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


Journal

Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722

Informations de publication

Date de publication:
27 09 2023
Historique:
received: 11 08 2023
revised: 08 09 2023
accepted: 15 09 2023
medline: 30 10 2023
pubmed: 28 10 2023
entrez: 28 10 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37896792
pii: v15102014
doi: 10.3390/v15102014
pmc: PMC10612024
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Natalia V Palyanova (NV)

Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.

Ivan A Sobolev (IA)

Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.

Andrey Yu Palyanov (AY)

Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.
A.P. Ershov Institute of Informatics Systems, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia.
Department of Mathematics and Mechanics, Novosibirsk State University, 630090 Novosibirsk, Russia.

Olga G Kurskaya (OG)

Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.

Andrey B Komissarov (AB)

Federal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia.

Daria M Danilenko (DM)

Federal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia.

Artem V Fadeev (AV)

Federal Budgetary Institution «Smorodintsev Research Institute of Influenza», 197376 St. Petersburg, Russia.

Alexander M Shestopalov (AM)

Federal Research Center of Fundamental and Translational Medicine, 630117 Novosibirsk, Russia.

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Classifications MeSH