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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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Using machine learning algorithms to predict COVID-19 vaccine uptake: A year after the introduction of COVID-19 vaccines in Ghana

2024Vaccine XJournalOpen access

10.1016/j.jvacx.2024.100466 Full text8 citations

Authors

8 authors across 3 institutions in 1 country.

Cornelius C. DodooFirst authorCorresponding
- University of Health and Allied Sciences (GH)
Ebo Hanson-Yamoah
- University of Health and Allied Sciences (GH)
David Adedia
- University of Health and Allied Sciences (GH)
Irene Erzuah
- University of Health and Allied Sciences (GH)
Peter Yamoah
- University of Health and Allied Sciences (GH)
Fareeda Brobbey
- University of Ghana (GH)
Constance Caroline Cobbold
- University of Cape Coast (GH)
as printed: Constance Cobbold
Josephine MensahSenior author
- University of Ghana (GH)

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 epidemiological studieslevel 3 · 1.00

Sources

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

crossrefseen September 6, 2026
2024 · Vaccine: X · 6 citations
10.1016/j.jvacx.2024.100466
openalexseen September 5, 2026
2024 · Vaccine X · 8 citations
https://openalex.org/W4392184540

Using machine learning algorithms to predict COVID-19 vaccine uptake: A year after the introduction of COVID-19 vaccines in Ghana · Sankore