Mapping spatiotemporal patterns of events using social media: a case study of influenza trends

International Journal of Geographical Information Science

Volumn 32, Issue 3, 2018, Pages 425-449

  Gao, Yizhao ^a   Wang, Shaowen ^a   Padmanabhan, Anand ^a   Yin, Junjun ^b   Cao, Guofeng ^c  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c TEXAS TECH UNIVERSITY   (United States)

Author keywords

CyberGIS; event detection; influenza surveillance; social media; spatiotemporal analysis

Indexed keywords

DETECTION METHOD; DISEASE INCIDENCE; DISEASE PREVALENCE; DISEASE SPREAD; GIS; INFLUENZA; MEDIA ROLE; SOCIAL MEDIA; SPATIOTEMPORAL ANALYSIS; TREND ANALYSIS;

UNITED STATES;

EID: 85041135960     PISSN: 13658816     EISSN: 13623087     Source Type: Journal    
DOI: 10.1080/13658816.2017.1406943     Document Type: Article

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