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

• Váldodahkkit: Alexander J. Sundermann (Dahkki), Jieshi Chen (Dahkki), James K. Miller (Dahkki), Elise M. Martin (Dahkki), Graham M. Snyder (Dahkki), Daria Van Tyne (Dahkki), Jane W. Marsh (Dahkki), Artur Dubrawski (Dahkki), Lee H. Harrison (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Cambridge University Press, 2022-01-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

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...