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Effective plans for hospital system response to earthquake emergencies

Author

Listed:
  • Luis Ceferino

    (Stanford University
    Princeton University)

  • Judith Mitrani-Reiser

    (National Institute of Standards and Technology)

  • Anne Kiremidjian

    (Stanford University)

  • Gregory Deierlein

    (Stanford University)

  • Celso Bambarén

    (Universidad Peruana Cayetano Heredia)

Abstract

Hospital systems play a critical role in treating injuries during disaster emergency responses. Simultaneously, natural disasters hinder their ability to operate at full capacity. Thus, cities must develop strategies that enable hospitals’ effective disaster operations. Here, we present a methodology to evaluate emergency response based on a model that assesses the loss of hospital functions and quantifies multiseverity injuries as a result of earthquake damage. The proposed methodology can design effective plans for patient transfers and allocation of ambulances and mobile operating rooms. This methodology is applied to Lima, Peru, subjected to a disaster scenario following a magnitude 8.0 earthquake. Our results show that the spatial distribution of healthcare demands mismatches the post-earthquake capacities of hospitals, leaving large zones on the periphery significantly underserved. This study demonstrates how plans that leverage hospital-system coordination can address this demand-capacity mismatch, reducing waiting times of critically injured patients by factors larger than two.

Suggested Citation

  • Luis Ceferino & Judith Mitrani-Reiser & Anne Kiremidjian & Gregory Deierlein & Celso Bambarén, 2020. "Effective plans for hospital system response to earthquake emergencies," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18072-w
    DOI: 10.1038/s41467-020-18072-w
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    Cited by:

    1. Shang, Qingxue & Guo, Xiaodong & Li, Jichao & Wang, Tao, 2022. "Post-earthquake health care service accessibility assessment framework and its application in a medium-sized city," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    2. Zhao, Taiyi & Tang, Yuchun & Li, Qiming & Wang, Jingquan, 2023. "Resilience-oriented network reconfiguration strategies for community emergency medical services," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    3. Sun, Li & D'Ayala, Dina & Fayjaloun, Rosemary & Gehl, Pierre, 2021. "Agent-based model on resilience-oriented rapid responses of road networks under seismic hazard," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    4. Zhao, Taiyi & Tang, Yuchun & Li, Qiming & Wang, Jingquan, 2024. "Enhancing urban system resilience to earthquake disasters: Impact of interdependence and resource allocation," International Journal of Critical Infrastructure Protection, Elsevier, vol. 45(C).
    5. Taghizadeh, Mehdi & Mahsuli, Mojtaba & Poorzahedy, Hossain, 2023. "Probabilistic framework for evaluating the seismic resilience of transportation systems during emergency medical response," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    6. Pouraliakbari-Mamaghani, Mahsa & Saif, Ahmed & Kamal, Noreen, 2023. "Reliable design of a congested disaster relief network: A two-stage stochastic-robust optimization approach," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    7. Mahmoud, Hussam & Kirsch, Thomas & O'Neil, Dan & Anderson, Shelby, 2023. "The resilience of health care systems following major disruptive events: Current practice and a path forward," Reliability Engineering and System Safety, Elsevier, vol. 235(C).

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