Developing a semi-quantitative occupational risk prediction model for chemical exposures and its application to a national chemical exposure databank.

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.

authors

Wang SM,Wu TN,Juang YJ,Dai YT,Tsai PJ,Chen CY

doi

10.3390/ijerph10083157

subject

Has Abstract

pub_date

2013-07-25 00:00:00

pages

3157-71

issue

8

eissn

1661-7827

issn

1660-4601

pii

ijerph10083157

journal_volume

10

pub_type

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