Factors associated with the emergence of highly pathogenic avian influenza A (H5N1) poultry outbreaks in China: evidence from an epidemiological investigation in Ningxia, 2012

Liu, H., Zhou, X., Zhao, Y., Zheng, D., Wang, J., Wang, X., Castellan, D. and Soares Magalhaes, R.J. (2015) Factors associated with the emergence of highly pathogenic avian influenza A (H5N1) poultry outbreaks in China: evidence from an epidemiological investigation in Ningxia, 2012. Transboundary and Emerging Diseases, . doi:10.1111/tbed.12433


Author Liu, H.
Zhou, X.
Zhao, Y.
Zheng, D.
Wang, J.
Wang, X.
Castellan, D.
Soares Magalhaes, R.J.
Title Factors associated with the emergence of highly pathogenic avian influenza A (H5N1) poultry outbreaks in China: evidence from an epidemiological investigation in Ningxia, 2012
Journal name Transboundary and Emerging Diseases   Check publisher's open access policy
ISSN 1865-1674
1865-1682
Publication date 2015-10-30
Year available 2015
Sub-type Article (original research)
DOI 10.1111/tbed.12433
Open Access Status Not Open Access
Total pages 8
Place of publication Berlin, Germany
Publisher Wiley-Blackwell Verlag GmbH
Collection year 2016
Language eng
Abstract In April 2012, highly pathogenic avian influenza virus of the H5N1 subtype (HPAIV H5N1) emerged in poultry layers in Ningxia. A retrospective case–control study was conducted to identify possible risk factors associated with the emergence of H5N1 infection and describe and quantify the spatial variation in H5N1 infection. A multivariable logistic regression model was used to identify risk factors significantly associated with the presence of infection; residual spatial variation in H5N1 risk unaccounted by the factors included in the multivariable model was investigated using a semivariogram. Our results indicate that HPAIV H5N1-infected farms were three times more likely to improperly dispose farm waste [adjusted OR = 0.37; 95% CI: 0.12–0.82] and five times more likely to have had visitors in their farm within the past month [adjusted OR = 5.47; 95% CI: 1.97–15.64] compared to H5N1-non-infected farms. The variables included in the final multivariable model accounted only 20% for the spatial clustering of H5N1 infection. The average size of a H5N1 cluster was 660 m. Bio-exclusion practices should be strengthened on poultry farms to prevent further emergence of H5N1 infection. For future poultry depopulation, operations should consider H5N1 disease clusters to be as large as 700 m.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Published online 30 October 2015. Early view

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Veterinary Science Publications
Child Health Research Centre Publications
 
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Created: Tue, 24 May 2016, 15:35:42 EST by Dr Ricardo J. Soares Magalhães on behalf of School of Veterinary Science