| Literature DB >> 25578301 |
C S Abboud1, J Monteiro2, J I D França1, A C Pignatari3, E E De Souza1, E C G Camargo4, A M V Monteiro4, R G Dos Santos3, C R V Kiffer3.
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.Entities:
Keywords: KPC; outbreaks; space–time; surveillance
Mesh:
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Year: 2015 PMID: 25578301 PMCID: PMC9151047 DOI: 10.1017/S0950268814003811
Source DB: PubMed Journal: Epidemiol Infect ISSN: 0950-2688 Impact factor: 4.434