A space-time model for carbapenemase-producing Klebsiella pneumoniae (KPC) cluster quantification in a high-complexity hospital

被引:6
作者
Abboud, C. S. [1 ]
Monteiro, J. [2 ]
Franca, J. I. D. [1 ]
Pignatari, A. C. [3 ]
De Souza, E. E. [1 ]
Camargo, E. C. G. [4 ]
Monteiro, A. M. V. [4 ]
Dos Santos, R. G. [3 ]
Kiffer, C. R. V. [3 ]
机构
[1] Inst Dante Pazzanese Cardiol, Sao Paulo, Brazil
[2] AFIP, Sao Paulo, Brazil
[3] Univ Fed Sao Paulo, Escola Paulista Med, UNIFESP, Sao Paulo, Brazil
[4] Inst Nacl Pesquisas Espaciais, Sao Paulo, Brazil
基金
巴西圣保罗研究基金会;
关键词
KPC; outbreaks; space-time; surveillance;
D O I
10.1017/S0950268814003811
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:2648 / 2652
页数:5
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