Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Predicting IPTp3 Coverage at Health-Facility Level Using XGBoost Machine Learning and Spatial Diagnostics in Kebbi State, Nigeria.

2026Hensard Journal of Health Governance and Digital TransformationJournalOpen access

10.65757/hjhpd.36 Full text0 citations

Authors

10 authors across 7 institutions in 3 countries.

Zubairul IslamFirst author
- Federal University Otuoke (NG)
Yakubu Joel Cherima
- University of Abuja (NG)
Ugo Uwadiako Enebeli
- Rhema University (NG)
- Abia State University (NG)
Ebelechukwu Lawrence Enebeli
- Lancaster University Ghana (GH)
Rejoice Kaka Hassan
- University of Abuja (NG)
Fiyidi Mikailu
Yonwul Jacqueline Dakyen
Uchenna Stephen Nwokenna
- University of Abuja (NG)
Kebiru Umoru
- Federal University Otuoke (NG)
Eziyi Iche KaluSenior author
- Gregory University Uturu (NG)

Fields

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

Malaria Research and Controllevel 3 · 0.80
COVID-19 epidemiological studieslevel 3 · 0.04
Global Maternal and Child Healthlevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2026 · Hensard Journal of Health Governance and Digital Transformation · 0 citations
https://openalex.org/W7162496094

Predicting IPTp3 Coverage at Health-Facility Level Using XGBoost Machine Learning and Spatial Diagnostics in Kebbi State, Nigeria. · Sankore