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Early-Warning System for Antimicrobial Resistance in <i>Campylobacter</i> in the Broiler Production Chain from High-Level Indicators—A Graph-Based Machine Learning and Bayesian Approach

Forecasting antimicrobial resistance (AMR) is critical for public health, yet most models neglect the interconnected nature of agricultural systems. Focusing on ciprofloxacin resistance in <i>Campylobacter jejuni</i>—a leading foodborne pathogen in poultry—this study aims to develop a probabilistic...

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Principais autores: Szilveszter Csorba, Krisztián Vribék, Máté Farkas, Edith Alice Kovács, Dániel Pfeifer, Miklós Süth, Orsolya Strang, Andrea Zentai, Zsuzsa Farkas
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-11-01
coleção:Veterinary Sciences
Assuntos:
AMR
One Health
food safety
<i>Campylobacter</i>
broiler chicken
machine learning
Acesso em linha:https://www.mdpi.com/2306-7381/12/11/1080
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