Evidence map›Paper›PMID 41333057›Full record

ArticleJugan geon-gang gwa jilbyeong2025

[Characteristics and Trends of Coronavirus Disease 2019 Outbreak in the Republic of Korea (January 20, 2020-August 30, 2023)].

Geehyuk Kim, Boyeong Ryu, Se-Jin Jeong, Sun-Kyung Baek

Abstract readEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. COVID-19 Vaccination Strategy and Evidence in Korea.Journal of Korean medical science · 2026
    Review
  2. Review
  3. Review
  4. Article
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.

Geehyuk Kim질병관리청 질병데이터과학분석관 질병관리연구기획담당관.ORCID https://orcid.org/0000-0002-8336-3741
Boyeong Ryu질병관리청 질병데이터과학분석관 질병관리연구기획담당관.ORCID https://orcid.org/0000-0001-9336-8098
Se-Jin Jeong질병관리청 질병데이터과학분석관 질병관리연구기획담당관.ORCID https://orcid.org/0000-0002-5783-4212
Sun-Kyung Baek질병관리청 질병데이터과학분석관 질병관리연구기획담당관.ORCID https://orcid.org/0009-0006-5862-5013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report analyzes the characteristics of coronavirus disease 2019 (COVID-19) cases collected through mandatory surveillance between January 20, 2020 and August 30, 2023, by age, sex, and region. During the mandatory surveillance period, 34,572,554 cases, 35,605 deaths, and 38,112 severe/critical cases were recorded. The number of COVID-19 cases gradually increased in 2020 and 2021; however, the cases surged, with 82.2% of the pandemic's total cases reported in 2022, after the omicron variant became the dominant strain in January 2022. In March 2022, 9,959,368 cases were reported, accounting for the highest proportion (28.8%) of total cases. Individuals in their 40s (15.1%) and 30s (14.7%) represented the highest proportion of cases during the study period. Annually, the highest proportion of cases in 2020, 2021, 2022, and 2023 were observed among individuals in their 50s, 20s, 40s, and 30s, respectively. Regionally, metropolitan region accounted for 52.1% of the total cases. In non-metropolitan regions, most cases in 2020 were reported in Daegu and Gyeongbuk and increased in Busan, Ulsan, and Gyeongnam thereafter. This report complies with and conveys information on the characteristics of COVID-19 cases reported during the mandatory surveillance period. This report may serve as a reference for future respiratory infectious disease crises.

Indexed as

AgeCOVID-19GeographyIncidenceMandatory surveillance

Identifiers

PMID41333057
PMCPMC12272730

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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.