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

TitleMultiannual patterns of influenza A transmission in Chinese live bird market systems
Authors
KeywordsAvian influenza
Coinfection
H5N1
Host specificity
Live bird market
Risk
Issue Date2013
PublisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/subs.asp?ref=1750-2640&site=1
Citation
Influenza And Other Respiratory Viruses, 2013, v. 7 n. 1, p. 97-107 How to Cite?
Abstract
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 6years 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 42646 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.
Persistent Identifierhttp://hdl.handle.net/10722/151768
ISSN
2013 Impact Factor: 1.895
ISI Accession Number ID

 

Author Affiliations
  1. Duke-NUS Graduate Medical School Singapore
  2. Colorado State University
  3. The University of Hong Kong
  4. John E. Fogarty International Center for advanced study in the health sciences
  5. Pennsylvania State University
  6. Shantou University, Medical College (SUMC)
  7. Imperial College London
DC FieldValueLanguage
dc.contributor.authorPepin, KMen_HK
dc.contributor.authorWang, Jen_HK
dc.contributor.authorWebb, CTen_HK
dc.contributor.authorSmith, GJDen_HK
dc.contributor.authorPoss, Men_HK
dc.contributor.authorHudson, PJen_HK
dc.contributor.authorHong, Wen_HK
dc.contributor.authorZhu, Hen_HK
dc.contributor.authorRiley, Sen_HK
dc.contributor.authorGuan, Yen_HK
dc.date.accessioned2012-06-26T06:28:07Z-
dc.date.available2012-06-26T06:28:07Z-
dc.date.issued2013en_HK
dc.identifier.citationInfluenza And Other Respiratory Viruses, 2013, v. 7 n. 1, p. 97-107en_HK
dc.identifier.issn1750-2640en_HK
dc.identifier.urihttp://hdl.handle.net/10722/151768-
dc.description.abstractBackground 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 6years 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 42646 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.en_HK
dc.languageengen_US
dc.publisherBlackwell Publishing Ltd. The Journal's web site is located at http://www.blackwellpublishing.com/subs.asp?ref=1750-2640&site=1en_HK
dc.relation.ispartofInfluenza and other Respiratory Virusesen_HK
dc.subjectAvian influenzaen_HK
dc.subjectCoinfectionen_HK
dc.subjectH5N1en_HK
dc.subjectHost specificityen_HK
dc.subjectLive bird marketen_HK
dc.subjectRisken_HK
dc.titleMultiannual patterns of influenza A transmission in Chinese live bird market systemsen_HK
dc.typeArticleen_HK
dc.identifier.emailZhu, H: zhuhch@hku.hken_HK
dc.identifier.emailRiley, S: steven.riley@hku.hken_HK
dc.identifier.emailGuan, Y: yguan@hkucc.hku.hken_HK
dc.identifier.authorityZhu, H=rp01535en_HK
dc.identifier.authorityRiley, S=rp00511en_HK
dc.identifier.authorityGuan, Y=rp00397en_HK
dc.description.naturelink_to_OA_fulltexten_US
dc.identifier.doi10.1111/j.1750-2659.2012.00354.xen_HK
dc.identifier.pmid22458429-
dc.identifier.scopuseid_2-s2.0-84871378516en_HK
dc.identifier.hkuros203144-
dc.identifier.isiWOS:000312650000015-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridPepin, KM=16245940200en_HK
dc.identifier.scopusauthoridWang, J=55142467100en_HK
dc.identifier.scopusauthoridWebb, CT=55142618100en_HK
dc.identifier.scopusauthoridSmith, GJD=24375486800en_HK
dc.identifier.scopusauthoridPoss, M=7003445039en_HK
dc.identifier.scopusauthoridHudson, PJ=7202250860en_HK
dc.identifier.scopusauthoridHong, W=55143833500en_HK
dc.identifier.scopusauthoridZhu, H=25724029300en_HK
dc.identifier.scopusauthoridRiley, S=7102619416en_HK
dc.identifier.scopusauthoridGuan, Y=7202924055en_HK

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