Application of Metagenomics and Artificial Intelligence for Pathogen Characterization in Domestic Animals and Epizootic Prediction: A Systematic Review and Meta-Analysis.

Authors

Amadou Dicko, Seydou Golo Barro, N Siourimè Somda, Salif Sombie, Ousseni Bandaogo, Germain Sanou, Mathew D Esona, Juste Isidore O Bonkoungou

Published in

Studies in health technology and informatics. Volume 336. Pages 2095-2096. May 21, 2026.

Abstract

Sub-Saharan Africa suffers devastating animal health losses exceeding $20 billion each year. By combining metagenomics with artificial intelligence (AI), a promising path emerges for faster diagnostics and proactive disease prediction. Our PRISMA-guided review of 1,225 studies reveals that metagenomics achieves 94.2% diagnostic sensitivity (compared to 67.3% with conventional methods), while AI dramatically shortens turnaround from 48-72h to just 4-8h, offering a valuable 14-18 day early warning window for epizootics.

PMID:
42175291
Bibliographic data and abstract were imported from PubMed on 23 May 2026.

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