Evidence map›Paper›PMID 39916430›Full record

ArticleOsong public health and research perspectives2025

Characteristics and trends of severe/critical COVID-19 cases in the Republic of Korea (January 2020 to August 2023).

Se-Jin Jeong, Shin Young Park, Boyeong Ryu, Misuk An, Jin-Hwan Jeon, So Young Choi, Seong-Sun Kim

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

7 authors.

Se-Jin JeongDivision of Disease Control Research Planning, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Shin Young ParkDivision of Disease Surveillance Strategy, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Boyeong RyuDivision of Disease Control Research Planning, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Misuk AnDivision of Disease Control Research Planning, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Jin-Hwan JeonDivision of Disease Control Capacity Building, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
So Young ChoiDivision of Quarantine Policy, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Seong-Sun KimDivision of Epidemiological Data Analysis, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe analyzed the demographic and clinical characteristics of patients diagnosed with coronavirus disease 2019 (COVID-19), focusing specifically on severe/critical cases, and assessed the trends and rates of severity and fatality among these patients in the Republic of Korea.

methodsClinical data on patients with COVID-19 from January 20, 2020 to August 30, 2023 were collected from the Korea Disease Control and Prevention Agency's database. We identified patients who progressed to severe/critical conditions and analyzed their demographic and clinical profiles. Severity and fatality rates were calculated and compared annually to track the disease progression over time.

resultsDuring the surveillance period, 34,572,554 COVID-19 cases were confirmed, among whom 38,112 (0.11%) progressed to severe/critical conditions. Most severe/critical cases occurred in individuals aged ≥60 years, with a notable increase in patients aged ≥80 years from 2022. The overall severity rate was 0.19%, with a fatality rate of 0.10%. However, the severity of cases gradually diminished during the study period. In 2022, the severity and fatality rates decreased to 0.14% and 0.09%, respectively. In 2023, while the severity rate remained stable at 0.15%, the fatality rate further decreased to 0.06%. Notably, throughout the study period, individuals aged ≥80 years had a significantly higher severity rate (2.44%), with a fatality rate of 1.75%.

conclusionThese findings underscore the importance of prioritizing protection and management strategies for older adults and high-risk groups to mitigate the impact of COVID-19. Continued surveillance and analysis are essential to effectively control COVID-19 and minimize its burden on public health.

Indexed as

COVID-19Fatality rateSevere/critical casesSeverity rate

Identifiers

PMID39916430
PMCPMC11917381

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LicenceCC BY-NC-ND
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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.