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Vaccine Allocation and Distribution: A Review with a Focus on Quantitative Methodologies and Application to Equity, Hesitancy, and COVID-19 Pandemic

Author

Listed:
  • Emanuele Blasioli

    (McMaster University)

  • Bahareh Mansouri

    (Sobey School of Business, Saint Mary’s University)

  • Srinivas Subramanya Tamvada

    (Pennsylvania State University, State College, PA, USA)

  • Elkafi Hassini

    (McMaster University)

Abstract

This review focuses on vaccine distribution and allocation in the context of the current COVID-19 pandemic. The implications discussed are in the areas of equity in vaccine distribution and allocation (at a national level as well as worldwide), vaccine hesitancy, game-theoretic modeling to guide decision-making and policy-making at a governmental level, distribution and allocation barriers (in particular in low-income countries), and operations research (OR) mathematical models to plan and execute vaccine distribution and allocation. To conduct this review, we adopt a novel methodology that consists of three phases. The first phase deploys a bibliometric analysis; the second phase concentrates on a network analysis; and the last phase proposes a refined literature review based on the results obtained by the previous two phases. The quantitative techniques utilized to conduct the first two phases allow describing the evolution of the research in this area and its potential ramifications in future. In conclusion, we underscore the significance of operations research (OR)/management science (MS) research in addressing numerous challenges and trade-offs connected to the current pandemic and its strategic impact in future research.

Suggested Citation

  • Emanuele Blasioli & Bahareh Mansouri & Srinivas Subramanya Tamvada & Elkafi Hassini, 2023. "Vaccine Allocation and Distribution: A Review with a Focus on Quantitative Methodologies and Application to Equity, Hesitancy, and COVID-19 Pandemic," SN Operations Research Forum, Springer, vol. 4(2), pages 1-32, June.
    • Handle: RePEc:spr:snopef:v:4:y:2023:i:2:d:10.1007_s43069-023-00194-8
    DOI: 10.1007/s43069-023-00194-8
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