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Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017)

Legionella spp. are considered an important cause of potentially preventable morbidity and mortality, making environmental surveillance a crucial component of risk assessment plans. In this work, 20,319 water samples were collected in 3,983 environmental surveys during a 16-year period by ARPA, the...

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Autores principales: Felice, Antonella, Franchi, Marinella, De Martin, Stefano, Vitacolonna, Nicola, Iacumin, Lucilla, Civilini, Marcello
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615612/
https://www.ncbi.nlm.nih.gov/pubmed/31287819
http://dx.doi.org/10.1371/journal.pone.0218687
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author Felice, Antonella
Franchi, Marinella
De Martin, Stefano
Vitacolonna, Nicola
Iacumin, Lucilla
Civilini, Marcello
author_facet Felice, Antonella
Franchi, Marinella
De Martin, Stefano
Vitacolonna, Nicola
Iacumin, Lucilla
Civilini, Marcello
author_sort Felice, Antonella
collection PubMed
description Legionella spp. are considered an important cause of potentially preventable morbidity and mortality, making environmental surveillance a crucial component of risk assessment plans. In this work, 20,319 water samples were collected in 3,983 environmental surveys during a 16-year period by ARPA, the Regional Agency for Environmental Protection, Friuli Venezia Giulia, and the results were studied to better understand the diffusion mechanisms of Legionella. The data showed a strong seasonal signal, a prevalence of L. pneumophila serogroup 2–15 in most environments (63% of positive samples), a prevalence of L. pneumophila serogroup 1 in swimming pool-associated environments (82% of positive samples), a persistent presence of Legionella in hospitals and a recurrent presence of Legionella in other facilities such as hotels, possibly years after interventions, highlighting the difficulty of eradicating the bacteria. Retrospective spatio-temporal analyses on geocoded historical data were carried out with SaTScan using an ordinal model with risk as a covariate to identify potential clusters with an excess of cases in the higher-risk categories. Although no outbreaks occurred during the period of study, such analyses identified spatially restricted zones with unusual contamination, which sometimes were also areas in which several surveys triggered by notifications of clinical cases were performed. Simulations of periodic prospective analyses permitted the assessment of the efficacy of the method in early detection of such clusters. The proposed method may be a useful tool in environmental surveillance, prevention and control of Legionella.
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spelling pubmed-66156122019-07-25 Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017) Felice, Antonella Franchi, Marinella De Martin, Stefano Vitacolonna, Nicola Iacumin, Lucilla Civilini, Marcello PLoS One Research Article Legionella spp. are considered an important cause of potentially preventable morbidity and mortality, making environmental surveillance a crucial component of risk assessment plans. In this work, 20,319 water samples were collected in 3,983 environmental surveys during a 16-year period by ARPA, the Regional Agency for Environmental Protection, Friuli Venezia Giulia, and the results were studied to better understand the diffusion mechanisms of Legionella. The data showed a strong seasonal signal, a prevalence of L. pneumophila serogroup 2–15 in most environments (63% of positive samples), a prevalence of L. pneumophila serogroup 1 in swimming pool-associated environments (82% of positive samples), a persistent presence of Legionella in hospitals and a recurrent presence of Legionella in other facilities such as hotels, possibly years after interventions, highlighting the difficulty of eradicating the bacteria. Retrospective spatio-temporal analyses on geocoded historical data were carried out with SaTScan using an ordinal model with risk as a covariate to identify potential clusters with an excess of cases in the higher-risk categories. Although no outbreaks occurred during the period of study, such analyses identified spatially restricted zones with unusual contamination, which sometimes were also areas in which several surveys triggered by notifications of clinical cases were performed. Simulations of periodic prospective analyses permitted the assessment of the efficacy of the method in early detection of such clusters. The proposed method may be a useful tool in environmental surveillance, prevention and control of Legionella. Public Library of Science 2019-07-09 /pmc/articles/PMC6615612/ /pubmed/31287819 http://dx.doi.org/10.1371/journal.pone.0218687 Text en © 2019 Felice et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Felice, Antonella
Franchi, Marinella
De Martin, Stefano
Vitacolonna, Nicola
Iacumin, Lucilla
Civilini, Marcello
Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017)
title Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017)
title_full Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017)
title_fullStr Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017)
title_full_unstemmed Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017)
title_short Environmental surveillance and spatio-temporal analysis of Legionella spp. in a region of northeastern Italy (2002–2017)
title_sort environmental surveillance and spatio-temporal analysis of legionella spp. in a region of northeastern italy (2002–2017)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615612/
https://www.ncbi.nlm.nih.gov/pubmed/31287819
http://dx.doi.org/10.1371/journal.pone.0218687
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