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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.

Regression models for predicting the die-off rate of E. coli in solar water disinfection

2022Journal of Water Sanitation and Hygiene for DevelopmentJournalOpen access

10.2166/washdev.2022.056 Full text3 citations

Authors

4 authors across 2 institutions in 1 country.

Ekene Jude NwankwoFirst authorCorresponding
- University of Nigeria (NG)
Jonah C. Agunwamba
- University of Nigeria (NG)
as printed: Jonah Chukwuemeka Agunwamba
Samson Ekene Igwe
- Enugu State University of Science and Technology (NG)
Celestine OdenigboSenior author
- Enugu State University of Science and Technology (NG)

Fields

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

Child Nutrition and Water Accesslevel 3 · 1.00
Wastewater Treatment and Reuselevel 3 · 1.00
Fecal contamination and water qualitylevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2022 · Journal of Water Sanitation and Hygiene for Development · 3 citations
https://openalex.org/W4293004058

Regression models for predicting the die-off rate of E. coli in solar water disinfection · Sankore