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Multiannual patterns of influenza A transmission in Chinese live bird market systems

tetano

Editor, Senior Moderator
Influenza Other Respi Viruses. 2012 Mar 27. doi: 10.1111/j.1750-2659.2012.00354.x. [Epub ahead of print]
Multiannual patterns of influenza A transmission in Chinese live bird market systems.
Pepin KM, Wang J, Webb CT, Smith GJ, Poss M, Hudson PJ, Hong W, Zhu H, Riley S, Guan Y.
Source

International Institution of Infection and Immunity, Shantou University Medical College, Shantou, China Colorado State University, Fort Collins, CO, USA Fogarty International Center, National Institutes of Health, Bethesda, MD, USA State Key Laboratory of Emerging Infectious Diseases, The University of Hong Kong, Hong Kong SAR, China Duke-NUS Graduate Medical School, Singapore Penn State University, State College, PA, USA MRC Centre for Outbreak Analysis and Modelling, Imperial College London, London, UK.
Abstract

Please cite this paper as: Pepin et al. (2012) Multiannual patterns of influenza A transmission in Chinese live bird market systems. Influenza and Other Respiratory Viruses DOI: 10.1111/j.1750-2659.2012.00354.x. Background  Avian influenza viruses (AIV) cause huge economic losses in poultry industries and pose a substantial threat to human health. However, predicting AIV epizootics and emergence in humans is confounded by insufficient empirical data on the ecology and dynamics of AIV in poultry systems. To address this gap, we quantified incidence patterns for 13 hemagglutinin subtypes of AIV using 6 years of surveillance data that were collected from ten different species of poultry and three different types of poultry holdings (contexts) - retail, wholesale, or farms. Methods  We collected 42 646 samples in Shantou, China between 2000 and 2006. We screened samples for hemagglutinin subtypes 1-13 of AIV and Avian Paramyxovirus-type-1 (APMV-1) using monospecific antisera in hemagglutination inhibition tests. We analyzed the data to determine seasonality patterns, subtype-host, and subtype-subtype interactions as well as subtype bias in incidence in different contexts. Results  H3, H6, H9, and APMV-1 were the most prevalent. No significant seasonality was found when all subtypes were considered together. For most AIV subtypes and APMV-1, there was subtype specificity for host, context, and coinfection partner. H5 showed the most generalized host usage pattern, followed by H9 and H6. Conclusion  Subtype-specific patterns because of host, context, and other subtypes suggest that risk assessments that exclude these details are likely inaccurate. Surveillance should include longitudinal sampling of multiple host species in multiple contexts. Quantitative models of control strategies must consider multiple subtypes, hosts, and source contexts to assess the effectiveness of interventions.

? 2012 Blackwell Publishing Ltd.

PMID:
22458429
[PubMed - as supplied by publisher]

http://www.ncbi.nlm.nih.gov/pubmed/22458429
 
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