Evidence map›Paper›PMID 32485871›Full record

ArticleJournal of clinical medicine2020

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

Eunha Shim, Kenji Mizumoto, Wongyeong Choi, Gerardo Chowell

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Analyzing the Use of Medicinal Herbs During the First Wave and Second Wave of COVID-19.Proceedings of the National Academy of Sciences, India. Section B · 2022
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  17. Regional Variability in COVID-19 Case Fatality Rate in Canada, February-December 2020.International journal of environmental research and public health · 2021
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  18. 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.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Eunha ShimDepartment of Mathematics, Soongsil University, Seoul 06978, Korea.
Kenji MizumotoDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA.
Wongyeong ChoiDepartment of Mathematics, Soongsil University, Seoul 06978, Korea.
Gerardo ChowellDepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA 30303, USA.

Funding

Japan Society for the Promotion of Science 15K20936joint NSF-NIH-USDA Ecology and Evolution of Infectious Diseases program 1414374Leading Initiative for Excellent Young Researchers from the Ministry of Education, Culture, Sport, Science & Technology of Japan noneNational Research Foundation of Korea 2018R1C1B6001723Program for Advancing Strategic International Networks to Accelerate the Circulation of Talented Researchers G2801UK Biotechnology and Biological Sciences Research Council grant BB/M008894/1
6 · The paper itself

Abstract

backgroundIn 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.

methodsWe 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.

resultsOur 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%).

conclusionsThe 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.

Indexed as

case fatality riskCoronavirusCOVID-19deathsfatalityKorea

Identifiers

PMID32485871
PMCPMC7356403

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.