Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten years
Background and aims: correspondence analysis method and preparation of accident and occupational hazards pattern enables forecasts and predictions of accidents and prioritizations of risks and injuries to be obtained automatically. The procedure for any company, regardless of its size is applicable....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
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Iran University of Medical Sciences
2017-07-01
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| Series: | Salāmat-i kār-i Īrān |
| Subjects: | |
| Online Access: | http://ioh.iums.ac.ir/article-1-1703-en.html |
| _version_ | 1818612402881560576 |
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| author | Rasoul Yarahmadi Peyman Yari Yahya Khosravi Masoud Salehi Hamid kariznovi |
| author_facet | Rasoul Yarahmadi Peyman Yari Yahya Khosravi Masoud Salehi Hamid kariznovi |
| author_sort | Rasoul Yarahmadi |
| collection | DOAJ |
| description | Background and aims: correspondence analysis method and preparation of accident and occupational hazards pattern enables forecasts and predictions of accidents and prioritizations of risks and injuries to be obtained automatically. The procedure for any company, regardless of its size is applicable. This study presents the first model accidents and occupational hazards as a first step to identify and predict accident in the workforces.
Method: initially was collected reports of occupational accidents registered in the Social Security for a period of ten years (2005 – 2015) (222,300 accidents) and the type of risk and injury related to any of the accidents have been codified following the criteria of the International Labor Organization. In the next step, the average annual occupational accidents summarized in a contingency table, include of risk (R) as row and injury (A) as column, it called risk-injury matrix. Correspondence analysis was selected as the suitable method for optimizing the risk-injury matrix functions. Thus, we were used statistical software STATISTICA and correspondence analysis test for data analysis.
Results: The obtained risk-injury group (the first pattern accidents and occupational hazards) include of six risks and seven injuries that the obtained pattern is composed of two dimensions: dimention1, with eigenvalue =0/562, dimention2, eigenvalue 0/419% is 78/6% of the total variance. The greatest affinities are contact with hot material (R11) with burn (A12); Accidents caused by burning and corrosive materials (R12) with other injuries (A18) and multiple injuries (A17); Contact with chemicals (R14) and accidents caused by toxic substances (R15) with gas shock (A14); Contact with electrical equipment (R13), explosions and fires (R17) with suffocation (A16) and poisoning (A13) and environmental hazards (A15) is the least affinity with other variables. Overall, mentioned variables have less affinity than other 23 variables.
Conclusion: This obtained risk-injury group includes all the of risk and injury variables related to the appearance of historically recent technological problems, the industrial revolution and scientific and technical development. In this group the Industrial accidents are identified in this group as risks associated with the work environment, and injuries being caused by the environment. This study is the first step to anticipate accidents and occupational hazards and prioritize risks and injuries and we can use these results fully to the goals came in the later stages. |
| first_indexed | 2024-12-16T15:45:40Z |
| format | Article |
| id | doaj.art-41b7594040fb40e690cf2d423f7adc51 |
| institution | Directory Open Access Journal |
| issn | 1735-5133 2228-7493 |
| language | fas |
| last_indexed | 2024-12-16T15:45:40Z |
| publishDate | 2017-07-01 |
| publisher | Iran University of Medical Sciences |
| record_format | Article |
| series | Salāmat-i kār-i Īrān |
| spelling | doaj.art-41b7594040fb40e690cf2d423f7adc512022-12-21T22:25:49ZfasIran University of Medical SciencesSalāmat-i kār-i Īrān1735-51332228-74932017-07-0114395104Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten yearsRasoul Yarahmadi0Peyman Yari1Yahya Khosravi2Masoud Salehi3Hamid kariznovi4 Background and aims: correspondence analysis method and preparation of accident and occupational hazards pattern enables forecasts and predictions of accidents and prioritizations of risks and injuries to be obtained automatically. The procedure for any company, regardless of its size is applicable. This study presents the first model accidents and occupational hazards as a first step to identify and predict accident in the workforces. Method: initially was collected reports of occupational accidents registered in the Social Security for a period of ten years (2005 – 2015) (222,300 accidents) and the type of risk and injury related to any of the accidents have been codified following the criteria of the International Labor Organization. In the next step, the average annual occupational accidents summarized in a contingency table, include of risk (R) as row and injury (A) as column, it called risk-injury matrix. Correspondence analysis was selected as the suitable method for optimizing the risk-injury matrix functions. Thus, we were used statistical software STATISTICA and correspondence analysis test for data analysis. Results: The obtained risk-injury group (the first pattern accidents and occupational hazards) include of six risks and seven injuries that the obtained pattern is composed of two dimensions: dimention1, with eigenvalue =0/562, dimention2, eigenvalue 0/419% is 78/6% of the total variance. The greatest affinities are contact with hot material (R11) with burn (A12); Accidents caused by burning and corrosive materials (R12) with other injuries (A18) and multiple injuries (A17); Contact with chemicals (R14) and accidents caused by toxic substances (R15) with gas shock (A14); Contact with electrical equipment (R13), explosions and fires (R17) with suffocation (A16) and poisoning (A13) and environmental hazards (A15) is the least affinity with other variables. Overall, mentioned variables have less affinity than other 23 variables. Conclusion: This obtained risk-injury group includes all the of risk and injury variables related to the appearance of historically recent technological problems, the industrial revolution and scientific and technical development. In this group the Industrial accidents are identified in this group as risks associated with the work environment, and injuries being caused by the environment. This study is the first step to anticipate accidents and occupational hazards and prioritize risks and injuries and we can use these results fully to the goals came in the later stages.http://ioh.iums.ac.ir/article-1-1703-en.htmlcorrespondence analysisrisk-injury matrixriskinjuryindustrial accident |
| spellingShingle | Rasoul Yarahmadi Peyman Yari Yahya Khosravi Masoud Salehi Hamid kariznovi Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten years Salāmat-i kār-i Īrān correspondence analysis risk-injury matrix risk injury industrial accident |
| title | Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten years |
| title_full | Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten years |
| title_fullStr | Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten years |
| title_full_unstemmed | Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten years |
| title_short | Correspondence analysis of occupational accidents occurred among insured workers Social Security for a period of ten years |
| title_sort | correspondence analysis of occupational accidents occurred among insured workers social security for a period of ten years |
| topic | correspondence analysis risk-injury matrix risk injury industrial accident |
| url | http://ioh.iums.ac.ir/article-1-1703-en.html |
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