Manara - Qatar Research Repository
Browse

A Vickrey-Clarke-Groves Mechanism Approach for Fair and Equitable COVID-19 Vaccine Distribution

Download (1.32 MB)
thesis
submitted on 2024-10-28, 07:58 and posted on 2024-11-03, 08:46 authored by Lolwa Hussain A. I. Al-Majid
On the 11th of March 2020, the World Health Organization (WHO) declared the COVID-19 disease as a global pandemic. Large-scale vaccination is considered the most promising method for limiting disease transmission, reduce deaths and end the pandemic. However, distributing COVID-19 vaccines in a timely and equitable manner is a complicated task. To solve this issue WHO, Coalition for Epidemic Preparedness Innovations (CEPI) and Global Alliance for Vaccines and Immunization (GAVI) initiated a worldwide initiative called COVAX that aims for an equitable access for COVID-19 Vaccines. This research aims to define a new approach to manage the distribution of the COVID-19 vaccine through COVAX facility and to compare it to COVAX first allocation phase. Our results show the limitations of a two-player game approach between a country and the COVAX facility. We were able to show that there are no pure nor multiple Nash equilibrium given our assumptions. Moreover, even in the case of mixed Nash equilibrium, having the country always be truthful in reporting their readiness and COVAX Faculty to always trust will not be fully achievable. Thus, the Vickrey–Clarke–Groves (VCG) mechanism was applied to solve this issue. Online public data were used to find the characteristics of the utility function by having four different countries with different death and readiness. The results illustrated that (1) VCG is indeed truthful mechanism because a country will not benefit from being untruthful by getting penalized, leading to less benefit, (2) when the deaths are greater than 1 per 100K, the COVAX facility will allocate vaccines that are equal to the country’s vaccine administration readiness. Furthermore, when compared to the official COVAX allocation mechanism, our mechanism reduces several verifying steps and therefore reduce the overall allocation process time.

History

Language

  • English

Publication Year

  • 2022

License statement

© The author. The author has granted HBKU and Qatar Foundation a non-exclusive, worldwide, perpetual, irrevocable, royalty-free license to reproduce, display and distribute the manuscript in whole or in part in any form to be posted in digital or print format and made available to the public at no charge. Unless otherwise specified in the copyright statement or the metadata, all rights are reserved by the copyright holder. For permission to reuse content, please contact the author.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU

Degree Date

  • 2022

Degree Type

  • Master's

Advisors

Luluwah Al-Fagih

Committee Members

Brenno Menezes ; Sanjay Chawla ; Jens Schneider

Department/Program

College of Science and Engineering

Usage metrics

    College of Science and Engineering - HBKU

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC