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http://dx.doi.org/10.17703/JCCT.2020.6.4.535

A Study on the Optimal Safety Measurement Classification System by Correcting and Deriving Statistical Items for External Causes of Death  

Park, Hyung-joo (Dept. of Architectural Engineering, Gachon Univ)
Publication Information
The Journal of the Convergence on Culture Technology / v.6, no.4, 2020 , pp. 535-543 More about this Journal
Abstract
The KSA caused an error in deriving the statistical measurement items due to the misconfiguration of the safety variables and sub-modules that constitute the safety statistics framework for external causes of death, and pathogenesis, without considering the academic classification system of the field and area of the disaster/accident. By naming it as a mechanism, it was analyzed that the result of poor statistical validity has arrived. Therefore, in this study, by changing the safety parameters according to the WHO safety definition and setting the sub-modules appropriately, the categories of falls, drowning accidents, and accidents exposed to inanimate mechanical forces are classified as accidents at industrial sites and work in daily life. As a result, by systematically re-establishing the complex group of statistical items of the NSO by deriving the field of disasters/accidents according to the nature of the source of external causes of death and setting the relevant domains academically, statistical validity gets better and It is anticipated to play an important role in determining the direction of safe investment.
Keywords
External Causes of Death; pathogenesis; Cause of Disaster.accident; Safety Variables; Operationalization;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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