The Concept of Decisions Support System to Mitigate the COVID-19 Pandemic Consequences based on Social and Epidemic Processes Intelligent Analysis

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Date

2021-09-20

Authors

Boyko, Dmytro
Chumachenko, Dmytro
Chumachenko, Tetyana
Чумаченко, Тетяна Олександрівна
Чумаченко, Татьяна Александровна
Lvov, Sergey
Lytovchenko, Artem
Muradyan, Olena
Zholtkevych, Grygoriy

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Abstract

The study is aimed at interdisciplinary analysis of social barriers and barriers to overcoming the consequences of epidemics and the development of programs for sociological support of anti-epidemic measures in the context of the COVID-19 pandemic. The goal is to solve the problem of increasing the biosafety of the population as a component of national security through the formation of directions and tools for preparatory work with the public conscience with use of social attitude investigation to ensure the effectiveness of vaccination and minimize the negative non-medical consequences of various measures to combat the COVID-19 pandemic. The concept of comprehensive methodology f r analyzing the crisis behavior of the masses with a combination of sociological and mathematical methods has been developed. It is planned to obtain scientifically substantiated information on the social factors of the spread of the virus, the social effects of a sense of hopelessness, social barriers to vaccination and the role of social networks in these processes; a practical task for the project is the development of models of crisis mass behavior and a system of targeted measures for managing the social atmosphere during a prolonged pandemic with uncertain prospects for an exit. It is expected to receive a concept of sociological support for pandemic measures to determine the optimal strategies of media, information and educational and socio-political influence on the state of mass consciousness in the context of the COVID-19 pandemic. CEUR-WS.org/Vol-3003/paper6.pdf

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Keywords

public health, epidemic process, epidemics control, intelligent information technologies, social factors of pandemic, epidemic model

Citation

The Concept of Decisions Support System to Mitigate the COVID-19 Pandemic Consequences based on Social and Epidemic Processes Intelligent Analysis / D. Boyko, D. Chumachenko, T. Chumachenko, S. Lvov, A. Lytovchenko, O. Muradyan, G. Zholtkevych // ProfIT AI 2021 IT-professionals on Artificial Intelligence 2021 : Workshop Proceedings, September 20–21, 2021, Kharkiv, Ukraine. – [Kharkiv], 2021. – P. 55–64.