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The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period
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 i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612024/ https://www.ncbi.nlm.nih.gov/pubmed/37896792 http://dx.doi.org/10.3390/v15102014 |
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author | Palyanova, Natalia V. Sobolev, Ivan A. Palyanov, Andrey Yu. Kurskaya, Olga G. Komissarov, Andrey B. Danilenko, Daria M. Fadeev, Artem V. Shestopalov, Alexander M. |
author_facet | Palyanova, Natalia V. Sobolev, Ivan A. Palyanov, Andrey Yu. Kurskaya, Olga G. Komissarov, Andrey B. Danilenko, Daria M. Fadeev, Artem V. Shestopalov, Alexander M. |
author_sort | Palyanova, Natalia V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10612024 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106120242023-10-29 The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period Palyanova, Natalia V. Sobolev, Ivan A. Palyanov, Andrey Yu. Kurskaya, Olga G. Komissarov, Andrey B. Danilenko, Daria M. Fadeev, Artem V. Shestopalov, Alexander M. Viruses Article 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. MDPI 2023-09-27 /pmc/articles/PMC10612024/ /pubmed/37896792 http://dx.doi.org/10.3390/v15102014 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Palyanova, Natalia V. Sobolev, Ivan A. Palyanov, Andrey Yu. Kurskaya, Olga G. Komissarov, Andrey B. Danilenko, Daria M. Fadeev, Artem V. Shestopalov, Alexander M. The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period |
title | The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period |
title_full | The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period |
title_fullStr | The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period |
title_full_unstemmed | The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period |
title_short | The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020–2022 Period |
title_sort | development of the sars-cov-2 epidemic in different regions of siberia in the 2020–2022 period |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612024/ https://www.ncbi.nlm.nih.gov/pubmed/37896792 http://dx.doi.org/10.3390/v15102014 |
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