Evidence map›Paper›PMID 38527778›Full record

ArticleInfection & chemotherapy2024

Risk of Severe Acute Respiratory Syndrome Coronavirus 2 Transmission in Seoul, Korea.

Jiwoo Sim, Euncheol Son, Minsu Kwon, Eun Jin Hwang, Young Hwa Lee, Young June Choe

Abstract read
In one paragraph

Article in Infection & chemotherapy, 2024. 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. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jiwoo Sim *Seoul Metropolitan Government, Seoul, Korea.ORCID https://orcid.org/0000-0001-8213-6160
Euncheol Son *Department of Pharmacology, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-5288-1490
Minsu KwonDepartment of Otorhinolaryngology, Asan Medical Center and College of Medicine, University of Ulsan, Seoul, Korea.ORCID https://orcid.org/0000-0003-0772-0708
Eun Jin HwangLablup Inc., Seoul, Korea.ORCID https://orcid.org/0000-0002-0420-3783
Young Hwa LeeAllergy Immunology Center, Korea University, Seoul, Korea.ORCID https://orcid.org/0000-0003-2073-993X
Young June ChoeDepartment of Pediatrics, Korea University Anam Hospital and Korea University College of Medicine, Seoul, Korea. choey@korea.ac.kr.ORCID https://orcid.org/0000-0003-2733-0715

Funding

Korea University Anam Hospital O2207701National IT Industry Promotion Agency the Ministry of Science and ICTNational IT Industry Promotion Agencythe Ministry of Science and ICT
6 · The paper itself

Abstract

backgroundThe risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission during the endemic phase may vary from that during the previous pandemic phase. We evaluated the risk of infection in a general population with laboratory-confirmed coronavirus disease 2019 (COVID-19) in a community setting in Korea. MATERIALS AND

methodsThis study included 1,286 individuals who had been in contact with an index COVID-19 case between January 24, 2020, and June 30, 2022. Variables such as age, sex, nationality, place of contact, level of contact, the status of exposed cases, period, and level of mask-wearing were assessed.

resultsAmong 1,286 participants, 132 (10.30%) were confirmed to have COVID-19. With increasing age, the risk of the exposed persons contracting COVID-19 from index cases tended to increase (

conclusionThe risk of COVID-19 transmission is high in long-term care facilities where many older adults reside. Intensive management of facilities at risk of infection and strict mask-wearing of confirmed COVID-19 cases are necessary to prevent the risk of COVID-19 infection.

Indexed as

Contact tracingCOVID-19MasksPhysical distancing

Identifiers

PMID38527778
PMCPMC11224030

What OpenQuestion holds

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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.