COVID-19 Vaccine Ranking Using ANP Method

Seema G. Bhol, Jnyana Ranjan Mohanty, Prasant Kumar Pattnaik and Suresh Chandra Satapathy
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Seema G. Bhol: KIIT University, India
Jnyana Ranjan Mohanty: KIIT University, India
Prasant Kumar Pattnaik: KIIT University, India
Suresh Chandra Satapathy: KIIT University, India

International Journal of Operations Research and Information Systems (IJORIS), 2022, vol. 13, issue 2, 1-19

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.

Date: 2022
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