@Article{AbboudMFPSCMSK:2015:SpMoCa,
author = "Abboud, C. S. and Monteiro, J. and Fran{\c{c}}a, J. I. D. and
Pignatari, A. C. and Souza, E. E. de and Camargo, Eduardo Celso
Gerbi and Monteiro, Ant{\^o}nio Miguel Vieira and Santos, R. G.
dos and Kiffer, C. R. V.",
affiliation = "{Instituto Dante Pazzanese de Cardiologia} and
{Associa{\c{c}}{\~a}o Fundo de Incentivo a Pesquisa (AFIP)} and
{Instituto Dante Pazzanese de Cardiologia} and {Universidade
Federal de S{\~a}o Paulo (UNIFESP)} and {Instituto Dante
Pazzanese de Cardiologia} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Universidade Federal de S{\~a}o Paulo (UNIFESP)} and
{Universidade Federal de S{\~a}o Paulo (UNIFESP)}",
title = "A space–time model for carbapenemase-producing Klebsiella
pneumoniae (KPC) cluster quantification in a high-complexity
hospital",
journal = "Epidemiology and Infection",
year = "2015",
volume = "143",
number = "12",
pages = "2648--2652",
month = "Sept.",
keywords = "KPC, outbreaks, space–time, surveillance.",
abstract = "A retrospective spacetime 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 spacetime strategies for
cluster quantification within confined environments may be
useful.",
doi = "10.1017/S0950268814003811",
url = "http://dx.doi.org/10.1017/S0950268814003811",
issn = "0950-2688",
language = "en",
targetfile = "abbou_space time.pdf",
urlaccessdate = "15 jun. 2024"
}