Details:

Alternative Title:
J Occup Environ Hyg
Publisher's site:
http://dx.doi.org/10.1080/15459624.2012.748627
Personal Author:
Lee, Eun Gyung ; Kim, Seung Won ; Feigley, Charles E. ; Harper, Martin
Lee, Eun Gyung ; Kim, Seung Won ; Feigley, Charles E. ; Harper, Martin Less -
Description:
This study introduces two semi-quantitative methods, Structured Subjective Assessment (SSA) and Control of Substances Hazardous to Health (COSHH) Essentials, in conjunction with two-dimensional Monte Carlo simulations for determining prior probabilities. Prior distribution using expert judgment was included for comparison. Practical applications of the proposed methods were demonstrated using personal exposure measurements of isoamyl acetate in an electronics manufacturing facility and of isopropanol in a printing shop. Applicability of these methods in real workplaces was discussed based on the advantages and disadvantages of each method. Although these methods could not be completely independent of expert judgments, this study demonstrated a methodological improvement in the estimation of the prior distribution for the Bayesian decision analysis tool. The proposed methods provide a logical basis for the decision process by considering determinants of worker exposure.
Subjects:
[+]
2-Propanol AIHA Exposure Rating Scheme Article Bayesian Decision Analysis Bayes Theorem COSHH Essentials Scheme Decision Making Decision Support Techniques Electronics Hazardous Substances Humans Models, Theoretical Monte Carlo Method Occupational Exposure Occupational Health Pentanols Printing Prior Decision Distribution Risk Assessment Structured Subjective Assessment (SSA) Two-dimensional (2-D) Monte Carlo Simulation Workplace
Source:
J Occup Environ Hyg. 10(2):97-108.
Pubmed ID:
23252451
Pubmed Central ID:
PMC4665102
Document Type:
Journal Article
Funding:
CC999999/Intramural CDC HHS/United States
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:1e5032f0bb59236530ee92274c1491c641e9574de12e01b9eb145d1d2419c881
Download URL:
https://stacks.cdc.gov/view/cdc/36731/cdc_36731_DS1.pdf
File Type:

Supporting Files

• 	NIHMS738159-supplement-Supplemental_Material.pdf	pdf
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