Evidence map›Paper›PMID 41293455›Full record

ArticleTransboundary and emerging diseases2025

Quantifying Time-Dependent Predictors for the International Spatial Spread of Highly Pathogenic Avian Influenza H5NX: Focus on Trade and Surveillance Efforts.

Lina Awada, Bram Vrancken, Julien Thézé, Christian Ducrot, Paolo Tizzani, Simon Dellicour, Alice Fusaro, Karine Chalvet-Monfray

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Lina AwadaWorld Organisation for Animal Health, Paris 75017, France.ORCID https://orcid.org/0000-0002-8207-6548
Bram VranckenKU Leuven, Department of Microbiology, Immunology and Transplantation, Division of Clinical and Epidemiological Virology, Rega Institute for Medical Research, Leuven, Belgium.ORCID https://orcid.org/0000-0001-6547-5283
Julien ThézéUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, Saint-Genès-Champanelle, France.ORCID https://orcid.org/0000-0001-8188-9494
Christian DucrotUniv Montpellier, UMR ASTRE, CIRAD, INRAE, Montpellier, France.ORCID https://orcid.org/0000-0003-1418-7446
Paolo TizzaniWorld Organisation for Animal Health, Paris 75017, France.ORCID https://orcid.org/0000-0003-2603-4172
Simon DellicourKU Leuven, Department of Microbiology, Immunology and Transplantation, Division of Clinical and Epidemiological Virology, Rega Institute for Medical Research, Leuven, Belgium.ORCID https://orcid.org/0000-0001-9558-1052
Alice FusaroIstituto Zooprofilattico Sperimentale delle Venezie (IZSVe), Viale dell'Università 10, Legnaro 35020, Italy.ORCID https://orcid.org/0000-0002-8213-5472
Karine Chalvet-MonfrayUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, Saint-Genès-Champanelle, France.ORCID https://orcid.org/0000-0003-0904-4539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The multiple waves of intercontinental transmission of the highly pathogenic avian influenza (HPAI) H5Nx Gs/GD lineage since its identification in 1996 are testament to its resistance to control and prevention efforts. Knowledge of the predictors of HPAI international spread can help identify strengths as well as areas for improvement in surveillance and controlling HPAI. We used 10 years of data with quarterly granularity from the World Organization for Animal Health (WOAH), United Nations (UN), International Union for Conservation of Nature (IUCN), and genetic databases for 2.3.2.1c and 2.3.4.4b H5Nx clades, to determine the impact on international viral spread of (1) six categories of poultry commodities of legal international trade, (2) wild birds' migration, (3) five types of preventive measures, (4) resources allocated to veterinary services, and (5) geographic distance between countries. Two analytical approaches were used: a generalized linear mixed model (GLMM) for all targeted countries, based on epidemiological, trade, and bird migration data. Then, phylogeography-informed generalized linear models (GLMs) with time-dependent predictors were specified for analyzing the HPAI spread between countries with available genetic data. The main conclusions of this study are that results suggested (1) a role of poultry trade in disease spread; (2) a role of migratory birds in disease spread; (3) a strong role of proximity between countries in disease spread; (4) a protective effect for resources allocated to veterinary services; and (5) a protective effect for precautions at borders in exposed countries (protective against informal trade). Our findings show the importance of proper implementation of preventive measures, as advocated in WOAH standards. In addition, our results show the complementarity of epidemiological, trade, biological, and genetic data to trace back international H5NX spread.

Indexed as

Influenza A virusInfluenza in BirdsAnimal MigrationAnimalsAnimals, WildBirdsCommercePoultryTime Factorshighly pathogenic avian influenzamigratory birdsphylogeographypoultry tradesurveillance and preventive measurestransboundary spread

Identifiers

PMID41293455
PMCPMC12643678

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.