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Modeling mixed exposures: an application to welding fumes in the construction trades.

Authors
Flynn-MR; Susi-P
Source
Stoch Environ Res Risk Assess 2010 Mar; 24(3):377-388
NIOSHTIC No.
20040842
Abstract
Workers are often exposed to mixtures of airborne contaminants which may complicate health studies, risk assessments, and epidemiological investigations. In situations where these mixed exposures are correlated, multivariate probability distributions may serve as models suitable for description and subsequent inference. This paper presents a methodology for modeling correlated mixed exposures using the Johnson system of multivariate probability distributions. This system involves transformations to normality and includes the multivariate normal and lognormal distributions, among others. The technique is illustrated with manganese exposures for pipefitters and boilermakers conditioned upon a measurement of total particulate exposure. Applications involving compliance and risk assessment for mixed exposure problems are presented using the fitted distributions.
Keywords
Construction-industry; Construction-workers; Construction-equipment; Construction; Health-hazards; Welders; Welding; Welding-equipment; Fumes; Exposure-assessment; Air-contamination; Airborne-particles; Metal-compounds; Metal-fumes; Manganese-compounds; Mathematical-models; Analytical-models; Statistical-analysis; Risk-analysis; Author Keywords: Mixed exposures; Exposure models; Manganese; Welding; Construction
Contact
M. R. Flynn, Department of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, NC 27599-7431, USA
CAS No.
7439-96-5
Publication Date
20100301
Document Type
Journal Article
Email Address
mike_flynn@unc.edu
Funding Type
Cooperative Agreement; Construction
Fiscal Year
2010
NTIS Accession No.
NTIS Price
Identifying No.
Cooperative-Agreement-Number-U54-OH-008307
Issue of Publication
3
ISSN
1436-3240
Priority Area
Construction
Source Name
Stochastic Environmental Research and Risk Assessment
State
NC; MD
Performing Organization
Center to Protect Workers' Rights
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