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book chapter · Studies in health technology and informatics

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

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.

Research topics

  • Effects of Environmental Stressors on Livestock
  • Microbial infections and disease research
  • Genetic and phenotypic traits in livestock

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DOI: 10.3233/shti260622

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