4.4 Article

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

期刊

INFLUENZA AND OTHER RESPIRATORY VIRUSES
卷 7, 期 1, 页码 97-107

出版社

WILEY
DOI: 10.1111/j.1750-2659.2012.00354.x

关键词

Avian influenza; coinfection; H5N1; host specificity; live bird market; risk

资金

  1. National Institutes of Health (National Institute of Allergy and Infectious Diseases) [HSN266200700005C]
  2. Li Ka Shing Foundation
  3. Area of Excellence Scheme of the UGC of the Hong Kong SAR [AoE/M-12/06]
  4. RAPIDD program of the Science and Technology Directorate, US Department of Homeland Security
  5. Fogarty International Center, NIH
  6. National Science Foundation [0742373]
  7. NIH Fogarty Center [R01 TW008246-01]
  8. US National Institutes of Health MIDAS program
  9. Wellcome Trust
  10. FOGARTY INTERNATIONAL CENTER [R01TW008246] Funding Source: NIH RePORTER
  11. NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [U54GM088491] Funding Source: NIH RePORTER
  12. MRC [G0600719, MR/K010174/1] Funding Source: UKRI
  13. Medical Research Council [G0600719, G0600719B, MR/K010174/1] Funding Source: researchfish

向作者/读者索取更多资源

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 113 of AIV and Avian Paramyxovirus-type-1 (APMV-1) using monospecific antisera in hemagglutination inhibition tests. We analyzed the data to determine seasonality patterns, subtypehost, and subtypesubtype 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.

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