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

机译:建立化学接触的半定量职业风险预测模型及其在国家化学接触数据库中的应用

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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.
机译:在这项研究中,基于暴露危险指数的计算,提出了一种半定量的职业化学暴露风险预测模型,并将其应用于国家化学暴露数据库。该模型包括用于描述毒性的一个因素(即毒性指数)和用于反映暴露于化学药品的工人的潜在暴露性(即暴露指数和保护不足指数)的两个因素。使用专家系统来纠正上述建议的模型。通过将校正后的模型应用于从国家职业化学危害调查计划获得的数据,确定了各个制造业的化学接触风险,并提出了减少职业化学接触的国家控制策略。本研究的结果将为政府机构有效分配有限的资源以减少工人的化学暴露提供有用的信息。

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