Evidence map›Paper›PMID 35487676›Full record

ArticleJournal of medical ethics2023

Towards a new model of global health justice: the case of COVID-19 vaccines.

Nancy S Jecker, Caesar A Atuire, Susan J Bull

Abstract read
In one paragraph

Article in Journal of medical ethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Lessons fromJournal of medical ethics · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nancy S JeckerSchool of Medicine, Department of Bioethics & Humanities, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-5642-748X
Caesar A AtuireDepartment of Philosophy and Classics, University of Ghana, Accra, Ghana.ORCID 0000-0001-6825-6916
Susan J BullThe Ethox Centre & Wellcome Centre for Ethics and Humanities, Nuffield Department of Population Health, University of Oxford, Oxford, UK susan.bull@ethox.ox.ac.uk.ORCID 0000-0002-9730-091X

Funding

Wellcome Trust 096527Wellcome Trust 221559/Z/20/Z
6 · The paper itself

Abstract

This paper questions an exclusively state-centred framing of global health justice and proposes a multilateral alternative. Using the distribution of COVID-19 vaccines to illustrate, we bring to light a broad range of global actors up and down the chain of vaccine development who contribute to global vaccine inequities. Section 1 (Background) presents an overview of moments in which diverse global actors, each with their own priorities and aims, shaped subsequent vaccine distribution. Section 2 (Collective action failures) characterises collective action failures at each phase of vaccine development that contributed to global vaccine disparities. It identifies as critical the task of establishing upstream strategies to coordinate collective action at multiple stages across a range of actors. Section 3 (A Multilateral model of global health governance) takes up this task, identifying a convergence of interests among a range of stakeholders and proposing ways to realise them. Appealing to a responsibility to protect (R2P), a doctrine developed in response to human rights atrocities during the 1990s, we show how to operationalise R2P through a principle of subsidiarity and present ethical arguments in support of this approach.

Indexed as

COVID-19COVID-19 VaccinesGlobal HealthHuman RightsHumansSocial JusticeCOVID-19 VaccinesCOVID-19EthicsInternationalityResource AllocationRight to Health

Identifiers

PMID35487676
PMCPMC9072783

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.