Evidence map›Paper›PMID 40740369›Full record

ArticleFrontiers in public health2025

Highly pathogenic avian influenza: pandemic preparedness for a scenario of high lethality with no vaccines.

Cristina Possas, Ernesto T A Marques, Alessandra Oliveira, Suzanne Schumacher, Marilda M Siqueira, John McCauley, Adelaide Antunes, Akira Homma

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Cristina PossasBio-Manguinhos, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Ernesto T A MarquesAggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife, Brazil.
Alessandra OliveiraChemical Industry Information System - SIQUIM, School of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Suzanne SchumacherChemical Industry Information System - SIQUIM, School of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Marilda M SiqueiraLaboratory of Respiratory Viruses, Exanthematous Viruses, Enteroviruses, and Viral Emergencies, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
John McCauleyWorldwide Influenza Centre, The Francis Crick Institute, London, United Kingdom.
Adelaide AntunesChemical Industry Information System - SIQUIM, School of Chemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Akira HommaBio-Manguinhos, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly Pathogenic Avian Influenza (HPAI) viruses, particularly H5N1 and H7N9, have long been considered potential pandemic threats, despite the absence of sustained human-to-human transmission. However, recent outbreaks in previously unaffected regions, such as Antarctica, suggest we may be shifting from theoretical risk to a more imminent threat. These viruses are no longer limited to avian populations. Their increasing appearance in mammals, including dairy cattle and domestic animals, raises the likelihood of viral reassortment and mutations that could trigger a human pandemic. If such a scenario unfolds, the world may face a crisis marked by high transmissibility and lethality, without effective vaccines readily available. Unlike the COVID-19 pandemic, when vaccines were rapidly developed despite inequities in access, the current influenza vaccine production model, largely reliant on slow, egg-based technologies, is insufficient for a fast-moving outbreak. While newer platforms show promise, they remain in early stages and cannot yet meet global demand, which alerts to the urgent need for accelerating vaccine and drug development, especially universal vaccines, next-generation vaccine platforms designed to provide broad, long-lasting protection against a wide spectrum of HPAI virus subtypes and strains. Here we propose a paradigmatic shift toward a more integrated, digitalized One Health surveillance system that links human, animal, and environmental data, especially in high-risk spillover regions. We underscore that Artificial Intelligence can revolutionize pandemic preparedness strategies, from improving early detection to speeding up vaccine and drug development and access to medical care, but should not be considered a stand-alone solution.

Indexed as

Influenza A Virus, H5N1 SubtypeInfluenza, HumanInfluenza in BirdsInfluenza VaccinesPandemicsAnimalsBirdsHumansInfluenza A Virus, H7N9 SubtypePandemic PreparednessInfluenza Vaccinesartificial intelligenceHPAImutationpandemic preparednessspillovervaccine governance

Identifiers

PMID40740369
PMCPMC12307385

What OpenQuestion holds

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LicenceCC BY
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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.