A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives

Journal of Medical Internet Research

Volumn 16, Issue 10, 2014, Pages e236-

  Nagar, Ruchit ^a,b   Yuan, Qingyu ^a,c   Freifeld, Clark C ^d   Santillana, Mauricio ^a,e,f   Nojima, Aaron ^a,g   Chunara, Rumi ^a,h   Brownstein, John S ^a,f,h  

^a BOSTON CHILDREN S HOSPITAL   (United States)

^b YALE UNIVERSITY   (United States)

^c UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^d Boston University   (United States)

^e HARVARD UNIVERSITY   (United States)

^f HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^g MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^h HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Google Flu Trends; Influenza; Infodemiology; Medical informatics; mHealth; New York City; Social media, natural language processing; Spatiotemporal; Twitter

Indexed keywords

BLOGGING; EPIDEMIC; GEOGRAPHIC MAPPING; HUMAN; INFLUENZA, HUMAN; INTERNET; NEW YORK; PROSPECTIVE STUDY; RETROSPECTIVE STUDY; SPATIOTEMPORAL ANALYSIS; STATISTICS AND NUMERICAL DATA;

BLOGGING; DISEASE OUTBREAKS; GEOGRAPHIC MAPPING; HUMANS; INFLUENZA, HUMAN; INTERNET; NEW YORK CITY; PROSPECTIVE STUDIES; RETROSPECTIVE STUDIES; SPATIO-TEMPORAL ANALYSIS;

EID: 84910107444     PISSN: None     EISSN: 14388871     Source Type: Journal    
DOI: 10.2196/jmir.3416     Document Type: Article

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