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dc.contributor.authorГолубка, Ольга Станіславівна-
dc.date.accessioned2024-11-22T12:09:50Z-
dc.date.available2024-11-22T12:09:50Z-
dc.date.issued2024-
dc.identifier.otherhttps://doi.org/10.3390/ microbiolres15020065-
dc.identifier.urihttp://lib.inmeds.com.ua:8080/jspui/handle/lib/5009-
dc.description.abstractAbstract The COVID-19 pandemic in Ukraine, from March 2020 to June 2022, witnessed distinct waves, each characterized by an increase in cases and fatalities. Next-generation sequencing has been used to understand the impact of viral variants on the pandemic situation in Ukraine. We analyzed SARS-CoV-2 genome sequencing data to identify viral variants circulating during each wave. By integrating epidemiological information, we established associations between viral variants and disease spread. The adoption of next-generation sequencing for SARS-CoV-2 surveillance in Ukraine, despite limited resources, yielded adequate and trustworthy results, reflecting the pandemic situation. After the Russian military invasion of Ukraine in February 2022, a large number of refugees crossed the border with neighboring countries. Mutation analysis on sequencing data from Ukraine and Poland was used to estimate the exchange of SARS-CoV-2 variants between the countries during this period. Omicron subvariants detected in both countries were similar. The analysis of SARS-CoV-2 sequences from Poland and Ukraine revealed shared nucleotide mutations that can be used to identify the directions of spreading.uk_UK
dc.publisherMicrobiol Researchuk_UK
dc.subjectmutation analysisuk_UK
dc.subjectnext-generation sequencinguk_UK
dc.subjectSARS-CoV-2;uk_UK
dc.titleEtiology of Four waqves of the COVID- 19 Pandemic in Ukraine according to the SARS-CoV-2 Virus Genome Seguencing Data: A Pilot Study Microbiol Researchuk_UK
dc.typeArticleuk_UK
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