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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Ford, L., Waldner, C., Sanchez, J., & Bharadwaj, L.
Title
Risk perception and human health risk in rural communities consuming unregulated well water in Saskatchewan, Canada
Year
2019
Publication Outlet
Risk Analysis, 39(11), 2559-2575
DOI
https://doi.org/10.1111/risa.13335
Citation
Ford, L., Waldner, C., Sanchez, J., & Bharadwaj, L. (2019). Risk perception and human health risk in rural communities consuming unregulated well water in Saskatchewan, Canada. Risk Analysis, 39(11), 2559-2575.
Abstract
Rural communities dependent on unregulated drinking water are potentially at increased health risk from exposure to contaminants. Perception of drinking water safety influences water consumption, exposure, and health risk. A community-based participatory approach and probabilistic Bayesian methods were applied to integrate risk perception in a holistic human health risk assessment. Tap water arsenic concentrations and risk perception data were collected from two Saskatchewan communities. Drinking water health standards were exceeded in 67% (51/76) of households in Rural Municipality #184 (RM184) and 56% (25/45) in Beardy's and Okemasis First Nation (BOFN). There was no association between the presence of a health exceedance and risk perception. Households in RM184 or with an annual income >$50,000 were most likely to have in-house water treatment. The probability of consuming tap water perceived as safe (92%) or not safe (0%) suggested that households in RM184 were unlikely to drink water perceived as not safe. The probability of drinking tap water perceived as safe (77%) or as not safe (11%) suggested households in BOFN contradicted their perception and consumed water perceived as unsafe. Integration of risk perception lowered the adult incremental lifetime cancer risk by 3% to 1.3 × 10−5 (95% CI 8.4 × 10−8 to 9.0 × 10−5) for RM184 and by 8.9 × 10−6 (95% CI 2.2 × 10−7 to 5.9 × 10−5) for BOFN. Probability of exposure to arsenic concentrations >1:100,000, negligible cancer risk, was 23% for RM184 and 22% for BOFN.
Program Affiliations
GWF: Global Water Futures
Project Affiliations
GWF-CMFWF: Collaborative Modelling Framework for Water Futures
Publication Stage
Published
Additional Information
Collab Modelling Framework
Download Links

https://doi.org/10.1111/risa.13335

https://pubmed.ncbi.nlm.nih.gov/31158313
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