Integrating different tools and technologies to advance drinking water quality exposure assessments.

Emerging Contaminants Environmental Monitoring Exposure Modeling

Journal

Journal of exposure science & environmental epidemiology
ISSN: 1559-064X
Titre abrégé: J Expo Sci Environ Epidemiol
Pays: United States
ID NLM: 101262796

Informations de publication

Date de publication:
08 Aug 2023
Historique:
received: 01 03 2023
accepted: 20 07 2023
revised: 20 07 2023
pubmed: 9 8 2023
medline: 9 8 2023
entrez: 8 8 2023
Statut: aheadofprint

Résumé

Contaminants in drinking water are a major contributor to the human exposome and adverse health effects. Assessing drinking water exposure accurately in health studies is challenging, as several of the following study design domains should be addressed as adequately as possible. In this paper, we identify the domains Time, Space, Data Quality, Data Accessibility, economic considerations of Study Size, and Complex Mixtures. We present case studies for three approaches or technologies that address these domains differently in the context of exposure assessment of drinking water quality: regulated contaminants in monitoring databases, high-resolution mass spectrometry (HRMS)-based wide-scope chemical analysis, and effect-based bioassay methods. While none of these approaches address all the domains sufficiently, together they have the potential to carry out exposure assessments that would complement each other and could advance the state-of-science towards more accurate risk analysis. The aim of our study is to give researchers investigating health effects of drinking water quality the impetus to consider how their exposure assessments relate to the above-mentioned domains and whether it would be worthwhile to integrate the advanced technologies presented into planned risk analyses. We highly suggest this three-pronged approach should be further evaluated in health risk analyses, especially epidemiological studies concerning contaminants in drinking water. The state of the knowledge regarding potential benefits of these technologies, especially when applied in tandem, provides more than sufficient evidence to support future research to determine the implications of combining the approaches described in our case studies in terms of protection of public health.

Identifiants

pubmed: 37553410
doi: 10.1038/s41370-023-00588-0
pii: 10.1038/s41370-023-00588-0
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Nature America, Inc.

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Auteurs

Jörg Schullehner (J)

Environment, Occupation and Health, Department of Public Health, Aarhus University, Aarhus, Denmark. jorg.schullehner@ph.au.dk.
Danish Big Data Centre for Environment and Health (BERTHA), Aarhus University, Aarhus, Denmark. jorg.schullehner@ph.au.dk.

Dora Cserbik (D)

Barcelona Institute for Global Health, Barcelona, Spain.

Pablo Gago-Ferrero (P)

Institute of Environmental Assessment and Water Research-Spanish Council of Scientific Research (IDAEA-CSIC), Barcelona, Spain.

Johan Lundqvist (J)

Department of Biomedicine and Veterinary Public Health, Swedish University of Agricultural Sciences, Uppsala, Sweden.

John R Nuckols (JR)

Emeritus Professor of Environmental Health Sciences, Colorado State University, Fort Collins, CO, USA.
Principal, JRN Environmental Health Sciences, Ltd, North Bethesda, MD, USA.

Classifications MeSH