Detection of antimicrobial resistant Salmonella in livestock: a chance event?

Kimberley Kavanagh, Louise Anne Kelly, E.L. Snary, George Gettinby

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In Great Britain, monitoring the levels of antimicrobial resistant Salmonella in livestock occurs both as part of a passive surveillance system and as structured surveys. To provide insight into such surveillance activities, a probabilistic model has been developed to assess the probability of detecting resistance at the faecal, pen and farm level. Using this model, it is concluded that the probability of detecting resistant Salmonella is dependent upon the level of resistance within sample/pen/farm and the diagnostic power of the test used. The likelihood of detecting low level (e.g. emerging) resistance on individual farms was low and therefore the use of selective plating (antimicrobial present in the plate at the specified breakpoint concentration so growth confirms the presence of resistant Salmonella) is recommended. Importantly, the models provide an insight into the sampling and testing methods and could therefore be used to inform any future on-farm surveillance programmes or research projects.
Original languageEnglish
Title of host publicationProceedings of the 2008 Annual Conference of the Society for Veterinary Epidemiology and Preventive Medicine (SVEPM)
Subtitle of host publicationAnnual meeting Liverpool, 25-28 March 2008
EditorsE.J. Peeler, L. Alban, A. Russell
Place of PublicationRoslin, UK
Pages87-97
Number of pages11
Publication statusPublished - 2008
Event2008 Annual Conference of the Society for Veterinary Epidemiology and Preventive Medicine (SVEPM) - Liverpool, United Kingdom
Duration: 26 Mar 200828 Mar 2008

Conference

Conference2008 Annual Conference of the Society for Veterinary Epidemiology and Preventive Medicine (SVEPM)
Country/TerritoryUnited Kingdom
CityLiverpool
Period26/03/0828/03/08

Keywords

  • livestock
  • monitoring
  • probabilistic models
  • Salmonella infections
  • drug resistance
  • antibiotics

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