Dynamic forecasting of zika epidemics using google trends

PLoS ONE

Volumn 12, Issue 1, 2017, Pages

  Teng, Yue ^a   Bi, Dehua ^a,b   Xie, Guigang ^a   Jin, Yuan ^a,c   Huang, Yong ^a   Lin, Baihan ^d   An, Xiaoping ^a   Feng, Dan ^e   Tong, Yigang ^a  

^a BEIJING INSTITUTE OF MICROBIOLOGY AND EPIDEMIOLOGY   (China)

^b UNIVERSITY OF WATERLOO   (Canada)

^c BEIJING INSTITUTE OF BIOTECHNOLOGY   (China)

^d UNIVERSITY OF WASHINGTON   (United States)

^e CHINESE PLA GENERAL HOSPITAL   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOREGRESSIVE INTEGRATED MOVING AVERAGE MODEL; CONTROLLED STUDY; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; EPIDEMIC; FORECASTING; GOOGLE TRENDS; ONLINE ANALYSIS; ONLINE SYSTEM; PREDICTOR VARIABLE; SIMULATION; STATISTICAL MODEL; ZIKA FEVER; HUMAN; MACHINE LEARNING; PROCEDURES; SOCIAL MEDIA; VIROLOGY; ZIKA VIRUS; ZIKA VIRUS INFECTION;

DISEASE OUTBREAKS; FORECASTING; HUMANS; MACHINE LEARNING; MODELS, STATISTICAL; SOCIAL MEDIA; ZIKA VIRUS; ZIKA VIRUS INFECTION;

EID: 85009227815     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0165085     Document Type: Article

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