Large-Scale Evaluation of a Rapid Fully Automated Analysis Platform to Detect and Refute Outbreaks Based on MRSA Genome Comparisons

Large-Scale Evaluation of a Rapid Fully Automated Analysis Platform to Detect and Refute Outbreaks Based on MRSA Genome Comparisons

ABSTRACT Genomic epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) could transform outbreak investigations, but its clinical introduction is hampered by the lack of automated data analysis tools to rapidly and accurately define transmission based on sequence relatedness. We aimed to...

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Bibliographic Details
Main Authors: Kathy E. Raven, Eugene Bragin, Beth Blane, Danielle Leek, Narender Kumar, Paul A. Rhodes, David A. Enoch, Rachel Thaxter, Nicholas M. Brown, Julian Parkhill, Sharon J. Peacock
Format: Article
Language:English
Published: American Society for Microbiology 2022-12-01
Series:mSphere
Subjects:
MRSA
genome
infection prevention and control
outbreaks
sequencing
Online Access:https://journals.asm.org/doi/10.1128/msphere.00283-22

Internet

https://journals.asm.org/doi/10.1128/msphere.00283-22

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