Table 2.
A review of research in the field of occupational accident issues.
| Authors (year) | Research directions in the field of occupational accident issues |
|---|---|
| Ceylan (2012) (1) | Identifying the groups most frequently involved in accidents, their locations, and their causes. Analysis of accident rates. |
| Fontaneda et al. (2022) (15) | Determining the age groups most frequently involved in accidents at work, determining the time of the incident, the day of the week, the location of the incident and the consequences. |
| Xu and Xu (2020) (16) | Analysis of the accident rate, taking into account the severity of the consequences. Identification of causes and consequences of incidents. Selection of measures aimed at reducing risks. |
| Ali et al. (2010) (17) | Descriptive and ranking analysis of the causes of accidents in the construction industry, as well as the proposal of solutions to prevent the occurrence of accidents. |
| Ghamari et al. (2012) (18) | Study of the relationship between the occurrence of accidents and age, seniority, level of education, shift work. The use of the chi-square test. |
| Krause (2015) (19) | Analysis of measures of accident rates in the mining industry. |
| Paguay et al. (2023) (12) | Analysis of the effect of the economic sector on the rate of permanent disability resulting from occupational accidents. Use of the Tukey, Duncan test. |
| Nowacki (2021) (10) | Assessment of the relative risk RR of fatal accidents in the manufacturing sector in EU countries, and identification of differences in the level of occupational safety depending on GDP. |
| Małysa (2023) (20) | Analysis of relative risk (RR) in the construction industry. Forecasting the value of relative risk. Proposals for preventive measures in the scope of conducted analysis. |
| Silva and Jacinto (2012) (21) | Systematic data mining accident exploration. Analyses using statistical apparatus aimed at studying correlations between variables. |
| Shao et al. (2019) (22) | Studying patterns of fatal accidents using correlation coefficient analysis and analysis of variance. Identification of month, time, cause of fatal accidents. |
| Nag and Patel (1998) (23) | Determining the severity of the incidents, the location of the injury, the time period for recording the most frequent accident incidents (June-July), the shift on which the accident occurred. |
| Hintikka and Saarela (2010) (25) | Analysis of violent occupational accidents determined by analyzing statistical data on the description of the accident event. |
| Machado et al. (2023) (26) | Analysis of occupational hazards and the role of risk assessment and preventive measures in improving occupational safety. Selection of methods, tools to support OSH activities. |
| Fraqaan Nai’em et al. (2021) (24) | Accident analysis, taking into account the time of accident registration and the demographic characteristics of those injured in accident at work. |
| Shehadeh and Alshboul (2025) (27) | Predictive analytics using advanced ensemble machine learning algorithms—predict occupational injuries. |