| Literature DB >> 33837046 |
Siddhanth Sharma1, Nisrine Kawa2, Apoorva Gomber2.
Abstract
The COVID-19 Vaccines Global Access Facility (COVAX) represents an unprecedented global collaboration facilitating the development and distribution of vaccines for COVID-19. COVAX pools and channels funds from state and non-state actors to promising vaccine candidates, and has started to distribute successful candidates to participating states. The WHO, one of the leaders of COVAX, recognised vaccine doses would initially be scarce, and therefore, prepared a two-staged allocation mechanism they considered fair. In the first stage, vaccine doses are distributed equally among participating countries, while in the second stage vaccine doses will be allocated according to a country's need. Ethicists have questioned whether this is the fairest distribution-they argue a country's need should be taken into account from the start and correspondingly, have proposed a framework that treats individuals with equal moral concern, aims to minimise harm and gives priority to the worst-off. In this paper, we seek to explore these concerns by comparing COVAX's allocation mechanism to a targeted allocation based on need. We consider which distribution would more likely maximise well-being and align with principles of equity. We conclude that although in theory, a targeted distribution in proportion to a country's need would be more morally justifiable, when political realities are taken into account, an equal distribution seems more likely to avert a greater number of deaths and reduce disparities. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: COVID-19; allocation of health care resources; decision-making; distributive justice; public health ethics
Mesh:
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Year: 2021 PMID: 33837046 PMCID: PMC8042584 DOI: 10.1136/medethics-2020-107152
Source DB: PubMed Journal: J Med Ethics ISSN: 0306-6800 Impact factor: 5.926
Figure 1Cumulative confirmed COVID-19 deaths in selected countries. Reproduced from Our World in Data. Data source: Johns-Hopkins University Centre for Systems Science and Engineering COVID-19.
Figure 2Decision-tree estimating the expected deaths averted for proposing an equal or targeted distribution.