Literature DB >> 32485871

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

Eunha Shim1, Kenji Mizumoto2,3,4, Wongyeong Choi1, Gerardo Chowell2.   

Abstract

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.

Entities:  

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

Year:  2020        PMID: 32485871     DOI: 10.3390/jcm9061641

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  15 in total

1.  Development of Machine-Learning Model to Predict COVID-19 Mortality: Application of Ensemble Model and Regarding Feature Impacts.

Authors:  Seung-Min Baik; Miae Lee; Kyung-Sook Hong; Dong-Jin Park
Journal:  Diagnostics (Basel)       Date:  2022-06-14

2.  A systematic review and meta-analysis of regional risk factors for critical outcomes of COVID-19 during early phase of the pandemic.

Authors:  Hyung-Jun Kim; Hyeontaek Hwang; Hyunsook Hong; Jae-Joon Yim; Jinwoo Lee
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

3.  Early epidemiological assessment of the transmission potential and virulence of coronavirus disease 2019 (COVID-19) in Wuhan City, China, January-February, 2020.

Authors:  Kenji Mizumoto; Katsushi Kagaya; Gerardo Chowell
Journal:  BMC Med       Date:  2020-07-15       Impact factor: 8.775

4.  Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections.

Authors:  Timothy W Russell; Nick Golding; Joel Hellewell; Sam Abbott; Lawrence Wright; Carl A B Pearson; Kevin van Zandvoort; Christopher I Jarvis; Hamish Gibbs; Yang Liu; Rosalind M Eggo; W John Edmunds; Adam J Kucharski
Journal:  BMC Med       Date:  2020-10-22       Impact factor: 8.775

5.  Delay-Adjusted Age-Specific COVID-19 Case Fatality Rates in a High Testing Setting: South Korea, February 2020 to February 2021.

Authors:  Eunha Shim
Journal:  Int J Environ Res Public Health       Date:  2021-05-11       Impact factor: 3.390

6.  Estimating age-specific COVID-19 fatality risk and time to death by comparing population diagnosis and death patterns: Australian data.

Authors:  Ian C Marschner
Journal:  BMC Med Res Methodol       Date:  2021-06-21       Impact factor: 4.615

7.  An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study.

Authors:  Hyung-Jun Kim; Deokjae Han; Jeong-Han Kim; Daehyun Kim; Beomman Ha; Woong Seog; Yeon-Kyeng Lee; Dosang Lim; Sung Ok Hong; Mi-Jin Park; JoonNyung Heo
Journal:  J Med Internet Res       Date:  2020-11-09       Impact factor: 5.428

8.  Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study.

Authors:  Atina Husnayain; Eunha Shim; Anis Fuad; Emily Chia-Yu Su
Journal:  J Med Internet Res       Date:  2020-09-29       Impact factor: 5.428

9.  Simulation of the COVID-19 epidemic on the social network of Slovenia: Estimating the intrinsic forecast uncertainty.

Authors:  Žiga Zaplotnik; Aleksandar Gavrić; Luka Medic
Journal:  PLoS One       Date:  2020-08-27       Impact factor: 3.240

10.  Delay-adjusted age- and sex-specific case fatality rates for COVID-19 in South Korea: Evolution in the estimated risk of mortality throughout the epidemic.

Authors:  A T Newall; R N F Leong; A Nazareno; D J Muscatello; J G Wood; W J Kim
Journal:  Int J Infect Dis       Date:  2020-10-02       Impact factor: 3.623

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