Evidence map›Paper›PMID 41281383›Full record

ArticlePublic humanities2025

A Just Transition for Antimicrobial Resistance: The Need for More Forms and a Broader Scope of Justice.

Natalie Tegama, Lovro Savić, Susan Bull, Caesar Atuire, Tess Johnson

Abstract read
In one paragraph

Article in Public humanities, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Natalie TegamaCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Lovro SavićEthox Centre, Oxford Population Health, University of Oxford, Oxford, UK.
Susan BullFaculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
Caesar AtuireCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Tess JohnsonEthox Centre, Oxford Population Health, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-2071-4302

Funding

Wellcome Trust 221719
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a global public health challenge that, like climate change, demands urgent, coordinated, multi-sectoral action. Yet, responses to AMR may be ill-suited to local contexts, overlook historical inequalities, or dismiss marginalised knowledge systems. Some of these concerns can be discussed using the concept of a just transition, which aims to ensure that "no one is left behind," "all voices are heard," and past injustices are addressed. However, framing justice in these terms is insufficient. We argue for a more multifaceted and broader-scoped understanding of what justice demands in a just transition for AMR. We examine existing justice frameworks in AMR literature and discuss two cases that motivate our call for including both more forms of justice in a multifaceted concept of a just transition and a broader scope of justice. The first case involves over-the-counter antibiotic access in the Kibera informal settlement near Nairobi, highlighting structural injustices resulting from colonial oppression and what an Ubuntu philosophy would show as injustice. The second case concerns veterinary prescription requirements for Maasai pastoralists' livestock farming in southern Kenya and highlights epistemic and distributive injustices, as well as injustices that befall non-human animals. These examples reveal distinct injustices shaped by socio-cultural and ecological contexts.

Indexed as

antibiotic stewardshipantimicrobial resistanceclimate policyepistemic justicejust transition

Identifiers

PMID41281383
PMCPMC7618393

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.