Risk hotspot of chemical accidents based on spatial analysis in Ulsan, South Korea

2020 ◽  
Vol 123 ◽  
pp. 104544
Author(s):  
Hangnan Yu ◽  
Woo-Kyun Lee ◽  
Jong Ryeul Sohn
Keyword(s):  
Spatial Analysis ◽  
South Korea ◽  
Chemical Accidents

scholarly journals Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

2016 ◽  
Vol 11 (2) ◽  
Author(s):  
Seong-Yong Park ◽  
Jin-Mi Kwak ◽  
Eun-Won Seo ◽  
Kwang-Soo Lee
Keyword(s):  
Higher Education ◽  
Spatial Analysis ◽  
South Korea ◽  
Local Governments ◽  
Regional Variation ◽  
Least Square ◽  
Hypertensive Disease ◽  
Significant Positive Association ◽  
Cross Sectional ◽  
Disease Mortality

This paper presents a cross-sectional study based on the cause of death statistics in 2011 extracted from all 229 local governments in South Korea. The standardised hypertensive disease mortality rate (SHDMR) was defined by age- and sex-adjusted mortality by hypertensive diseases distinguished by International Classification of Disease- 10 (ICD-10). Variables taken into account were the number of doctors per 100,000 persons, the proportion with higher education (including university students and high school graduates), the number of recipients of basic livelihood support per 100,000 persons, the annual national health insurance premium per capita and the proportion of persons classified as high-risk drinkers. Ordinary least square (OLS) regression and geographically weighted regression (GWR) were applied to identify the potential associations. The statistical analysis was conducted with SAS ver. 9.3, while ArcGIS ver. 10.0 was utilised for the spatial analysis. The OLS results showed that the number of basic livelihood recipients per 100,000 persons had a significant positive association with the SHDMR, and the proportion with higher education had a significant negative one. GWR coefficients varied depending on region investigated and some regional variables had various directions. GWR showed higher adjusted R2 than that of OLS. It was found that the SHDMR was affected by socio-economic status, but as the effects observed were not consistent in all regions of the country, the development of health policies will need to consider the potential for regional variation.

scholarly journals Chemical accident hazard assessment by spatial analysis of chemical factories and accident records in South Korea

2018 ◽  
Vol 27 ◽  
pp. 37-47 ◽  
Author(s):  
Seongbong Heo ◽  
Moonil Kim ◽  
Hangnan Yu ◽  
Woo-Kyun Lee ◽  
Jong Ryeul Sohn ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
South Korea ◽  
Hazard Assessment ◽  
Chemical Accident

scholarly journals Spatial analysis to assess the relationship between human and bovine brucellosis in South Korea, 2005–2010

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jun-Sik Lim ◽  
Kyung-Duk Min ◽  
Sukhyun Ryu ◽  
Seung-Sik Hwang ◽  
Sung-Il Cho
Keyword(s):  
Spatial Analysis ◽  
South Korea ◽  
Bovine Brucellosis ◽  
The Relationship

scholarly journals Assessment of Soil Contamination by Gas Cloud Generated from Chemical Fire Using Metabolic Profiling and Associated Bacterial Communities

Minerals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 372
Author(s):  
Jungman Jo ◽  
Yongtae Ahn ◽  
Kalimuthu Pandi ◽  
Heesoo Pyo ◽  
Naeun Kim ◽  
...  
Keyword(s):  
South Korea ◽  
Soil Contamination ◽  
Stress Responses ◽  
Contaminated Soil ◽  
Combustion Products ◽  
Field Soil ◽  
Metabolic Intermediate ◽  
Chemical Accidents ◽  
Fire Accidents ◽  
Gas Cloud

Chemical accidents have frequently occurred in South Korea as a result of the huge amount of chemicals being used in various industries. Even though fire accidents accounted for 71.9% of chemical accidents during 2008–2018 in South Korea, most ecological research and investigation has focused on leakage accidents since most fire or explosion gases are diffused out and disappear into the atmosphere. In this study, the possibility of soil contamination by toluene combustion is proposed. A fire simulation batch test was performed and identified the combustion by-products such as methylbenzene, ethylbenzene, ethynylbenzene, benzaldehyde, 1-phenyl-1-propyne, naphthalene, 2-methylindene using gas chromatography coupled with mass spectrometry (GC–MS). Naphthyl-2-methyl-succinic acid, a metabolic intermediate of naphthalene metabolism derived from the combustion product of toluene, was also discovered in field soil and the secondary metabolites such as streptomycin 6-phosphate, 3-Nitroacrylate, oxaloacetate using LC–MS. Moreover, Streptomyces scabiei, participating in naphthalene metabolism, was also discovered in filed soil (contaminated soil) using 16s rRNA sequencing. As a result, bacterial stress responses in field soil (contaminated soil) affected by gas cloud were identified by discovering metabolites relating to bacterial self-defense action such as fatty biosynthesis. This study draws a conclusion that soil can be polluted enough to affect bacteria by gas cloud and soil bacteria and can encounter stress for a long term even though toluene and its combustion products had already decomposed in soil.

scholarly journals 1499Health behaviours as risk factors of COVID-19 incidence in South Korea

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Jeehyun Kim ◽  
Daesung Yoo ◽  
Kwan Hong ◽  
Sujin Yum ◽  
Raquel Elizabeth Gómez Gómez ◽  
...  
Keyword(s):  
Risk Factors ◽  
Spatial Analysis ◽  
South Korea ◽  
Public Transportation ◽  
Negative Binomial ◽  
Dental Hygiene ◽  
Health Behaviours ◽  
Individual Vulnerability ◽  
Municipal Level ◽  
Bym Model

Abstract Background Personal health behaviours, which rely on community characteristics, could affect individual vulnerability on disease infection. Due to insufficient study to examine health behaviours as risk factors of COVID-19 infection, we conducted municipal level spatial analysis to investigate association between health behaviours and COVID-19 incidence. Methods We extracted cumulative COVID-19 incidence data from January 20th 2020 to February 25th 2021, health behaviours, health condition, socio-economic factors, and covariates in municipal level from publicly available dataset. We chose variables, which were standardized, considering multicollinearity (VIF<10). Further, we employed bayesian hierarchical negative binomial model with intrinsic conditional autoregressive (iCAR) and Besag, York and Mollié (BYM) model, and used deviance information criterion (DIC) for final model selection. Results The mean cumulative COVID-19 incidence per 10,000 population among 229 municipality was 13.73 (Standard deviation=11.43). iCAR model (DIC=2,825.3) outperformed BYM model (DIC=14,009.4). The results of iCAR model highlighted that incidence was associated with dental hygiene practice (incidence risk ratios [IRR]=0.92, 95% Credible Interval [CI]=0.85–1.00), whether tried to be thin (IRR=1.10, 95% CI = 1.00–1.20), proportion of medical personnel (IRR=1.09, 95% CI = 1.01–1.17), and volume of public transportation (IRR=1.19, 95% CI = 1.05–1.35), even after adjusting for various confounding factors. Conclusions Municipality with lower cumulative incidence was likely to have more people who practiced to keep dental hygiene and less people who tried to be thin. Key messages Municipal level spatial analysis resulted that health behaviours were associated with COVID-19 incidence in South Korea.

Deprivation and suicide mortality across 424 neighborhoods in Seoul, South Korea: a Bayesian spatial analysis

2015 ◽  
Vol 60 (8) ◽  
pp. 969-976 ◽  
Author(s):  
Tae-Ho Yoon ◽  
Maengseok Noh ◽  
Junhee Han ◽  
Kyunghee Jung-Choi ◽  
Young-Ho Khang
Keyword(s):  
Spatial Analysis ◽  
South Korea ◽  
Suicide Mortality ◽  
Bayesian Spatial Analysis
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