Cargando…

Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering

Against the backdrop of the COVID-19 pandemic, it is necessary to identify these risks and determine whether the current level of management is appropriate to respond to the risk of biological hazards depending on the occupation. In this study, the incidence and fatality rates of occupational diseas...

Descripción completa

Detalles Bibliográficos
Autores principales: Shin, Saemi, Yoon, Won Suck, Byeon, Sang-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565592/
https://www.ncbi.nlm.nih.gov/pubmed/36231241
http://dx.doi.org/10.3390/ijerph191911922
_version_ 1784808928605896704
author Shin, Saemi
Yoon, Won Suck
Byeon, Sang-Hoon
author_facet Shin, Saemi
Yoon, Won Suck
Byeon, Sang-Hoon
author_sort Shin, Saemi
collection PubMed
description Against the backdrop of the COVID-19 pandemic, it is necessary to identify these risks and determine whether the current level of management is appropriate to respond to the risk of biological hazards depending on the occupation. In this study, the incidence and fatality rates of occupational diseases were calculated using industrial accident statistics of South Korea, and trends by year using joinpoint regression and relative risk by industry using k-means clustering were evaluated for infectious diseases. We found that infectious diseases had the third highest incidence and fourth highest fatalities among all occupational diseases. In the incidence rate, joinpoints appeared in 2009 and 2018, and the annual percent change changed to 7.79, −16.63, and 82.11. The fatality rate showed a consistent increase with an annual percent change of 4.37, but it was not significant. Industries were classified into five groups according to risk, and the legal control measures of certain industries were not sufficient. Follow-up studies are needed to rectify the structural limitations of industrial accident statistics.
format Online
Article
Text
id pubmed-9565592
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95655922022-10-15 Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering Shin, Saemi Yoon, Won Suck Byeon, Sang-Hoon Int J Environ Res Public Health Article Against the backdrop of the COVID-19 pandemic, it is necessary to identify these risks and determine whether the current level of management is appropriate to respond to the risk of biological hazards depending on the occupation. In this study, the incidence and fatality rates of occupational diseases were calculated using industrial accident statistics of South Korea, and trends by year using joinpoint regression and relative risk by industry using k-means clustering were evaluated for infectious diseases. We found that infectious diseases had the third highest incidence and fourth highest fatalities among all occupational diseases. In the incidence rate, joinpoints appeared in 2009 and 2018, and the annual percent change changed to 7.79, −16.63, and 82.11. The fatality rate showed a consistent increase with an annual percent change of 4.37, but it was not significant. Industries were classified into five groups according to risk, and the legal control measures of certain industries were not sufficient. Follow-up studies are needed to rectify the structural limitations of industrial accident statistics. MDPI 2022-09-21 /pmc/articles/PMC9565592/ /pubmed/36231241 http://dx.doi.org/10.3390/ijerph191911922 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shin, Saemi
Yoon, Won Suck
Byeon, Sang-Hoon
Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering
title Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering
title_full Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering
title_fullStr Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering
title_full_unstemmed Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering
title_short Trends in Occupational Infectious Diseases in South Korea and Classification of Industries According to the Risk of Biological Hazards Using K-Means Clustering
title_sort trends in occupational infectious diseases in south korea and classification of industries according to the risk of biological hazards using k-means clustering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9565592/
https://www.ncbi.nlm.nih.gov/pubmed/36231241
http://dx.doi.org/10.3390/ijerph191911922
work_keys_str_mv AT shinsaemi trendsinoccupationalinfectiousdiseasesinsouthkoreaandclassificationofindustriesaccordingtotheriskofbiologicalhazardsusingkmeansclustering
AT yoonwonsuck trendsinoccupationalinfectiousdiseasesinsouthkoreaandclassificationofindustriesaccordingtotheriskofbiologicalhazardsusingkmeansclustering
AT byeonsanghoon trendsinoccupationalinfectiousdiseasesinsouthkoreaandclassificationofindustriesaccordingtotheriskofbiologicalhazardsusingkmeansclustering