Additive Bayesian networks for antimicrobial resistance and potential risk factors in non-typhoidal Salmonella isolates from layer hens in Uganda

BACKGROUND: Multi-drug resistant bacteria are seen increasingly and there are gaps in our understanding of the complexity of antimicrobial resistance, partially due to a lack of appropriate statistical tools. This hampers efficient treatment, precludes determining appropriate intervention points and...

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Detalles Bibliográficos
Autores principales: Hartnack, Sonja, Odoch, Terence, Kratzer, Gilles, Furrer, Reinhard, Wasteson, Yngvild, L’Abée-Lund, Trine M., Skjerve, Eystein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591809/
https://www.ncbi.nlm.nih.gov/pubmed/31234834
http://dx.doi.org/10.1186/s12917-019-1965-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6591809/
https://www.ncbi.nlm.nih.gov/pubmed/31234834
http://dx.doi.org/10.1186/s12917-019-1965-y

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