Farm-Level Biosecurity and Antimicrobial Use in Pig Production: An Integrated Inferential and Explainable Machine Learning Analysis
Krisztián Vribék, Máté Farkas, Szilveszter Csorba, Miklós Süth, László Gombos, Ádám Kerek, Evelin Imre, Zoltán Somogyi, Ákos Jerzsele, Zsuzsa Farkas · 2026
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Description
Krisztián Vribék and co-authors test whether tighter barn hygiene means fewer antibiotics on pig farms, in a 2026 study. Records covered over a thousand farm-month units from Hungarian farms. The team kept four model variants, mixing filtered and raw data with combined or separate hygiene scores, and let machine learning models try to predict drug use. One separation practice, keeping animal groups apart, came with higher drug use in one model.
That signal wobbled under stricter statistics and different adjustments. Prediction failed outright: the models explained less than nothing on unseen farms. The authors are candid that the patterns are model-dependent observations, not proof of cause. Farm hygiene scores built for internal monitoring, they warn, cannot yet forecast antibiotic needs.
Catalog record
| CREATOR | Krisztián Vribék, Máté Farkas, Szilveszter Csorba, Miklós Süth, László Gombos, Ádám Kerek, Evelin Imre, Zoltán Somogyi, Ákos Jerzsele, Zsuzsa Farkas |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 90 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |