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Citation for Study 20239

Citation title: "Quantifying predictors for the spatial diffusion of avian influenza virus in China".

Study name: "Quantifying predictors for the spatial diffusion of avian influenza virus in China".

This study is part of submission 20239 (Status: Published).

Citation

Lu L., Leigh brown A.J., & Lycett S.J. 2016. Quantifying predictors for the spatial diffusion of avian influenza virus in China. BMC Evolutionary Biology, .

Authors

• Lu L. (submitter) 00447401614325
• Leigh brown A.J.
• Lycett S.J.

Abstract

Background Avian influenza virus (AIV) causes both severe outbreaks and endemic disease among poultry and has caused sporadic human infections in Asia, furthermore the routes of transmission in avian species between geographic regions can be numerous and complex. Using nucleotide sequences from the internal protein coding segments of AIV, we performed a Bayesian phylogeographic study to uncover regional routes of transmission and factors predictive of the rate of viral diffusion within China. Results We found that the Central area and Pan-Pearl River Delta were the two main sources of AIV diffusion, while the East Coast areas especially the Yangtze River delta, were the major targets of viral invasion. Next we investigated the extent to which economic, agricultural, environmental and climatic regional data was predictive of viral diffusion by fitting phylogeographic discrete trait models using generalised linear models. Conclusions Our results highlighted that the economic-agricultural predictors, especially the poultry population density and the number of farm product markets, are the key determinants of spatial diffusion of AIV in China; high human density and freight transportation are also important predictors of high rates of viral transmission; Climate features (e.g. temperature) were correlated to the viral invasion in the destination to some degree; while little or no impacts were found from natural environment factors (such as surface water coverage). This study uncovers the risk factors and enhances our understanding of the spatial dynamics of AIV in bird populations.

Keywords

Avian Influenza, Phylogeography, General Linear Model

External links

About this resource

• Canonical resource URI: http://purl.org/phylo/treebase/phylows/study/TB2:S20239
• Other versions: Nexus NeXML
• Show BibTeX reference

  		@ARTICLE{TreeBASE2Ref26601,
  	 author = {LU  LU and Andrew J. Leigh Brown and Samantha J. Lycett},
  	 title = {Quantifying predictors for the spatial diffusion of avian influenza virus in China},
  	 year = {2016},
  	 keywords = {Avian Influenza, Phylogeography, General Linear Model},
  	 doi = {},
  	 url = {http://},
  	 pmid = {},
  	 journal = {BMC Evolutionary Biology},
  	 volume = {},
  	 number = {},
  	 pages = {},
  	 abstract = {Background
  Avian influenza virus (AIV) causes both severe outbreaks and endemic disease among poultry and has caused sporadic human infections in Asia, furthermore the routes of transmission in avian species between geographic regions can be numerous and complex.  Using nucleotide sequences from the internal protein coding segments of AIV, we performed a Bayesian phylogeographic study to uncover regional routes of transmission and factors predictive of the rate of viral diffusion within China.
  
  Results
  We found that the Central area and Pan-Pearl River Delta were the two main sources of AIV diffusion, while the East Coast areas especially the Yangtze River delta, were the major targets of viral invasion.  Next we investigated the extent to which economic, agricultural, environmental and climatic regional data was predictive of viral diffusion by fitting phylogeographic discrete trait models using generalised linear models.
  
  Conclusions
  Our results highlighted that the economic-agricultural predictors, especially the poultry population density and the number of farm product markets, are the key determinants of spatial diffusion of AIV in China; high human density and freight transportation are also important predictors of high rates of viral transmission; Climate features (e.g. temperature) were correlated to the viral invasion in the destination to some degree; while little or no impacts were found from natural environment factors (such as surface water coverage). This study uncovers the risk factors and enhances our understanding of the spatial dynamics of AIV in bird populations.
  }
  }
  		

• Show RIS reference

  		TY  - JOUR
  ID  - 26601
  AU  - LU,LU 
  AU  - Leigh Brown,Andrew J.
  AU  - Lycett,Samantha J.
  T1  - Quantifying predictors for the spatial diffusion of avian influenza virus in China
  PY  - 2016
  KW  - Avian Influenza
  KW  - Phylogeography
  KW  - General Linear Model
  UR  - http://dx.doi.org/
  N2  - Background
  Avian influenza virus (AIV) causes both severe outbreaks and endemic disease among poultry and has caused sporadic human infections in Asia, furthermore the routes of transmission in avian species between geographic regions can be numerous and complex.  Using nucleotide sequences from the internal protein coding segments of AIV, we performed a Bayesian phylogeographic study to uncover regional routes of transmission and factors predictive of the rate of viral diffusion within China.
  
  Results
  We found that the Central area and Pan-Pearl River Delta were the two main sources of AIV diffusion, while the East Coast areas especially the Yangtze River delta, were the major targets of viral invasion.  Next we investigated the extent to which economic, agricultural, environmental and climatic regional data was predictive of viral diffusion by fitting phylogeographic discrete trait models using generalised linear models.
  
  Conclusions
  Our results highlighted that the economic-agricultural predictors, especially the poultry population density and the number of farm product markets, are the key determinants of spatial diffusion of AIV in China; high human density and freight transportation are also important predictors of high rates of viral transmission; Climate features (e.g. temperature) were correlated to the viral invasion in the destination to some degree; while little or no impacts were found from natural environment factors (such as surface water coverage). This study uncovers the risk factors and enhances our understanding of the spatial dynamics of AIV in bird populations.
  
  L3  - 
  JF  - BMC Evolutionary Biology
  VL  - 
  IS  - 
  ER  -