scholarly journals SPECIFICS OF FORECASTING METHODOLOGY INDUSTRIAL INJURIES AND PROFESSIONAL DISEASES

2021 ◽  
pp. 36-42
Author(s):  
Yury POLUKAROV ◽  
Olena ZEMLYANSKA ◽  
Nataliia KACHYNSKA ◽  
Liudmyla MITIUK

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.

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Ivana Ilić Krstić ◽  
Danijela Avramović ◽  
Snežana Živković

BACKGROUND: Mining, especially underground coal mining, has always been a hazardous occupation. Injuries, including those that are fatal, are a major occupational risk that all miners have to face. OBJECTIVE: Despite the fact that all workers are aware of the risks, efforts must be made to increase their safety through the implementation of preventive measures. METHODS: This retrospective study includes injury data from all nine Serbian coal mines over a 16-year period, from 2000 to 2016. All injury data were collected from employee safety and health records. RESULTS: In the analyzed period, a total of 9,273 occupational injuries were recorded at Resavica. The highest number of occupational injuries (over 600) were recorded in 2008 (669), 2004 (651), and 2005 (603). The data shows that almost one fifth of the total number of occupational injuries, or 20.74%, occurred during the said three years. On average, 493.06 minor, 51.12 severe, and 1.29 fatal injuries occurred each year. Every day there were 1.29 minor occupational injuries and every seven days there was one severe injury. CONCLUSIONS: Despite indications that there is a connection between some of the variables and the number of injuries, the general conclusion is that injuries are accidental and unpredictable. The high percentages of injuries are due to the organization of work and the age or qualification structure of the staff and, of course, are the consequence of likelihood –the greater the number of workers, the greater the likelihood of injury. However, the present study showed that some measures can be taken to increase occupational safety and reduce the number of injuries.


Author(s):  
Dawn N. Castillo ◽  
Timothy J. Pizatella ◽  
Nancy A. Stout

This chapter describes occupational injuries and their prevention. It describes in detail the causes of injuries and epidemiology of injuries. Occupational injuries are caused by acute exposure in the workplace to safety hazards, such as mechanical energy, electricity, chemicals, and ionizing radiation, or from the sudden lack of essential agents, such as oxygen or heat. This chapter describes the nature and the magnitude of occupational injuries in the United States. It provides data on risk of injuries in different occupations and industries. Finally, it discusses prevention of injuries, using a hierarchical approach to occupational injury control.


2021 ◽  
Author(s):  
Valeriy Tatarenko ◽  
Valeriy Romeyko ◽  
Ol'ga Lyapina

The textbook contains systematized information on the specific features of the life safety of the working population engaged in labor activity in an artificial habitat-the technosphere. The article presents the current provisions of the integrated methodology of technosphere safety, the legal foundations of modern legislation and regulatory regulation in this area, information about the leading dangerous and harmful production factors, the main directions of preventing the risks of occupational injuries and occupational morbidity of employees with the implementation of economic mechanisms for managing the safety of working conditions in organizations. Meets the requirements of the federal state educational standards of higher education of the latest generation. For undergraduate students studying in the direction of training "Technosphere safety", as well as specialists in the field of labor protection and social insurance.


Author(s):  
Aneta George ◽  
Liam Peyton

The Graduate Attribute Information Analysis system (GAIA) was developed at the University of Ottawa to support data collection and performance management of graduate attributes for engineering programs at the program level and at the course level [10]. This paper reports on our research to develop support for cohort analysis and reporting by providing a single consistent view of graduate attributes (GA) and performance indicators for groups of students who started and finished an engineering program at the same time. This is supported by two special purpose reports: Graduate Attribute Report per Cohort (GAR/C) and Course Progression Report per Cohort (CPR/C). The former shows average GA data per attribute, the latter tracks student achievement as students progress in their program. It also adds to the historic data trend analysis for a program. Furthermore, a COOP Progress Report per cohort (COOPR/C) is generated.


2020 ◽  
Vol 110 (6) ◽  
pp. 1866-1904 ◽  
Author(s):  
Matthew S. Johnson

Publicizing firms’ socially undesirable actions may enhance firms’ incentives to avoid such actions. In 2009, the Occupational Safety and Health Administration (OSHA) began issuing press releases about facilities that violated safety and health regulations. Using quasi-random variation arising from a cutoff rule OSHA followed, I find that publicizing a facility’s violations led other facilities to substantially improve their compliance and experience fewer occupational injuries. OSHA would need to conduct 210 additional inspections to achieve the same improvement in compliance as achieved with a single press release. Evidence suggests that employers improve compliance to avoid costly responses from workers. (JEL J28, J81, K32, L51, M54)


2019 ◽  
Vol 59 (2) ◽  
pp. 182-191 ◽  
Author(s):  
Pavel V. Yemelin ◽  
Sergey S. Kudryavtsev ◽  
Natalya K. Yemelina

The purpose of the article is to present an analytical system that allows users to proces data necessary for an industrial risk analysis and management, to monitor the level of industrial safety in a given site, and to fulfil essential tasks within the field of occupational safety. This system’s implementation will make the industrial safety management at industrial sites more effective. Multifactorial, probabilistic, determined models of accidents’ hazard and severity indexes are integrated into the computing core of the Information and Analytical System. Then, statistical methods determine the risk assessment of occupational injuries and diseases. The <em>Information and Analytical System for Hazard Level Assessment and Forecasting Risk of Emergencies in the Republic of Kazakhstan</em> allows users to work efficiently with large volumes of information and form a united analytical electronic report about the state of industrial safety. The main objective of the monitoring system is to conduct a comprehensive analysis and assessment of the state of accidents, traumas and occupational sickness rates at industrial sites, the results being classified by the degree of hazard and insalubrity of manufacture. The introduction of the computer monitoring system in the specialized services of the Emergency Management Committee and the Ministry of Investment and Development of the Republic of Kazakhstan, and at industrial enterprises throughout the country, will allow users to analyse the state of the industrial and occupational safety constantly and objectively; as a consequence, the implementation will go a long way towards comprehensively approaching the task of increasing safety levels at industrial sites.


2019 ◽  
Vol 48 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Anna Budka

Abstract The presented research focused on macrophytes, which constitute a primary element in the assessment of the ecological status of surface waters following the guidelines of the Water Framework Directive. In Poland, such assessments are conducted using the Macrophyte Index for Rivers (MIR). The objective of this study was to characterize macrophyte species in rivers in terms of their information value in the assessment of the ecological status of rivers. The macrophyte survey was carried out at 100 river sites in the lowland area of Poland. Botanical data were used to verify the completeness of samples (the number of taxa). In the presented research, the information provided by each species was controlled. Entropy was used as the main part of information analysis. This analysis showed that the adoption of a standard approach in the studies of river macrophytes is likely to provide sample underestimation (with missing species). This may potentially lead to incorrect determination of MIR and thus result in a wrong environmental decision. On this basis, a sample completeness criterion was developed. Using this criterion, the average value of information for macrophyte species in medium-sized lowland rivers is suffcient to be considered representative.


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