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COVID-19 Vaccine Ranking Using ANP Method

Author

Listed:
  • Seema G. Bhol

    (KIIT University, India)

  • Jnyana Ranjan Mohanty

    (KIIT University, India)

  • Prasant Kumar Pattnaik

    (KIIT University, India)

  • Suresh Chandra Satapathy

    (KIIT University, India)

Abstract

Wuhan Province in China reported the first case of novel corona virus as pneumonia outbreak during December 2019. The novel coronavirus was soon declared a pandemic by the World Health Organization. On 16th of July 2021, the number of COVID-19 confirmed cases was 188,128,952 globally, out of which 4,059,339 individuals succumbed to this deadly virus. In a short span of time, eight vaccines were approval for emergency use in different nations. The selection of vaccine depends upon many criteria. Concepts from multi-criteria decision making (MCDM) are appropriate to compare and rank them. The paper proposes analytical network processing (ANP) method to rank the eight vaccines according to seven criteria. The study proposes a decision tool to select the best vaccine among the candidate vaccines. A mathematical model based on ANP approach with three clusters having interrelationships within and among the clusters is proposed.

Suggested Citation

  • Seema G. Bhol & Jnyana Ranjan Mohanty & Prasant Kumar Pattnaik & Suresh Chandra Satapathy, 2022. "COVID-19 Vaccine Ranking Using ANP Method," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 13(2), pages 1-19, August.
    • Handle: RePEc:igg:joris0:v:13:y:2022:i:2:p:1-19
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