TY - JOUR
T1 - H7N9 and H5N1 avian influenza suitability models for China: accounting for new poultry and live-poultry markets distribution data
AU - Artois, Jean
AU - Lai, Shengjie
AU - Feng, Luzhao
AU - Jiang, Hui
AU - Zhou, Hang
AU - Li, Xiangping
AU - Dhingra, Madhur S.
AU - Linard, Catherine
AU - Nicolas, Gaëlle
AU - Xiao, Xiangming
AU - Robinson, Timothy P.
AU - Yu, Hongjie
AU - Gilbert, Marius
N1 - Funding Information:
This study was supported by grants from the National Science Fund for Distinguished Young Scholars (81525023) by the US National Institutes of Health (1R01AI101028-02A1) by the FNRS project "Mapping people and livestock" (PDR T.0073.13) and by the CGIAR Research Programmes on the Humid tropics; Climate Change, Agriculture and Food Security (CCAFS) and Agriculture for Nutrition and Health (A4NH).
Publisher Copyright:
© 2016, The Author(s).
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/2/1
Y1 - 2017/2/1
N2 - In the last two decades, two important avian influenza viruses infecting humans emerged in China, the highly pathogenic avian influenza (HPAI) H5N1 virus in the late nineties, and the low pathogenic avian influenza (LPAI) H7N9 virus in 2013. China is home to the largest population of chickens (4.83 billion) and ducks (0.694 billion), representing, respectively 23.1 and 58.6% of the 2013 world stock, with a significant part of poultry sold through live-poultry markets potentially contributing to the spread of avian influenza viruses. Previous models have looked at factors associated with HPAI H5N1 in poultry and LPAI H7N9 in markets. However, these have not been studied and compared with a consistent set of predictor variables. Significant progress was recently made in the collection of poultry census and live-poultry market data, which are key potential factors in the distribution of both diseases. Here we compiled and reprocessed a new set of poultry census data and used these to analyse HPAI H5N1 and LPAI H7N9 distributions with boosted regression trees models. We found a limited impact of the improved poultry layers compared to models based on previous poultry census data, and a positive and previously unreported association between HPAI H5N1 outbreaks and the density of live-poultry markets. In addition, the models fitted for the HPAI H5N1 and LPAI H7N9 viruses predict a high risk of disease presence for the area around Shanghai and Hong Kong. The main difference in prediction between the two viruses concerned the suitability of HPAI H5N1 in north-China around the Yellow sea (outlined with Tianjin, Beijing, and Shenyang city) where LPAI H7N9 has not spread intensely.
AB - In the last two decades, two important avian influenza viruses infecting humans emerged in China, the highly pathogenic avian influenza (HPAI) H5N1 virus in the late nineties, and the low pathogenic avian influenza (LPAI) H7N9 virus in 2013. China is home to the largest population of chickens (4.83 billion) and ducks (0.694 billion), representing, respectively 23.1 and 58.6% of the 2013 world stock, with a significant part of poultry sold through live-poultry markets potentially contributing to the spread of avian influenza viruses. Previous models have looked at factors associated with HPAI H5N1 in poultry and LPAI H7N9 in markets. However, these have not been studied and compared with a consistent set of predictor variables. Significant progress was recently made in the collection of poultry census and live-poultry market data, which are key potential factors in the distribution of both diseases. Here we compiled and reprocessed a new set of poultry census data and used these to analyse HPAI H5N1 and LPAI H7N9 distributions with boosted regression trees models. We found a limited impact of the improved poultry layers compared to models based on previous poultry census data, and a positive and previously unreported association between HPAI H5N1 outbreaks and the density of live-poultry markets. In addition, the models fitted for the HPAI H5N1 and LPAI H7N9 viruses predict a high risk of disease presence for the area around Shanghai and Hong Kong. The main difference in prediction between the two viruses concerned the suitability of HPAI H5N1 in north-China around the Yellow sea (outlined with Tianjin, Beijing, and Shenyang city) where LPAI H7N9 has not spread intensely.
KW - Avian influenza
KW - HPAI H5N1
KW - LPAI H7N9
KW - Poultry data
KW - Spatial epidemiology
UR - http://www.scopus.com/inward/record.url?scp=85002179403&partnerID=8YFLogxK
U2 - 10.1007/s00477-016-1362-z
DO - 10.1007/s00477-016-1362-z
M3 - Article
C2 - 28298880
AN - SCOPUS:85002179403
SN - 1436-3240
VL - 31
SP - 393
EP - 402
JO - Stochastic Environmental Research and Risk Assessment
JF - Stochastic Environmental Research and Risk Assessment
IS - 2
ER -