Flowchart of selecting target hospitals.

<div><p>Surveillance of antimicrobial resistance (AMR) is a crucial strategy to combat AMR. Using routine surveillance data, we could detect and control hospital outbreaks of AMR bacteria as early as possible. Previously, we developed a framework for automatic detection of clusters of AM...

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Bibliographic Details
Main Author:	Yumiko Hosaka (14642367) (author)
Other Authors:	Aki Hirabayashi (9033959) (author), Adam Clark (7838714) (author), Meghan Baker (19942541) (author), Motoyuki Sugai (444549) (author), John Stelling (366959) (author), Koji Yahara (210105) (author)
Published:	2024
Subjects:	Pharmacology Cancer Virology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> surveillance world &# 8217 produce varying results five particular antimicrobials time permutation ). publicly reported outbreaks enhanced automated detection control hospital outbreaks specific resistance profiles national surveillance data janis ), one amr bacteria within detecting vre clusters statistical clusters using time uniform algorithm time uniform vre ), amr bacteria vre clusters vre resistant detection capabilities cluster detection automatic detection detect clusters resistant enterococci published studies different algorithms crucial strategy could detect combat amr clear advantage antimicrobial resistance analyzing combinations although half also effective
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Flowchart of selecting target hospitals.

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