scholarly journals Hospital-Based Surveillance of Infection-Related Mortality in South Korea

2009 ◽  
Vol 124 (6) ◽  
pp. 883-888
Author(s):  
Jun Yong Choi ◽  
Hee-Jin Cheong ◽  
Byung Chul Chun ◽  
Hye Kyung Park ◽  
Han Sung Lee ◽  
...  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Jinsoo Min ◽  
Ju Sang Kim ◽  
Hyung Woo Kim ◽  
Ah Young Shin ◽  
Hyeon-Kyoung Koo ◽  
...  

2020 ◽  
Vol 25 (suppl 1) ◽  
pp. 2403-2410
Author(s):  
Pedro Curi Hallal

Abstract Mortality statistics due to COVID-19 worldwide are compared, by adjusting for the size of the population and the stage of the pandemic. Data from the European Centre for Disease Control and Prevention, and Our World in Data websites were used. Analyses are based on number of deaths per one million inhabitants. In order to account for the stage of the pandemic, the baseline date was defined as the day in which the 10th death was reported. The analyses included 78 countries and territories which reported 10 or more deaths by April 9. On day 10, India had 0.06 deaths per million, Belgium had 30.46 and San Marino 618.78. On day 20, India had 0.27 deaths per million, China had 0.71 and Spain 139.62. On day 30, four Asian countries had the lowest mortality figures, whereas eight European countries had the highest ones. In Italy and Spain, mortality on day 40 was greater than 250 per million, whereas in China and South Korea, mortality was below 4 per million. Mortality on day 10 was moderately correlated with life expectancy, but not with population density. Asian countries presented much lower mortality figures as compared to European ones. Life expectancy was found to be correlated with mortality.


Epidemiology ◽  
2007 ◽  
Vol 18 (Suppl) ◽  
pp. S110
Author(s):  
J Ha ◽  
J Park ◽  
H Kim

Author(s):  
Cinoo Kang ◽  
Chaerin Park ◽  
Whanhee Lee ◽  
Nazife Pehlivan ◽  
Munjeong Choi ◽  
...  

Studies on the pattern of heatwave mortality using nationwide data that include rural areas are limited. This study aimed to assess the risk of heatwave-related mortality and evaluate the health risk-based definition of heatwave. We collected data on daily temperature and mortality from 229 districts in South Korea in 2011–2017. District-specific heatwave-related mortality risks were calculated using a distributed lag model. The estimates were pooled in the total areas and for each urban and rural area using meta-regression. In the total areas, the threshold point of heatwave mortality risk was estimated at the 93rd percentile of temperature, and it was lower in urban areas than in rural areas (92nd percentile vs. 95th percentile). The maximum risk of heatwave-related mortality in the total area was 1.11 (95% CI: 1.01–1.22), and it was slightly greater in rural areas than in the urban areas (RR: 1.23, 95% CI: 0.99–1.53 vs. RR: 1.10, 95% CI: 1.01–1.20). The results differ by age- and cause-specific deaths. In conclusion, the patterns of heatwave-related mortality risk vary by area and sub-population in Korea. Thus, more target-specific heatwave definitions and action plans should be established according to different areas and populations.


2006 ◽  
Vol 74 (3) ◽  
pp. 295-300 ◽  
Author(s):  
Young Ju Choi ◽  
Young Min Cho ◽  
Chul Ku Park ◽  
Hak Chul Jang ◽  
Kyong Soo Park ◽  
...  

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