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Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts

BACKGROUND: The occurrence of cyanobacterial blooms in freshwater presents a threat to human health. However, epidemiological studies on the association between cyanobacterial blooms in drinking water sources and human health outcomes are scarce. The objective of this study was to evaluate if cyanob...

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Autores principales: Wu, Jianyong, Hilborn, Elizabeth D., Schaeffer, Blake A., Urquhart, Erin, Coffer, Megan M., Lin, Cynthia J., Egorov, Andrey I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285816/
https://www.ncbi.nlm.nih.gov/pubmed/34271918
http://dx.doi.org/10.1186/s12940-021-00755-6
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author Wu, Jianyong
Hilborn, Elizabeth D.
Schaeffer, Blake A.
Urquhart, Erin
Coffer, Megan M.
Lin, Cynthia J.
Egorov, Andrey I.
author_facet Wu, Jianyong
Hilborn, Elizabeth D.
Schaeffer, Blake A.
Urquhart, Erin
Coffer, Megan M.
Lin, Cynthia J.
Egorov, Andrey I.
author_sort Wu, Jianyong
collection PubMed
description BACKGROUND: The occurrence of cyanobacterial blooms in freshwater presents a threat to human health. However, epidemiological studies on the association between cyanobacterial blooms in drinking water sources and human health outcomes are scarce. The objective of this study was to evaluate if cyanobacterial blooms were associated with increased emergency room visits for gastrointestinal (GI), respiratory and dermal illnesses. METHODS: Satellite-derived cyanobacteria cell concentrations were estimated in the source of drinking water for the Greater Boston area, during 2008–2011. Daily counts of hospital emergency room visits for GI, respiratory and dermal illnesses among drinking water recipients were obtained from an administrative record database. A two-stage model was used to analyze time-series data for an association between cyanobacterial blooms and the occurrence of illnesses. At the first stage, predictive autoregressive generalized additive models for Poisson-distributed outcomes were fitted to daily illness count data and daily predictive variables. At the second stage, residuals from the first stage models were regressed against lagged categorized cyanobacteria concentration estimates. RESULTS: The highest cyanobacteria concentration (above the 75th percentile) was associated with an additional 4.3 cases of respiratory illness (95% confidence interval: 0.7, 8.0, p = 0.02, n = 268) compared to cyanobacteria concentrations below the 50th percentile in a two-day lag. There were no significant associations between satellite derived cyanobacterial concentrations and lagged data on GI or dermal illnesses. CONCLUSION: The study demonstrated a significant positive association between satellite-derived cyanobacteria concentrations in source water and respiratory illness occurring 2 days later. Future studies will require direct measures of cyanotoxins and health effects associated with exposure to cyanobacteria-impacted drinking water sources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00755-6.
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spelling pubmed-82858162021-07-19 Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts Wu, Jianyong Hilborn, Elizabeth D. Schaeffer, Blake A. Urquhart, Erin Coffer, Megan M. Lin, Cynthia J. Egorov, Andrey I. Environ Health Research BACKGROUND: The occurrence of cyanobacterial blooms in freshwater presents a threat to human health. However, epidemiological studies on the association between cyanobacterial blooms in drinking water sources and human health outcomes are scarce. The objective of this study was to evaluate if cyanobacterial blooms were associated with increased emergency room visits for gastrointestinal (GI), respiratory and dermal illnesses. METHODS: Satellite-derived cyanobacteria cell concentrations were estimated in the source of drinking water for the Greater Boston area, during 2008–2011. Daily counts of hospital emergency room visits for GI, respiratory and dermal illnesses among drinking water recipients were obtained from an administrative record database. A two-stage model was used to analyze time-series data for an association between cyanobacterial blooms and the occurrence of illnesses. At the first stage, predictive autoregressive generalized additive models for Poisson-distributed outcomes were fitted to daily illness count data and daily predictive variables. At the second stage, residuals from the first stage models were regressed against lagged categorized cyanobacteria concentration estimates. RESULTS: The highest cyanobacteria concentration (above the 75th percentile) was associated with an additional 4.3 cases of respiratory illness (95% confidence interval: 0.7, 8.0, p = 0.02, n = 268) compared to cyanobacteria concentrations below the 50th percentile in a two-day lag. There were no significant associations between satellite derived cyanobacterial concentrations and lagged data on GI or dermal illnesses. CONCLUSION: The study demonstrated a significant positive association between satellite-derived cyanobacteria concentrations in source water and respiratory illness occurring 2 days later. Future studies will require direct measures of cyanotoxins and health effects associated with exposure to cyanobacteria-impacted drinking water sources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00755-6. BioMed Central 2021-07-16 /pmc/articles/PMC8285816/ /pubmed/34271918 http://dx.doi.org/10.1186/s12940-021-00755-6 Text en © The Author(s) 2021 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
Wu, Jianyong
Hilborn, Elizabeth D.
Schaeffer, Blake A.
Urquhart, Erin
Coffer, Megan M.
Lin, Cynthia J.
Egorov, Andrey I.
Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts
title Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts
title_full Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts
title_fullStr Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts
title_full_unstemmed Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts
title_short Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts
title_sort acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in massachusetts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285816/
https://www.ncbi.nlm.nih.gov/pubmed/34271918
http://dx.doi.org/10.1186/s12940-021-00755-6
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