Evidence map›Paper›PMID 35913920›Full record

ArticlePloS one2022

Genomic surveillance, evolution and global transmission of SARS-CoV-2 during 2019-2022.

Nadim Sharif, Khalid J Alzahrani, Shamsun Nahar Ahmed, Afsana Khan, Hamsa Jameel Banjer, Fuad M Alzahrani, Anowar Khasru Parvez, Shuvra Kanti Dey

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  13. Modeling COVID-19 Transmission Dynamics: A Bibliometric Review.International journal of environmental research and public health · 2022
    Review
  14. Review
  15. 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.

Nadim SharifDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Khalid J AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.ORCID 0000-0002-6688-0106
Shamsun Nahar AhmedDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Afsana KhanDepartment of Statistics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Hamsa Jameel BanjerDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Fuad M AlzahraniDepartment of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Anowar Khasru ParvezDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Shuvra Kanti DeyDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0002-2440-5673

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In spite of the availability of vaccine, the health burden associated with the COVID-19 pandemic continues to increase. An estimated 5 million people have died with SARS-CoV-2 infection. Analysis of evolution and genomic diversity can provide sufficient information to reduce the health burden of the pandemic. This study focused to conduct worldwide genomic surveillance. About 7.6 million genomic data were analyzed during 2019 to 2022. Multiple sequence alignment was conducted by using maximum likelihood method. Clade GK (52%) was the most predominant followed by GRY (12%), GRA (11%), GR (8%), GH (7%), G (6%), GV (3%), and O (1%), respectively. VOC Delta (66%) was the most prevalent variant followed by VOC Alpha (18%), VOC Omicron (13%), VOC Gamma (2%) and VOC Beta (1%), respectively. The frequency of point mutations including E484K, N501Y, N439K, and L452R at spike protein has increased 10%-92%. Evolutionary rate of the variants was 23.7 substitution per site per year. Substitution mutations E484K and N501Y had significant correlation with cases (r = .45, r = .23), fatalities (r = .15, r = .44) and growth rate R0 (r = .28, r = .54). This study will help to understand the genomic diversity, evolution and the impact of the variants on the outcome of the COVID-19 pandemic.

Indexed as

COVID-19SARS-CoV-2Genome, ViralGenomicsHumansMutationPandemicsSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID35913920
PMCPMC9342790

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.