Digital solutions (VGARus, SOLAR, «EpidSmart – COVID Module») in the system of epidemiological surveillance of the new coronavirus infection (COVID-19)

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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.

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作者简介

Vasily Akimkin

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being

编辑信件的主要联系方式.
Email: crie@pcr.su
ORCID iD: 0000-0003-4228-9044

Professor, Academician of Russian Academy of Sciences, MD, Director

俄罗斯联邦, Moscow

Dmitriy 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

俄罗斯联邦, Moscow

Anna 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

俄罗斯联邦, Moscow

Stanislav 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

俄罗斯联邦, Moscow

Svetlana 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

俄罗斯联邦, Moscow

Anna 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

俄罗斯联邦, Moscow

Kamil 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

俄罗斯联邦, Moscow

Natalia 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

俄罗斯联邦, Moscow

Marina 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

俄罗斯联邦, Moscow

Gasan 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

俄罗斯联邦, Moscow

Pavel 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

俄罗斯联邦, Moscow

Alexandr 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

俄罗斯联邦, Moscow

Denis 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

俄罗斯联邦, Moscow

Angelina 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

俄罗斯联邦, Moscow

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2. Fig. 1. Structure of the epidemiological surveillance system

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3. Fig. 2. Interaction of the VGARus, SOLAR and «EpidSmart - COVID module» platforms

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4. Fig. 3. Use of software platforms in the COVID-19 epidemiological surveillance system

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