Digital solutions (VGARus, SOLAR, «EpidSmart – COVID Module») in the system of epidemiological surveillance of the new coronavirus infection (COVID-19)
- Authors: Akimkin V.G.1, Dubodelov D.V.1, Esman A.S.1, Kuzin S.N.1, Ugleva S.V.1, Cherkashina A.S.1, Khafizov K.F.1, Sycheva N.V.1, Korabelnikova M.I.1, Gasanov G.A.1, Sadofev P.V.1, Samsonov A.А.1, Stratulat D.V.1, Monakhova A.A.1
-
Affiliations:
- Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
- Issue: Vol 15, No 1 (2025)
- Pages: 43-50
- Section: Original Investigations
- URL: https://journals.eco-vector.com/2226-6976/article/view/684518
- DOI: https://doi.org/10.18565/epidem.2025.15.1.43-50
- ID: 684518
Cite item
Abstract
Objective. Evaluation, demonstration of the effectiveness and prospects of using software solutions (digital platforms) in the epidemiological surveillance system for infectious diseases.
Materials and methods. The article summarizes the information on the functioning of software solutions as part of the epidemiological surveillance system for the period 2020–2023. An analysis of molecular genetic monitoring data based on the VGARus platform (Virus Genome Aggregator of Russia – a platform for aggregating the results of genome decoding of pathogens of infectious and parasitic diseases) for 2020–2023, as well as the results of PCR studies based on the SOLAR platform (System of laboratory aggregation results – a platform for aggregating the results of laboratory tests) for 2022–2023 and the dynamics of the incidence of a new coronavirus infection (COVID- 19) in the population of the Russian Federation was performed.
Results. The developed software solutions made it possible to effectively modernize the subsystems of epidemiological surveillance for COVID-19 due to changes in the collection and storage of information, as well as in the formation of an epidemiological diagnosis and short-term prognosis. The presented solutions serve as a reliable source of feedback to improve the efficiency of epidemiological control.
Conclusion. The use of digital platform solutions created by the Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being, is substantiated. The effectiveness of the developed platforms is shown: VGARus, which acts as a system for aggregating information on virus genomes; SOLAR, which allows using data from PCR studies to monitor the spread of the pathogen; «EpidSmart – COVID module», which is used as an analytical tool for conducting operational and retrospective epidemiological analysis, and forecasting the spread of genetic variants of pathogens. The implementation of such software solutions is promising for improving epidemiological surveillance of other infectious diseases.
Full Text

About the authors
Vasily G. Akimkin
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Author for correspondence.
Email: crie@pcr.su
ORCID iD: 0000-0003-4228-9044
Professor, Academician of Russian Academy of Sciences, MD, Director
Russian Federation, MoscowDmitriy V. Dubodelov
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: dubodelov@cmd.su
ORCID iD: 0000-0003-3093-5731
Cand. Med. Sci., Senior Researcher, Laboratory of Viral Hepatitis
Russian Federation, MoscowAnna S. Esman
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: esman@cmd.su
ORCID iD: 0000-0002-5456-7649
Researcher, Laboratory of Molecular Methods for Studying of Genetic Polymorphisms
Russian Federation, MoscowStanislav N. Kuzin
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: kuzin@cmd.su
ORCID iD: 0000-0002-0616-9777
Professor, MD, Head, Laboratory of Viral Hepatitis
Russian Federation, MoscowSvetlana V. Ugleva
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: ugleva@cmd.su
ORCID iD: 0000-0002-1322-0155
MD, Associate Professor, Head, Scientific and Analytical Department
Russian Federation, MoscowAnna S. Cherkashina
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: cherkashina@pcr.ms
ORCID iD: 0000-0001-7970-7495
Cand. Chem. Sci., Director, Scientific Group of Genetic Engineering and Biotechnology
Russian Federation, MoscowKamil F. Khafizov
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: khafizov@cmd.su
ORCID iD: 0000-0001-5524-0296
Cand. Biol. Sci., Head, Laboratory of Genomic Studies
Russian Federation, MoscowNatalia V. Sycheva
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: sycheva.n@cmd.su
ORCID iD: 0000-0001-8557-6540
Junior Researcher, Laboratory of Infections Associated with the Provision of Medical Care
Russian Federation, MoscowMarina I. Korabelnikova
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: korabelnikova@cmd.su
ORCID iD: 0000-0002-2575-8569
Researcher, Laboratory of Viral Hepatitis
Russian Federation, MoscowGasan A. Gasanov
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: gasanov@cmd.su
ORCID iD: 0000-0002-0121-521X
Specialist, Scientivic and Analytical Department
Russian Federation, MoscowPavel V. Sadofev
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: sadofev@cmd.su
ORCID iD: 0009-0005-8892-9766
Information Systems Programmer
Russian Federation, MoscowAlexandr А. Samsonov
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: samsonov@cmd.su
ORCID iD: 0009-0007-8036-1883
Project Management Group Leader
Russian Federation, MoscowDenis V. Stratulat
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: stratylat@cmd.su
ORCID iD: 0009-0005-3483-9597
Head, Information and Analytical Service
Russian Federation, MoscowAngelina A. Monakhova
Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being
Email: monaxova.angelina@mail.ru
ORCID iD: 0009-0000-9950-2649
Postgraduate Student
Russian Federation, MoscowReferences
- Беляков В.Д., Дегтярев А.А., Иванников Ю.Г. Качество и эффективность противоэпидемических мероприятий. Л.: Медицина, 1981. 304 с./Beliakov V.D., Degtiarev A.A., Ivannikov Yu.G. [The quality and effectiveness of anti-epidemic measures]. Leningrad: Medicine, 1981. 304 p. (In Russ.).
- Черкасский Б.Л. Теоретическое обоснование структуры эпидемиологического надзора. В кн: Эпидемиологический надзор за инфекционными болезнями: Сб. науч. тр. М., 1987/Cherkasskу B.L. [Theoretical substantiation of the structure of epidemiological surveillance. In: Epidemiological surveillance of infectious diseases]. Moscow, 1987. (In Russ.).
- Покровский В.И., ред. Руководство по эпидемиологии инфекционных болезней [В 2 т.]. T. 1. М.: Медицина, 1993. 464 с./Pokrovskу V.I., еd. [Handbook of Epidemiology of infectious diseases [In 2 volumes]. V.1. Moscow: Medicine, 1993. 464 p. (In Russ.).
- Virtanen P., Gommers R., Oliphant T.E., Haberland M., Reddy T., Cournapeau D., et. al. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods 2020; (17): 261–272. doi: 10.1038/s41592-019-0686-2
- The pandas development team. (2024). pandas-dev/pandas: Pandas (v2.2.2). Zenodo. doi: 10.5281/zenodo.10957263
- Seabold S., Perktold J. Statsmodels: Econometric and Statistical Modeling with Python, 2010. doi: 10.25080/Majora-92bf1922-011
- Акимкин В.Г., Семененко Т.А., Хафизов К.Ф., Углева С.В., Дубоделов Д.В., Колосовская Е.В. Стратегия геномного эпидемиологического надзора. Проблемы и перспективы. Журнал микробиологии, эпидемиологии и иммунобиологии 2024; 101(2): 163–172. doi: 10.36233/0372-9311-507/Akimkin V.G., Semenenko T.A., Khafizov K.F., Ugleva S.V., Dubodelov D.V., Kolosovskaya E.N. [Genomic surveillance strategy. Problems and perspectives]. Journal of microbiology, epidemiology and immunobiology 2024; 101(2): 163–172. (In Russ.). doi: 10.36233/0372-9311-507
- Акимкин В.Г., Семененко Т.А., Углева С.В., Дубоделов Д.В., Кузин С.Н., Яцышина С.Б. и др. COVID-19 в России: эпидемиология и молекулярно-генетический мониторинг. Вестник РАМН 2022; 77(4): 254–260. doi: 10.15690/vramn2121/Akimkin V.G., Semenenko T.A., Ugleva S.V., Dubodelov D.V., Kuzin S.N,, Yacyshina S.B. et al. [COVID-19 in Russia: Epidemiology and Molecular Genetic Monitoring]. Annals of the Russian Academy of Medical Sciences 2022; 77(4): 254–260. (In Russ.). doi: 10.15690/vramn2121
- Esman A., Dubodelov D., Khafizov K., Kotov I.A., Roev G., Golubev A. et al. Development and Application of Real-Time PCR-Based Screening for Identification of Omicron SARS-CoV-2 Variant Sublineages. Genes 2023; 14(6): 1218. doi: 10.3390/genes14061218
- Попова А.Ю., Ежлова Е.Б., Смоленский В.Ю. COVID-19: научно-практические аспекты борьбы с пандемией в Российской Федерации. Саратов: ООО «Амирит», 2021. 608 с./Popova A.Yu., Ezhlova E.B., Smolenskу V.Yu. [COVID-19: scientific and practical aspects of combating the pandemic in the Russian Federation]. Saratov: «Amiri», 2021. 608 p. (In Russ.).
- Котов И.А., Аглетдинов М.Р., Роев Г.В., Пимкина Е.В., Надтока М.И., Пересадина А.В. и др. Геномный надзор за SARS-CoV-2 в Российской Федерации: возможности платформы VGARus. Журнал микробиологии, эпидемиологии и иммунобиологии 2024; 101(4): 435–447. doi: 10.36233/0372-9311-554/Kotov I.A., Agletdinov M.R., Roev G.V., Pimkina E.V., Nadtoka M.I., Transplantina A.V. et al. [Genomic surveillance of SARS-CoV-2 in Russia: insights from the VGARus platform]. Journal of microbiology, epidemiology and immunobiology 2024; 101(4): 435–447. (In Russ.). doi: 10.36233/0372-9311-554
- Акимкин В.Г. Эпидемиология и диагностика COVID-19. Мониторинг эволюционных изменений вируса SARS-CoV-2. Вестник РАН 2024; 92(7): 647–653. doi: 10.31857/S0869587322070027/Akimkin V.G. [Epidemiology and diagnosis of COVID-19. Monitoring of the evolutionary changes of the SARS-CoV-2 virus]. Herald of the Russian Academy of Sciences 2024; 92(7): 647–653. (In Russ.). doi: 10.31857/S0869587322070027
- Акимкин В.Г., Хафизов К.Ф., Дубоделов Д.В., Воронин Е.М., Черкашина А.С. и др. Молекулярно-генетический мониторинг и технологии цифровой трансформации в современной эпидемиологии. Вестник РАМН 2023; 78(4): 363–369. doi: 10.15690/vramn13672/Akimkin V.G., Khafizov K.F., Dubodelov D.V., Voronin E.M., Cherkashina A.S. et al. [Molecular genetic monitoring and digital transformation technologies in modern epidemiology]. Annals of the Russian Academy of Medical Sciences 2023; 78(4): 363–369. (In Russ.). doi: 10.15690/vramn13672
- Акимкин В.Г., Семененко Т.А., Дубоделов Д.В., Хафизов К.Ф., Углева С.В. Теория саморегуляции паразитарных систем и COVID-19. Вестник РАМН 2024; 79(1): 33–41. doi: 10.15690/vramn11607/Akimkin V.G., Semenenko T.A., Dubodelov D.V., Khafizov K.F., Ugleva S.V. [The theory of self-regulation of parasitary systems and COVID-19]. Annals of the Russian Academy of Medical Sciences 2024; 79(1): 33–41. (In Russ.). doi: 10.15690/vramn11607
Supplementary files
