Antibiotic Use in Organic and Non-organic Swedish Dairy Farms: A Comparison of Three Recording Methods.

AMU BIN method DCDvet metric DDDvet metric farm level national surveillance systems

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2020
Historique:
received: 02 06 2020
accepted: 24 09 2020
entrez: 17 12 2020
pubmed: 18 12 2020
medline: 18 12 2020
Statut: epublish

Résumé

Biases of antimicrobial use (AMU) reporting systems pose a challenge to monitoring of AMU. Our study aimed to cross-compare three data sources of AMU in Swedish dairy herds to provide an account of the validity of AMU reports. We studied AMU differences between two production systems, to investigate how the reporting system affected this comparison. On-farm quantification of AMU via a manual collection of empty drug containers (BIN) took place in organic (

Identifiants

pubmed: 33330689
doi: 10.3389/fvets.2020.568881
pmc: PMC7673384
doi:

Types de publication

Journal Article

Langues

eng

Pagination

568881

Informations de copyright

Copyright © 2020 Olmos Antillón, Sjöström, Fall, Sternberg Lewerin and Emanuelson.

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Auteurs

Gabriela Olmos Antillón (G)

Department of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Karin Sjöström (K)

Department of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Nils Fall (N)

Department of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Susanna Sternberg Lewerin (S)

Department of Biomedical Sciences and Veterinary Public Health, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Ulf Emanuelson (U)

Department of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Classifications MeSH