工伤和职业病预测方法的具体内容

Y. Polukarov, Olena Zemlyanska, N. Kachynska, L. Mitiuk
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摘要

目的。证实需要发展新的科学和方法基础来预测职业伤害和疾病。方法。分析了现有的职业病预测方法,提出了一种新的职业病预测水平计算算法,对职业病预防信息分析系统提出了科学性和方法学的要求。发现。预测伤害的现代方法使评估预防措施的有效性成为可能。然而,由于疾病原因和表现的不同特点,没有一种普遍的方法来分析职业发病率,因此无法对特定地区在特定时期内的劳动保护进行现实的评估。因此,与预测方法获得的数据相比,职业伤害和疾病水平的降低可能表明预防措施的有效性。与此同时,个人防护装备信息分析系统的开发仍是一个亟待解决的问题。创意。建议开发一种特殊的数学工具来确定减少损失和信息分析系统,该系统将提供企业职业发病率的预测估计。为了获得可靠的预测,重要的是确定给定时间段内的平均情况,本文已经考虑了这一点。结论及现实意义。有许多方法可用于分析职业伤害和疾病。然而,其中大多数不适合职业病的评估。由于慢性职业病具有累积的性质,与工作有关的疾病的比率比伤害和事故的比率更可预测。这样就有可能确定“职业发病率”,条件是工人在接触职业危害的领域所花费的时间与有关接触每种危害的条件水平的参考数据一起记录下来。关键词:预测,伤害,职业发病率,职业安全活动,危害,信息分析系统。
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SPECIFICS OF FORECASTING METHODOLOGY INDUSTRIAL INJURIES AND PROFESSIONAL DISEASES
Purpose. Substantiate the need for development of new scientific and methodological foundations for forecasting occupational injuries and illnesses. Methodology. Analyze existing methods of occupational injuries and illnesses forecasting, propose a new algorithm for calculation of their levels, set scientific and methodological requirements to information analysis system used for the prevention of occupational illnesses. Findings. Modern methods of forecasting injuries make it possible to assess the effectiveness of preventive measures. However, there is no universal method for analyzing the occupational morbidity due to the different specifics of disease causes and manifestations which do not allow to conduct a realistic assessment of labor protection in a particular area over a given period of time. Therefore, it is the reduction in the level of occupational injuries and illnesses compared to the data obtained by the forecasting method that may be indicative of preventive measures effectiveness. At the same time, development of information analysis system of personal protective equipment continues to be a pressing issue (PPE). Originality. It has been proposed to develop a special mathematical tool for determining loss reduction and information analysis system, which will provide a forecasted estimate of occupational morbidity at an enterprise. To obtain a reliable forecast it is important to identify the average value of cases over a given period of time, which has been considered in this paper. Conclusions and Practical Significance. There are numerous methods available for analysis of occupational injuries and illnesses. Most of them, however, are unfit for the assessment of occupational diseases. Since chronic occupational illnesses have a cumulative nature, the rate of work-related diseases is more predictable than that of injuries and accidents. This makes it possible to determine the “occupational morbidity rate” provided that the time spent by workers in the area of exposure to occupational hazards is recorded together with reference data on the conditional level of exposure to each hazard. Keywords: forecasting, injuries, occupational morbidity, occupational safety activities, hazard, information analysis system.
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