Problems of digital transformation of the analytical subsystem of epidemiological surveillance
The Unified Information and Analytical System (UIAS) of Russian Federal Service for Supervision of Consumer Rights Protection and Human Well-Being is the information basis for epidemiological surveillance, a database for monitoring the quantitative and qualitative characteristics of the epidemic process at various levels of its organization. Processing and analyzing this information within the diagnostic subsystem of epidemiological surveillance requires the application of appropriate principles and technologies.Mikheeva I.V., Gerasimov A.N., Akimkin V.G.
Objective. Development of the concept for the digital transformation of the analytical subsystem of epidemiological surveillance based on big data systems.
Results. A conceptual structure of an analytical subsystem for epidemiological surveillance consisting of several functional system blocks: database management, operational analysis, intelligent analysis, presentation of results to the user, and decision-making is proposed. It is advisable to implement operational and intelligent analysis methods as separate software modules. Challenges in the digital transformation of the analytical subsystem for epidemiological surveillance are identified.
Conclusion. The solution to the complex challenges of digital transformation of the analytical subsystem for epidemiological surveillance must be planned, supported, implemented, and monitored as early as the technical specifications stage. The key points of the digital transformation concept for the analytical subsystem for epidemiological surveillance include the selection of its technological foundation, the definition of a modular architecture, a set of digital transformation tools, both internal and external, and interconnections, as well as the establishment of the digital potential for subsystem development.
Keywords
epidemiological surveillance
epidemiological analysis
analytical subsystem for epidemiological surveillance
digital transformation
References
1. Global strategy on digital health 2020–2025. Geneva: World Health Organization; 2021.
2. Акимкин В.Г., Михеева И.В. Концепция цифровой трансформации системы эпидемиологического надзора. Эпидемиол. инфекц. болезни. Актуал. вопр. 2025; 15(2): 16–20. [Akimkin V.G., Mikheeva I.V. Concept of digital transformation of the epidemiological surveillance system. Epidemiоlоgy and infectious diseases. Сurrent items 2025; 15(2): 16–20. (In Russ.)]. DOI: 10.18565/epidem.2025.15.2.16-20
3. Абдрахманова Г.И., Вишневский К.О., Гохберг Л.М., Зинина Т.С., Ковалева Г.Г., Лавриненко А.С. и др. Что такое цифровая экономика? Тренды, компетенции, измерение. В кн.: XX Апрельская междунар. науч. конф. по проблемам развития экономики и общества, Москва, 9–12 апреля 2019 г. М.: Изд. дом Высшей школы экономики, 2019. [Abdrakhmanova G.I., Vishnevskiy K.O., Gokhberg L.M., Zinina T.S., Kovaleva G.G., Lavrinenko A.S. et al. What is the digital economy? Trends, competencies, measurement: In: XX April International Academic Conference on Economic and Social Development. Moscow: Publishing House of the Higher School of Economics, 2019. (In Russ.)].
4. 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. [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
5. Акимкин В.Г., Семененко Т.А., Хафизов К.Ф., Углева С.В., Дубоделов Д.В., Колосовская Е.Н. Стратегия геномного эпидемиологического надзора. Проблемы и перспективы. Журнал микробиологии, эпидемиологии и иммунобиологии. 2024; 101(2): 163–172. [Akimkin V.G., Semenenko T.A., Khafizov K.F., Ugleva S.V., Dubodelov D.V., Kolosovskaya E.N. Genomic epidemiological surveillance strategy. Challenges and prospects. Journal of microbiology, epidemiology and immunology 2024; 101(2): 163–172. (In Russ.)]. DOI: 10.36233/0372-9311-507
6. Gerasimov A., Galkina E., Danilova E., Ikonnikova I., Novoselova T., Senenycheva I. et al. Estimation of the probability of daily fluctuations of incidence of COVID-19 according to official data. PeerJ 2021; 9: e11049. DOI: 10.7717/peerj.11049
7. Алексеева Т.В., Амириди Ю.В., Дик В.В., Лужецкий М.Г., Павлековская И.В., Хутинаев Д.А. Информационные аналитические системы. М.: Синергия, 2013. 384 с. [Alekseeva T.V., Amiridi Yu.V., Dick V.V., Luzhetsky M.G., Pavlekovskaya I.V., Khutinaev D.A. Information analytical systems. Moscow: Synergy, 2013. 384 p. (In Russ.)].
8. Зариковская Н.В. Информационно-аналитические системы управления: учебное пособие. Томск: Томский государственный университет систем управления и радиоэлектроники (ТУСУР), 2018. 107 с. [Zarikovskaya N.V. Information and analytical management systems. Tutorial. Tomsk: Tomsk State University of Control Systems and Radio Electronics (TUSUR), 2018. 107 p. (In Russ.)].
9. Белов В.С. Информационно-аналитические системы. Основы проектирования и применения: учебное пособие, руководство, практикум. М.: ЕАОИ, 2024. 111 с. [Belov V.S. Information and analytical systems. Basics of design and application: textbook, manual, workshop. Moscow: EAOI, 2024. 111 p. (In Russ.)].
10. Гафаров Ф.М., Галимзянов А.Ф. Искусственные нейронные сети и приложения: учебное пособие. Казань: Изд-во Казанского университета, 2018. 121 с. [Gafarov F.M., Galimzyanov A.F. Artificial neural networks and applications: tutorials. Kazan: Kazan University Press, 2018. 121 р. (In Russ.)].
About the Authors
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/0000-0001-8736-4007Professor Andrey N. Gerasimov, Dr. Phys.-Math. Sci., Analyst, Department Information and Resource Support, Center for Strategic Planning and Management, Federal Medical and Biological Agency, Moscow, Russia: andr-gerasim@yandex.ru; https://orcid.org/0000-0003-4549-7172
Professor Vasiliy 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; http://orcid.org/0000-0003-4228-9044
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