Svetlana Ugleva

Prof. Svetlana Ugleva

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 July 2022 in Journal of microbiology, epidemiology and immunobiology
Verified
Journal Article
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VAVasily G Akimkin
Vasily G Akimkin
APA. Yu. Popova
A. Yu. Popova
APA. A. Ploskireva
A. A. Ploskireva
SUSvetlana Ugleva
Svetlana Ugleva
TSTatiana A. Semenenko
Tatiana A. Semenenko
AMA. A. Muradova
A. A. Muradova
Background. The ongoing pandemic of a new coronavirus infection (COVID-19) determines the relevance of the analysis of epidemiological patterns of SARS-CoV-2 spread among the population of the Russian Federation.Aim — study of the manifestations of the epidemic process of COVID-19 in the Russian Federation in 2020–2022.Materials and methods. A retrospective epidemiological analysis of the incidence of COVID-19 in the Russian Federation was carried out from 03/30/2020 to 04/24/2022. The data from the Rospotrebnadzor report No. 970 “Information on cases of infectious diseases in persons with suspected new coronavirus infection”, information portal Stopcoronavirus.rf, etc. were used. The presence of SARS-CoV-2 RNA was confirmed by real-time RT-PCR.Results and discussion. The analysis of the manifestations of the epidemic process of COVID-19 in the Russian Federation in 2020–2022 showed the presence of two stages which differed depending on the influence of the biological factor and the ongoing anti-epidemic measures. There was a pronounced trend in the development of the epidemic process, starting from megacities (Moscow, Moscow region and St. Petersburg), which are major transport hubs and centers of migration activity of the population, to the regions of the Russian Federation. The SARS-CoV-2 pathogenicity has been shown to decrease with each subsequent cycle of the rise in the incidence of COVID-19 against the background of the increased contagiousness of the virus.Conclusion. As a result of the study, risk areas (megacities) and risk groups were identified.
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24 September 2022 in Journal of microbiology, epidemiology and immunobiology
Verified
Journal Article
Open access
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VAVasily G Akimkin
Vasily G Akimkin
APA. Yu. Popova
A. Yu. Popova
Kamil F KhafizovKamil F Khafizov
Kamil F Khafizov
DDD. V. Dubodelov
D. V. Dubodelov
SUSvetlana Ugleva
Svetlana Ugleva
ЮСЮ. П. Скрябин
Ю. П. Скрябин
Background. The ongoing pandemic of the novel coronavirus infection (COVID-19) draws attention to the significance of molecular and genetic monitoring of the SARS-CoV-2 spread among the population of the Russian Federation. The aim of the study was to analyze the dynamics of circulation of SARS-CoV-2 genetic variants in Russia.Materials and methods. The analysis of the circulation dynamics for SARS-CoV-2 genetic variants in Russia was carried out, covering the period from 28/12/2020 to 26/6/2022. The analysis included the data from Rospotrebnadzor Report No. 970 "Information about Infectious Diseases in Individuals with Suspected Novel Coronavirus Infection" and the Virus Genome Aggregator of Russia (VGARus). The presence of SARS-CoV-2 RNA was confirmed by the real-time reverse transcription polymerase chain reaction. The primer panels developed at the Central Research Institute of Epidemiology were used for amplification of genomic fragments and the subsequent sequencing.Results and discussion. Using the Russian VGARus platform developed by the Central Research Institute of Epidemiology, we received the data on mutational variability of SARS-CoV-2. By monitoring the circulation of SARS-CoV-2 genetic variants in Russia from 28/12/2020 to 26/6/2022, we found that Delta and Omicron genetic variants prevailed at different stages of the epidemic.Conclusion. The data of molecular and genetic studies are an essential component of epidemiological surveillance, being critically important for making executive decisions aimed at prevention of further spread of SARS-CoV-2 and laying the groundwork for creating new vaccines.
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14 November 2022 in Annals of the Russian academy of medical sciences
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VAVasily G Akimkin
Vasily G Akimkin
TSTatiana A. Semenenko
Tatiana A. Semenenko
SUSvetlana Ugleva
Svetlana Ugleva
DDDmitry V. Dubodelov
Dmitry V. Dubodelov
SKStanislav N. Kuzin
Stanislav N. Kuzin
NSNino Kh. Svanadze
Nino Kh. Svanadze
Background. The COVID-19 pandemic has exposed health problems, but at the same time has become a powerful impetus for the development of new scientific research in the field of epidemiology, clinic of infectious diseases, diagnostics, bioinformatics and digital methods. On the basis of the Central Research Institute of Epidemiology of Rospotrebnadzor, new unique test systems for the detection of SARS-CoV-2 RNA based on real-time PCR based on loop isothermal amplification (IT) technology have been developed, which allows you to examine samples 34 times faster than those developed previously. The Central Research Institute of Epidemiology of Rospotrebnadzor has developed and put into operation the Russian Platform for Aggregation of Information on Virus Genomes (VGARus). The VGARus database contains information about the nucleotide sequences of the SARS-CoV-2 viruses and their mutations, and the SOLAR Integration Platform has been created to quickly transfer the results of PCR studies to all interested citizens of the Russian Federation. Aims to study the manifestations of the epidemic process of COVID-19 and the prevalence of genovariants of the SARS-CoV-2 virus in the Russian Federation. Methods. A retrospective epidemiological analysis of the incidence of COVID-19 was carried out from March 30, 2020 to May 17, 2022 in the Russian Federation. The database was formed on the basis of the materials of the Rospotrebnadzor report form No. 970 Information on cases of infectious diseases in persons with suspected new coronavirus infection, data from the WHO, the domestic information portal Stopkoronavirus.rf and the Yandex DataLens data visualization and analysis service were used, information on SARS-CoV-2 genovariants in the VGARus database. Results. When analyzing the manifestations of the COVID-19 epidemic process in the Russian Federation for 20202022. Two stages have been identified. The first stage was characterized by the rapid spread of the SARS-CoV-2 virus from megacities to other regions of the country and the use of non-specific prevention measures. The beginning of the second was due to the evolution of the SARS-CoV-2 virus and a change in its biological properties, followed by a change in the prevailing genovariants on the territory of the Russian Federation. Conclusion. As a result of the study, it was found that with each subsequent increase in the incidence of COVID-19, there was a decrease in the severity of the course and the proportion of pneumonia in the structure of the clinical forms of the disease.
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10 May 2024 in Journal of microbiology, epidemiology and immunobiology
Verified
Journal Article
Open access
VAVasily G Akimkin
Vasily G Akimkin
TSTatiana A. Semenenko
Tatiana A. Semenenko
Kamil F KhafizovKamil F Khafizov
Kamil F Khafizov
SUSvetlana Ugleva
Svetlana Ugleva
DDDmitry V. Dubodelov
Dmitry V. Dubodelov
EKElena N. Kolosovskaya
Elena N. Kolosovskaya
The topic of epidemiologic surveillance is one of the basic concepts in the theory and practice of epidemiologic science. In Russia, generalization of the accumulated factual material and theoretical developments have allowed us to formulate a number of provisions on the nature of the epidemic process. The pandemic of a new coronavirus infection has forced adjustments in all spheres of society, including the activities of the infectious disease epidemiological surveillance system, requiring the development and implementation of innovative solutions. Based on the experience of prompt response to the tasks set by the COVID-19 pandemic, the authors raised the problem of development and implementation of a system of molecular genetic monitoring for pathogens of emerging and re-emerging infections as a priority vector of epidemiological surveillance development. The introduction of modern molecular biological technologies for the identification of pathogens with epidemic potential, taking into account their genetic diversity, into the system of epidemiologic surveillance has been substantiated based on the experience of using platform solutions created by the Central Research Institute of Epidemiology of Rospotrebnadzor. The strategy of genomic epidemiologic surveillance as a powerful tool to ensure readiness for response measures and management of the epidemic process by implementing and adjusting preventive and anti-epidemic measures was developed. The Russian platform for aggregation of information on virus genomes (VGARus) developed at the Central Research Institute of Epidemiology of Rospotrebnadzor as a technological, scientific, organizational and infrastructural base of genomic epidemiological surveillance, acting as an interdepartmental consortium, has been introduced into practice. The efficiency of VGARus was shown to assess the mutational variability of SARS-CoV-2, the influence of evolutionary development of circulating pathogens on the characteristics of the epidemic process, the implementation of operational and retrospective analysis of morbidity and prediction of the spread of genetic variants of pathogens.

12 September 2022 in Epidemiology and Vaccinal Prevention
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Journal Article
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TSTatiana A. Semenenko
Tatiana A. Semenenko
VAVasily G Akimkin
Vasily G Akimkin
EBElena Ivanovna Burtseva
Elena Ivanovna Burtseva
ANA. V. Nozdracheva
A. V. Nozdracheva
ESElena Simonova
Elena Simonova
SKS. N. Kuzin
S. N. Kuzin
Annualy, SARS occupy a leading position in terms of morbidity and the magnitude of the economic damage caused both in the world and in the Russian Federation. Currently, the most widespread pandemics are caused by the influenza A (H1N1) pdm09 virus and the new SARS-CoV-2 coronavirus, which occupy a common ecological niche and require studying the manifestations of the epidemic process of ARVI for further development of measures to improve epidemiological surveillance of this group of infections. Aim of the study was to investigate the current manifestations of the epidemic process of ARVI and influenza, including in the context of a new coronavirus infection (COVID–19) pandemic, on the territory of Russia and in Moscow. Materials and methods. The assessment of the long-term dynamics of the incidence of ARVI and influenza (from 1999 to 2021), as well as its age structure in the territory of the Russian Federation and in Moscow, was carried out. The main sources of information were: WHO: «The situation with COVID-19 in the European region», the domestic information portal Stopkoronavirus.rf, as well as data from Federal State Statistical Observation forms No. 2 and No. 6. Results. During the period 2013–2019, a strong positive correlation was revealed between the incidence rates of ARVI in the Russian Federation and Moscow (p = 0.8, with p < 0.05), which became negative with the spread of SARS-CoV-2: in the country, the incidence rate of ARVI increased by 11.5% in 2020 and 15.6% in 2021., in Moscow there was a decrease of 45.1% than the average in Russia, which could be due to the quality of differential diagnosis of ARVI and COVID-19. In 2021 the incidence rate of influenza decreased by more than 2 times in all Federal Districts of the country, with the exception of the capital region, where it became the maximum - 65.9 per 100 thousand population in 2021 (against 14.1 in 2019). In the age structure of influenza incidence, as well as ARVI, for the period from 2019 to 2021. the child population prevailed with the highest rates in the age groups of 1–2 years and 3–6 years. As the circulation of SARS-Cov-2 decreased to 15–19%, the activity of influenza viruses and other pathogens of the ARVI group increased (from 0.7–3.0% during the developed pandemic to 5.6–6.6% at the stage of its decline), which indicates a pronounced interference of pathogens detected at the global level in the system of Global Hospital Surveillance for flu. Conclusion. The forecast for the upcoming epidemic season 2022–2023 largely depends on the spread of the new coronavirus SARS-CoV-2, as well as its variability and the emergence of new variants. Nevertheless, there may be a significant increase in the incidence caused by the influenza A(H1N1)pdm09 virus, whose high activity was recorded in the current epidemic season in a number of countries in the Southern hemisphere.

16 January 2024 in Microbiology Research
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Journal Article
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VAVasily G Akimkin
Vasily G Akimkin
TSTatiana A. Semenenko
Tatiana A. Semenenko
SUSvetlana Ugleva
Svetlana Ugleva
DDDmitry V. Dubodelov
Dmitry V. Dubodelov
Kamil F KhafizovKamil F Khafizov
Kamil F Khafizov
The COVID-19 pandemic, etiologically related to a new coronavirus, has had a catastrophic impact on the demographic situation on a global scale. The aim of this study was to analyze the manifestations of the COVID-19 epidemic process, the dynamics of circulation, and the rate of the spread of new variants of the SARS-CoV-2 virus in the Russian Federation. Retrospective epidemiological analysis of COVID-19 incidence from March 2020 to fall 2023 and molecular genetic monitoring of virus variability using next-generation sequencing technologies and bioinformatics methods were performed. Two phases of the pandemic, differing in the effectiveness of anti-epidemic measures and the evolution of the biological properties of the pathogen, were identified. Regularities of SARS-CoV-2 spread were determined, and risk territories (megacities), risk groups, and factors influencing the development of the epidemic process were identified. It was found that with each subsequent cycle of disease incidence rise, the pathogenicity of SARS-CoV-2 decreased against the background of the increasing infectiousness of SARS-CoV-2. Data on the mutational variability of the new coronavirus were obtained using the Russian platform of viral genomic information aggregation (VGARus) deployed at the Central Research Institute of Epidemiology. Monitoring the circulation of SARS-CoV-2 variants in Russia revealed the dominance of Delta and Omicron variants at different stages of the pandemic. Data from molecular genetic studies are an essential component of epidemiologic surveillance for making management decisions to prevent the further spread of SARS-CoV-2 and allow for prompt adaptation to pandemic control tactics.