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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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Sub-national modelling of surveillance sensitivity to inform declaration of disease elimination: A retrospective validation against the elimination of wild poliovirus in Nigeria

2026PLoS Computational BiologyJournalOpen access

10.1371/journal.pcbi.1013984 Full text0 citations

Authors

10 authors across 5 institutions in 4 countries.

Emily NightingaleFirst authorCorresponding
as printed: Emily S. Nightingale
Ly Pham-Minh
Isah Mohammed Bello
Samuel Okrior
Tesfaye B Erbeto
- World Health Organization - Nigeria (NG)
as printed: Tesfaye Bedada Erbeto
Baba Marycelin
- University of Maiduguri (NG)
as printed: Marycelin Baba
Adekunle Adeneji
Megan Auzenbergs
William John Edmunds
Kathleen M. O’ReillySenior author

Fields

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

Viral Infections and Immunology Researchlevel 3 · 1.00
Viral gastroenteritis research and epidemiologylevel 3 · 0.00
Hepatitis Viruses Studies and Epidemiologylevel 3 · 0.00

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 Computational Biology · 0 citations
https://openalex.org/W7137039632

Sub-national modelling of surveillance sensitivity to inform declaration of disease elimination: A retrospective validation against the elimination of wild poliovirus in Nigeria · Sankore