• Medientyp: E-Book
  • Titel: A Decision-Making Framework for Supporting an Equitable Global Vaccine Distribution Under Humanitarian Perspectives
  • Beteiligte: Cai, Junyang [Verfasser:in]; Zhou, Jian [Verfasser:in]; Pantelous, Athanasios A. [Verfasser:in]; Li, Musen Kingsley [Verfasser:in]
  • Erschienen: [S.l.]: SSRN, 2023
  • Umfang: 1 Online-Ressource (44 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4289504
  • Identifikator:
  • Schlagwörter: Decision analysis ; Vaccine nationalism ; Data-driven decision-making mathematical models ; Simulation study for COVID-19 pandemic ; Humanitarian perspectives
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 20, 2023 erstellt
  • Beschreibung: During the recent COVID-19 pandemic crisis, several high-income countries pursued vaccine nationalism (i.e., my country first approaches for vaccine distribution), leading to an even wider income inequality between rich and poor countries. This significantly challenged the poorer countries' ability to deliver and administer doses that could slow the spread of the virus elsewhere, as well as preventing it from mutating through the replication process. This paper therefore develops a data-driven, decision-making framework to address this ethical phenomenon with detrimental consequences. Our approach consists of two models, the multi-strain Susceptible-Vaccinated-Infected-Removed-Susceptible network and the vaccine distribution models. The case of the COVID-19 pandemic is then successfully applied to the proposed vaccine distribution framework, and we further simulate the epidemic development as affected by vaccine nationalism, to emphasize its perniciousness and verify the effectiveness of our treatment. Further, we demonstrate that the benefit of vaccine nationalism for high-income countries is only transient, as they will likely suffer from the mutant strain at a later date, when the vaccines are less effective against it
  • Zugangsstatus: Freier Zugang