ArticleEvolutionary applications2018
Inferring epidemiologic dynamics from viral evolution: 2014-2015 Eurasian/North American highly pathogenic avian influenza viruses exceed transmission threshold,
Article in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- When hosts gather: how extreme seasonal aggregation affects epidemiological outcomes.Infectious Disease Modelling · 2026Article
- Assessing HPAI-H5 transmission risk across wild bird migratory flyways in the United States.Nature communications · 2026Article
- Bayesian Phylodynamic Inference of Multitype Population Trajectories Using Genomic Data.Molecular biology and evolution · 2025Article
- Investigation of risk factors for introduction of highly pathogenic avian influenza H5N1 virus onto table egg farms in the United States, 2022: a case-control study.Frontiers in veterinary science · 2023Article
- Investigation of risk factors for introduction of highly pathogenic avian influenza H5N1 infection among commercial turkey operations in the United States, 2022: a case-control study.Frontiers in veterinary science · 2023Article
- Article
- Disentangling the role of poultry farms and wild birds in the spread of highly pathogenic avian influenza virus in Europe.Virus evolution · 2022Article
- Highly pathogenic avian influenza virus H5N2 (clade 2.3.4.4) challenge of mallards age appropriate to the 2015 midwestern poultry outbreak.Influenza and other respiratory viruses · 2021Article
- Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry.Scientific reports · 2020Article
- Agricultural and geographic factors shaped the North American 2015 highly pathogenic avian influenza H5N2 outbreak.PLoS pathogens · 2020Article
- Confronting models with data: the challenges of estimating disease spillover.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
- Comparative micro-epidemiology of pathogenic avian influenza virus outbreaks in a wild bird population.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Transmission Dynamics of Highly Pathogenic Avian Influenza Virus A(H5Nx) Clade 2.3.4.4, North America, 2014-2015.Emerging infectious diseases · 2018Article
- Inferring epidemiologic dynamics from viral evolution: 2014-2015 Eurasian/North American highly pathogenic avian influenza viruses exceed transmission threshold,Evolutionary applications · 2018Article
- Evolutionary perspectives on human infectious diseases: Challenges, advances, and promises.Evolutionary applications · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Highly pathogenic avian influenza virus (HPAIV) is a multihost pathogen with lineages that pose health risks for domestic birds, wild birds, and humans. One mechanism of intercontinental HPAIV spread is through wild bird reservoirs, and wild birds were the likely sources of a Eurasian (EA) lineage HPAIV into North America in 2014. The introduction resulted in several reassortment events with North American (NA) lineage low-pathogenic avian influenza viruses and the reassortant EA/NA H5N2 went on to cause one of the largest HPAIV poultry outbreaks in North America. We evaluated three hypotheses about novel HPAIV introduced into wild and domestic bird hosts: (i) transmission of novel HPAIVs in wild birds was restricted by mechanisms associated with highly pathogenic phenotypes; (ii) the HPAIV poultry outbreak was not self-sustaining and required viral input from wild birds; and (iii) reassortment of the EA H5N8 generated reassortant EA/NA AIVs with a fitness advantage over fully Eurasian lineages in North American wild birds. We used a time-rooted phylodynamic model that explicitly incorporated viral population dynamics with evolutionary dynamics to estimate the basic reproductive number (
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