ArticleEmerging microbes & infections2018
Characterising routes of H5N1 and H7N9 spread in China using Bayesian phylogeographical analysis.
Article in Emerging microbes & infections, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Transmission Pathways of Zoonotic Influenza Viruses and Influencing Factors: A Systematic Review of Recent Findings.Viruses · 2025Pooled it
- Spatiotemporal distribution trends and driving factors of avian influenza in poultry in China.One health (Amsterdam, Netherlands) · 2026Article
- Poultry farm density and proximity drive highly pathogenic avian influenza spread.Communications biology · 2025Article
- Quantifying Time-Dependent Predictors for the International Spatial Spread of Highly Pathogenic Avian Influenza H5NX: Focus on Trade and Surveillance Efforts.Transboundary and emerging diseases · 2025Article
- Origin and cross-species transmission of bat coronaviruses in China.Nature communications · 2024Article
- Risk distribution of human infections with avian influenza A (H5N1, H5N6, H9N2 and H7N9) viruses in China.Frontiers in public health · 2024Article
- Phylodynamic analysis revealed that human mobility and vaccination were correlated to the local spread of SARS-CoV-2 in Republic of Korea.Emerging microbes & infections · 2023Article
- Investigating the Genetic Diversity of H5 Avian Influenza Viruses in the United Kingdom from 2020-2022.Microbiology spectrum · 2023Article
- Bayesian phylodynamics reveals the transmission dynamics of avian influenza A(H7N9) virus at the human-live bird market interface in China.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Proteomic analysis reveals zinc-finger CCHC-type containing protein 3 as a factor inhibiting virus infection by promoting innate signaling.Virus research · 2022Article
- Emergence of a young case infected with avian influenza A (H5N6) in Anhui Province, East China during the COVID-19 pandemic.Journal of medical virology · 2021Article
- Transport of Moving Duck Flocks in Indonesia and Vietnam: Management Practices That Potentially Impact Avian Pathogen Dissemination.Frontiers in veterinary science · 2021Article
- Origin and cross-species transmission of bat coronaviruses in China.Nature communications · 2020Article
- Genetic diversity, phylogeography, and evolutionary dynamics of highly pathogenic avian influenza A (H5N6) viruses.Virus evolution · 2020Article
- Truncation or Deglycosylation of the Neuraminidase Stalk Enhances the Pathogenicity of the H5N1 Subtype Avian Influenza Virus in Mallard Ducks.Frontiers in microbiology · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Avian influenza H5N1 subtype has caused a global public health concern due to its high pathogenicity in poultry and high case fatality rates in humans. The recently emerged H7N9 is a growing pandemic risk due to its sustained high rates of human infections, and recently acquired high pathogenicity in poultry. Here, we used Bayesian phylogeography on 265 H5N1 and 371 H7N9 haemagglutinin sequences isolated from humans, animals and the environment, to identify and compare migration patterns and factors predictive of H5N1 and H7N9 diffusion rates in China. H7N9 diffusion dynamics and predictor contributions differ from H5N1. Key determinants of spatial diffusion included: proximity between locations (for H5N1 and H7N9), and lower rural population densities (H5N1 only). For H7N9, additional predictors included low avian influenza vaccination rates, low percentage of nature reserves and high humidity levels. For both H5N1 and H7N9, we found viral migration rates from Guangdong to Guangxi and Guangdong to Hunan were highly supported transmission routes (Bayes Factor > 30). We show fundamental differences in wide-scale transmission dynamics between H5N1 and H7N9. Importantly, this indicates that avian influenza initiatives designed to control H5N1 may not be sufficient for controlling the H7N9 epidemic. We suggest control and prevention activities to specifically target poultry transportation networks between Central, Pan-Pearl River Delta and South-West regions.
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