Literature DB >> 16257465

Stakeholder position paper: epidemiological perspectives on antibiotic use in animals.

Randall S Singer1, Richard Reid-Smith, William M Sischo.   

Abstract

Epidemiologists studying antimicrobial resistance are often interested in analyzing the association between antimicrobial resistance and antimicrobial use in animals, and on the impact of antimicrobial use in animals on the occurrence of resistance in bacteria affecting human populations. Given the various potential antimicrobial use data sources, it seems likely there will be some variability in the utility of the data for interpreting trends in antimicrobial resistance and investigating the relationship between antimicrobial use in animals and antimicrobial resistance in bacteria affecting human health. From an epidemiologic perspective, the major issues related to incorporation of antimicrobial use data into antimicrobial resistance monitoring programs are the further development of epidemiologic methods for collecting, quantifying, analyzing and interpreting use data; an open and realistic consideration of the limitations of the data; developing an understanding of scaling, temporal and spatial heterogeneity issues; and the interpretative problems of ecologic and atomistic fallacy. Given the many potential biases in antimicrobial use data, attempts to relate levels of antimicrobial use to levels of antimicrobial resistance should be done with caution until the data are better understood and the aforementioned issues have been addressed.

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Year:  2005        PMID: 16257465     DOI: 10.1016/j.prevetmed.2005.09.019

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  8 in total

1.  Metrics for quantifying antimicrobial use in beef feedlots.

Authors:  Katharine M Benedict; Sheryl P Gow; Richard J Reid-Smith; Calvin W Booker; Paul S Morley
Journal:  Can Vet J       Date:  2012-08       Impact factor: 1.008

2.  Comparison of two methods for collecting antibiotic use data on small dairy farms.

Authors:  L E Redding; F Cubas-Delgado; M D Sammel; G Smith; D T Galligan; M Z Levy; S Hennessy
Journal:  Prev Vet Med       Date:  2014-02-19       Impact factor: 2.670

3.  Antimicrobial use through feed, water, and injection in 20 swine farms in Alberta and Saskatchewan.

Authors:  Leigh B Rosengren; Cheryl L Waldner; Richard J Reid-Smith; John C S Harding; Sheryl P Gow; Wendy L Wilkins
Journal:  Can J Vet Res       Date:  2008       Impact factor: 1.310

4.  Spatial patterns of antimicrobial resistance genes in a cross-sectional sample of pig farms with indoor non-organic production of finishers.

Authors:  A C Birkegård; A K Ersbøll; T Halasa; J Clasen; A Folkesson; H Vigre; N Toft
Journal:  Epidemiol Infect       Date:  2017-02-20       Impact factor: 4.434

5.  Resistance to change: AMR gene dynamics on a commercial pig farm with high antimicrobial usage.

Authors:  Jolinda Pollock; Adrian Muwonge; Michael R Hutchings; Geoffrey Mainda; Barend M Bronsvoort; David L Gally; Alexander Corbishley
Journal:  Sci Rep       Date:  2020-02-03       Impact factor: 4.379

6.  The Wide Range of Antibiotic Resistance and Variability of Genotypic Profiles in Escherichia coli from Domestic Animals in Eastern Sicily.

Authors:  Nunziatina Russo; Alessandro Stamilla; Giuseppe Cascone; Cinzia Lucia Randazzo; Antonino Messina; Massimiliano Lanza; Alessandra Pino; Cinzia Caggia; Francesco Antoci
Journal:  Antibiotics (Basel)       Date:  2020-12-31

7.  Using informatics and the electronic medical record to describe antimicrobial use in the clinical management of diarrhea cases at 12 companion animal practices.

Authors:  R Michele Anholt; John Berezowski; Carl S Ribble; Margaret L Russell; Craig Stephen
Journal:  PLoS One       Date:  2014-07-24       Impact factor: 3.240

8.  Association between selected antimicrobial resistance genes and antimicrobial exposure in Danish pig farms.

Authors:  Anna Camilla Birkegård; Tariq Halasa; Kaare Græsbøll; Julie Clasen; Anders Folkesson; Nils Toft
Journal:  Sci Rep       Date:  2017-08-29       Impact factor: 4.379

  8 in total

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