Evidence map›Paper›PMID 38737246›Full record

ArticleHeliyon2024

Molecular evolutionary characteristics of severe acute respiratory syndrome coronavirus 2 and the relatedness of epidemiological and socio-environmental factors.

Kyuyoung Shim, Eun-Ha Hwang, Green Kim, Young Min Woo, You Jung An, Seung Ho Baek, Taehwan Oh, Yujin Kim, Kiwon Jang, Jung Joo Hong and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. Machine Learning in Nonhuman Primate Models of Infectious Diseases: Current Applications and Future Perspectives.Journal of the American Association for Laboratory Animal Science : JAALAS · 2026
    Review
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.

Kyuyoung ShimNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Eun-Ha HwangNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Green KimNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Young Min WooNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
You Jung AnNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Seung Ho BaekNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Taehwan OhNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Yujin KimNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Kiwon JangKorea Bioinformation Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Republic of Korea.
Jung Joo HongNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.
Bon-Sang KooNational Primate Research Center, Korea Research Institute of Bioscience and Biotechnology, Cheongju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After the first outbreak, SARS-CoV-2 infection continues to occur due to the emergence of new variants. There is limited information available on the comparative evaluation of evolutionary characteristics of SARS-CoV-2 among different countries over time, and its relatedness to epidemiological and socio-environmental factors within those countries. We assessed comparative Bayesian evolutionary characteristics for SARS-CoV-2 in eight countries from 2020 to 2022 using BEAST version 2.6.7. Additionally, the relatedness between virus evolution factors and both epidemiological and socio-environmental factors was analyzed using Pearson's correlation coefficient. The estimated substitution rates in the gene encoding S protein of SARS-CoV-2 exhibited a continuous increase from 2020 to 2022 and were divided into two distinct groups in 2022 (

Indexed as

Bayesian evolutionary analysisEpidemiological triadSARS-CoV-2Sequence analysisSocio-environmental factors

Identifiers

PMID38737246
PMCPMC11088249

What OpenQuestion holds

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LicenceCC BY-NC
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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.