Evidence map›Paper›PMID 34409009›Full record

ArticleFrontiers in public health2021

The Emergence and Spread of Novel SARS-CoV-2 Variants.

Huaimin Yi, Jin Wang, Jiong Wang, Yuying Lu, Yali Zhang, Ruihao Peng, Jiahai Lu, Zeliang Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 10% of its field
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

21 citing papers in PubMed, 33 citations in OpenAlex.

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  16. Article
  17. Rapid and Accurate Identification of SARS-CoV-2 Variants Using Real Time PCR Assays.Frontiers in cellular and infection microbiology · 2022
    Article
  18. Review
  19. Heterologous immunity induced by 1Frontiers in immunology · 2022
    Review
  20. 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

8 authors at 2 institutions in 1 country.

Huaimin YiNMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jin WangNMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jiong WangSchool of Public Health, Southern Medical University, Guangzhou, China.
Yuying LuNMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Yali ZhangNMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Ruihao PengNMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Jiahai LuNMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zeliang ChenNMPA Key Laboratory for Quality Monitoring and Evaluation of Vaccines and Biological Products, One Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNShenyang Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) began to spread in late 2019, laboratories around the world have widely used whole genome sequencing (WGS) to continuously monitor the changes in the viral genes and discovered multiple subtypes or branches evolved from SARS-CoV-2. Recently, several novel SARS-CoV-2 variants have been found to be more transmissible. They may affect the immune response caused by vaccines and natural infections and reduce the sensitivity to neutralizing antibodies. We analyze the distribution characteristics of prevalent SARS-CoV-2 variants and the frequency of mutant sites based on the data available from GISAID and PANGO by R 4.0.2 and ArcGIS 10.2. Our analysis suggests that B.1.1.7, B.1.351, and P.1 are more easily spreading than other variants, and the key mutations of S protein, including N501Y, E484K, and K417N/T, have high mutant frequencies, which may have become the main genotypes for the spread of SARS-CoV-2.

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHumansSpike Glycoprotein, CoronavirusAntibodies, ViralSpike Glycoprotein, CoronaviruscharacteristicsepidemiologymutationsSARS-CoV-2spike proteinvariants

Identifiers

PMID34409009
PMCPMC8364952
OpenAlexW3188307511

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.