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The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011

BACKGROUND: An increasing severity of extreme storms and more intense seasonal flooding are projected consequences of climate change in the United States. In addition to the immediate destruction caused by storm surges and catastrophic flooding, these events may also increase the risk of infectious...

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Autores principales: Lynch, Victoria D., Shaman, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202215/
https://www.ncbi.nlm.nih.gov/pubmed/35705915
http://dx.doi.org/10.1186/s12879-022-07489-x
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author Lynch, Victoria D.
Shaman, Jeffrey
author_facet Lynch, Victoria D.
Shaman, Jeffrey
author_sort Lynch, Victoria D.
collection PubMed
description BACKGROUND: An increasing severity of extreme storms and more intense seasonal flooding are projected consequences of climate change in the United States. In addition to the immediate destruction caused by storm surges and catastrophic flooding, these events may also increase the risk of infectious disease transmission. We aimed to determine the association between extreme and seasonal floods and hospitalizations for Legionnaires’ disease in 25 US states during 2000–2011. METHODS: We used a nonparametric bootstrap approach to examine the association between Legionnaires’ disease hospitalizations and extreme floods, defined by multiple hydrometeorological variables. We also assessed the effect of extreme flooding associated with named cyclonic storms on hospitalizations in a generalized linear mixed model (GLMM) framework. To quantify the effect of seasonal floods, we used multi-model inference to identify the most highly weighted flood-indicator variables and evaluated their effects on hospitalizations in a GLMM. RESULTS: We found a 32% increase in monthly hospitalizations at sites that experienced cyclonic storms, compared to sites in months without storms. Hospitalizations in months with extreme precipitation were in the 89(th) percentile of the bootstrapped distribution of monthly hospitalizations. Soil moisture and precipitation were the most highly weighted variables identified by multi-model inference and were included in the final model. A 1-standard deviation (SD) increase in average monthly soil moisture was associated with a 49% increase in hospitalizations; in the same model, a 1-SD increase in precipitation was associated with a 26% increase in hospitalizations. CONCLUSIONS: This analysis is the first to examine the effects of flooding on hospitalizations for Legionnaires’ disease in the United States using a range of flood-indicator variables and flood definitions. We found evidence that extreme and seasonal flooding is associated with increased hospitalizations; further research is required to mechanistically establish whether floodwaters contaminated with Legionella bacteria drive transmission. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07489-x.
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spelling pubmed-92022152022-06-17 The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011 Lynch, Victoria D. Shaman, Jeffrey BMC Infect Dis Research Article BACKGROUND: An increasing severity of extreme storms and more intense seasonal flooding are projected consequences of climate change in the United States. In addition to the immediate destruction caused by storm surges and catastrophic flooding, these events may also increase the risk of infectious disease transmission. We aimed to determine the association between extreme and seasonal floods and hospitalizations for Legionnaires’ disease in 25 US states during 2000–2011. METHODS: We used a nonparametric bootstrap approach to examine the association between Legionnaires’ disease hospitalizations and extreme floods, defined by multiple hydrometeorological variables. We also assessed the effect of extreme flooding associated with named cyclonic storms on hospitalizations in a generalized linear mixed model (GLMM) framework. To quantify the effect of seasonal floods, we used multi-model inference to identify the most highly weighted flood-indicator variables and evaluated their effects on hospitalizations in a GLMM. RESULTS: We found a 32% increase in monthly hospitalizations at sites that experienced cyclonic storms, compared to sites in months without storms. Hospitalizations in months with extreme precipitation were in the 89(th) percentile of the bootstrapped distribution of monthly hospitalizations. Soil moisture and precipitation were the most highly weighted variables identified by multi-model inference and were included in the final model. A 1-standard deviation (SD) increase in average monthly soil moisture was associated with a 49% increase in hospitalizations; in the same model, a 1-SD increase in precipitation was associated with a 26% increase in hospitalizations. CONCLUSIONS: This analysis is the first to examine the effects of flooding on hospitalizations for Legionnaires’ disease in the United States using a range of flood-indicator variables and flood definitions. We found evidence that extreme and seasonal flooding is associated with increased hospitalizations; further research is required to mechanistically establish whether floodwaters contaminated with Legionella bacteria drive transmission. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07489-x. BioMed Central 2022-06-15 /pmc/articles/PMC9202215/ /pubmed/35705915 http://dx.doi.org/10.1186/s12879-022-07489-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Lynch, Victoria D.
Shaman, Jeffrey
The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011
title The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011
title_full The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011
title_fullStr The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011
title_full_unstemmed The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011
title_short The effect of seasonal and extreme floods on hospitalizations for Legionnaires’ disease in the United States, 2000–2011
title_sort effect of seasonal and extreme floods on hospitalizations for legionnaires’ disease in the united states, 2000–2011
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202215/
https://www.ncbi.nlm.nih.gov/pubmed/35705915
http://dx.doi.org/10.1186/s12879-022-07489-x
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