Assessing long-term oil mist exposures for workers in a fastener manufacturing industry using the Bayesian decision analysis technique

Aerosol and Air Quality Research

Volumn 12, Issue 5, 2012, Pages 834-842

  Hsu, Hsin I ^a   Chen, Mei Ru ^b   Wang, Shih Min ^c   Chen, Wong Yi ^a   Wang, Ya Fen ^d   Young, Li Hao ^c   Huang, Yih Shiaw ^e   Yoon, Chung Sik ^f   Tsai, Perng Jy ^a,c  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b CHUNG HWA UNIVERSITY OF MEDICAL TECHNOLOGY   (Taiwan)

^c CHINA MEDICAL UNIVERSITY   (Taiwan)

^d CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

^e The Industrial Safety and Health Association of the Republic of China   (Taiwan)

^f Seoul National University   (South Korea)

Author keywords

Bayesian decision analysis; Exposure assessment; Oil mist; Predictive model

Indexed keywords

BAYESIAN DECISION ANALYSIS; EXPOSURE ASSESSMENT; EXPOSURE CONCENTRATION; EXPOSURE GROUPS; FASTENER MANUFACTURING INDUSTRY; INHALABLE FRACTIONS; LIKELIHOOD DISTRIBUTION; LONG TERM EXPOSURE; OIL MISTS; POSTERIOR DISTRIBUTIONS; PREDICTIVE MODELS; PRIOR DISTRIBUTION; PRODUCTION RATES; SAMPLE SIZES;

DECISION MAKING;

LOCKS (FASTENERS);

BAYESIAN ANALYSIS; CONCENTRATION (COMPOSITION); ENVIRONMENTAL ASSESSMENT; MANUFACTURING; OCCUPATIONAL EXPOSURE; POLLUTION EXPOSURE; RESPIRATORY DISEASE;

EID: 84866468242     PISSN: 16808584     EISSN: 20711409     Source Type: Journal    
DOI: 10.4209/aaqr.2012.04.0107     Document Type: Article

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