A Stochastic Model for the Analysis of Occupational Injuries on Jobs of Varying Physical Stresses
A stochastic model is used to analyze occupational injuries associated with heterogeneous job exposures, i.e., workers switch jobs with different physical stress. One problem encountered in modeling such cases is that the risk of injury while performing a low stress job may be affected by the length...
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| Veröffentlicht in: | IIE transactions 1988-09, Vol.20 (3), p.263-268 |
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| container_title | IIE transactions |
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| creator | CHUNG, MEN K. HERRIN, GARY D. POLLOCK, STEPHEN M. |
| description | A stochastic model is used to analyze occupational injuries associated with heterogeneous job exposures, i.e., workers switch jobs with different physical stress. One problem encountered in modeling such cases is that the risk of injury while performing a low stress job may be affected by the length of previous exposure to a high stress job, and vice versa. A semi-Markov process is assumed for transition among heterogeneous jobs and subsequent injuries. The model is used to determine the significant factors related to major injury incidence for 1,251 workers in a southwestern industrial plant. Gender is found to be highly significant in predicting major injuries among workers exposed to high stress jobs. A worker's past minor injury experience also appears to be strongly associated with the likelihood of future major injury occurrence. |
| doi_str_mv | 10.1080/07408178808966179 |
| format | Article |
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One problem encountered in modeling such cases is that the risk of injury while performing a low stress job may be affected by the length of previous exposure to a high stress job, and vice versa. A semi-Markov process is assumed for transition among heterogeneous jobs and subsequent injuries. The model is used to determine the significant factors related to major injury incidence for 1,251 workers in a southwestern industrial plant. Gender is found to be highly significant in predicting major injuries among workers exposed to high stress jobs. 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One problem encountered in modeling such cases is that the risk of injury while performing a low stress job may be affected by the length of previous exposure to a high stress job, and vice versa. A semi-Markov process is assumed for transition among heterogeneous jobs and subsequent injuries. The model is used to determine the significant factors related to major injury incidence for 1,251 workers in a southwestern industrial plant. Gender is found to be highly significant in predicting major injuries among workers exposed to high stress jobs. A worker's past minor injury experience also appears to be strongly associated with the likelihood of future major injury occurrence.</description><subject>Applied physiology</subject><subject>Biological and medical sciences</subject><subject>Human physiology applied to population studies and life conditions. 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Human ecophysiology</topic><topic>Medical sciences</topic><toplevel>online_resources</toplevel><creatorcontrib>CHUNG, MEN K.</creatorcontrib><creatorcontrib>HERRIN, GARY D.</creatorcontrib><creatorcontrib>POLLOCK, STEPHEN M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IIE transactions</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CHUNG, MEN K.</au><au>HERRIN, GARY D.</au><au>POLLOCK, STEPHEN M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Stochastic Model for the Analysis of Occupational Injuries on Jobs of Varying Physical Stresses</atitle><jtitle>IIE transactions</jtitle><date>1988-09-01</date><risdate>1988</risdate><volume>20</volume><issue>3</issue><spage>263</spage><epage>268</epage><pages>263-268</pages><issn>0740-817X</issn><eissn>1545-8830</eissn><coden>IIETDM</coden><abstract>A stochastic model is used to analyze occupational injuries associated with heterogeneous job exposures, i.e., workers switch jobs with different physical stress. One problem encountered in modeling such cases is that the risk of injury while performing a low stress job may be affected by the length of previous exposure to a high stress job, and vice versa. A semi-Markov process is assumed for transition among heterogeneous jobs and subsequent injuries. The model is used to determine the significant factors related to major injury incidence for 1,251 workers in a southwestern industrial plant. Gender is found to be highly significant in predicting major injuries among workers exposed to high stress jobs. A worker's past minor injury experience also appears to be strongly associated with the likelihood of future major injury occurrence.</abstract><cop>Norcross, GA</cop><pub>Taylor & Francis Group</pub><doi>10.1080/07408178808966179</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0740-817X |
| ispartof | IIE transactions, 1988-09, Vol.20 (3), p.263-268 |
| issn | 0740-817X 1545-8830 |
| language | eng |
| recordid | cdi_crossref_primary_10_1080_07408178808966179 |
| source | Taylor & Francis Journals Complete |
| subjects | Applied physiology Biological and medical sciences Human physiology applied to population studies and life conditions. Human ecophysiology Medical sciences |
| title | A Stochastic Model for the Analysis of Occupational Injuries on Jobs of Varying Physical Stresses |
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