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

Alexander J SundermannJieshi Chen James Kyle Miller Elise M Martin Graham M Snyder Daria Van TyneJane W MarshArtur W DubrawskiLee H Harrison

Published in: Antimicrobial stewardship & healthcare epidemiology : ASHE (2022)

WGS surveillance is an emerging method that can enhance outbreak detection. Machine learning has the potential to identify novel routes of pathogen transmission. Broader incorporation of WGS surveillance into infection prevention practice has the potential to transform the detection and control of healthcare outbreaks.

Keyphrases

healthcare
machine learning
public health
loop mediated isothermal amplification
label free
real time pcr
artificial intelligence
primary care
big data
deep learning
candida albicans
climate change
health information
quantum dots