Improving the risk assessment of antimicrobial resistance (AMR) along the food/feed chain and from environmental reservoirs using qMRA and probabilistic modelling

Efficient risk assessment of antimicrobial resistance (AMR) in environmental reservoirs, particularly agroecosystems, is critical for predicting threats to animal and human health due to infections unresponsive to antibiotic therapy. However, approaches currently employed for the risk assessment of...

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Detalles Bibliográficos
Autores principales: Niegowska, M, Wögerbauer, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Eu‐fora Series 4
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131593/
https://www.ncbi.nlm.nih.gov/pubmed/35634556
http://dx.doi.org/10.2903/j.efsa.2022.e200407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131593/
https://www.ncbi.nlm.nih.gov/pubmed/35634556
http://dx.doi.org/10.2903/j.efsa.2022.e200407

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