Legionnaires' disease: evaluation of a quantitative microbial risk assessment model.
BACKGROUND
The quantities of Legionella vary considerably from natural waters to water in contaminated domestic hot water supplies, whirlpool spas and cooling towers, with the risk for LD rising as the Legionella counts grow. We currently report the results from our Quantitative Microbial Risk Assessment (QMRA) model evaluation. We developed the LD QMRA model to better understand Legionella exposure risks.


METHODS
Using an animal data derived model for LD, we calculated risks from estimated exposures for a whirlpool spa outbreak, two hot spring spa outbreaks and compared the results to the reported LD risks.


RESULTS
The QMRA model shows agreement (generally less than an order of magnitude discrepancy) with the reported Legionnaires' disease sub-clinical severity infection, clinical severity infection, and mortality risks.


CONCLUSIONS
The LD QMRA model may lead to risk based limits to supplement the current guidance on Legionella control in cooling towers, whirlpool spas and other potential exposure sources. The verification of QMRA for LD also suggests the techniques, given suitable animal model data, may be useful in quantifying human response to other airborne pathogens.
Armstrong
Thomas W
TW
ExxonMobil Biomedical Sciences, Inc., Annandale, NJ 08801-0971, USA. twa8hr@gmail.com
Haas
Charles N
CN
D000818:Animals; D015169:Colony Count, Microbial; D004196:Disease Outbreaks; D045482:Hot Springs / Q000382:microbiology; D006801:Humans; D006875:Hydrotherapy; D016952:Legionella pneumophila / Q000472:pathogenicity*; D007877:Legionnaires' Disease / Q000453:epidemiology*; D007928:Lethal Dose 50; D023421:Models, Animal; D015233:Models, Statistical; D011336:Probability; D018570:Risk Assessment; D014871:Water Microbiology