Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)

DOI: http://dx.doi.org/10.15439/2024F0003

Citation: Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 39, pages 53–60 (2024)

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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.

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