ISSN 2226-6976 (Print)
ISSN 2414-9640 (Online)

Concept of digital transformation of the epidemiological surveillance system

Akimkin V.G., Mikheeva I.V.

Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being, Moscow, Russia
Based on the theory of academician B.L.Cherkassky on the multi-level organization of the epidemic process, the concept of digital transformation of the epidemiological surveillance system was formulated. According this concept, the unified information analysis system (UIAS) of Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being should include, in the form of separate modules, digital databases on the characteristics of the epidemic process at different levels of its organization, structured depending on the nature of the information, for example, the results of epidemiological, social and hygienic, clinical, serological, molecular genetic and other types of monitoring. Since the volume of the aggregate database of multi-level monitoring of the epidemiological process will be extremely large, the collection, processing and analysis of epidemiological information fully corresponds to the concept of «Big Data» and requires the use of appropriate technologies, including cloud services and digital platforms, as well as GIS technologies. Special computer software solutions are necessary for conducting retrospective and operational epidemiological analysis within the framework of the analytical subsystem of epidemiological surveillance. The functioning of the diagnostic subsystem of epidemiological surveillance, taking into account the complexity of the multi-level organization of the epidemic process, is impossible without the use of artificial intelligence. The final product of digital epidemiological surveillance should be an epidemiological diagnosis with justification and selection of the most effective way to improve the epidemiological situation, as well as an epidemiological forecast, the development of which should use mathematical modeling methods.

Keywords

epidemiological surveillance
digital transformation
epidemic process structure
digital technologies

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About the Authors

Professor Vasily G. Аkimkin, Academician of the Russian Academy, МD, Director, Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being, Moscow, Russia; vgakimkin@yandex.ru; https://orcid.org/0000-0001-8139-0247
Professor Irina V. Mikheeva, MD, Head, Laboratory of Immunoprophylaxis, Central Research Institute of Epidemiology, Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being, Moscow, Russia; Irina_Mikheeva@mail.ru; https://orcid.org/0000-0001-8736-4007

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