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dc.contributor.authorvan der Werff, Suzanne D
dc.contributor.authorVerberk, Janneke D M
dc.contributor.authorBuchli, Christian
dc.contributor.authorvan Mourik, Maaike S M
dc.contributor.authorNauclér, Pontus
dc.date.accessioned2023-09-11T15:08:15Z
dc.date.available2023-09-11T15:08:15Z
dc.date.issued2023-09-08
dc.identifier.pmid37679824
dc.identifier.doi10.1186/s13756-023-01288-y
dc.identifier.urihttp://hdl.handle.net/10029/626939
dc.language.isoenen_US
dc.rights© 2023. BioMed Central Ltd., part of Springer Nature.
dc.subjectAlgorithmsen_US
dc.subjectAutomated surveillanceen_US
dc.subjectColorectal surgeryen_US
dc.subjectHealthcare-associated infectionsen_US
dc.subjectSurgical site infectionsen_US
dc.subjectValidationen_US
dc.titleExternal validation of semi-automated surveillance algorithms for deep surgical site infections after colorectal surgery in an independent country.en_US
dc.typeArticleen_US
dc.identifier.eissn2047-2994
dc.identifier.journalAntimicrob Resist Infect Control 2023;12(1):96en_US
dc.source.journaltitleAntimicrobial resistance and infection control
dc.source.volume12
dc.source.issue1
dc.source.beginpage96
dc.source.endpage
dc.source.countryEngland


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