Leveraging regulatory monitoring data for quantitative microbial risk assessment ofLegionella pneumophilain cooling towers

Abstract

AbstractCooling towers are critical engineered water systems for air conditioning and refrigeration but can create favorable conditions forLegionella pneumophilagrowth and aerosolization. Human exposure toL. pneumophila-contaminated aerosols can cause Legionnaire’s disease. Routine monitoring ofL. pneumophilain cooling towers offers possibilities to develop quantitative microbial risk assessment (QMRA) to guide system design, operation, control, and maintenance. Here, we used the regulatory monitoring database from Quebec, Canada, to develop statistical models for predictingL. pneumophilaconcentration variability in cooling towers and integrate these models into a screening-level QMRA to predict human health risks. Analysis of 105,463 monthlyL. pneumophilatest results revealed that the exceedance rate of the 104colony forming unit (CFU) per liter threshold was constant at 10% from 2016 to 2020, emphasizing the need to better validate the efficacy of corrective measures following the threshold exceedances. Among 2,852 cooling towers, 51.2% reported no detections, 38.5% had up to nine positives, and 10.2% over ten. The gamma or the lognormal distributions adequately described site-specific variations inL. pneumophilaconcentrations, but parametric uncertainty was very high for the lognormal distribution. We showed that rigorous model comparison is essential to predict peak concentrations accurately. Using QMRA, we found that, to meet a health-based target of 10-6DALY/pers.-year for clinical severity infections, an averageL. pneumophilaconcentration below 1.4 × 104CFU L-1should be maintained in cooling towers. We identified 137 cooling towers at risk of exceeding this limit, primarily due to the observation or prediction of rare peak concentrations above 105CFU L-1. Effective mitigation of those peaks is critical to controlling public health risks associated withL. pneumophila.