Research output: Contribution to journal › Article › peer-review
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 et al.
In: Viruses, Vol. 15, No. 10, 2014, 27.09.2023.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - The Development of the SARS-CoV-2 Epidemic in Different Regions of Siberia in the 2020-2022 Period
AU - Palyanova, Natalia V
AU - Sobolev, Ivan A
AU - Palyanov, Andrey Yu
AU - Kurskaya, Olga G
AU - Komissarov, Andrey B
AU - Danilenko, Daria M
AU - Fadeev, Artem V
AU - Shestopalov, Alexander M
N1 - This research was funded by RSF, grant number 23-64-00005.
PY - 2023/9/27
Y1 - 2023/9/27
N2 - 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.
AB - 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.
KW - Humans
KW - Siberia/epidemiology
KW - SARS-CoV-2/genetics
KW - Phylogeny
KW - COVID-19/epidemiology
KW - Pandemics
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85175202785&origin=inward&txGid=5444546cac673bda084179c4fa93c8e6
U2 - 10.3390/v15102014
DO - 10.3390/v15102014
M3 - Article
C2 - 37896792
VL - 15
JO - Viruses
JF - Viruses
SN - 1999-4915
IS - 10
M1 - 2014
ER -
ID: 57536599