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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.

Predictors of COVID-19 Vaccine Acceptance among Healthcare Workers in Nigeria

2022VaccinesJournalOpen access

10.3390/vaccines10101645 Full text10 citations

Authors

8 authors across 8 institutions in 3 countries.

Victory C. NnaemekaFirst author
- University of Nigeria (NG)
as printed: Victory Chizaram Nnaemeka
Reuben Ogba Onwe
- University of Nigeria (NG)
Adaku Lydia Ekwedike
- University of Nigeria (NG)
Oluwakemi Elizabeth Oyedele
- University of Lagos (NG)
Thomas Sambo Tsiterimam
- University of Abuja Teaching Hospital (NG)
- University of Abuja (NG)
Ogbole Emmanuel Ochepo
- Federal University of Technology Minna (NG)
Nkiru Nwokoye
- Caritas Nigeria (NG)
as printed: Nkiru Nenye Nwokoye
Anthony IkeSenior authorCorresponding
- University of Nigeria (NG)
as printed: Anthony Chibuogwu Ike

Fields

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

Vaccine Coverage and Hesitancylevel 3 · 1.00
SARS-CoV-2 and COVID-19 Researchlevel 3 · 1.00
COVID-19 Pandemic Impactslevel 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 · Vaccines · 10 citations
https://openalex.org/W4304190030

Predictors of COVID-19 Vaccine Acceptance among Healthcare Workers in Nigeria · Sankore