Improving Google Flu trends estimates for the United States through transformation

PLoS ONE

Volumn 9, Issue 12, 2014, Pages

  Martin, Leah J ^a   Xu, Biying ^a,b   Yasui, Yutaka ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DISEASE SURVEILLANCE; FLU LIKE SYNDROME; GOOGLE FLU TRENDS; HEALTH CARE; INCIDENCE; MASS MEDIUM; MATHEMATICAL ANALYSIS; MATHEMATICAL PHENOMENA; MEDICAL INFORMATICS; PERCENTAGE OF PHYSICIAN VISITS RELATED TO INFLUENZA LIKE ILLNESS; PREDICTION; PROFESSIONAL PRACTICE; PUBLIC HEALTH SERVICE; TRANSFORMATION EQUATION; UNITED STATES; AMBULATORY CARE; DATA MINING; EPIDEMIC; EPIDEMIOLOGICAL MONITORING; HUMAN; INFLUENZA, HUMAN; INTERNET; SEASON; STATISTICS AND NUMERICAL DATA;

AMBULATORY CARE; CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); DATA MINING; DISEASE OUTBREAKS; EPIDEMIOLOGICAL MONITORING; HUMANS; INFLUENZA, HUMAN; INTERNET; SEASONS; UNITED STATES;

EID: 84928750394     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0109209     Document Type: Article

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