4.7 Article

Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February-May 2020

期刊

JOURNAL OF CLINICAL MEDICINE
卷 9, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/jcm9061641

关键词

Coronavirus; COVID-19; Korea; fatality; deaths; case fatality risk

资金

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [2018R1C1B6001723]
  2. Japan Society for the Promotion of Science (JSPS) KAKENHI [15K20936]
  3. Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers [G2801]
  4. Leading Initiative for Excellent Young Researchers from the Ministry of Education, Culture, Sport, Science and Technology of Japan
  5. NSF as part of the joint NSF-NIH-USDA Ecology and Evolution of Infectious Diseases program [1414374]
  6. UK Biotechnology and Biological Sciences Research Council [BB/M008894/1]

向作者/读者索取更多资源

Background: In Korea, a total of 10,840 confirmed cases of COVID-19 including 256 deaths have been recorded as of May 9, 2020. The time-delay adjusted case fatality risk (CFR) of COVID-19 in Korea is yet to be estimated. Methods: We obtained the daily series of confirmed cases and deaths in Korea reported prior to May 9, 2020. Using statistical methods, we estimated the time-delay adjusted risk for death from COVID-19 in Daegu, Gyeongsangbuk-do, other regions in Korea, as well as the entire country. Results: Our model-based crude CFR fitted the observed data well throughout the course of the epidemic except for the very early stage in Gyeongsangbuk-do; this was partially due to the reporting delay. Our estimates of the risk of death in Gyeongsangbuk-do reached 25.9% (95% Credible Interval (CrI): 19.6%-33.6%), 20.8% (95% CrI: 18.1%-24.0%) in Daegu, and 1.7% (95% CrI: 1.1%-2.5%) in other regions, whereas the national estimate was 10.2% (95% CrI: 9.0%-11.5%). Conclusions: The latest estimates of CFR of COVID-19 in Korea are considerably high, even with the early implementation of public health interventions including widespread testing, social distancing, and delayed school openings. Geographic differences in the CFR are likely influenced by clusters tied to hospitals and nursing homes.

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