Evidence map›Paper›PMID 37896792›Full record

ArticleViruses2023

The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020-2022 Period.

Natalia V Palyanova, Ivan A Sobolev, Andrey Yu Palyanov, Olga G Kurskaya, Andrey B Komissarov, Daria M Danilenko, Artem V Fadeev, Alexander M Shestopalov

Abstract read
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In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Natalia V PalyanovaFederal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.ORCID 0000-0002-1783-5798
Ivan A SobolevFederal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.
Andrey Yu PalyanovFederal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.ORCID 0000-0003-1108-1486
Olga G KurskayaFederal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.
Andrey B KomissarovFederal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia.
Daria M DanilenkoFederal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia.ORCID 0000-0001-6174-0836
Artem V FadeevFederal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia.ORCID 0000-0003-3558-3261
Alexander M ShestopalovFederal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The comparison of the development of the SARS-CoV-2 epidemic in several neighboring regions can help researchers to assess the risks and develop more effective strategies and approaches in the field of preventive medicine. We analyzed the infection and mortality statistics for the 2020-2022 period in ten individual regions of the Siberian Federal District of Russia. We also sequenced complete genomes, which allowed us to analyze the genetic diversity of SARS-CoV-2 circulated in each of the ten regions and to build a phylogenetic dendrogram for the virus variants. The ParSeq v.1.0 software was developed to automate and speed up the processing and analysis of viral genomes. At the beginning of the pandemic, in the first two waves, the B.1.1 variant (20B) dominated in all regions of the Siberian Federal District. The third and fourth waves were caused by the Delta variant. Mortality during this period was at a maximum; the incidence was quite high, but the number of deposited genomes with GISAID during this period was extremely low. The maximum incidence was at the beginning of 2022, which corresponds to the arrival of the Omicron variant in the region. The BA.5.2 variant became the dominant one. In addition, by using NextClade, we identified three recombinants in the most densely populated areas.

Indexed as

COVID-19SARS-CoV-2HumansPandemicsPhylogenySiberiaCOVID-19epidemiologyphylogeneticsrecombinantsSARS-CoV-2Siberia

Identifiers

PMID37896792
PMCPMC10612024

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.