Cargando…

SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis

BACKGROUND: Non-pharmaceutical interventions (NPIs) have been implemented worldwide to curb COVID-19 spread. Belarus is a rare case of a country with a relatively modern healthcare system, where highly limited NPIs have been enacted. Thus, investigation of Belarusian COVID-19 dynamics is essential f...

Descripción completa

Detalles Bibliográficos
Autores principales: Nemira, Alina, Adeniyi, Ayotomiwa Ezekiel, Gasich, Elena L., Bulda, Kirill Y., Valentovich, Leonid N., Krasko, Anatoly G., Glebova, Olga, Kirpich, Alexander, Skums, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053244/
https://www.ncbi.nlm.nih.gov/pubmed/35602211
http://dx.doi.org/10.1038/s43856-021-00031-1
_version_ 1784696956489039872
author Nemira, Alina
Adeniyi, Ayotomiwa Ezekiel
Gasich, Elena L.
Bulda, Kirill Y.
Valentovich, Leonid N.
Krasko, Anatoly G.
Glebova, Olga
Kirpich, Alexander
Skums, Pavel
author_facet Nemira, Alina
Adeniyi, Ayotomiwa Ezekiel
Gasich, Elena L.
Bulda, Kirill Y.
Valentovich, Leonid N.
Krasko, Anatoly G.
Glebova, Olga
Kirpich, Alexander
Skums, Pavel
author_sort Nemira, Alina
collection PubMed
description BACKGROUND: Non-pharmaceutical interventions (NPIs) have been implemented worldwide to curb COVID-19 spread. Belarus is a rare case of a country with a relatively modern healthcare system, where highly limited NPIs have been enacted. Thus, investigation of Belarusian COVID-19 dynamics is essential for the local and global assessment of the impact of NPI strategies. METHODS: We integrate genomic epidemiology and surveillance methods to investigate the spread of SARS-CoV-2 in Belarus in 2020. We utilize phylodynamics, phylogeography, and probabilistic bias inference to study the virus import and export routes, the dynamics of the effective reproduction number, and the incidence of SARS-CoV-2 infection. RESULTS: Here we show that the estimated cumulative number of infections by June 2020 exceeds the confirmed case number by a factor of ~4 (95% confidence interval (2; 9)). Intra-country SARS-CoV-2 genomic diversity originates from at least 18 introductions from different regions, with a high proportion of regional transmissions. Phylodynamic analysis indicates a moderate reduction of the effective reproductive number after the introduction of limited NPIs, but its magnitude is lower than for developed countries with large-scale NPIs. On the other hand, the effective reproduction number estimate is comparable with that for the neighboring Ukraine, where NPIs were broader. CONCLUSIONS: The example of Belarus demonstrates how countries with relatively low outward population mobility continue to be integral parts of the global epidemiological environment. Comparison of the effective reproduction number dynamics for Belarus and other countries reveals the effect of different NPI strategies but also emphasizes the role of regional Eastern European sociodemographic factors in the virus spread.
format Online
Article
Text
id pubmed-9053244
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-90532442022-05-20 SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis Nemira, Alina Adeniyi, Ayotomiwa Ezekiel Gasich, Elena L. Bulda, Kirill Y. Valentovich, Leonid N. Krasko, Anatoly G. Glebova, Olga Kirpich, Alexander Skums, Pavel Commun Med (Lond) Article BACKGROUND: Non-pharmaceutical interventions (NPIs) have been implemented worldwide to curb COVID-19 spread. Belarus is a rare case of a country with a relatively modern healthcare system, where highly limited NPIs have been enacted. Thus, investigation of Belarusian COVID-19 dynamics is essential for the local and global assessment of the impact of NPI strategies. METHODS: We integrate genomic epidemiology and surveillance methods to investigate the spread of SARS-CoV-2 in Belarus in 2020. We utilize phylodynamics, phylogeography, and probabilistic bias inference to study the virus import and export routes, the dynamics of the effective reproduction number, and the incidence of SARS-CoV-2 infection. RESULTS: Here we show that the estimated cumulative number of infections by June 2020 exceeds the confirmed case number by a factor of ~4 (95% confidence interval (2; 9)). Intra-country SARS-CoV-2 genomic diversity originates from at least 18 introductions from different regions, with a high proportion of regional transmissions. Phylodynamic analysis indicates a moderate reduction of the effective reproductive number after the introduction of limited NPIs, but its magnitude is lower than for developed countries with large-scale NPIs. On the other hand, the effective reproduction number estimate is comparable with that for the neighboring Ukraine, where NPIs were broader. CONCLUSIONS: The example of Belarus demonstrates how countries with relatively low outward population mobility continue to be integral parts of the global epidemiological environment. Comparison of the effective reproduction number dynamics for Belarus and other countries reveals the effect of different NPI strategies but also emphasizes the role of regional Eastern European sociodemographic factors in the virus spread. Nature Publishing Group UK 2021-09-16 /pmc/articles/PMC9053244/ /pubmed/35602211 http://dx.doi.org/10.1038/s43856-021-00031-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Nemira, Alina
Adeniyi, Ayotomiwa Ezekiel
Gasich, Elena L.
Bulda, Kirill Y.
Valentovich, Leonid N.
Krasko, Anatoly G.
Glebova, Olga
Kirpich, Alexander
Skums, Pavel
SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis
title SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis
title_full SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis
title_fullStr SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis
title_full_unstemmed SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis
title_short SARS-CoV-2 transmission dynamics in Belarus in 2020 revealed by genomic and incidence data analysis
title_sort sars-cov-2 transmission dynamics in belarus in 2020 revealed by genomic and incidence data analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053244/
https://www.ncbi.nlm.nih.gov/pubmed/35602211
http://dx.doi.org/10.1038/s43856-021-00031-1
work_keys_str_mv AT nemiraalina sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT adeniyiayotomiwaezekiel sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT gasichelenal sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT buldakirilly sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT valentovichleonidn sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT kraskoanatolyg sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT glebovaolga sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT kirpichalexander sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis
AT skumspavel sarscov2transmissiondynamicsinbelarusin2020revealedbygenomicandincidencedataanalysis