Uncovering biosecurity gaps: risk factors for PRRSV seropositivity in Costa Rican pig farms identified through machine learning.
- DOI
- 10.1186/s40813-026-00495-4
- Published
- 2026 Feb 21
- Container
- Porcine health management
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s40813-026-00495-4,
title = {Uncovering biosecurity gaps: risk factors for PRRSV seropositivity in Costa Rican pig farms identified through machine learning.},
author = {Meléndez-Arce R and Jiménez-Loaiza E and Leiva-Bonilla B and Venegas-Soto JC and Rocha-Palma M and Van Nes A and Stegeman A and Vernooij H and Romero-Zúñiga JJ},
year = {2026},
journal = {Porcine health management},
doi = {10.1186/s40813-026-00495-4},
url = {https://doi.org/10.1186/s40813-026-00495-4}
}RIS
TY - JOUR TI - Uncovering biosecurity gaps: risk factors for PRRSV seropositivity in Costa Rican pig farms identified through machine learning. AU - Meléndez-Arce R AU - Jiménez-Loaiza E AU - Leiva-Bonilla B AU - Venegas-Soto JC AU - Rocha-Palma M AU - Van Nes A AU - Stegeman A AU - Vernooij H AU - Romero-Zúñiga JJ PY - 2026 JO - Porcine health management DO - 10.1186/s40813-026-00495-4 UR - https://doi.org/10.1186/s40813-026-00495-4 ER -
APA
R, M., E, J., B, L., JC, V., M, R., A, V. N., A, S., H, V., & JJ, R. (2026). Uncovering biosecurity gaps: risk factors for PRRSV seropositivity in Costa Rican pig farms identified through machine learning.. Porcine health management. https://doi.org/10.1186/s40813-026-00495-4
Source records
- pubmed · retrieved 2026-09-27T15:59:22.258Z