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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

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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 semi-quantitative risk predicting model; chemical exposure; exposure databank; control strategy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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.


Int. J. Environ. Res. Public Health EISSN 1660-4601 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert