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Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards

Author

Listed:
  • A. Jovanović

    (EU-VRi European Risk & Resilience Institute
    R-Tech Steinbeis Advanced Risk Technologies)

  • P. Klimek

    (Medical University Vienna)

  • O. Renn

    (Institute for Advanced Sustainability Studies (IASS))

  • R. Schneider

    (SWICA)

  • K. Øien

    (SINTEF)

  • J. Brown

    (ISO)

  • M. DiGennaro

    (Johanniter Unfallhilfe e.V.)

  • Y. Liu

    (Beijing Municipal Institute of Labor Protection (BMILP))

  • V. Pfau

    (EU-VRi European Risk & Resilience Institute)

  • M. Jelić

    (R-Tech Steinbeis Advanced Risk Technologies)

  • T. Rosen

    (R-Tech Steinbeis Advanced Risk Technologies)

  • B. Caillard

    (EU-VRi European Risk & Resilience Institute)

  • S. Chakravarty

    (R-Tech Steinbeis Advanced Risk Technologies)

  • P. Chhantyal

    (R-Tech Steinbeis Advanced Risk Technologies)

Abstract

In the moment of preparation of this paper, the world is still globally in grip of the Corona (COVID-19) crisis, and the need to understand the broader overall framework of the crisis increases. As in similar cases in the past, also with this one, the main interest is on the “first response”. Fully appreciating the efforts of those risking their lives facing pandemics, this paper tries to identify the main elements of the larger, possibly global, framework, supported by international standards, needed to deal with new (emerging) risks resulting from threats like Corona and assess the resilience of systems affected. The paper proposes that future solutions should include a number of new elements, related to both risk and resilience. That should include broadening the scope of attention, currently focused onto preparation and response phases, to the phases of “understanding risks”, including emerging risks, and transformation and adaptation. The paper suggests to use resilience indicators in this process. The proposed approach has been applied in different cases involving critical infrastructures in Europe (energy supply, water supply, transportation, etc., exposed to various threats), including the health system in Austria. The detailed, indicator-based, resilience analysis included mapping resilience, resilience stress-testing, visualization, etc., showing, already before the COVID-19, the resilience (stress-testing) limits of the infrastructures. A simpler (57 indicator based) analysis has, then been done for 11 countries (including Austria). The paper links these results with the options available in the area of policies, standards, guidelines and tools (such as the RiskRadar), with focus on interdependencies and global standards—especially the new ISO 31,050, linking emerging risks and resilience.

Suggested Citation

  • A. Jovanović & P. Klimek & O. Renn & R. Schneider & K. Øien & J. Brown & M. DiGennaro & Y. Liu & V. Pfau & M. Jelić & T. Rosen & B. Caillard & S. Chakravarty & P. Chhantyal, 2020. "Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards," Environment Systems and Decisions, Springer, vol. 40(2), pages 252-286, June.
  • Handle: RePEc:spr:envsyd:v:40:y:2020:i:2:d:10.1007_s10669-020-09779-8
    DOI: 10.1007/s10669-020-09779-8
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    References listed on IDEAS

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    1. Peter Klimek & Sebastian Poledna & Stefan Thurner, 2019. "Quantifying economic resilience from input–output susceptibility to improve predictions of economic growth and recovery," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    2. Cate Fox-Lent & Matthew E. Bates & Igor Linkov, 2015. "A matrix approach to community resilience assessment: an illustrative case at Rockaway Peninsula," Environment Systems and Decisions, Springer, vol. 35(2), pages 209-218, June.
    3. Peter Klimek & Sebastian Poledna & Stefan Thurner, 2019. "Economic resilience from input-output susceptibility improves predictions of economic growth and recovery," Papers 1903.03203, arXiv.org.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Hyundong Nam & Taewoo Nam, 2021. "Exploring Strategic Directions of Pandemic Crisis Management: A Text Analysis of World Economic Forum COVID-19 Reports," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    2. Diane Coyle, 2022. "Healthcare as social infrastructure: productivity and the UK NHS during and after Covid-19," Working Papers 017, The Productivity Institute.
    3. Hoang Long Nguyen & Rajendra Akerkar, 2020. "Modelling, Measuring, and Visualising Community Resilience: A Systematic Review," Sustainability, MDPI, vol. 12(19), pages 1-26, September.
    4. Garcia-Perez, Alexeis & Cegarra-Navarro, Juan Gabriel & Sallos, Mark Paul & Martinez-Caro, Eva & Chinnaswamy, Anitha, 2023. "Resilience in healthcare systems: Cyber security and digital transformation," Technovation, Elsevier, vol. 121(C).
    5. Mohammad Amin Hariri-Ardebili, 2020. "Living in a Multi-Risk Chaotic Condition: Pandemic, Natural Hazards and Complex Emergencies," IJERPH, MDPI, vol. 17(16), pages 1-16, August.
    6. Mena, Carlos & Karatzas, Antonios & Hansen, Carsten, 2022. "International trade resilience and the Covid-19 pandemic," Journal of Business Research, Elsevier, vol. 138(C), pages 77-91.
    7. Artiom Volkov & Agnė Žičkienė & Mangirdas Morkunas & Tomas Baležentis & Erika Ribašauskienė & Dalia Streimikiene, 2021. "A Multi-Criteria Approach for Assessing the Economic Resilience of Agriculture: The Case of Lithuania," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    8. Doris A. Behrens & Marion S. Rauner & Margit Sommersguter-Reichmann, 2022. "Why Resilience in Health Care Systems is More than Coping with Disasters: Implications for Health Care Policy," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 465-495, December.
    9. Feng, Wei & Yuan, Hang, 2023. "The impact of medical infrastructure on regional innovation: An empirical analysis of China's prefecture-level cities," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).

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