• Journal of the Korean Society of Safety
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• v.36 no.4
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• pp.47-53
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• 2021

The fatality rate is used to estimate each country's risk level. However, the fatality rate is calculated using the number of fatal accidents and workers, which is collected differently across countries. It is therefore problematic to use these numbers in an equivalent way. This study proposes a new approach for calculating the number of full-time equivalent workers when evaluating individual countries' fatality rate by suggesting an equivalent condition for the calculation of the number of full-time equivalent workers. This study proceeds in three steps: (i) analysis of the fatality rate among various countries; (ii) fatality rate calculation using the full-time equivalent workers; and (iii) comparison of the fatality rate among various countries. The study found that for the fatality rate based on national data, the fatality rate in South Korea (1.72‱) is 10 times higher than that in United Kingdom (0.17‱). However, according to the number of full-time equivalent workers, the fatality rate in South Korea (1.86‱) was three times higher than that in the United Kingdom (0.56‱). These findings reveal a difference in the fatality rate depending on the method used to calculate the number of full-time equivalent workers. Therefore, the number of full-time equivalent workers must be calculated for each country to accurately compare the fatality rate. Ultimately, the study's results highlight the need for clearer standards in the assessment of the fatality rate by country in international organizations such as the ILO.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.9 s.351
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• pp.25-31
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• 2006

In this paper, a fatality model of car accident using data mining is proposed with the goal of reducing fatality of traffic accident. The analysis results with a proposed fatality model are utilized to improve a technology and environment for driving. For this, traffic accident data are collected, a data mining algorithm is applied to this data, and then, a fatality model of car accident is developed based on the analysis. The training data as well as test data are utilized to develop the fatality model. The important factors to cause fatality in traffic accidents can be investigated using the model. If these factors are taken into account in traffic policies and driving environment, it is expected that the fatality rate of traffic accident can be reduced hereafter.

• Korean Journal of Veterinary Service
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• v.13 no.2
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• pp.154-161
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• 1990

This survey was carried out to investigate the fatality of the newborn beef calves in three ranches in Cheju area. The results were summarized as follows : 1. The fatality rate was 5.8%(67 calves) from the total 1, 160 calves examined. 2. There were pneumonia(46%), enteritis(16%), suckling disorder(13%), theileriasis (4%). and hypomagnesemia(4%) in dead calves. 3. Most of dead calves(78%) with 52cases died within 30days postparturition. 4. Bacteria-induced fatal diseases in newborn calves within 30 days postparturition might be closely associated with maternal immunity by the lack of immnunoglobalin of strum.

• International Journal of Industrial Entomology and Biomaterials
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• v.37 no.1
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• pp.9-14
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• 2018

Bacterial species, Bacillus amyloliquefaciens and Lactobacillus species (L. sp.5-1), are known to inhibit the growth of pathogenic bacteria and fungi. Metarhizium anisopliae is a pathogenic fungal species which causes fatal damage to P. brevitarsis populations. Therefore, we investigated the inhibitory effect of B. amyloliquefaciens and L. sp. 5-1 on M. anisopliae induced fatality rates in P. brevitarsis. Samples of M. anisopliae-infected sawdust were treated with strain B. amyloliquefaciens KACC10116, strain L. sp. 5-1 KACC19351, and a combination of the two. P. brevitarsis were fed treated sawdust samples, and their subsequent fatality rate was monitored. The fatality rate fell below 1.5% after 10 days and decreased by approximately 40% after 15 days. On average, the fatality rate decreased by 20%, compared to the control. The difference in the decrease in fatality rate between B. amyloliquefaciens treatment and L. sp. 5-1 treatment was not significant. Results indicate that both strains exhibit high anti-fungal activity, which may be useful in environmental purification efforts. These strains may be used for effective prevention of fungal infection in P. brevitarsis.

• Journal of Korean Society of Transportation
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• v.24 no.2 s.88
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• pp.139-145
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• 2006

This paper develops pedestrian fatality models capable of producing the probability of pedestrian fatality in collision between vehicles and pedestrians. Probabilistic neural network (PNN) and binary logistic regression (BLR) ave employed in modeling pedestrian fatality pedestrian age, vehicle type, and collision speed obtained from reconstructing collected accidents are used as independent variables in fatality models. One of the nice features of this study is that an iterative sampling technique is used to construct various training and test datasets for the purpose of better performance comparison Statistical comparison considering the variation of model Performances is conducted. The results show that the PNN-based fatality model outperforms the BLR-based model. The models developed in this study that allow us to predict the pedestrian fatality would be useful tools for supporting the derivation of various safety Policies and technologies to enhance Pedestrian safety.

• Journal of the Korean Society of Safety
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• v.35 no.3
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• pp.72-78
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• 2020

The accident fatality rate has decreased by more than 90% compared to 2006, due to the safety management and safety investment based on the Rail Safety Act. Most railway safety indicators, including fatality rates, have improved significantly from 60% to 80%, reaching the level of developed countries in terms of most railway safety indicators. However, the only staff fatality rate at work is not improved, and it is 3 to 5 times higher than that of developed countries. Most of the fatality occurred during employee's work recently occurred due to accidents hit by train while track work. In principle, when operating track need to check or maintenance, the operation of the train should be stopped and the work carried out. However, in Korea, due to the highest passenger density and train operating density in the world, it is caused by a structural problem that requires workers to enter the track while the train is running and perform various tasks such as maintenance and inspection. In this study, we analyzed the risk of accidents caused by hit by trains on the track, which is the biggest cause of staff fatality, using the main statistics of the last 10 years. In detail, the scenarios of the main causes of hit by trains and workers were formed to suggest the effectiveness of the current preventive measures and supplementary.

• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.49-57
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• 2005

This study developed a methodology for estimating the fatality reduction by introducing technical regulation on pedestrian protection in pedestrian-vehicle collisions. Modeling a probabilistic pedestrian fatality model with logistic regression approach was one of keen interests, which employed in estimating the fatality reduction. Collision speed obtained from the accident reconstruction was used in the model development. The effects of fatality reduction, in case various Head Injury Criterion (HIC) and collision speeds are applied for the regulation. were presented as the major outcome of this study. It is expected that the outcome of this study would be an invaluable tool to assist in developing various technologies and policies for pedestrian protection.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.28 no.3
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• pp.312-318
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• 2018

Objectives: This study is aimed to illustrate the status of the occupational accident rate, fatality rate, and musculoskeletal disorder rate by safety and health management type in workplaces. Methods: In order to analyze the status of the occupational accident rate, fatality rate, and musculoskeletal disorder rate of different safety and health management types in workplaces, selected data from the Occupational Safety and Health Research Institute were used. Results: The occupational accident rate in workplaces where safety and health managers had been appointed was lower than in those where safety and health management was entrusted to other organizations, while the result was the opposite in regards to the fatality rate per 10,000 workers caused by accident. However, the occupational fatality rate per 10,000 workers in workplaces where safety and health managers have other roles was 426% higher than those where safety and health management was entrusted to other organizations. Moreover, the musculoskeletal disorder rate of the workplaces where safety and health managers have other roles was 15% higher than those where health management was entrusted to other organizations. Conclusions: It is necessary to review the effectiveness of systems in which safety and health managers can concurrently engage in other roles.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.41-47
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• 2022

A reliable prediction model of national occupational accident fatality rate can be used to evaluate level of safety and health protection for workers in a country. Moreover, the socio-economic aspects of occupational accidents can be identified through interpretation of a well-organized prediction model. In this paper, we propose a machine learning based relative comparison methods to predict and interpret a national occupational accident fatality rate based on socio-economic indicators. First, we collected 29 years of the relevant data from 11 developed countries. Second, we applied 4 types of machine learning regression models and evaluate their performance. Third, we interpret the contribution of each input variable using Shapley Additive Explanations(SHAP). As a result, Gradient Boosting Regressor showed the best predictive performance. We found that different patterns exist across countries in accordance with different socio-economic variables and occupational accident fatality rate.

• Safety and Health at Work
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• v.14 no.3
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• pp.295-302
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• 2023

Background: Fisheries and aquaculture are statistically acknowledged to be among the most dangerous occupations. Yet, industrial safety and health precautions against occupational accidents within the sector are not sufficiently implemented in many parts of the world. The present study aims to provide a quantified overview of work accident statistics in the Turkish fisheries and aquaculture industry. Methods: This article presents an overview of reported injuries and fatalities in the Turkish fisheries and aquaculture industries from 2006 to 2020. Incident, permanent incapacity, and fatality rates were calculated, and the difference between fisheries and aquaculture was statistically examined. Results: The overall incident, permanent incapacity, and fatality rates were 449.4, 4.7, and 5.7 per 100,000 worker years, respectively, over the 15-year period. With these fatality rates, fisheries and aquaculture are two of the industries with the highest fatality rates among comparable industries in Turkey. Incident rates in fisheries and aquaculture indicated that aquaculture work is more dangerous and risky. The data set includes 25 fatalities and 22 permanent incapacity cases over 15 years and shows an increase in fatality rates and occupational accidents in the last 8 years. Conclusion: present study showed that the quality of data and reporting in the Turkish fisheries and aquaculture industries including occupational illnesses, must be improved in order to be more preventative and to develop efficient safety management in the sector. Incentives for providing thorough data on occupational incidents must be enhanced to improve occupational safety awareness in Turkish fisheries and aquaculture.