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, Chiu Ying Chen

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)3157-3171
Number of pages15
JournalInternational journal of environmental research and public health
Volume10
Issue number8
DOIs
Publication statusPublished - 2013 Jul 26

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

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