Outbreak of Pseudomonas aeruginosa Infections from a Contaminated Gastroscope Detected by Whole Genome Sequencing Surveillance

BACKGROUND: Traditional methods of outbreak investigations utilize reactive whole genome sequencing (WGS) to confirm or refute the outbreak. We have implemented WGS surveillance and a machine learning (ML) algorithm for the electronic health record (EHR) to retrospectively detect previously unidenti...

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Bibliografiska uppgifter
I publikationen:Clin Infect Dis
Huvudupphovsmän: Sundermann, Alexander J, Chen, Jieshi, Miller, James K, Saul, Melissa I, Shutt, Kathleen A, Griffith, Marissa P, Mustapha, Mustapha M, Ezeonwuka, Chinelo, Waggle, Kady, Srinivasa, Vatsala, Kumar, Praveen, Pasculle, A William, Ayres, Ashley M, Snyder, Graham M, Cooper, Vaughn S, Van Tyne, Daria, Marsh, Jane W, Dubrawski, Artur W, Harrison, Lee H
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2020
Ämnen:
Online Only Articles
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC8326550/
https://ncbi.nlm.nih.gov/pubmed/33367518
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/cid/ciaa1887
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