Infection Control and Hospital Epidemiology · 2011 · 72 citations · 19 references
Veterinary MedicineInfectious Disease ControlInfectious DiseasesInfection PreventionInfectious Disease EpidemiologySpatial EpidemiologyDisease SpreadInfectious Disease DynamicsNosocomial Infection EpidemiologyOutbreak ManagementTransmission DynamicsTransmission Network AnalysisAgent-based Epidemic ModelingInfection Transmission DynamicsInfectious Disease ModelsIntensive Care Unit OutbreaksNosocomial Outbreak DynamicsTransmission CoefficientsTransmission Dynamics In HospitalsTransmission Dynamics Modeling
BACKGROUND: Since hospitals in a region often share patients, an outbreak of methicillin-resistant Staphylococcus aureus (MRSA) infection in one hospital could affect other hospitals. METHODS: Using extensive data collected from Orange County (OC), California, we developed a detailed agent-based model to represent patient movement among all OC hospitals. Experiments simulated MRSA outbreaks in various wards, institutions, and regions. Sensitivity analysis varied lengths of stay, intraward transmission coefficients (β), MRSA loss rate, probability of patient transfer or readmission, and time to readmission. RESULTS: Each simulated outbreak eventually affected all of the hospitals in the network, with effects depending on the outbreak size and location. Increasing MRSA prevalence at a single hospital (from 5% to 15%) resulted in a 2.9% average increase in relative prevalence at all other hospitals (ranging from no effect to 46.4%). Single-hospital intensive care unit outbreaks (modeled increase from 5% to 15%) caused a 1.4% average relative increase in all other OC hospitals (ranging from no effect to 12.7%). CONCLUSION: MRSA outbreaks may rarely be confined to a single hospital but instead may affect all of the hospitals in a region. This suggests that prevention and control strategies and policies should account for the interconnectedness of health care facilities.
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