Int. J. Environ. Res. Public Health 2013, 10(8), 3157-3171; doi:10.3390/ijerph10083157
Article

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

1 Department of Occupational Safety and Health, College of Public Health, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan 2 Graduate Institute of Biostatistics, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan 3 Department of Occupational Safety and Health, Chung Hwa University of Medical Technology, 89, Wenhwa 1st St., Rende District, Tainan 71701, Taiwan 4 Department of Occupational Safety and Health, Chang Jung Christian University, 1 Changda Rd., Gueiren District, Tainan 71101, Taiwan 5 Department of Environmental and Occupational Health, Medical College, National Cheng Kung University, 138 Sheng-Li Road, Tainan 70403, Taiwan 6 Department of Public Health, College of Public Health, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan
* Authors to whom correspondence should be addressed.
Received: 13 June 2013; in revised form: 22 July 2013 / Accepted: 22 July 2013 / Published: 25 July 2013
(This article belongs to the Special Issue Occupational Health)
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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

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MDPI and ACS Style

Wang, S.-M.; Wu, T.-N.; Juang, Y.-J.; Dai, Y.-T.; Tsai, P.-J.; Chen, C.-Y. Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank. Int. J. Environ. Res. Public Health 2013, 10, 3157-3171.

AMA Style

Wang S-M, Wu T-N, Juang Y-J, Dai Y-T, Tsai P-J, Chen C-Y. Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank. International Journal of Environmental Research and Public Health. 2013; 10(8):3157-3171.

Chicago/Turabian Style

Wang, Shih-Min; Wu, Trong-Neng; Juang, Yow-Jer; Dai, Yu-Tung; Tsai, Perng-Jy; Chen, Chiu-Ying. 2013. "Developing a Semi-Quantitative Occupational Risk Prediction Model for Chemical Exposures and Its Application to a National Chemical Exposure Databank." Int. J. Environ. Res. Public Health 10, no. 8: 3157-3171.

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