Evidence map›Paper›PMID 41907063›Full record

ArticleVirus evolution2026

Continuous phylogeography reveals shifting environmental drivers of highly pathogenic avian influenza H5 spread in Italy, 2016-23.

Diletta Fornasiero, Paolo Mulatti, Alice Fusaro, Isabella Monne, Fabiana Gámbaro, Simon Dellicour, Francesca Scolamacchia, Luca Martelli, Giulia Faustini, Mariette F Ducatez and 1 more

Abstract read
In one paragraph

Article in Virus evolution, 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

11 authors.

Diletta FornasieroIstituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Italy.ORCID https://orcid.org/0000-0002-7655-1242
Paolo MulattiIstituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Italy.ORCID https://orcid.org/0000-0001-8188-997X
Alice FusaroIstituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Italy.ORCID https://orcid.org/0000-0002-8213-5472
Isabella MonneIstituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Italy.ORCID https://orcid.org/0000-0002-6564-4689
Fabiana GámbaroSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), 50 av. F.D. Roosevelt, 1050 Bruxelles, Belgium.ORCID https://orcid.org/0000-0001-7760-2112
Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), 50 av. F.D. Roosevelt, 1050 Bruxelles, Belgium.ORCID https://orcid.org/0000-0001-9558-1052
Francesca ScolamacchiaIstituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Italy.ORCID https://orcid.org/0000-0003-2509-937X
Luca MartelliIstituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Italy.ORCID https://orcid.org/0009-0000-0427-4277
Giulia FaustiniIstituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna "Bruno Ubertini" (IZSLER), Via A. Bianchi 9, 25124, Brescia, Italy.ORCID https://orcid.org/0000-0002-1268-2622
Mariette F DucatezUniv Toulouse, ENVT, INRAE, Interactions Hôtes-Agents Pathogènes (IHAP), 23 chemin des Capelles - BP 87614 - 31076 Toulouse Cedex 3, France.ORCID https://orcid.org/0000-0001-9632-5499
Claire GuinatUniv Toulouse, ENVT, INRAE, Interactions Hôtes-Agents Pathogènes (IHAP), 23 chemin des Capelles - BP 87614 - 31076 Toulouse Cedex 3, France.ORCID https://orcid.org/0000-0002-8245-9290

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing global spread of highly pathogenic avian influenza (HPAI) continues causing major impacts on poultry, wildlife, and public health. Among the most affected countries in Europe, Italy experienced three major epidemic waves in 2016-23, caused by 2.3.4.4b H5N8 and H5N1 subtypes. Yet, the underlying spatio-temporal dispersal dynamics and drivers of these epidemics remain to be elucidated. Here, we combined viral genome sequencing with continuous phylogeographic inference to reconstruct the evolutionary and spatio-temporal history of these epidemics. By combining genetic data with landscape, poultry-related variables, and wild bird abundances, we explored how the environment was associated with viral diffusion in space and time. We identified distinct diffusion patterns and environmental associations across the three epidemics. The first two waves (2016-17 and 2021-22) were dominated by local poultry-to-poultry transmission in high-density farming areas, with agricultural areas being significantly associated with a relatively higher viral lineage dispersal velocity in 2021-22. In contrast, the most recent wave (2022-23) showed evidence of mid- to long-distance dispersal events positively associated with wetlands, waterbodies, and gull abundances, pointing to a larger role of wild birds in HPAI spatial dynamics. The estimated weighted diffusion coefficients and spatial wavefront distances revealed a shift from localised poultry-driven to long-distance spread, likely related to wild birds. Our findings highlight a progressive shift from poultry-driven epidemics to more complex environmental transmission dynamics involving wild birds and natural habitats. These changes underscore the need to adapt surveillance and control strategies to an evolving and ecologically diverse viral landscape.

Indexed as

environmental driversHPAIphylogeographyviral lineage spread locationviral lineage spread velocity

Identifiers

PMID41907063
PMCPMC13032826

What OpenQuestion holds

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LicenceCC BY-NC
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.