Mechanism design for a fair and equitable approach to global vaccine distribution: The case of COVID-19.


Journal

PLOS global public health
ISSN: 2767-3375
Titre abrégé: PLOS Glob Public Health
Pays: United States
ID NLM: 9918283779606676

Informations de publication

Date de publication:
2023
Historique:
received: 31 01 2023
accepted: 29 11 2023
medline: 28 12 2023
pubmed: 28 12 2023
entrez: 28 12 2023
Statut: epublish

Résumé

Vaccines are one of the most effective tools humanity has in the fight against pandemics. One of the major challenges of vaccine distribution is achieving fair and equitable allocation across the countries of the world, regardless of their economic wealth. The self-interested behaviour of high-income countries and the underutilisation of vaccines allocated to underprepared countries are some of the failures reported during COVID-19 vaccine roll-out. These shortcomings have motivated the need for a central market mechanism that takes into account the countries' vulnerability to COVID-19 and their readiness to distribute and administer their allocated vaccines. In this paper, we leverage game theory to study the problem of equitable global vaccine distribution and propose a fair market mechanism that aligns self-interested behaviour with optimal global objectives. First, we model the interaction between a central vaccine provider (e.g. COVAX) and a country reporting its demand as a two-player game, and discuss the Nash and mixed Nash equilibria of that game. Then, we propose a repeated auction mechanism with an artificial payment system for allocating vaccines among participating countries, where each auction round is based on a Vickrey-Clarke-Groves (VCG) mechanism. The proposed allocation mechanism aims at minimising deaths and incentivises the self-interested countries to report their demand truthfully. Compared with real-world COVAX allocation decisions, our results show that the proposed auction mechanism achieves more efficient outcomes that maximise the number of averted deaths. Pragmatic considerations are investigated and policy recommendations are discussed.

Identifiants

pubmed: 38153908
doi: 10.1371/journal.pgph.0001711
pii: PGPH-D-23-00163
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0001711

Informations de copyright

Copyright: © 2023 Abedrabboh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Khaled Abedrabboh (K)

Division of Sustainable Development, College of Science and Engineering, Qatar Foundation, Hamad Bin Khalifa University, Doha, Qatar.

Lolwa Al-Majid (L)

Division of Engineering Management and Decision Sciences, College of Science and Engineering, Qatar Foundation, Hamad Bin Khalifa University, Doha, Qatar.

Zaid Al-Fagih (Z)

Rhazes AI, London, United Kingdom.

Luluwah Al-Fagih (L)

Division of Sustainable Development, College of Science and Engineering, Qatar Foundation, Hamad Bin Khalifa University, Doha, Qatar.
School of Computer Science and Mathematics, Kingston University, London, United Kingdom.

Classifications MeSH