Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary

Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary

Abstract Background: Whole-genome sequencing (WGS) has traditionally been used in infection prevention to confirm or refute the presence of an outbreak after it has occurred. Due to decreasing costs of WGS, an increasing number of institutions have been utilizing WGS-based surveillance. Additionally...

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Main Authors: Alexander J. Sundermann (Author), Jieshi Chen (Author), James K. Miller (Author), Elise M. Martin (Author), Graham M. Snyder (Author), Daria Van Tyne (Author), Jane W. Marsh (Author), Artur Dubrawski (Author), Lee H. Harrison (Author)
Format: Book
Published: Cambridge University Press, 2022-01-01T00:00:00Z.
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3rd Floor Main Library

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