Evidence map›Paper›PMID 42430338›Full record

ReviewPLOS global public health2026

Azithromycin mass drug administration to reduce childhood mortality in humanitarian crises.

Gregory Barnsley, Matthew Coldiron, Neal Russell, Aula Abbara, Douglas James Noble, Stefan Flasche, Kevin van Zandvoort, Bhargavi Rao

Abstract readReview
In one paragraph

Review in PLOS global public health, 2026. 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

8 authors.

Gregory BarnsleyDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0001-7972-0737
Matthew ColdironMédecins Sans Frontières, London, United Kingdom.ORCID https://orcid.org/0000-0002-3345-5971
Neal RussellMédecins Sans Frontières, London, United Kingdom.
Aula AbbaraMédecins Sans Frontières, London, United Kingdom.
Douglas James NobleUNICEF HQ, New York, New York, United States of America.ORCID https://orcid.org/0009-0006-2335-5367
Stefan FlascheDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Kevin van ZandvoortDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Bhargavi RaoMédecins Sans Frontières, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Azithromycin mass drug administration (MDA) can reduce under-5 mortality in stable but high-mortality settings, yet its potential in humanitarian crises remains undefined. This review proposes that azithromycin MDA could support existing humanitarian interventions and help address mortality from respiratory and gastrointestinal infections in displaced populations. Mortality rates in crises frequently exceed WHO recommended thresholds for initiating MDA. Operationally, the MDA is feasible, low-cost, and synergises with existing relief efforts like vaccination. While antimicrobial resistance (AMR) is a serious concern, the proposed use, likely a single round or short-term intervention during acute emergencies, may mitigate long-term resistance selection compared to routine biannual dosing. The potential to rapidly reduce excess mortality may outweigh the AMR risks. Azithromycin MDA represents a promising new tool for humanitarian health, though evidence-based protocols and resistance monitoring strategies must be developed through further research.

Identifiers

PMID42430338
PMCPMC13353972

What OpenQuestion holds

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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.