Work Accidents and Occupational Diseases Cluster Analysis with respect to the classification of the provinces in Turkey

Abstract

Clustering analysis is a multivariate statistical method used to determine whether a data set contains different groups, and if so, to identify these groups. The clusters that can be obtained as a result of cluster analysis are expected to be as similar within themselves and as different among themselves. Clustering analysis is a method used in almost all scientific fields. It is a method that is used more extensively in science fields such as Medicine, Biology, Psychology, Sociology, Archeology where uncertainty conditions and complex formations exist. In this study, it has been tried to determine the provincial groups that show the same structures with the variables of 81 related to 19 occupational accidents and occupational diseases. 81 provinces have been clustered according to occupational accidents and diseases by using the data of 2019, the year the Social Security Institution (SSI) published it. As a result of the analysis, the provinces with the best and worst conditions in terms of occupational accidents and diseases were revealed. It is aimed to clearly demonstrate the necessity of examining the source of the risk by determining the provinces with high risk in terms of work accidents and occupational diseases.