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Applying a cumulative risk framework to drinking water assessment: a commentary
The health risks of drinking water contaminants and the economic benefits of drinking water standards are typically assessed one chemical at a time, an approach that misses the health impacts of co-occurring contaminants in drinking water. In contrast, a cumulative risk framework has become common i...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489338/ https://www.ncbi.nlm.nih.gov/pubmed/31036021 http://dx.doi.org/10.1186/s12940-019-0475-5 |
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author | Stoiber, Tasha Temkin, Alexis Andrews, David Campbell, Chris Naidenko, Olga V. |
author_facet | Stoiber, Tasha Temkin, Alexis Andrews, David Campbell, Chris Naidenko, Olga V. |
author_sort | Stoiber, Tasha |
collection | PubMed |
description | The health risks of drinking water contaminants and the economic benefits of drinking water standards are typically assessed one chemical at a time, an approach that misses the health impacts of co-occurring contaminants in drinking water. In contrast, a cumulative risk framework has become common in air quality evaluations such as the U.S. Environmental Protection Agency’s National Air Toxics Assessment. We posit that the drinking water field would benefit from making the transition to a unified assessment framework for multiple contaminants that can overcome the long-standing challenge of treating cancer and non-cancer contaminants separately. Here we present a cumulative risk methodology that combines a risk-based cancer metric with a weighted health indicator index for non-cancer contaminants and incorporates disability weights from the Global Burden of Disease study. Our methodology generates a numeric toxicity score reflecting the potential health impacts for the sum of contaminants present in each sample of drinking water. Further research is needed to refine the risk and toxicity parameters for specific contaminants and to address the mode of interaction between co-occurring chemicals. As this cumulative risk model goes through future refinements, we anticipate that it would provide information that can help communities and policy makers evaluate different options for drinking water treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-019-0475-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6489338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64893382019-06-04 Applying a cumulative risk framework to drinking water assessment: a commentary Stoiber, Tasha Temkin, Alexis Andrews, David Campbell, Chris Naidenko, Olga V. Environ Health Commentary The health risks of drinking water contaminants and the economic benefits of drinking water standards are typically assessed one chemical at a time, an approach that misses the health impacts of co-occurring contaminants in drinking water. In contrast, a cumulative risk framework has become common in air quality evaluations such as the U.S. Environmental Protection Agency’s National Air Toxics Assessment. We posit that the drinking water field would benefit from making the transition to a unified assessment framework for multiple contaminants that can overcome the long-standing challenge of treating cancer and non-cancer contaminants separately. Here we present a cumulative risk methodology that combines a risk-based cancer metric with a weighted health indicator index for non-cancer contaminants and incorporates disability weights from the Global Burden of Disease study. Our methodology generates a numeric toxicity score reflecting the potential health impacts for the sum of contaminants present in each sample of drinking water. Further research is needed to refine the risk and toxicity parameters for specific contaminants and to address the mode of interaction between co-occurring chemicals. As this cumulative risk model goes through future refinements, we anticipate that it would provide information that can help communities and policy makers evaluate different options for drinking water treatment. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-019-0475-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-30 /pmc/articles/PMC6489338/ /pubmed/31036021 http://dx.doi.org/10.1186/s12940-019-0475-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Commentary Stoiber, Tasha Temkin, Alexis Andrews, David Campbell, Chris Naidenko, Olga V. Applying a cumulative risk framework to drinking water assessment: a commentary |
title | Applying a cumulative risk framework to drinking water assessment: a commentary |
title_full | Applying a cumulative risk framework to drinking water assessment: a commentary |
title_fullStr | Applying a cumulative risk framework to drinking water assessment: a commentary |
title_full_unstemmed | Applying a cumulative risk framework to drinking water assessment: a commentary |
title_short | Applying a cumulative risk framework to drinking water assessment: a commentary |
title_sort | applying a cumulative risk framework to drinking water assessment: a commentary |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489338/ https://www.ncbi.nlm.nih.gov/pubmed/31036021 http://dx.doi.org/10.1186/s12940-019-0475-5 |
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