1. A space–time model for carbapenemase-producing Klebsiella pneumoniae (KPC) cluster quantification in a high-complexity hospital
- Author
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Eduardo Celso Gerbi Camargo, Antônio Miguel Vieira Monteiro, Carlos R.V. Kiffer, E. E. De Souza, R. G. Dos Santos, Jussimara Monteiro, Antonio Carlos Campos Pignatari, Cely S. Abboud, and João França
- Subjects
Male ,Cross infection ,medicine.medical_specialty ,Epidemiology ,Klebsiella pneumoniae ,Hospital setting ,Short Report ,Microbial Sensitivity Tests ,beta-Lactamases ,Disease Outbreaks ,Microbiology ,Bacterial protein ,Spatio-Temporal Analysis ,Bacterial Proteins ,Internal medicine ,medicine ,Cluster (physics) ,Cluster Analysis ,Humans ,Retrospective Studies ,Cross Infection ,Models, Statistical ,biology ,business.industry ,Carrier state ,Klebsiella infections ,Carbapenemase producing ,biology.organism_classification ,Hospitals ,Klebsiella Infections ,Infectious Diseases ,Population Surveillance ,Carrier State ,Female ,business - Abstract
SUMMARYA 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.
- Published
- 2015
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