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.

Predictive Modeling of Malaria Risk Using the Nigerian Demographic and Health Survey Data

2026PublicationOpen access

10.3390/engproc2026124098 Full text0 citations

Authors

4 authors across 3 institutions in 2 countries.

J.N. UgwuFirst author
- University of Nigeria (NG)
as printed: JohnPaul C. Ugwu
Thecla Okeahunwa Ayoka
- University of Nigeria (NG)
as printed: Thecla O. Ayoka
Charles Okeke NnadiCorresponding
- Madonna University (NG)
- University of Nigeria (NG)
as printed: Charles O. Nnadi
Wilfred Ofem ObongaSenior author
- University of Nigeria (NG)
as printed: Wilfred O. Obonga

Fields

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

Statistical Methods in Epidemiologylevel 3 · 0.07
HIV/AIDS Impact and Responseslevel 3 · 0.07
Global Health and Epidemiologylevel 3 · 0.04

Sources

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

openalexseen September 9, 2026
2026 · 0 citations
https://openalex.org/W7144154747

Predictive Modeling of Malaria Risk Using the Nigerian Demographic and Health Survey Data · Sankore