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2011-03-05Zeitschriftenartikel DOI: 10.1017/S0950268811000264
A quantitative approach to analyse linkages between antimicrobial resistance properties in Salmonella Typhimurium isolates
dc.contributor.authorRuddat, I.
dc.contributor.authorSchwarz, S.
dc.contributor.authorTietze, Erhard
dc.contributor.authorZiehm, D.
dc.contributor.authorKreienbrock, L.
dc.date.accessioned2018-05-07T15:24:18Z
dc.date.available2018-05-07T15:24:18Z
dc.date.created2012-03-05
dc.date.issued2011-03-05none
dc.identifier.otherhttp://edoc.rki.de/oa/articles/re6bnJ22GhZ/PDF/27Z1CrKKpfBaA.pdf
dc.identifier.urihttp://edoc.rki.de/176904/1136
dc.description.abstractThis study used statistical methods to investigate linkages in phenotypic resistance profiles in a population sample of 321 Salmonella Typhimurium isolates from sporadic salmonellosis cases in Lower Saxony, Germany, collected during 2008–2010. A resistance index was applied to calculate the conditional probability of resistance to one antimicrobial agent given the resistance to one or more other antimicrobial agent(s). A susceptibility index was defined analogously. A contingency plot, which visualizes the association between resistances to two antimicrobial agents, facilitated the interpretation. Linkages between minimum inhibitory concentrations (MIC) were analysed using Spearman's rank correlation coefficient and jittered scatter plots. Applying these methods provided a compact description of multi-resistance and linkages between resistance properties in large datasets. Moreover, this approach will improve monitoring of antimicrobial resistance dynamics of bacteria in human or animal populations by identifying linked resistance to antimicrobial agents (cross- or co-resistance) with a non-molecular method.eng
dc.language.isoeng
dc.publisherRobert Koch-Institut, Infektionskrankheiten / Erreger
dc.subjectContingency ploteng
dc.subjectco-resistanceeng
dc.subjectresistance indexeng
dc.subjectmulti-resistanceeng
dc.subjectsporadic salmonellosis caseseng
dc.subject.ddc610 Medizin
dc.titleA quantitative approach to analyse linkages between antimicrobial resistance properties in Salmonella Typhimurium isolates
dc.typeperiodicalPart
dc.identifier.urnurn:nbn:de:0257-10020661
dc.identifier.doi10.1017/S0950268811000264
dc.identifier.doihttp://dx.doi.org/10.25646/1061
local.edoc.container-titleEpidemiology and Infection
local.edoc.container-textI. RUDDAT, S. SCHWARZ, E. TIETZE, D. ZIEHM and L. KREIENBROCK (2012). A quantitative approach to analyse linkages between antimicrobial resistance properties in Salmonella Typhimurium isolates. Epidemiology and Infection, 140 , pp 157-167
local.edoc.fp-subtypeArtikel
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-urlhttp://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8443296
local.edoc.container-publisher-nameCambridge University Press
local.edoc.container-volume140
local.edoc.container-year2011

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