Technology for Creating Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects (on the Example of the Covid-19 Epidemic)

Sokolov, A., Royzenson, G., Komendantova, N. ORCID: https://orcid.org/0000-0003-2568-6179, & Ekenberg, L. ORCID: https://orcid.org/0000-0002-0665-1889 (2024). Technology for Creating Systems for Monitoring and Predictive Modeling the State of Hazardous Phenomena and Objects (on the Example of the Covid-19 Epidemic). In: 12th World Conference “Intelligent System for Industrial Automation” (WCIS-2022). Eds. Aliev, R., Yusupbekov, N., Kacprrzk, J., Pedrycz, W., Babanli, M., Sadikoglu, F., & Turabdjanov, S., pp. 202-209 Springer. 10.1007/978-3-031-51521-7_26.

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Abstract

The paper considers the issues of creating systems for monitoring and predictive modeling the state of hazardous phenomena and objects, discusses various options for their use for risk analysis. Using the example of the Covid-19 pandemic, it is shown how the discrepancy between forecast and reality leads (after a critical analysis) to the model modification or a revision of the accepted external impact scenario.

Item Type:	Book Section
Research Programs:	Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT)
Depositing User:	Luke Kirwan
Date Deposited:	30 Jan 2024 13:42
Last Modified:	30 Jan 2024 13:42
URI:	https://pure.iiasa.ac.at/19456

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