bakare
- Federal University Oye Ekiti (NG)
Oluwakemi Janet OdewusiSenior author
- Federal University Oye Ekiti (NG)

Fields

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

Stock Market Forecasting Methodslevel 3 · 0.12
Forecasting Techniques and Applicationslevel 3 · 0.10
Data-Driven Disease Surveillancelevel 3 · 0.05

Sources

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

openalexseen September 9, 2026
2026 · PLoS ONE · 1 citations
https://openalex.org/W7148328246

Exploring the past and forecasting the future of malaria in selected Nigerian states: A time series modelling approach using wavelet and SARIMA · Sankore