Machine learning and metagenomics enhance surveillance of antimicrobial resistance in chicken production in China

Abstract excerpt

<title>Abstract</title> <p>The use of antimicrobials in livestock production is associated with the rise of antimicrobial resistance (AMR). China is the largest consumer of antimicrobials and improving AMR surveillance methods may help inform intervention. Here, we report the surveillance of ten large-scale chicken farms and four connected abattoirs from three Chinese provinces, over 2.5 years. By using a bespoke...

Topics

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• Drug Resistance, Bacterial
• Genome, Bacterial
• Machine Learning
• Microbial Sensitivity Tests
• Prediction Algorithms
• Predictive Learning Models
• Salmonella
• Whole Genome Sequencing

Identifiers and source

Literature Corpus work

93ed6e61-1bd1-5d0f-a8cb-c23df618aa61

DOI

10.21203/rs.3.rs-2458989/v1