Analysis Of Occupational Accidents Research Articles

A Comparative Analysis of Occupational Accidents among Health Workers Before and During the COVID-19 Pandemic

A Comparative Analysis of Occupational Accidents among Health Workers Before and During the COVID-19 Pandemic

Explainable Artificial Intelligence to Support Work Safety in Forestry: Insights from Two Large Datasets, Open Challenges, and Future Work

Forestry work, which is considered one of the most demanding and dangerous professions in the world, is claiming more and more lives. In a country as small as Austria, more than 50 forestry workers are killed in accidents every year, and the number is increasing rapidly. This serves as a catalyst for us to implement more stringent measures for workplace safety in order to achieve the sustainability objective of SDG 3, which focuses on health and well-being. This study contributes to the analysis of occupational accidents and focuses on two large real-world datasets from both the Austrian Federal Forests (ÖBf) and the Austrian Workers’ Compensation Board (AUVA). Decision trees, random forests, and fully connected neural networks are used for the analysis. By exploring different interpretation methods, this study sheds light on the decision-making processes ranging from basic association to causal inference and emphasizes the importance of causal inference in providing actionable insights for accident prevention. This paper contributes to the topic of explainable AI, specifically in its application to occupational safety in forestry. As a result, it introduces novel aspects to decision support systems in this application domain.

Analysis of occupational accidents for safety design.

Safety design covers proactive actions as it analyzes accident risks early in the enterprise life cycle, and considers the designer acting on accident prevention as a member of the construction team. This paper proposes an accident investigation to establish links between accident causes and design to support Prevention through Design (PtD) tools. This article analyzed more than a thousand severe and fatal accident cases in the construction sector. A systematic analysis method was structured based on descriptions of accident causes and measures that could be taken to avoid accidents. Analyzing the severe and fatal accidents, the safety measures implemented in the project design could avoid at least 23.6% of the events. As a result, the architectural and structural designs were more effective in accident prevention. The reference percentages and the design types that are more effective in preventing accidents are analyzed through a representative sample of the analysis of the accident. This research contributes to applying safety guidelines in design projects, directly assisting in project and construction management.

Correlational analysis of occupational accidents and the safety policies in the Chinese coal mining industry from 2008 to 2021

This study investigates the correlation between previous coal mine safety policies and accidents in China. Data on coal mine accidents and government regulatory information from 2008 to 2021 are collected. The characteristics of coal mine accidents are analyzed, and safety policy indexes are identified. An ordinary least squares (OLS) regression model is established to quantitatively analyze the correlation between accidents and safety policy. The study finds that safety policies have some impact on accident occurrence in coal mines. Although there has been a decrease in accidents and deaths over time, higher mortality rates are observed during periods of increased production intensity and on weekends. Gas accidents are the most common, followed by roof and flood accidents. The study concludes that national safety policies with wider coverage and a stronger system are effective in preventing accidents, but caution should be exercised to avoid reduced vigilance with decreasing death rates.

Descriptive analysis of occupational accidents in Spain and their relationship with heatwaves

ObjectiveThe purpose of this work is to carry out a descriptive analysis of occupational accidents and to evaluate the relationship between heatwaves and work accidents in Spain's three most populated provinces: Madrid, Barcelona and Valencia. MethodsDaily data of work accidents (including for each case: gender, age, date, length of time in the position, type of work, place of accident and duration of medical leave) was collected. A heatwave was defined when daily mean temperatures above the threshold (95th percentile) of the climatological period (1990–2021) were recorded for at least three consecutive days. To estimate the association between daily workplace accidents and heatwave events, we applied a Generalized Additive Model combined with a Distributed Lag Non-linear Model with a quasi-Poisson distribution. ResultsThe average annual accident rate was 33.2 work accidents/100,000 employees in Madrid, 35.8 work accidents/100,000 employees in Barcelona and 31.8 work accidents/100,000 employees in Valencia. The total accident rates followed a downward trend between 2005 and 2021. The difference in work accident rates between sex decreased over the studied period (p < 0.005). In the first month of work, the highest casualty rate occurs among construction workers in Madrid and Barcelona, and in primary sector workers in Valencia. Work accidents tend to increase during heatwaves. The highest risk was recorded when considering a cumulative lagged effect of 3 days in Madrid and Barcelona and 5 days in Valencia. ConclusionsSince work accidents increase during heatwaves, risk prevention services and public administrations must take special measures to prevent them.

Comprehensive analysis of occupational accidents contributing factors in the electrical industry

This research investigates the linkages between the contributing factors of occupational accidents in the electrical industry, i.e., the business unit factor, the time of accidents, the level of injuries, the gender, and the day when occurred. The research also analyzes the linkage between the contributing factors of accidents to the occurrence of occupational accidents. The research method employed crosstab analysis as a quantitative technique through reports of occupational accidents, especially in the Indonesia Electrical Industry. Moreover, dummy variable regression is utilized to analyze the impact of contributing factors on the likelihood of work accidents. The results show that there is no significant statistical relationship between the contributing factors of occupational accidents, namely the business unit to the level of injury, the business unit to the day, the time of the accident to the level of injury, the time of the accident to the day, and the level of injury to the day. This research also finds that the significant variable in occupational accidents is the type of generation unit. As for the variable type of injury and the days, both are not proven to correlate statistically. This study can help the electrical industry improve occupational health and safety (OHS) performance through analysis to optimize the company's resources. The Management of the electrical company can allocate the right policy to increase OHS operational performance. This research integrates the identifying significant factors of occupational accidents and analyses their linkage, which can help guide future research in this area.

A New Accident Analysis Model Proposal in Occupational Safety Risk Management: "Star Diagram"

Occupational accidents are a global problem in terms of their effects. Different techniques for the analysis of accidents are available in the literature. Accident analyzes, which experts often conduct with linguistic expressions, cause some problems in expressing the sizes and distributions of root and supporting factors. Existing approaches do not clearly reflect the distribution of factors that may cause an accident. In this direction, a new model has been proposed to the literature for the analysis of occupational accidents within the scope of this study. The proposed model was developed based on accident theories and complies with the principles of root cause analysis. However, it has brought many innovations to existing applications. The proposed method, the factors affecting the accident; It divides it into 5 main groups as “Personal”, “Environment”, “Management”, “Machine and Equipment” and “Organization”. Each of these identified main factors is characterized by schematic distribution to the 5 arms of a star. For this reason, the method is called "Star Diagram". The proposed model is a first in the literature in this field. The main parameters in risk analysis are probability and severity. Before accidents occur, the magnitude of the risk is expressed in line with these parameters. Inspired by this, the proposed model determines to what extent the impact categories contribute to the probability of the event and the severity of the damage after the accident occurs. In this direction, relative data can be expressed as a percentage of which category affects the formation of the accident. The proposed model stands out with its categorized root cause analysis and quantitative magnitude expressions, which are not available in other techniques. In this respect, it fills an important gap in the literature.

Türkiye'deki Havalimanlarında Yolcu ve Yük Taşımacılığı Faaliyetlerinde Yaşanan İş Kazalarının Durum Analizi

Air transport is of great importance in terms of both passenger and freight transport today. The aviation sector, which is growing and developing day by day, has a large share especially in terms of safety and security, occupational health and safety. This study has been prepared for the analysis of occupational accidents and occupational safety issues for both the sector and the employees, in the processes that are carried out meticulously in order to avoid any possibility of mistakes. Studies carried out at airports in Turkey with the code “51 – Air Freight” are grouped under two basic economic activity classifications in the Social Security Institution (SSI) system as “51/1 – Passenger Transportation by Air” and “51/2 – Freight Transportation by Air”. In the study, the situation of work accidents in these transportation activities at the airports in Turkey was analyzed and compared. With the analysis of the sector's occupational accidents data between the years 2013-2021; the number of workplaces, the number of insured personnel, the number of insured people who had a work accident, the period of temporary disability after work accident, the number of deaths after work accident, the number of employees per workplace, the number of work accidents per insured, the temporary incapacity period per work accident and the after-work accident are calculated. Lost working time was calculated. With the obtained data, the situation of occupational accidents in the sector was examined. According to the analysis of the data within certain periods, the passenger and freight transportation activities at the airports in Turkey were evaluated in terms of occupational health and safety.

Analysis of Occupational Accidents in University Hospital in Bogotá, Colombia, between June 2022 and June 2023. And Proposal Reporting System Improving

Analysis of Occupational Accidents in University Hospital in Bogotá, Colombia, between June 2022 and June 2023. And Proposal Reporting System Improving

Analysis of occupational accidents in the land transport and transport sector

In the contribution, we focus on the number of registered, serious and fatal occupational accidents in the land transport and transport sector in a specific time period. At the same time, we also examine in detail the causes of individual occupational accidents in the selected sector and time period. We use statistical methods to process the obtained data. For comparison, we attach serious and fatal occupational accidents that occurred in the monitored time period from the Czech Republic. At the same time, we also propose preventive measures to reduce the number of occupational accidents in the land transport and transportation sector.

Retrospective Analysis of Occupational Accidents in Healthcare Professionals: Finne-Kinney Risk Assessment

Retrospective Analysis of Occupational Accidents in Healthcare Professionals: Finne-Kinney Risk Assessment

Analysis of occupational accidents for fisher’s on gillnet fishing vessel using the written verdict

Analysis of occupational accidents for fisher’s on gillnet fishing vessel using the written verdict

Analysis of Occupational Accidents in Tree Climbers

The work of tree climbers is a hazardous activity during which many risks of occupational accidents must be faced. Numerous injuries happen during the performance of this professional activity. This is why our research was conducted, and the principle of which was to gather and evaluate, on the basis of the questionnaire method, injuries occurring to tree climbers during their work. An anonymous online questionnaire was prepared in order to obtain data about the rate of accidents recorded amongst tree climbers working in the territory of the Czech Republic. There were 121 tree climbers participating in the collection of data. The questionnaire was divided into seven sections, each section including questions focused on possible injuries related to the work of tree climbers and first aid. Answers of respondents indicated that the highest number of injuries were caused by cutting with the manual saw. Burns caused by the power saw and damage to eyes by sawdust or dust during sawing followed. The results also showed that nearly 30% of tree climbers work alone, and 47% of tree climbers collaborate with a ground worker who is not able to rescue them from the tree in the case of an exceptional unexpected situation. The research also revealed surprising results as to carrying first aid kits. Only 62% of tree climbers have a personal first aid kit on them in the tree crown. However, a positive finding appears in the fact that 75% of tree climbers are graduates of some medical course.

A analysis of occupational accidents in the Korea trap fishing vessel

A analysis of occupational accidents in the Korea trap fishing vessel

Cause–responsibility analysis of occupational accidents in an automotive company

The aim of this study was to determine the root causes of accidents and the responsibility rates of the parties involved in those accidents. For this purpose, 20 important accidents of an automotive company were selected and the root causes, the parties involved in the accidents and the respective responsibility rates were determined by 10 experts based on dividing into 11 Tripod Beta basic risk factors and using occupational accident tree analysis (OATA) and occupational accident component analysis (OACA) techniques. The results revealed that among the defects in the management system, the organizational system’s defects had the greatest impact on the occurrence of occupational accidents. By modifying about half of the basic risk factors, 80% of occupational accidents can be controlled. Also, by focusing on monitoring and design units, the company’s accidents can be reduced by up to 50%.

Analysis of Occupational Accidents in the Spanish Mining Sector in the Period 2009-2018.

Occupational accidents in the Spanish mining industry have been substantially reduced over the last decades. However, the incidence rate shows higher values than other leading mining countries. In this regard, the research carried out reveals the factors influencing the high incidence rates of the Spanish mining sector, based on three scenarios: underground mining (UG), quarries and open pit mining (OP) and mineral processing plants (PP). The three most common types of accident for each scenario have been determined, considering the accidents in Spain between 2009 and 2018. The analysis also includes the main deviations, and physical activities that the injured worker was carrying out at the time of the accident. Besides, a model to predict the number of accidents based on the lost working days is also presented together with the incidence and severity risk index adjusted by the number of employees and their worked hours, respectively, in each scenario. These finding can be relevant to define the most effective measures and policies to reduce the number of accidents in the mining sector.

Consideration on the results of occupational accident analysis of machinery

Consideration on the results of occupational accident analysis of machinery

Analysis of Occupational Accidents: A Data Mining Study

Introduction: Despite efforts exerted in various areas of the industry to reduce occupational accidents, the frequency of these accidents is reported to be catastrophically high. Therefore, this study was designed and conducted to analyze occupational accidents during a 3-year period.&#x0D; Methods: The current study was a retrospective and descriptive-analytical study carried out in four regions of Tehran between 2019-2020. The data collection instrument consisted of 818 reports of the occupational accident recorded in the Department of Labor in Tehran. Feature selection (IBM SPSS Modeler software) and binominal multiple logistic regression analysis (IBM SPSS software) were utilized in this study.&#x0D; Results: The means of age and experience of injured workers were found to be 34.55±11.55 and 14.12±9.87, respectively. The highest rate of occupational accidents belonged to construction workshops (52.4%), production (24.4 %) and other public and social services activities (11.1 %). Data mining and modeling of factors affecting these occupational accidents showed that the consequence of the accidents was affected by seven factors (p&lt;0.05). The results showed that the work experience, type of activity, number of workers, accident time on the day, type of incidence and the causes of the accident remained in the final model and were significant with the consequence of the occupational accidents (p&lt;0.05).&#x0D; Conclusion: The results indicated that different parameters can affect the occurrence of occupational accidents. Additionally, the consequences of these occupational accidents can be influenced by different parameters and factors.

Occupational accident analysis according to professionals of different construction phases using association rules

Despite continuous efforts to improve safety, worker safety awareness on construction sites is a major concern as it remains one of the most dangerous industries. The large number of factors involved in accidents and the complexity of the relationships between them make management difficult for managers. Therefore, potential hazards cannot be identified in order to develop effective safety procedures. This study addresses this problem by using the association rule method of data mining to extract knowledge from historical data of construction accidents. It can help managers to identify and provide frequent conditions that can be prevented in future by controlling risks on site. Occupational accidents that have been notified through an official electronic system on Spanish construction sites between 2003 and 2015 are analysed. Data have been divided according to professionals to explore the accidents in each construction phase. The results show patterns and recurrent factors with multiple relationships in all phases of the construction works. This is the case for the outsourcing variable which is a critical factor in occupational accidents in all construction phases. Similarly, the results have also shown that risk assessment is not an insurmountable barrier to accidents. Consideration of the different stages of the work provides flexibility in order to improve risk reduction and control actions. The results of the study provide a framework for improving safety practices, providing a valuable reference for all agents involved in the construction industry to improve risk management, preventive measures and action plans.

Analysis of Occupational Accidents Occurred in The Forestry Sector in Turkey

Ormancılık sektöründe silvikültürel müdahaleler, orman ürünlerinin bölmeden çıkarılması gibi farklı çalışma koşulları içeren iş faaliyetleri olup, iş kazaları çevresel ve kişisel faktörlere bağlı olarak meydana gelebilmektedir. Ortaya konulan bu çalışmada, Türkiye’de ormancılık sektöründe 2013-2019 yılları arasında meydana gelen iş kazaları çeşitli ölçütler açısından genel olarak Türkiye geneli iş kazaları açısından değerlendirmek ve ormancılıkta sektöründeki ekonomik faaliyet sınıflarına göre iş kazalarını değerlendirmek amaçlanmıştır. Bu kapsamda değerIendirme ölçütleri olarak kaza sıklık oranı (KSO), kaza frekansı (KF) ve kaza ağırlık oranı (KAO) kullanılmıştır. Ormancılık sektöründe iş kazaları ekonomik faaliyet sınıfları açısından incelendiğinde ise, yıllar itibariyle ölümlü olmayan iş kazalarına göre “ormancılık için destekleyici faaliyetler ekonomik faaliyeti”nin KS, KF ve KAO ölçütleri açısından “silvikültürel ve diğer ormancılık faaliyetleri”, “tomrukçuluk faaliyetleri” ve “ağaç dışındaki yabani olarak yetişen ürünlerin toplanması” faaliyetlerinden daha yüksek değere sahip olduğu belirlenmiştir. Ulaşılan bulgular genel olarak değerlendirildiğinde, ormancılık sektörünün Türkiye geneli iş kazaları açısından durumu belirlenerek, sektörün durumu ortaya konulmuştur.