Characteristic of herd immunity among the population of Stavropol region amid the COVID-19 epidemic

Popova, А. Yu.; Ежлова, Е. Б.; Мельникова, А. А.; Смирнов, В. С.; Lyalina, L. V.; Ермаков, А. В.; Соломащенко, Н. И.; Ковальчук, И. В.; Vasilenko, E.; Романенко, Е. Н.; Zvoliborskaya, A. V.; Ryabykh, A. V.; Dmitrienko, L. I.; Mezhlumyan, N. A.; Sharova, A. A.; Ветров, В. В.; Тотолян, Арег А.

doi:10.22625/2072-6732-2021-13-4-79-89

Cited by 4 publications

(5 citation statements)

References 25 publications

(6 reference statements)

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“…According to our data, the importations of SARS-CoV-2 into Novosibirsk were not from China, but from Moscow, St. Petersburg, Yakutia (the northern region of Russia), as well as from Thailand and Spain. Similar results have been obtained for other Russian regions [10,11,[19][20][21][22].…”

Section: Discussionsupporting

confidence: 88%

“…The incidence structure in the first wave was also similar in Novosibirsk, Moscow [21], and Lipetsk [22]. The largest number of cases corresponded to the largest group, however, when normalized by the number of tests, it is revealed that the incidence in the group of 65 years and older exceeded the incidence rate in the other population groups.…”

Section: Discussionmentioning

confidence: 66%

“…According to world data [23], the first epidemic wave did not proceed in the same way in the different countries and cities [1,2,8,10,13,[19][20][21][22][23][24][25][26][27]. The number of cases in China, Korea, Germany, and Russia was highest in the age group between 20 and 59 years and smallest in children (aged 0-9 years).…”

Section: Discussionmentioning

confidence: 99%

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Genomic and Epidemiological Features of COVID-19 in the Novosibirsk Region during the Beginning of the Pandemic

Palyanova

Sobolev

Alekseev

et al. 2022

Viruses

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In this retrospective, single-center study, we conducted an analysis of 13,699 samples from different individuals obtained from the Federal Research Center of Fundamental and Translational Medicine, from 1 April to 30 May 2020 in Novosibirsk region (population 2.8 million people). We identified 6.49% positive for SARS-CoV-2 cases out of the total number of diagnostic tests, and 42% of them were from asymptomatic people. We also detected two asymptomatic people, who had no confirmed contact with patients with COVID-19. The highest percentage of positive samples was observed in the 80+ group (16.3%), while among the children and adults it did not exceed 8%. Among all the people tested, 2423 came from a total of 80 different destinations and only 27 of them were positive for SARS-CoV-2. Out of all the positive samples, 15 were taken for SARS-CoV-2 sequencing. According to the analysis of the genome sequences, the SARS-CoV-2 variants isolated in the Novosibirsk region at the beginning of the pandemic belonged to three phylogenetic lineages according to the Pangolin classification: B.1, B.1.1, and B.1.1.129. All Novosibirsk isolates contained the D614G substitution in the Spike protein, two isolates werecharacterized by an additional M153T mutation, and one isolate wascharacterized by the L5F mutation.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 66%

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Genomic and Epidemiological Features of COVID-19 in the Novosibirsk Region during the Beginning of the Pandemic

Palyanova

Sobolev

Alekseev

et al. 2022

Viruses

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“…The spread of the infection is influenced by important parameters of the region such as the age structure, the population density and size, transport links with other regions and countries, cultural characteristics, access to medical care and environmental factors [ 10 , 11 , 12 ]. A retrospective analysis of the incidence and herd immunity in Russia [ 6 , 13 , 14 ] helps to evaluate the effectiveness of restrictive measures to plan future activities aimed at containing epidemics of acute respiratory infections with pandemic potential [ 12 ]. Even with a low mortality, the main problem is the high burden on healthcare systems.…”

Section: Introductionmentioning

confidence: 99%

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

Palyanova,

Sobolev,

Palyanov

et al. 2023

Viruses

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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.

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“…Развивающаяся пандемия COVID-19 полагает необходимость формирования и поддержания коллективного иммунитета к SARS-CoV-2 [1,2,4,7,8,9,14]. Эпидемическая ситуация сегодняшнего дня, определяемая новыми штаммами вируса, все более частая регистрация фактов повторного инфицирования у лиц, перенесших COVID-19 ранее, актуализирует проблему вакцинации переболевших.…”

Section: Introductionunclassified

Mechanisms of formation of hybrid immunity in people who recovered from COVID-19 and were vaccinated with SARS-CoV-2 peptide antigens

et al. 2022

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The relevance of the current epidemic situation of a new coronavirus infection is determined by new strains of the virus and the registration of cases of re-infection in COVID-19 survivors earlier. In this regard, the questions about the expediency and nature of vaccination of those who have been ill attract close attention, moreover it has affected the formation of the concept of “hybrid immunity”. The aim of this study was to analyze changes in the parameters of the immune system, reflecting their regulatory and functional potential, in response to the introduction of the peptide vaccine EpiVacCorona to persons who have suffered from the new coronavirus infection. To study the features of the formation of hybrid immunity, a retrospective analysis of the observation of 43 study participants was carried out. The inclusion criteria were data confirming COVID-19 in mild and moderate forms of the course in the period from six months to a year ago, a low level or absence of antibodies to the nucleocapsid protein SARS-CoV-2, a negative PCR result for the presence of the SARS-CoV-2 virus, the absence of comorbid pathology. The subpopulation composition, regulatory and functional potential of the immune system were determined by flow cytofluorimetry using a set of monoclonal antibodies corresponding to the goals. 21 days after the administration of a single dose of EpiVacCorona, antibodies to the vaccine peptide antigens were registered in all study participants at the highest coefficient of positivity values for the SARS-CoV-2-IgG-Vector test system used. In addition, there was a fourfold increase in the number of specific IgG to the N protein. A specific immune response to recombinant SARS-CoV-2 antigens was accompanied by a decrease in the circulation of the number of monocytes expressing TLR4, T helper cells expressing the interaction coreceptor with antigen-presenting cells, unconnected B memory with an increase in the number of B lymphocytes expressing the CD40 T-B coreceptor interaction molecule. The remaining differences in the functioning of the immune system identified in patients with COVID-19 before the vaccination in comparison with the control data have not changed. The differences consist in a decrease in the proportion of monocytes expressing HLA-DR, an increase in the expression of interaction molecules on T and B lymphocytes, an increase in the number of Treg, B1 cells, activated B lymphocytes with a decrease in the proportion of suppressor Breg and B memory. The totality of the presented data demonstrates that the COVID-19 infection that preceded vaccination in mild and moderate clinical course contributes to the formation of immunological memory, which made it possible to form a secondary immune response even to a single injection of peptide antigens of the virus.

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Characteristic of herd immunity among the population of Stavropol region amid the COVID-19 epidemic

Cited by 4 publications

References 25 publications

Genomic and Epidemiological Features of COVID-19 in the Novosibirsk Region during the Beginning of the Pandemic

Genomic and Epidemiological Features of COVID-19 in the Novosibirsk Region during the Beginning of the Pandemic

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

Mechanisms of formation of hybrid immunity in people who recovered from COVID-19 and were vaccinated with SARS-CoV-2 peptide antigens

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