Evidence map›Paper›PMID 34948504›Full record

ArticleInternational journal of environmental research and public health2021

Analysis of Superspreading Potential from Transmission Clusters of COVID-19 in South Korea.

Hyojung Lee, Changyong Han, Jooyi Jung, Sunmi Lee

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evolution of Responses to COVID-19 and Epidemiological Characteristics in South Korea.International journal of environmental research and public health · 2022
    Article
  8. Investigation of outbreak cases infected with the SARS-CoV-2 B.1.640 variant in a fully vaccinated elderly population, Normandy, France, November to December 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    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.

Hyojung LeeDepartment of Statistics, Kyungpook National University, Daegu 41566, Korea.ORCID 0000-0001-9880-3044
Changyong HanDepartment of Applied Mathematics, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0002-1491-2575
Jooyi JungDepartment of Biostatistics, Korea University, Seoul 02841, Korea.ORCID 0000-0001-5312-5446
Sunmi LeeDepartment of Applied Mathematics, Kyung Hee University, Yongin 17104, Korea.ORCID 0000-0003-1126-0660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has been spreading worldwide with more than 246 million confirmed cases and 5 million deaths across more than 200 countries as of October 2021. There have been multiple disease clusters, and transmission in South Korea continues. We aim to analyze COVID-19 clusters in Seoul from 4 March to 4 December 2020. A branching process model is employed to investigate the strength and heterogeneity of cluster-induced transmissions. We estimate the cluster-specific effective reproduction number Reff and the dispersion parameter κ using a maximum likelihood method. We also compute Rm as the mean secondary daily cases during the infection period with a cluster size

Indexed as

COVID-19Disease OutbreaksHumansPandemicsRepublic of KoreaSARS-CoV-2cluster-induced transmissionscluster-specific reproduction numberCOVID-19SARS-CoV-2statistical modelsuperspreading events

Identifiers

PMID34948504
PMCPMC8701974

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.