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Assessing the role of live poultry trade in community-structured transmission of avian influenza in China

Proceedings of the National Academy of Sciences - PNAS, 2020-03, Vol.117 (11), p.5949-5954 [Peer Reviewed Journal]

Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Mar 17, 2020 ;info:eu-repo/semantics/openAccess ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1906954117 ;PMID: 32123088

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  • Title:
    Assessing the role of live poultry trade in community-structured transmission of avian influenza in China
  • Author: Yang, Qiqi ; Zhao, Xiang ; Lemey, Philippe ; Suchard, Marc A. ; Bi, Yuhai ; Shi, Weifeng ; Liu, Di ; Qi, Wenbao ; Zhang, Guogang ; Stenseth, Nils Chr ; Pybus, Oliver G. ; Tian, Huaiyu
  • Subjects: Avian flu ; Biological Sciences ; Bird migration ; Birds ; Community structure ; Developing countries ; Genomes ; Influenza ; Influenza A ; LDCs ; Network analysis ; Poultry ; Trade ; Viruses
  • Is Part Of: Proceedings of the National Academy of Sciences - PNAS, 2020-03, Vol.117 (11), p.5949-5954
  • Description: The live poultry trade is thought to play an important role in the spread and maintenance of highly pathogenic avian influenza A viruses (HP AIVs) in Asia. Despite an abundance of small-scale observational studies, the role of the poultry trade in disseminating AIV over large geographic areas is still unclear, especially for developing countries with complex poultry production systems. Here we combine virus genomes and reconstructed poultry transportation data to measure and compare the spatial spread in China of three key subtypes of AIV: H5N1, H7N9, and H5N6. Although it is difficult to disentangle the contribution of confounding factors, such as bird migration and spatial distance, we find evidence that the dissemination of these subtypes among domestic poultry is geographically continuous and likely associated with the intensity of the live poultry trade in China. Using two independent data sources and network analysis methods, we report a regional-scale community structure in China that might explain the spread of AIV subtypes in the country. The identification of this structure has the potential to inform more targeted strategies for the prevention and control of AIV in China.
  • Publisher: United States: National Academy of Sciences
  • Language: English;Norwegian
  • Identifier: ISSN: 0027-8424
    EISSN: 1091-6490
    DOI: 10.1073/pnas.1906954117
    PMID: 32123088
  • Source: Geneva Foundation Free Medical Journals at publisher websites
    NORA Norwegian Open Research Archives
    PubMed Central
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