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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.

Profile of HIV-Infected Women of Childbearing and Prevention of Vertical Transmissions of HIV/AIDS in sub-Saharan Africa: A Machine Learning Approach

2024PublicationOpen access

10.52968/15066067 Full text0 citations

Authors

4 authors across 2 institutions in 2 countries.

Oluwatomisin Aderonke AkinsolaFirst author
- University of Lagos (NG)
as printed: O. Akinsola
O. Afuwape
- University of Lagos (NG)
Patricia Akintan
- University of Lagos (NG)
as printed: P. Akintan
Folashade OgunsolaSenior author
- University of Lagos (NG)
as printed: F. Ogunsola

Fields

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

HIV/AIDS Impact and Responseslevel 3 · 0.60
Artificial Intelligence in Healthcarelevel 3 · 0.59
Statistical Methods in Epidemiologylevel 3 · 0.55

Sources

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

openalexseen September 9, 2026
2024 · 0 citations
https://openalex.org/W4412538208

Profile of HIV-Infected Women of Childbearing and Prevention of Vertical Transmissions of HIV/AIDS in sub-Saharan Africa: A Machine Learning Approach · Sankore