Autores: C. S. ABBOUD, J. MONTEIRO, J. I. D. FRANÇA, A. C. PIGNATARI, E. E. DE SOUZA, E. C. G. CAMARGO, A. M. V. MONTEIRO, R. G. DOS SANTOS and C. R. V. KIFFER
Publicação: Epidemiology & Infection • Volume 143, Issue 12 September 2015, pp. 2648-2652 DOI: https://doi.org/10.1017/S0950268814003811 Published online: 12 January 2015
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.