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

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 unidentified outbrea...

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Veröffentlicht in:	Clinical infectious diseases 2021-08, Vol.73 (3), p.e638-e642
Hauptverfasser:	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
Format:	Artikel
Sprache:	eng
Schlagworte:	Cross Infection - diagnosis Cross Infection - epidemiology Disease Outbreaks Gastroscopes Humans Online Only Pseudomonas aeruginosa - genetics Pseudomonas Infections - diagnosis Pseudomonas Infections - epidemiology Retrospective Studies Whole Genome Sequencing
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