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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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Leveraging Machine Learning to Assess Secondary Contamination Risks in Laboratory Waste Systems: A Biosafety Perspective

2025International Journal of Biosafety Biosecurity and Bioscience InnovationsJournalOpen access

10.36108/ijbbb/5202.320.0110 Full text0 citations

Authors

7 authors across 4 institutions in 2 countries.

Joshua OLUFirst author
- Songhai Health Trust (NG)
Mkpumah Emmanuel Ifeanyi
as printed: Emmanuel Ifeanyi MKPUMAH
Morolake Oladayo Lawrence
- National Open University of Nigeria (NG)
as printed: Morolake Oladayo LAWRENCE
Gbenga Samson OGUNMEFUN
- National Primary Health Care Development Agency (NG)
Priscilla Odaku NWOSU-EZEONYE
Happiness Oluomachi EBERECHUKWU
- National Primary Health Care Development Agency (NG)
Hajara Oyiza YUSUFSenior author

Fields

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

Healthcare and Environmental Waste Managementlevel 3 · 0.99
Recycling and Waste Management Techniqueslevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2025 · International Journal of Biosafety Biosecurity and Bioscience Innovations · 0 citations
https://openalex.org/W4415072013

Leveraging Machine Learning to Assess Secondary Contamination Risks in Laboratory Waste Systems: A Biosafety Perspective · Sankore