Evidence map›Paper›PMID 26341298›Full record

ArticleMolecular biology and evolution2015

Bayesian Inference Reveals Host-Specific Contributions to the Epidemic Expansion of Influenza A H5N1.

Nídia Sequeira Trovão, Marc A Suchard, Guy Baele, Marius Gilbert, Philippe Lemey

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

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  5. HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.medRxiv : the preprint server for health sciences · 2026
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  15. Comparative performance of viral landscape phylogeography approaches.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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

5 authors.

Nídia Sequeira TrovãoDepartment of Microbiology and Immunology, Rega Institute, KU Leuven-University of Leuven, Leuven, Belgium nidia.sequeiratrovao@rega.kuleuven.be.
Marc A SuchardDepartments of Biomathematics and Human Genetics, David Geffen School of Medicine, University of California, Los Angeles Department of Biostatistics, UCLA Fielding School of Public Health, University of California, Los Angeles.
Guy BaeleDepartment of Microbiology and Immunology, Rega Institute, KU Leuven-University of Leuven, Leuven, Belgium.
Marius GilbertBiological Control and Spatial Ecology, Université Libre de Bruxelles, Brussels, Belgium Fonds National de la Recherche Scientifique, Brussels, Belgium.
Philippe LemeyDepartment of Microbiology and Immunology, Rega Institute, KU Leuven-University of Leuven, Leuven, Belgium.

Funding

Genomics, GPUs, and Next Generation Computational StatisticsR01HG006139 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SOBEL, ERIC · 2011 to 2023
$5.1M
BAYESIAN MODELING AND DATA INTEGRATION IN INFECTIOUS DISEASE PHYLODYNAMICSR01AI107034 · NIAID · UNIVERSITY OF WASHINGTON · PI MININ, VOLODYMYR · 2013 to 2017
$1.7M
European Research Council 260864NHGRI NIH HHS R01 HG006139NHGRI NIH HHS R01HG006139NIAID NIH HHS R01 AI107034
6 · The paper itself

Abstract

Since its first isolation in 1996 in Guangdong, China, the highly pathogenic avian influenza virus (HPAIV) H5N1 has circulated in avian hosts for almost two decades and spread to more than 60 countries worldwide. The role of different avian hosts and the domestic-wild bird interface has been critical in shaping the complex HPAIV H5N1 disease ecology, but remains difficult to ascertain. To shed light on the large-scale H5N1 transmission patterns and disentangle the contributions of different avian hosts on the tempo and mode of HPAIV H5N1 dispersal, we apply Bayesian evolutionary inference techniques to comprehensive sets of hemagglutinin and neuraminidase gene sequences sampled between 1996 and 2011 throughout Asia and Russia. Our analyses demonstrate that the large-scale H5N1 transmission dynamics are structured according to different avian flyways, and that the incursion of the Central Asian flyway specifically was driven by Anatidae hosts coinciding with rapid rate of spread and an epidemic wavefront acceleration. This also resulted in long-distance dispersal that is likely to be explained by wild bird migration. We identify a significant degree of asymmetry in the large-scale transmission dynamics between Anatidae and Phasianidae, with the latter largely representing poultry as an evolutionary sink. A joint analysis of host dynamics and continuous spatial diffusion demonstrates that the rate of viral dispersal and host diffusivity is significantly higher for Anatidae compared with Phasianidae. These findings complement risk modeling studies and satellite tracking of wild birds in demonstrating a continental-scale structuring into areas of H5N1 persistence that are connected through migratory waterfowl.

Indexed as

Animal MigrationAnimalsAsiaBayes TheoremBiological EvolutionBirdsChinaDisease OutbreaksHost-Pathogen InteractionsInfluenza A Virus, H5N1 SubtypeInfluenza in BirdsPhylogeographyRussiaSequence Analysis, DNABayesian inferencedisease ecologyH5N1phylogeographyviral evolution

Identifiers

PMID26341298
PMCPMC4831561

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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.