Abstract
A retrospective space-time permutation model with non-Euclidean distance criteria was applied within a high-complexity hospital setting to quantitatively explore cluster patterns of 273 patients infected with or colonized by carbapenemase-producing Klebsiella pneumoniae during 4 years. Results were compared to standard nosocomial active-surveillance methods. Two clusters were identified in the period, suggesting that space-time strategies for cluster quantification within confined environments may be useful.
Keywords:
KPC; outbreaks; space–time; surveillance.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Bacterial Proteins / biosynthesis
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Bacterial Proteins / genetics
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Carrier State / diagnosis
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Carrier State / epidemiology
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Cluster Analysis
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Cross Infection / diagnosis
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Cross Infection / epidemiology
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Disease Outbreaks*
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Female
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Hospitals
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Humans
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Klebsiella Infections / diagnosis
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Klebsiella Infections / epidemiology*
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Klebsiella pneumoniae / enzymology
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Klebsiella pneumoniae / genetics
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Klebsiella pneumoniae / isolation & purification*
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Male
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Microbial Sensitivity Tests
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Models, Statistical*
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Population Surveillance / methods*
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Retrospective Studies
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Spatio-Temporal Analysis
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beta-Lactamases / biosynthesis
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beta-Lactamases / genetics
Substances
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Bacterial Proteins
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beta-Lactamases
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carbapenemase