Cargando…
Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020
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 re...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356403/ https://www.ncbi.nlm.nih.gov/pubmed/32485871 http://dx.doi.org/10.3390/jcm9061641 |
_version_ | 1783558490831192064 |
---|---|
author | Shim, Eunha Mizumoto, Kenji Choi, Wongyeong Chowell, Gerardo |
author_facet | Shim, Eunha Mizumoto, Kenji Choi, Wongyeong Chowell, Gerardo |
author_sort | Shim, Eunha |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7356403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73564032020-07-30 Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020 Shim, Eunha Mizumoto, Kenji Choi, Wongyeong Chowell, Gerardo J Clin Med Article 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. MDPI 2020-05-29 /pmc/articles/PMC7356403/ /pubmed/32485871 http://dx.doi.org/10.3390/jcm9061641 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shim, Eunha Mizumoto, Kenji Choi, Wongyeong Chowell, Gerardo Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020 |
title | Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020 |
title_full | Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020 |
title_fullStr | Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020 |
title_full_unstemmed | Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020 |
title_short | Estimating the Risk of COVID-19 Death during the Course of the Outbreak in Korea, February–May 2020 |
title_sort | estimating the risk of covid-19 death during the course of the outbreak in korea, february–may 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356403/ https://www.ncbi.nlm.nih.gov/pubmed/32485871 http://dx.doi.org/10.3390/jcm9061641 |
work_keys_str_mv | AT shimeunha estimatingtheriskofcovid19deathduringthecourseoftheoutbreakinkoreafebruarymay2020 AT mizumotokenji estimatingtheriskofcovid19deathduringthecourseoftheoutbreakinkoreafebruarymay2020 AT choiwongyeong estimatingtheriskofcovid19deathduringthecourseoftheoutbreakinkoreafebruarymay2020 AT chowellgerardo estimatingtheriskofcovid19deathduringthecourseoftheoutbreakinkoreafebruarymay2020 |