ArticleStochastic environmental research and risk assessment : research journal2017
H7N9 and H5N1 avian influenza suitability models for China: accounting for new poultry and live-poultry markets distribution data.
Article in Stochastic environmental research and risk assessment : research journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 17 citations in OpenAlex.
- Characterization of Conserved Evolution in H7N9 Avian Influenza Virus Prior Mass Vaccination.Virulence · 2024Article
- Spatiotemporal Analysis of Influenza in China, 2005-2018.Scientific reports · 2019Article
- Spatiotemporal Variation and Hotspot Detection of the Avian Influenza A(H7N9) Virus in China, 2013⁻2017.International journal of environmental research and public health · 2019Article
- The epidemic potential of avian influenza A (H7N9) virus in humans in mainland China: A two-stage risk analysis.PloS one · 2019Article
- Dynamics of the 2004 avian influenza H5N1 outbreak in Thailand: The role of duck farming, sequential model fitting and control.Preventive veterinary medicine · 2018Article
- Survival of Escherichia coli harboring nucleic acid-hydrolyzing 3D8 scFv during RNA virus infection.Regulatory toxicology and pharmacology : RTP · 2018Article
- Changing Geographic Patterns and Risk Factors for Avian Influenza A(H7N9) Infections in Humans, China.Emerging infectious diseases · 2018Article
- Identification of high risk areas for avian influenza outbreaks in California using disease distribution models.PloS one · 2018Article
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Authors and funding
13 authors at 5 institutions in 7 countries.
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Abstract
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.
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