Using Knowledge Fusion to Analyze Avian Influenza H5N1 in East and Southeast Asia

Open Access

Peer-reviewed

Research Article

Erjia Ge,

Affiliations Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China, School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
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Robert Haining,

Affiliation Department of Geography, University of Cambridge, Cambridge, United Kingdom
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Chi Pang Li,

Affiliation School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
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Zuguo Yu,

Affiliation School of Mathematics and Computational Science, Xiangtan University, Hunan Province, China
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Miu Yee Waye,

Affiliation School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
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Ka Hou Chu,

Affiliation School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, China
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Yee Leung

* E-mail: yeeleung@cuhk.edu.hk

Affiliations Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong, China, Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
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H5N1
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Phylogenetic analysis
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Medical risk factors
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Animal migration
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Avian influenza
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Viral evolution
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Asia
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Poultry
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