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Cambridge University Press, Infection Control and Hospital Epidemiology, 2(32), p. 136-147, 2011

DOI: 10.1086/657945

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Effect of Patterns of Transferring Patients among Healthcare Institutions on Rates of Nosocomial Methicillin-ResistantStaphylococcus aureusTransmission: A Monte Carlo Simulation

Journal article published in 2011 by Maia Lesosky ORCID, Allison McGeer, Andrew Simor, Karen Green, Don E. Low, Janet Raboud
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Objective.To determine the effect of the rate and pattern of patient transfers among institutions within a single metropolitan area on the rates of methicillin-resistantStaphylococcus aureus(MRSA) transmission among patients in hospitals and nursing homes.Methods.A stochastic, discrete-time, Monte Carlo simulation was used to model the rate and spread of MRSA transmission among patients in medical institutions within a single metropolitan area. Admission, discharges, transfers, and nosocomial transmission were simulated with respect to different interinstitutional transfer strategies and various situational scenarios, such as outlier institutions with high transmission rates.Results.The simulation results indicated that transfer patterns and transfer rate changes do not affect nosocomial MRSA transmission. Outlier institutions with high transmission rates affect the systemwide rate of nosocomial infections differently, depending on institution type.Conclusion.It is worth effort to understanding disease-transmission dynamics and interinstitutional transfer patterns for the management of recently introduced diseases or strains. Once endemic in a system, other strategies for transmission control need to be implemented.