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

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...

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Detalles Bibliográficos
Autores principales: Sundermann, Alexander J., Chen, Jieshi, Miller, James K., Martin, Elise M., Snyder, Graham M., Van Tyne, Daria, Marsh, Jane W., Dubrawski, Artur, Harrison, Lee H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726481/
https://www.ncbi.nlm.nih.gov/pubmed/36483409
http://dx.doi.org/10.1017/ash.2021.241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726481/
https://www.ncbi.nlm.nih.gov/pubmed/36483409
http://dx.doi.org/10.1017/ash.2021.241

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