Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Feb 11;10(2):422.
doi: 10.3390/microorganisms10020422.

Probabilistic Analysis of a French Legionellosis Outbreak Shows Potential Role of Wastewater Basin

Affiliations

Probabilistic Analysis of a French Legionellosis Outbreak Shows Potential Role of Wastewater Basin

France Wallet et al. Microorganisms. .

Abstract

Based on the data from a French outbreak of legionellosis, a probabilistic approach was developed to analyze and assess the potential role of several suspected sources of contamination. Potential dates of exposure of all cases were determined using back-calculation, using two probability distribution functions to model incubation period. A probabilistic analysis and risk assessment were then used to determine the most probable sources of contamination for each wave of the outbreak. The risk assessment was based on parameters representing emission and dispersion of Legionella: level and duration of emission; aerosol dispersion capacity; and probability of potential exposure for each patient. Four types of facilities containing the Legionella epidemic strain were analyzed: cooling towers, aerated wastewater basins, high pressure water cleaners, and car wash stations. The results highlighted the potential role of an aerated wastewater basin in the outbreak in addition to cooling towers. The role of high-pressure water cleaners and car wash stations appeared to be non-significant. This study also reveals the lack of knowledge on facility parameters that can be useful for microbial risk assessments. This type of probabilistic analysis can be used to quantitatively assess the risk for various facilities in order to manage a legionellosis outbreak.

Keywords: Legionella; Legionnaires’ disease; air-borne infections; epidemiology; legionellosis; outbreaks.

PubMed Disclaimer

Conflict of interest statement

All the authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Distribution of potential dates of exposure using two laws of probability: truncated lognormal distribution and uniform distribution.

References

    1. Cunha B.A., Burillo A., Bouza E. Legionnaires’ disease. Lancet. 2016;387:376–385. doi: 10.1016/S0140-6736(15)60078-2. - DOI - PubMed
    1. Herwaldt L.A., Marra A.R. Legionella: A reemerging pathogen. Curr. Opin. Infect. Dis. 2018;31:325–333. doi: 10.1097/QCO.0000000000000468. - DOI - PubMed
    1. Dominguez A., Alvarez J., Sabria M., Carmona G., Torner N., Oviedo M., Cayla J., Minguell S., Barrabeig I., Sala M., et al. Factors influencing the case-fatality rate of legionnaires’ disease. Int. J. Tuberc Lung Dis. 2009;13:407–412. - PubMed
    1. Joseph C.A., Harrison T.G., Ilijic-Car D., Bartlett C.L. Legionnaires’ disease in residents of england and wales: 1998. Commun. Dis. Public Health. 1999;2:280–284. - PubMed
    1. Walser S.M., Gerstner D.G., Brenner B., Holler C., Liebl B., Herr C.E. Assessing the environmental health relevance of cooling towers—a systematic review of legionellosis outbreaks. Int. J. Hyg. Environ. Health. 2014;217:145–154. doi: 10.1016/j.ijheh.2013.08.002. - DOI - PubMed

LinkOut - more resources