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Transforming COVID-19 vaccines into vaccination

Author

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  • Tinglong Dai

    (Johns Hopkins University)

  • Jing-Sheng Song

    (Duke University)

Abstract

Amid the prolonged COVID-19 pandemic, the miraculous breakthroughs of multiple effective and safe COVID-19 vaccines offer hopeful prospects. Yet, the endgame of the pandemic is not vaccines; it is vaccination. The daunting challenge of vaccinating the world offers ample investigative opportunities for management scientists who are interested in improving the efficiency and equity of vaccine supply chains. In this article, we provide a brief overview of these opportunities through three constituent parts: (1) supply, (2) demand, and (3) matching supply with demand.

Suggested Citation

  • Tinglong Dai & Jing-Sheng Song, 2021. "Transforming COVID-19 vaccines into vaccination," Health Care Management Science, Springer, vol. 24(3), pages 455-459, September.
    • Handle: RePEc:kap:hcarem:v:24:y:2021:i:3:d:10.1007_s10729-021-09563-3
    DOI: 10.1007/s10729-021-09563-3
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    References listed on IDEAS

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    1. Gah-Yi Ban & Cynthia Rudin, 2019. "The Big Data Newsvendor: Practical Insights from Machine Learning," Operations Research, INFORMS, vol. 67(1), pages 90-108, January.
    2. Kenan Arifoglu & Sarang Deo & Seyed M. R. Iravani, 2012. "Consumption Externality and Yield Uncertainty in the Influenza Vaccine Supply Chain: Interventions in Demand and Supply Sides," Management Science, INFORMS, vol. 58(6), pages 1072-1091, June.
    3. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    4. Tinglong Dai & Soo-Haeng Cho & Fuqiang Zhang, 2016. "Contracting for On-Time Delivery in the U.S. Influenza Vaccine Supply Chain," Manufacturing & Service Operations Management, INFORMS, vol. 18(3), pages 332-346, July.
    5. Steven Nahmias, 1982. "Perishable Inventory Theory: A Review," Operations Research, INFORMS, vol. 30(4), pages 680-708, August.
    6. Stephen E. Chick & Sameer Hasija & Javad Nasiry, 2017. "Information Elicitation and Influenza Vaccine Production," Operations Research, INFORMS, vol. 65(1), pages 75-96, February.
    7. Tinglong Dai & Ronghuo Zheng & Katia Sycara, 2020. "Jumping the Line, Charitably: Analysis and Remedy of Donor-Priority Rule," Management Science, INFORMS, vol. 66(2), pages 622-641, February.
    8. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    9. Jing-Sheng Song & Geert-Jan van Houtum & Jan A. Van Mieghem, 2020. "Capacity and Inventory Management: Review, Trends, and Projections," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 36-46, January.
    10. Jan A. Van Mieghem & Maqbool Dada, 1999. "Price Versus Production Postponement: Capacity and Competition," Management Science, INFORMS, vol. 45(12), pages 1639-1649, December.
    11. Alvin E. Roth, 2018. "Marketplaces, Markets, and Market Design," American Economic Review, American Economic Association, vol. 108(7), pages 1609-1658, July.
    12. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    13. Stephen E. Chick & Hamed Mamani & David Simchi-Levi, 2008. "Supply Chain Coordination and Influenza Vaccination," Operations Research, INFORMS, vol. 56(6), pages 1493-1506, December.
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    Cited by:

    1. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    2. Hrayer Aprahamian & Vedat Verter & Manaf Zargoush, 2024. "Editorial: management science for pandemic prevention, preparedness, and response," Health Care Management Science, Springer, vol. 27(3), pages 479-482, September.
    3. Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
    4. Sudhanshu Joshi & Manu Sharma, 2022. "A Literature Survey on Vaccine Supply Chain Management Amidst COVID-19: Literature Developments, Future Directions and Open Challenges for Public Health," World, MDPI, vol. 3(4), pages 1-28, October.

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