Evidence map›Paper›PMID 41332493›Full record

ArticleJugan geon-gang gwa jilbyeong2023

[The Suspected Coronavirus Disease 2019 Reinfection Cases and Vaccine Effectiveness, The Republic of Korea].

Ji Ae Shim, Eunkyung Park, Ryu Kyung Kim, Kil Hun Lee, Myeong Rok Shin, Donghyok Kwon

Abstract readCase ReportsEnglish Abstract
In one paragraph

Article in Jugan geon-gang gwa jilbyeong, 2023. 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. Article
  2. Article
  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

6 authors.

Ji Ae Shim질병관리청 위기대응분석관 역학조사분석담당관.
Eunkyung Park질병관리청 위기대응분석관 역학조사분석담당관.
Ryu Kyung Kim질병관리청 위기대응분석관 역학조사분석담당관.
Kil Hun Lee질병관리청 위기대응분석관 역학조사분석담당관.
Myeong Rok Shin질병관리청 위기대응분석관 역학조사분석담당관.
Donghyok Kwon질병관리청 위기대응분석관 역학조사분석담당관.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the coronavirus disease 2019 pandemic continues, the suspected reinfection cases are increasing due to the decrease in immune antibodies and immune avoidance reactions to new variants. We analyzed the characteristics of suspected reinfection cases identified by the surveillance system from January 20, 2020 to July 22, 2023. Moreover, we assessed the vaccination history to evaluate vaccine effectiveness. Among the suspected reinfection cases (7.8%), second infected cases were 98.5%, third infected cases were 1.4%, and more than fourth infected cases were 0.02%. Secondary infections almost were in the Omicron waves, especially with members of long-term care facilities during the Omicron variant period (5.9%) higher than the pre-Omicron period (1.6%). The fatality rate of the second infected cases (0.06%) was lower than the fatality rate of the one-time infected cases (0.12%). The critical infection rate of second infected cases aged 60 or older was 0.54% and the fatality rate was 0.29%. Among second infected cases aged 60 or over, the vaccine effectiveness against critical infection compared to unvaccinated was 68.4% for monovalent vaccine, 77.1% for bivalent vaccine, and the vaccine effectiveness against death compared to unvaccinated was 69.7% for the monovalent vaccine, 81.2% for the bivalent vaccine. Therefore, even in the suspected reinfection cases with the history of previous infection, it is necessary to recommend regular vaccinations to prevent severity and death for the elderly group with a high fatality rate.

Indexed as

COVID-19ReinfectionVaccine effectiveness

Identifiers

PMID41332493
PMCPMC12551730

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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.