A space–time model for carbapenemase-producing Klebsiellapneumoniae (KPC) cluster quantification in a high-complexityhospital

A retrospective space–time permutation model with non-Euclidean distance criteria was appliedwithin a high-complexity hospital setting to quantitatively explore cluster patterns of 273 patientsinfected with or colonized by carbapenemase-producing Klebsiella pneumoniae during 4 years.Results were compared to standard nosocomial active-surveillance methods. Two clusters wereidentified in the period, suggesting that space–time strategies for cluster quantification withinconfined environments may be useful.