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Analysis of the severity of occupational injuries in the mining industry using a Bayesian network
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Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid kalatpuor, Ali Reza Soltanian, Asghar Nikravesh
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Epidemiol Health. 2019;41:e2019017. Published online May 11, 2019
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DOI: https://doi.org/10.4178/epih.e2019017
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13,864
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Abstract
OBJECTIVES
Occupational injuries are known to be the main adverse outcome of occupational accidents. The purpose of the current study was to identify control strategies to reduce the severity of occupational injuries in the mining industry using Bayesian network (BN) analysis.
METHODS The BN structure was created using a focus group technique. Data on 425 mining accidents was collected, and the required information was extracted. The expectation-maximization algorithm was used to estimate the conditional probability tables. Belief updating was used to determine which factors had the greatest effect on severity of accidents.
RESULTS Based on sensitivity analyses of the BN, training, type of accident, and activity type of workers were the most important factors influencing the severity of accidents. Of individual factors, workers’ experience had the strongest influence on the severity of accidents.
CONCLUSIONS Among the examined factors, safety training was the most important factor influencing the severity of accidents. Organizations may be able to reduce the severity of occupational injuries by holding safety training courses prepared based on the activity type of workers.
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Summary
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Citations
Citations to this article as recorded by  - Global prevalence of occupational injuries among sanitation workers: a systematic review and meta-analysis
Sina Temesgen Tolera, Tesfaye Gobena, Nega Assefa, Abraham Geremew
Frontiers in Public Health.2024;[Epub] CrossRef - A fuzzy Bayesian network DEMATEL model for predicting safety behavior
Mohsen Mahdinia, Iraj Mohammadfam, Ahmad Soltanzadeh, Mostafa Mirzaei Aliabadi, Hamed Aghaei
International Journal of Occupational Safety and Ergonomics.2023; 29(1): 36. CrossRef - Analysis of occupational accidents among nurses working in hospitals based on safety climate and safety performance: a Bayesian network analysis
Fakhradin Ghasemi, Hamed Aghaei, Taleb Askaripoor, Farhad Ghamari
International Journal of Occupational Safety and Ergonomics.2022; 28(1): 440. CrossRef - Retrospective assessment of the association between noise exposure and nonfatal and fatal injury rates among miners in the United States from 1983 to 2014
Abas Shkembi, Lauren M. Smith, Richard L. Neitzel
American Journal of Industrial Medicine.2022; 65(1): 30. CrossRef - Contributing effects of individual characteristics, behavioural and job-related factors on occurrence of mining-related injuries: A systematic review
Michael Mayom Ajith, Apurna Kumar Ghosh, Janis Jansz
Work.2022; 71(1): 87. CrossRef - Human Error Analysis for Hydraulic Engineering: Comprehensive System to Reveal Accident Evolution Process with Text Knowledge
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Journal of Construction Engineering and Management.2022;[Epub] CrossRef - Analysis of occupational accidents in Spain using shrinkage regression methods
Vicente Gallego, Ana Sánchez, Isabel Martón, Sebastián Martorell
Safety Science.2021; 133: 105000. CrossRef - Research trends in mining accidents study: A systematic literature review
Siti Noraishah Ismail, Azizan Ramli, Hanida Abdul Aziz
Safety Science.2021; 143: 105438. CrossRef
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Effects of human and organizational deficiencies on workers’ safety behavior at a mining site in Iran
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Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid Kalatpour, Ali Reza Soltanian, Maryam SeyedTabib
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Epidemiol Health. 2018;40:e2018019. Published online May 18, 2018
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DOI: https://doi.org/10.4178/epih.e2018019
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15,777
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213
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22
Web of Science
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24
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Abstract
PDF
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Abstract
OBJECTIVES
Throughout the world, mines are dangerous workplaces with high accident rates. According to the Statistical Center of Iran, the number of occupational accidents in Iranian mines has increased in recent years. This study investigated and analyzed the human and organizational deficiencies that influenced Iranian mining accidents.
METHODS In this study, the data associated with 305 mining accidents were analyzed using a systems analysis approach to identify critical deficiencies in organizational influences, unsafe supervision, preconditions for unsafe acts, and workers’ unsafe acts. Partial least square structural equation modeling (PLS-SEM) was utilized to model the interactions among these deficiencies.
RESULTS Organizational deficiencies had a direct positive effect on workers’ violations (path coefficient, 0.16) and workers’ errors (path coefficient, 0.23). The effect of unsafe supervision on workers’ violations and workers’ errors was also significant, with path coefficients of 0.14 and 0.20, respectively. Likewise, preconditions for unsafe acts had a significant effect on both workers’ violations (path coefficient, 0.16) and workers’ errors (path coefficient, 0.21). Moreover, organizational deficiencies had an indirect positive effect on workers’ unsafe acts, mediated by unsafe supervision and preconditions for unsafe acts. Among the variables examined in the current study, organizational influences had the strongest impact on workers’ unsafe acts.
CONCLUSIONS Organizational deficiencies were found to be the main cause of accidents in the mining sector, as they affected all other aspects of system safety. In order to prevent occupational accidents, organizational deficiencies should be modified first.
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Summary
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Citations
Citations to this article as recorded by - Exploring the application of PLS-SEM in construction management research: a bibliometric and meta-analysis approach
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International Journal of Occupational Safety and Ergonomics.2024; 30(1): 168. CrossRef - A fuzzy Bayesian network DEMATEL model for predicting safety behavior
Mohsen Mahdinia, Iraj Mohammadfam, Ahmad Soltanzadeh, Mostafa Mirzaei Aliabadi, Hamed Aghaei
International Journal of Occupational Safety and Ergonomics.2023; 29(1): 36. CrossRef - Assessing the impact of peripheral vision on construction site safety
Isik Ates Kiral, Sevilay Demirkesen
Engineering, Construction and Architectural Management.2023; 30(9): 4435. CrossRef - Modelling and analysis of unsafe acts in coal mine gas explosion accidents based on network theory
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Process Safety and Environmental Protection.2023; 170: 28. CrossRef - Conceptual Framework for Hazards Management in the Surface Mining Industry—Application of Structural Equation Modeling
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International Journal of Occupational Safety and Ergonomics.2022; 28(2): 1291. CrossRef - Influencing Factors, Formation Mechanism, and Pre-control Methods of Coal Miners′ Unsafe Behavior: A Systematic Literature Review
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N V Gorlenko, M A Murzin
IOP Conference Series: Earth and Environmental Science.2021; 666(6): 062141. CrossRef - Integrated Method for Assessing Occupational Risks at Oil and Gas Production Facilities
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E A Lokshina, A V Kolchin, B N Mastobaev
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Siti Noraishah Ismail, Azizan Ramli, Hanida Abdul Aziz
Safety Science.2021; 143: 105438. CrossRef - Investigation of the Relationship among Human Factors in Mining Accidents Using a Systematic Approach
Mostafa Mirzaei Aliabadi, Taleb Askaripoor, Hamed Aghaei
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Linlin Jing, Qingguo Bai, Weiqun Guo, Yan Feng, Lin Liu, Yingyu Zhang
Systems Research and Behavioral Science.2020; 37(2): 255. CrossRef - Game Modelling and Strategy Research on Trilateral Evolution for Coal-Mine Operational Safety Production System: A Simulation Approach
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Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid kalatpuor, Ali Reza Soltanian, Asghar Nikravesh
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