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Modeling determinants of working exposures and exposure variability

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dc.contributor.author Trask, Catherine
dc.contributor.author Koehoorn, Mieke
dc.contributor.author Village, Judy
dc.contributor.author Teschke, Kay
dc.contributor.author Johnson, Peter W.
dc.date.accessioned 2008-05-14
dc.date.available 2008-05-14
dc.date.issued 2006-06
dc.identifier.citation Presented at the 19th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE'06). Annecy, France. June 27-30, 2006. en
dc.identifier.uri http://hdl.handle.net/2429/837
dc.description.abstract Work-related back injuries represent 25% of workplace injuries in British Columbia, and more than a quarter of all back strain claims are from employees in five high-risk industries: forestry, wood and paper products, construction, transportation, and warehousing. Epidemiological studies require data on physical exposures to risk factors from large numbers of individuals in order to observe exposure-response relationships and for the results to be representative and generalizable. Unfortunately, there is a tradeoff between precision and expense, with the most precise measurement methods being too expensive to use in large epidemiological studies. The overall goal of this study is to identify a suite of measurements that afford both precision and cost efficiency for large scale work-site studies of numerous physical exposures across diverse settings and occupations. en
dc.format.extent 128073 bytes
dc.format.mimetype application/pdf
dc.language.iso eng en
dc.subject workplace health en
dc.title Modeling determinants of working exposures and exposure variability en
dc.type text en
dc.type.text conference Paper en
dc.description.affiliation Environmental Health (SOEH), School of en
dc.description.affiliation Health and Environment Research (CHER), Centre for en
dc.description.affiliation Occupational and Environmental Hygiene, School of en
dc.description.reviewstatus en

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