Literature DB >> 17577752

Quantitative microbial risk assessment model for Legionnaires' disease: assessment of human exposures for selected spa outbreaks.

Thomas W Armstrong1, Charles N Haas.   

Abstract

Evaluation of a quantitative microbial risk assessment (QMRA) model for Legionnaires' disease (LD) required Legionella exposure estimates for several well-documented LD outbreaks. Reports for a whirlpool spa and two natural spring spa outbreaks provided data for the exposure assessment, as well as rates of infection and mortality. Exposure estimates for the whirlpool spa outbreak employed aerosol generation, water composition, exposure duration data, and building ventilation parameters with a two-zone model. Estimates for the natural hot springs outbreaks used bacterial water to air partitioning coefficients and exposure duration information. The air concentration and dose calculations used input parameter distributions with Monte Carlo simulations to estimate exposures as probability distributions. The assessment considered two sets of assumptions about the transfer of Legionella from the water phase to the aerosol emitted from the whirlpool spa. The estimated air concentration near the whirlpool spa was 5 to 18 colony forming units per cubic meter (CFU/m(3)) and 50 to 180 CFU/m(3) for each of the alternate assumptions. The estimated 95th percentile ranges of Legionella dose for workers within 15 m of the whirlpool spa were 0.13-3.4 CFU and 1.3-34.5 CFU, respectively. The modeling for hot springs Spas 1 and 2 resulted in estimated arithmetic mean air concentrations of 360 and 17 CFU/m(3), respectively, and 95 percentile ranges for Legionella dose of 28 to 67 CFU and 1.1 to 3.7 CFU, respectively. The Legionella air concentration estimates fall in the range of limited reports on air concentrations of Legionella (0.33 to 190 CFU/m(3)) near showers, aerated faucets, and baths during filling with Legionella-contaminated water. These measurements may provide some indication that the estimates are of a reasonable magnitude, but they do not clarify the exposure estimates accuracy, since they were not obtained during LD outbreaks. Further research to improve the data used for the Legionella exposure assessment would strengthen the results. Several of the primary additional data needs include improved data for bacterial water to air partitioning coefficients, better accounting of time-activity-distance patterns and exposure potential in outbreak reports, and data for Legionella-containing aerosol viability decay instead of loss of capability for growth in culture.

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Year:  2007        PMID: 17577752     DOI: 10.1080/15459620701487539

Source DB:  PubMed          Journal:  J Occup Environ Hyg        ISSN: 1545-9624            Impact factor:   2.155


  10 in total

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2.  Mathematical models for assessing the role of airflow on the risk of airborne infection in hospital wards.

Authors:  Catherine J Noakes; P Andrew Sleigh
Journal:  J R Soc Interface       Date:  2009-10-07       Impact factor: 4.118

3.  Evaluation of Exposure to Brevundimonas diminuta and Pseudomonas aeruginosa during Showering.

Authors:  Sandip Chattopadhyay; Sarah D Perkins; Matthew Shaw; Tonya L Nichols
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4.  Aerosolization of respirable droplets from a domestic spa pool and the use of MS-2 coliphage and Pseudomonas aeruginosa as markers for Legionella pneumophila.

Authors:  Ginny Moore; Matthew Hewitt; David Stevenson; Jimmy T Walker; Allan M Bennett
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5.  Legionella Risk Management and Control in Potable Water Systems: Argument for the Abolishment of Routine Testing.

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Review 7.  Uncertainties associated with assessing the public health risk from Legionella.

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8.  Characterization of aerosols containing Legionella generated upon nebulization.

Authors:  Séverine Allegra; Lara Leclerc; Pierre André Massard; Françoise Girardot; Serge Riffard; Jérémie Pourchez
Journal:  Sci Rep       Date:  2016-09-27       Impact factor: 4.379

9.  Experimental human-like model to assess the part of viable Legionella reaching the thoracic region after nebulization.

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Journal:  PLoS One       Date:  2017-10-05       Impact factor: 3.240

10.  Quantitative Microbial Risk Assessment and Opportunist Waterborne Infections⁻Are There Too Many Gaps to Fill?

Authors:  Richard Bentham; Harriet Whiley
Journal:  Int J Environ Res Public Health       Date:  2018-06-01       Impact factor: 3.390

  10 in total

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