Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank

Shih-Min Wang, Trong-Neng Wu, Yow-Jer Juang, Yu-Tung Dai, Perng-Jy Tsai and Chiu-Ying Chen
Additional contact information
Shih-Min Wang: Department of Occupational Safety and Health, College of Public Health, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan
Trong-Neng Wu: Graduate Institute of Biostatistics, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan
Yow-Jer Juang: Department of Occupational Safety and Health, Chung Hwa University of Medical Technology, 89, Wenhwa 1st St., Rende District, Tainan 71701, Taiwan
Yu-Tung Dai: Department of Occupational Safety and Health, Chang Jung Christian University, 1 Changda Rd., Gueiren District, Tainan 71101, Taiwan
Perng-Jy Tsai: Department of Occupational Safety and Health, College of Public Health, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan
Chiu-Ying Chen: Department of Public Health, College of Public Health, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan

IJERPH, 2013, vol. 10, issue 8, 1-15

Abstract: In this study, a semi-quantitative occupational chemical exposure risk prediction model, based on the calculation of exposure hazard indexes, was proposed, corrected, and applied to a national chemical exposure databank. The model comprises one factor used to describe toxicity ( i.e. , the toxicity index), and two factors used to reflect the exposure potential ( i.e. , the exposure index and protection deficiency index) of workers exposed to chemicals. An expert system was used to correct the above proposed model. By applying the corrected model to data obtained from a national occupational chemical hazard survey program, chemical exposure risks of various manufacturing industries were determined and a national control strategy for the abatement of occupational chemical exposures was proposed. The results of the present study would provide useful information for governmental agencies to allocate their limited resources effectively for reducing chemical exposures of workers.

Keywords: semi-quantitative risk predicting model; chemical exposure; exposure databank; control strategy (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/10/8/3157/pdf (application/pdf)
https://www.mdpi.com/1660-4601/10/8/3157/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:10:y:2013:i:8:p:3157-3171:d:27502

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().