The use of artificial intelligence based modelling techniques in One Health-related infectious disease studies in Sub-Saharan Africa: a review

BackgroundSub-Saharan Africa continues to face a substantial burden of infectious diseases, many of which are zoonotic and shaped by complex interactions across human, animal, and environmental systems. Artificial Intelligence (AI), encompassing machine learning (ML) and deep-learning (DL) technique...

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Detaylı Bibliyografya
Asıl Yazarlar:	Bruno Enagnon Lokonon, Sèton Calmette Ariane Houetohossou, Bruno Amèdjiko Tchede, Richard B. Yapi, Aurélie Cailleau, Daniel T. Haydon, Bassirou Bonfoh
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Frontiers Media S.A. 2026-04-01
Seri Bilgileri:	Frontiers in Artificial Intelligence
Konular:	Africa evidence synthesis human–animal–environment interfaces integrated disease surveillance machine learning applications
Online Erişim:	https://www.frontiersin.org/articles/10.3389/frai.2026.1778800/full
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The use of artificial intelligence based modelling techniques in One Health-related infectious disease studies in Sub-Saharan Africa: a review

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