Evidence map›Paper›PMID 36328242›Full record

ArticleOsong public health and research perspectives2022

Presumed population immunity to SARS-CoV-2 in South Korea, April 2022.

Eun Jung Jang, Young June Choe, Seung Ah Choe, Yoo-Yeon Kim, Ryu Kyung Kim, Jia Kim, Do Sang Lim, Ju Hee Lee, Seonju Yi, Sangwon Lee and 1 more

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Eun Jung JangKorea Disease Control and Prevention Agency, Cheongju, Korea.
Young June ChoeDepartment of Pediatrics, Korea University Anam Hospital, Seoul, Korea.
Seung Ah ChoeDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.
Yoo-Yeon KimKorea Disease Control and Prevention Agency, Cheongju, Korea.
Ryu Kyung KimKorea Disease Control and Prevention Agency, Cheongju, Korea.
Jia KimKorea Disease Control and Prevention Agency, Cheongju, Korea.
Do Sang LimKorea Disease Control and Prevention Agency, Cheongju, Korea.
Ju Hee LeeKorea Disease Control and Prevention Agency, Cheongju, Korea.
Seonju YiKorea Disease Control and Prevention Agency, Cheongju, Korea.
Sangwon LeeKorea Disease Control and Prevention Agency, Cheongju, Korea.
Young-Joon ParkKorea Disease Control and Prevention Agency, Cheongju, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe estimated the overall and age-specific percentages of the Korean population with presumed immunity against severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) as of April 2022 using the national registry.

methodsWe used the national coronavirus disease 2019 (COVID-19) infection and vaccination registry from South Korea, as described to define individuals with a previous history of COVID-19 infection, vaccination, or both, as persons with presumed immunity.

resultsOf a total of 53,304,627 observed persons, 24.4% had vaccination and infection, 58.1% had vaccination and no infection, 7.6% had infection and no vaccination, and 9.9% had no immunity. The SARS-CoV-2 Omicron variant emerged at a time when the presumed population immunity ranged from 80% to 85%; however, nearly half of the children were presumed to have no immunity.

conclusionWe report a gap in population immunity, with lower presumed protection in children than in adults. The approach presented in this work can provide valuable informed tools to assist vaccine policy-making at a national level.

Indexed as

COVID-19ImmunityPopulationSARS-CoV-2Vaccines

Identifiers

PMID36328242
PMCPMC9633270

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.