Evidence map›Paper›PMID 38792676›Full record

ArticleMicroorganisms2024

Surfing the Waves of SARS-CoV-2: Analysis of Viral Genome Variants Using an NGS Survey in Verona, Italy.

Emil Tonon, Riccardo Cecchetto, Erica Diani, Nicoletta Medaina, Giona Turri, Anna Lagni, Virginia Lotti, Davide Gibellini

Abstract read
In one paragraph

Article in Microorganisms, 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. 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.

Emil TononDepartment of Diagnostic and Public Health, Microbiology Section, University of Verona, 37134 Verona, Italy.
Riccardo CecchettoDepartment of Diagnostic and Public Health, Microbiology Section, University of Verona, 37134 Verona, Italy.ORCID 0009-0000-5189-8867
Erica DianiDepartment of Diagnostic and Public Health, Microbiology Section, University of Verona, 37134 Verona, Italy.ORCID 0000-0002-1373-7533
Nicoletta MedainaUOC Microbiology Unit, AOUI Verona, 37134 Verona, Italy.
Giona TurriUOC Microbiology Unit, AOUI Verona, 37134 Verona, Italy.
Anna LagniDepartment of Diagnostic and Public Health, Microbiology Section, University of Verona, 37134 Verona, Italy.ORCID 0009-0005-1044-3109
Virginia LottiDepartment of Diagnostic and Public Health, Microbiology Section, University of Verona, 37134 Verona, Italy.ORCID 0000-0002-5746-3810
Davide GibelliniDepartment of Diagnostic and Public Health, Microbiology Section, University of Verona, 37134 Verona, Italy.

Funding

Fondi DipartimentaliUniversity's extraordinary fund for Open Access publishing
6 · The paper itself

Abstract

The availability of new technologies for deep sequencing, including next-generation sequencing (NGS), allows for the detection of viral genome variations. The epidemiological determination of SARS-CoV-2 viral genome changes during the pandemic waves displayed the genome evolution and subsequent onset of variants over time. These variants were often associated with a different impact on viral transmission and disease severity. We investigated, in a retrospective study, the trend of SARS-CoV-2-positive samples collected from the start of the Italian pandemic (January 2020) to June 2023. In addition, viral RNAs extracted from 938 nasopharyngeal swab samples were analyzed using NGS between February 2022 and June 2023. Sequences were analyzed with bioinformatic tools to identify lineages and mutations and for phylogenetic studies. Six pandemic waves were detected. In our samples, we predominantly detected BA.2, BQ.1, BA.5.1, BA.5.2, and, more recently, XBB.1 and its subvariants. The data describe the SARS-CoV-2 genome evolution involved in viral interactions with the host and the dynamics of specific genome mutations and deletions.

Indexed as

epidemiological surveillancegenome evolutionlineagesNGSSARS-CoV-2variant

Identifiers

PMID38792676
PMCPMC11124265

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.