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

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.

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

International Journal of Disaster Risk Reduction ◽

10.1016/j.ijdrr.2017.09.016 ◽

2018 ◽

Vol 27 ◽

pp. 37-47 ◽

Cited By ~ 8

Author(s):

Seongbong Heo ◽

Moonil Kim ◽

Hangnan Yu ◽

Woo-Kyun Lee ◽

Jong Ryeul Sohn ◽

...

Keyword(s):

Spatial Analysis ◽

South Korea ◽

Hazard Assessment ◽

Chemical Accident

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Fluctuations in influenza-like illness epidemics and suicide mortality: A time-series regression of 13-year mortality data in South Korea

PLoS ONE ◽

10.1371/journal.pone.0244596 ◽

2021 ◽

Vol 16 (2) ◽

pp. e0244596

Author(s):

Sun Jae Jung ◽

Sung-Shil Lim ◽

Jin-Ha Yoon

Keyword(s):

Time Series ◽

South Korea ◽

Influenza A ◽

Suicide Mortality ◽

Mortality Data ◽

Time Series Regression ◽

Influenza Like Illness ◽

Pdm09 Virus ◽

Influenza A H1n1 ◽

Novel Influenza A

Aims We explored the association between influenza epidemic and suicide mortality rates in a large population using a time-series regression of 13-year mortality data in South Korea. Methods Weekly suicide mortalities and influenza-like illness (ILI) were analyzed using time series regression. Regression coefficient for suicide mortality based on percentage change of ILI was calculated using a quasi-Poisson regression. Non-linear distributed lag models with quadratic function up to 24 weeks were constructed. Results The association between ILI and suicide mortality increased significantly up to 8 weeks post-influenza diagnosis. A significant positive association between ILI and suicide mortality was observed from 2009, when a novel influenza A(H1N1)pdm09 virus provoked a worldwide pandemic. No meaningful association between these factors was observed before 2009. Conclusion There was a significant positive relationship between ILI and suicide mortality after 2009, when a novel influenza A(H1N1)pdm09 virus provoked a worldwide pandemic.

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