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2 "Hamed Aghaei"
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Original Articles
Analysis of the severity of occupational injuries in the mining industry using a Bayesian network
Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid kalatpuor, Ali Reza Soltanian, Asghar Nikravesh
Epidemiol Health. 2019;41:e2019017.   Published online May 11, 2019
DOI: https://doi.org/10.4178/epih.e2019017
  • 11,646 View
  • 232 Download
  • 11 Web of Science
  • 7 Crossref
AbstractAbstract PDF
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.
Summary

Citations

Citations to this article as recorded by  
  • 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
    Dan Tian, Hao Liu, Shu Chen, Mingchao Li, Chengzhao Liu
    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
Effects of human and organizational deficiencies on workers’ safety behavior at a mining site in Iran
Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid Kalatpour, Ali Reza Soltanian, Maryam SeyedTabib
Epidemiol Health. 2018;40:e2018019.   Published online May 18, 2018
DOI: https://doi.org/10.4178/epih.e2018019
  • 13,249 View
  • 204 Download
  • 22 Web of Science
  • 24 Crossref
AbstractAbstract PDF
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.
Summary

Citations

Citations to this article as recorded by  
  • Exploring the application of PLS-SEM in construction management research: a bibliometric and meta-analysis approach
    Sachin Batra
    Engineering, Construction and Architectural Management.2024;[Epub]     CrossRef
  • Analysis of characteristics and causes of gas explosion accidents: a historical review of coal mine accidents in China
    Yunxin Wang, Gui Fu, Qian Lyu, Chenhui Yuan
    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
    Wang Yuxin, Fu Gui, Lyu Qian, Li Xiao, Chen Yiran, Wu Yali, Xie Xuecai
    Process Safety and Environmental Protection.2023; 170: 28.     CrossRef
  • Conceptual Framework for Hazards Management in the Surface Mining Industry—Application of Structural Equation Modeling
    Saira Sherin, Salim Raza, Ishaq Ahmad
    Safety.2023; 9(2): 31.     CrossRef
  • Identification and evaluation of maintenance error in catalyst replacement using the HEART technique under a fuzzy environment
    Mostafa Mirzaei Aliabadi, Iraj Mohammadfam, Keyvan Salimi
    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
    Li Yang, Xue Wang, Junqi Zhu, Zhiyuan Qin
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Risk Factors Identification of Unsafe Acts in Deep Coal Mine Workers Based on Grounded Theory and HFACS
    Li Yang, Xue Wang, Junqi Zhu, Zhiyuan Qin
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Application of AHP and DEMATEL for Identifying Factors Influencing Coal Mine Practitioners’ Unsafe State
    Lei Chen, Hongxia Li, Shuicheng Tian
    Sustainability.2022; 14(21): 14511.     CrossRef
  • Integrated Method for Assessing Occupational Risks at Oil and Gas Production Facilities
    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
    N V Gorlenko, M A Murzin
    IOP Conference Series: Materials Science and Engineering.2021; 1079(6): 062078.     CrossRef
  • Occupational Risk Assessment for Workers of Aluminum Production Using the Example of RUSAL Bratsk OJSC
    M A Murzin, M S Tepina, N V Gorlenko
    IOP Conference Series: Materials Science and Engineering.2021; 1079(6): 062080.     CrossRef
  • Zero-Emission Water Cycle When Developing Underground Gas Storage in Rock Salt Formation
    E A Lokshina, A V Kolchin, B N Mastobaev
    IOP Conference Series: Materials Science and Engineering.2021; 1079(7): 072039.     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
  • Investigation of the Relationship among Human Factors in Mining Accidents Using a Systematic Approach
    Mostafa Mirzaei Aliabadi, Taleb Askaripoor, Hamed Aghaei
    Journal of Occupational Hygiene Engineering.2021; 8(2): 8.     CrossRef
  • Contributory factors interactions model: A new systems‐based accident model
    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
    Yan Li, Yan Zhang, Haifeng Dai, Ziyan Zhao
    Complexity.2020; 2020: 1.     CrossRef
  • A Discourse on the Incorporation of Organizational Factors into Probabilistic Risk Assessment: Key Questions and Categorical Review
    Justin Pence, Zahra Mohaghegh
    Risk Analysis.2020; 40(6): 1183.     CrossRef
  • Occupational Risks in the Extraction and Processing of Mineral Raw Materials
    N V Gorlenko, M S Leonova, M A Murzin
    IOP Conference Series: Earth and Environmental Science.2020; 459(3): 032023.     CrossRef
  • Structural equation modeling of risk-taking behaviors based on personality dimensions and risk power
    MostafaMirzaei Aliabadi, Elnaz Taheri, Kamran Najafi, Farzaneh Mollabahrami, Sajjad Deyhim, Maryam Farhadian
    International Archives of Health Sciences.2020; 7(3): 119.     CrossRef
  • The Relationships Among Occupational Safety Climate, Patient Safety Climate, and Safety Performance Based on Structural Equation Modeling
    Hamed Aghaei, Zahra Sadat Asadi, Mostafa Mirzaei Aliabadi, Hassan Ahmadinia
    Journal of Preventive Medicine and Public Health.2020; 53(6): 447.     CrossRef
  • Analysis of the severity of occupational injuries in the mining industry using a Bayesian network
    Mostafa Mirzaei Aliabadi, Hamed Aghaei, Omid kalatpuor, Ali Reza Soltanian, Asghar Nikravesh
    Epidemiology and Health.2019; 41: e2019017.     CrossRef
  • Cause Analysis of Unsafe Behaviors in Hazardous Chemical Accidents: Combined with HFACs and Bayesian Network
    Xiaowei Li, Tiezhong Liu, Yongkui Liu
    International Journal of Environmental Research and Public Health.2019; 17(1): 11.     CrossRef
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