How CIs can Tackle Future Pandemics: A Multi-Domain Approach to Improve CI Resilience

Stefan Schauer (Author and Speaker), Manuel Egger, Max Josef Kesselbacher-Pirker, Isti Rodiah, Olga Horvadovska, Berit Lange, Norman Fauster, Hannes Zenz, Christian Kimmich

Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

Abstract

In this paper, we present an integrated approach
that combines data and information sources from different
domains to better capture the potential effects of a pandemic
and to improve preparedness of critical infrastructures and
decision makers in the future. This approach not only takes
epidemiological data on a pathogen into account but also allows
to simulate the cascading effects of the pandemic itself as well
as the mitigation measures might have on the operation of CIs
from various domains and, consequently, on the well-being of the
society. Additionally, these effects can influence the operational
capacity and economic well-being of CIs. Hence, the approach
also projects the possible economic effects, i.e., monetary costs, a
future pandemic might impose on society, including wide-ranging
counter measures such as school closures or lock-downs.
Original languageEnglish
Title of host publicationPreproceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)
Pages53-60
Number of pages8
ISBN (Electronic)978-83-969601-6-0
Publication statusPublished - 9 Sept 2024
Event19th Conference on Computer Science and Intelligence Systems (FedCSIS) - Belgrade, Serbia, Belgrade, Serbia
Duration: 8 Sept 202411 Sept 2024

Conference

Conference19th Conference on Computer Science and Intelligence Systems (FedCSIS)
Country/TerritorySerbia
CityBelgrade
Period8/09/2411/09/24

Research Field

  • Dependable Systems Engineering

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