Evidence map›Paper›PMID 41603362›Full record

ArticleeLife2026

Global risk mapping of highly pathogenic avian influenza H5N1 and H5Nx in the light of epidemic episodes occurring from 2020 onwards.

Marie-Cécile Dupas, Maria F Vincenti-Gonzalez, Madhur Dhingra, Claire Guinat, Timothée Vergne, William Wint, Guy Hendrickx, Cedric Marsboom, Marius Gilbert, Simon Dellicour

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

10 authors.

Marie-Cécile Dupas *Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID https://orcid.org/0000-0002-8769-2243
Maria F Vincenti-Gonzalez *Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Madhur DhingraFood and Agriculture Organization of the United Nations, Rome, Italy.
Claire GuinatInteractions Hôtes-Agents Pathogènes (IHAP), Université de Toulouse, Toulouse, France.
Timothée VergneInteractions Hôtes-Agents Pathogènes (IHAP), Université de Toulouse, Toulouse, France.
William WintEnvironmental Research Group Oxford Ltd, c/o Department of Biology, Oxford, United Kingdom.
Guy HendrickxAvia-GIS research department, Avia-GIS, Zoersel, Belgium.
Cedric MarsboomSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Marius GilbertSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels, Belgium.ORCID https://orcid.org/0000-0001-9558-1052

Funding

Belgian Federal Science Policy Office TD/231/BE-PINFonds De La Recherche Scientifique - FNRS F.4515.22Fonds Wetenschappelijk Onderzoek G098321NHorizon 2020 Framework Programme 101094685Horizon 2020 Framework Programme 874850Marie Skłodowska-Curie Actions (MSCA) of the European Commission 101167768UK Research and Innovation B/S011269/1
6 · The paper itself

Abstract

Avian influenza (AI) is a highly contagious viral disease affecting poultry and wild water birds, posing significant global challenges due to its high mortality rates and economic impacts. Highly pathogenic avian influenza (HPAI) outbreaks, particularly those caused by H5N1 and its variants, have surged since 1959. The HPAI H5N1 clade 2.3.4.4b viruses have notably expanded their geographical reach, affecting numerous countries, diverse avian species, and now mammals. Using an ecological niche modelling approach, this study aims to elucidate the environmental factors associated with increased HPAI H5 cases since 2020, investigate potential shifts in ecological niches, and predict new areas suitable for viral circulation. We developed ecological niche models for HPAI cases in wild and domestic birds across two distinct periods: 2015-2020 and 2020-2022. Key environmental predictors include chicken and duck population density, human density, distance to water bodies, and land cover variables. Post-2020, we observe increased relative influence of predictors such as intensive chicken population density and cultivated vegetation. Risk maps reveal notable ecological suitability for HPAI H5 circulation in Europe, Asia, and the Americas, with significant expansions of at-risk areas post-2020. Wild bird H5 occurrences appear primarily correlated with urban areas and open water regions. Our analyses also highlight a potential shift in affected wild bird species diversity, with more avian species, particularly sea birds, impacted post-2020. Overall, these results further contribute to the understanding of HPAI epidemiology and identify regions where surveillance and control measures should be prioritised.

Indexed as

Influenza A Virus, H5N1 SubtypeInfluenza in BirdsAmericasAnimal HusbandryAnimalsAnimals, WildAsiaBirdsChickensDisease OutbreaksEcologyEpidemicsEuropeModels, StatisticalPoultryavian influenzachickenepidemiologyglobal healthpoultryrisk mappingwild birds

Identifiers

PMID41603362
PMCPMC12851579

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.