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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
    • Helmholtz Centre for Infection Research
    • Institute for Advanced Studies (IHS)

    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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