1726. A Random Forest Prediction Model Accurately Identifies Periods at Increased Risk for Positive Legionella Cultures in a Hospital Water Distribution System

摘要

BackgroundHospitals devote considerable resources to water distribution system (WS) surveillance and remediation for Legionella in an effort to reduce risk of transmitting Legionnaires disease (LD). There are no models that accurately predict periods of greatest risk for Legionella culture positivity (cx +) within a WS. Our goal was to build and validate a model based on weather and water parameters that predicted Legionella cx+ in our hospital WS.