IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p5930-d814923.html
   My bibliography  Save this article

A Global Sharing Mechanism of Resources: Modeling a Crucial Step in the Fight against Pandemics

Author

Listed:
  • Katinka den Nijs

    (Computational Science Lab, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands)

  • Jose Edivaldo

    (Computational Science Lab, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands)

  • Bas D. L. Châtel

    (Radboud University Medical Center, Department of Geriatric Medicine, 6500 GL Nijmegen, The Netherlands
    Institute for Advanced Study, 1012 GC Amsterdam, The Netherlands)

  • Jeroen F. Uleman

    (Radboud University Medical Center, Department of Geriatric Medicine, 6500 GL Nijmegen, The Netherlands
    Institute for Advanced Study, 1012 GC Amsterdam, The Netherlands)

  • Marcel Olde Rikkert

    (Radboud University Medical Center, Department of Geriatric Medicine, 6500 GL Nijmegen, The Netherlands)

  • Heiman Wertheim

    (Radboud Center for Infectious Diseases, Department of Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands)

  • Rick Quax

    (Computational Science Lab, Faculty of Science, University of Amsterdam, 1098 XH Amsterdam, The Netherlands
    Institute for Advanced Study, 1012 GC Amsterdam, The Netherlands)

Abstract

To face crises like the COVID-19 pandemic, resources such as personal protection equipment (PPE) are needed to reduce the infection rate and protect those in close contact with patients. The increasing demand for those products can, together with pandemic-related disruptions in the global supply chain, induce major local resource scarcities. During the first phase of the COVID-19 pandemic, we witnessed a reflex of ‘our people first’ in many regions. In this paper, however, we show that a cooperative sharing mechanism can substantially improve the ability to face epidemics. We present a stylized model in which communities share their resources such that each can receive them whenever a local epidemic flares up. Our main finding is that cooperative sharing can prevent local resource exhaustion and reduce the total number of infected cases. Crucially, beneficial effects of sharing are found for a large range of possible community sizes and cooperation combinations, not only for small communities being helped by large communities. Furthermore, we show that the success of sharing resources heavily depends on having a sufficiently long delay between the onsets of epidemics in different communities. These results thus urge for the pairing of a global sharing mechanism with measures to slow down the spread of infections from one community to the other. Our work uses a stylized model to convey an important and clear message to a broad public, advocating that cooperative sharing strategies in international resource crises are the most beneficial strategy for all. It stresses essential underlying principles of and contributes to designing a resilient global supply chain mechanism able to deal with future pandemics by design, rather than being subjected to the coincidental and unequal distribution of opportunities per community that we see at present.

Suggested Citation

  • Katinka den Nijs & Jose Edivaldo & Bas D. L. Châtel & Jeroen F. Uleman & Marcel Olde Rikkert & Heiman Wertheim & Rick Quax, 2022. "A Global Sharing Mechanism of Resources: Modeling a Crucial Step in the Fight against Pandemics," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5930-:d:814923
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/5930/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/10/5930/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Federico Bianchi & Andreas Flache & Flaminio Squazzoni, 2020. "Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model," The Journal of Mathematical Sociology, Taylor & Francis Journals, vol. 44(4), pages 249-266, October.
    2. Devon E McMahon & Gregory A Peters & Louise C Ivers & Esther E Freeman, 2020. "Global resource shortages during COVID-19: Bad news for low-income countries," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 14(7), pages 1-3, July.
    3. Gary Gereffi, 2020. "What does the COVID-19 pandemic teach us about global value chains? The case of medical supplies," Journal of International Business Policy, Palgrave Macmillan, vol. 3(3), pages 287-301, September.
    4. Alejandro Caparrós & Michael Finus, 2020. "The Corona-Pandemic: A Game-Theoretic Perspective on Regional and Global Governance," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 913-927, August.
    5. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    6. Sanjay Mehrotra & Hamed Rahimian & Masoud Barah & Fengqiao Luo & Karolina Schantz, 2020. "A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 303-320, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Meyer, Patrick & Dolgui, Alexandre, 2023. "Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic," Omega, Elsevier, vol. 120(C).
    2. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).
    3. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Yuxin Li & Pingyu Zhang & Kevin Lo & Juntao Tan & Qifeng Yang, 2022. "Borderland Economic Resilience under COVID-19: Evidence from China–Russia Border Regions," IJERPH, MDPI, vol. 19(20), pages 1-22, October.
    5. Bublu Thakur-Weigold & Sébastien Miroudot, 2024. "Supply chain myths in the resilience and deglobalization narrative: consequences for policy," Journal of International Business Policy, Palgrave Macmillan, vol. 7(1), pages 99-111, March.
    6. Chowdhury, Priyabrata & Paul, Sanjoy Kumar & Kaisar, Shahriar & Moktadir, Md. Abdul, 2021. "COVID-19 pandemic related supply chain studies: A systematic review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    7. Zheng, Meimei & Dong, Shuangshuang & Zhou, Yaoming & Choi, Tsan-Ming, 2023. "Sourcing decisions with uncertain time-dependent supply from an unreliable supplier," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1365-1379.
    8. Ramani, Vinay & Ghosh, Debabrata & Sodhi, ManMohan S., 2022. "Understanding systemic disruption from the Covid-19-induced semiconductor shortage for the auto industry," Omega, Elsevier, vol. 113(C).
    9. Ali, Imran & Arslan, Ahmad & Chowdhury, Maruf & Khan, Zaheer & Tarba, Shlomo Y., 2022. "Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective," Journal of Business Research, Elsevier, vol. 141(C), pages 1-12.
    10. Lily Poursoltan & Seyed-Mohammad Seyed-Hosseini & Armin Jabbarzadeh, 2021. "Green Closed-Loop Supply Chain Network under the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    11. Shaker Ardakani, Elham & Gilani Larimi, Niloofar & Oveysi Nejad, Maryam & Madani Hosseini, Mahsa & Zargoush, Manaf, 2023. "A resilient, robust transformation of healthcare systems to cope with COVID-19 through alternative resources," Omega, Elsevier, vol. 114(C).
    12. Balezentis, Tomas & Zickiene, Agne & Volkov, Artiom & Streimikiene, Dalia & Morkunas, Mangirdas & Dabkiene, Vida & Ribasauskiene, Erika, 2023. "Measures for the viable agri-food supply chains: A multi-criteria approach," Journal of Business Research, Elsevier, vol. 155(PA).
    13. Rinaldi, Marta & Bottani, Eleonora, 2023. "How did COVID-19 affect logistics and supply chain processes? Immediate, short and medium-term evidence from some industrial fields of Italy," International Journal of Production Economics, Elsevier, vol. 262(C).
    14. Tortorella, Guilherme L. & Fogliatto, Flavio S. & Saurin, Tarcísio A. & Tonetto, Leandro M. & McFarlane, Duncan, 2022. "Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak," Technovation, Elsevier, vol. 111(C).
    15. Fang, Da & Guo, Yan, 2022. "Flow of goods to the shock of COVID-19 and toll-free highway policy: Evidence from logistics data in China," Research in Transportation Economics, Elsevier, vol. 93(C).
    16. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    17. Jonathan H. Reed, 2022. "Operational and strategic change during temporary turbulence: evidence from the COVID-19 pandemic," Operations Management Research, Springer, vol. 15(1), pages 589-608, June.
    18. Grillitsch, Markus & Asheim, Björn & Fünfschilling, Lea & Kelmenson, Sophie & Lowe, Nichola & Lundquist, Karl Johan & Mahmoud, Yahia & Martynovich, Mikhail & Mattson, Pauline & Miörner, Johan & Nilsso, 2023. "Rescaling: An Analytical Lense to Study Economic and Industrial Shifts," Papers in Innovation Studies 2023/11, Lund University, CIRCLE - Centre for Innovation Research.
    19. Priom Mahmud & Sanjoy Kumar Paul & Abdullahil Azeem & Priyabrata Chowdhury, 2021. "Evaluating Supply Chain Collaboration Barriers in Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 13(13), pages 1-28, July.
    20. Saurabh Pratap & Sunil Kumar Jauhar & Yash Daultani & Sanjoy Kumar Paul, 2023. "Benchmarking sustainable E‐commerce enterprises based on evolving customer expectations amidst COVID‐19 pandemic," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 736-752, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:5930-:d:814923. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.