title: Computer simulation of pathogen transmission in the medical intensive care unit: a comparison of two probabilistic methods.
abstract: The quantitative evaluation of pathogen transmission in the medical intensive care unit (MICU) is difficult given the small number of patients and the complexity and severity of illness. We sought to evaluate the suitability of a probabilistic computer model of our MICU, with which we could rapidly simulate infection control measures and other clinical interventions that would be impossible to perform in the real clinical setting
authors.affiliation: Medical Informatics, Division of Infectious Diseases and Immunology, Department of Medicine, New York University School of Medicine, New York, 10016-9196, USA.
authors.forename: Marc M
authors.initials: MM
authors.lastname: Triola
authors.forename: Robert S
authors.initials: RS
authors.lastname: Holzman
mesh_terms: D003198:Computer Simulation; D003428:Cross Infection / Q000635:transmission*; D003663:Decision Trees; D018562:Disease Transmission, Infectious; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D017053:Infection Control; D007362:Intensive Care Units; D007902:Length of Stay; D008954:Models, Biological