Predicting the risk of avian influenza A H7N9 infection in live-poultry markets across Asia

Nature Communications

Volumn 5, Issue , 2014, Pages

  Gilbert, Marius ^a,b   Golding, Nick ^c   Zhou, Hang ^d   Wint, G R William ^c   Robinson, Timothy P ^e   Tatem, Andrew J ^f,g   Lai, Shengjie ^d   Zhou, Sheng ^d   Jiang, Hui ^d   Guo, Danhuai ^h   Huang, Zhi ^c   Messina, Jane P ^c   Xiao, Xiangming ^i,j   Linard, Catherine ^a,b   Van Boeckel, Thomas P ^a,b   Martin, Vincent ^k   Bhatt, Samir ^c   Gething, Peter W ^c   Farrar, Jeremy J ^l   Hay, Simon I ^c,f   Yu, Hongjie ^d   more..

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b FNRS   (Belgium)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d CHINESE CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

^e INTERNATIONAL LIVESTOCK RESEARCH INSTITUTE   (Kenya)

^f NATIONAL INSTITUTES OF HEALTH   (United States)

^g UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^h INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

ⁱ UNIVERSITY OF OKLAHOMA   (United States)

^j FUDAN UNIVERSITY   (China)

^k Food and Agriculture Organization of the United Nations   (Senegal)

^l OXFORD UNIVERSITY CLINICAL RESEARCH UNIT   (Viet Nam)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AVIAN INFLUENZA; DATA SET; DISEASE SPREAD; EPIDEMIC; EPIDEMIOLOGY; LAND COVER; POULTRY; PREDICTION; PUBLIC HEALTH; RISK ASSESSMENT;

ARTICLE; BIOSURVEILLANCE; CHINA; HUMAN; INDONESIA; INFECTION RISK; INFLUENZA A; INFLUENZA A H7N9; INFLUENZA VIRUS A H7N9; LAND USE; MARKET; NONHUMAN; PHILIPPINES; POPULATION DENSITY; POPULATION DISTRIBUTION; POULTRY; PREDICTION; VIET NAM; ANIMAL; ASIA; CATERING SERVICE; COMMERCIAL PHENOMENA; GEOGRAPHY; INFLUENZA IN BIRDS; INFLUENZA, HUMAN; PROCEDURES; REGRESSION ANALYSIS; RISK ASSESSMENT; STATISTICAL MODEL; TRANSMISSION; ZOONOSES;

CHINA;

ANIMALS; ASIA; BIOSURVEILLANCE; COMMERCE; FOOD SUPPLY; GEOGRAPHY; HUMANS; INFLUENZA A VIRUS, H7N9 SUBTYPE; INFLUENZA IN BIRDS; INFLUENZA, HUMAN; MODELS, STATISTICAL; POULTRY; REGRESSION ANALYSIS; RISK ASSESSMENT; ZOONOSES;

EID: 84902767084     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms5116     Document Type: Article

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