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, machine learning or statistical modeling to supple

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