Fig 4 -

<p>Monthly trend of the number of patients with VRE (upper) and that of the number of patients with each of the three resistance profiles in two different wards (Ward A and B) of Hospital D-1 between January 2020 and December 2021. The meanings of the arrows, bars, and RP numbers are the same...

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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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Fig 4 -

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