Dengue prediction by the web: Tweets are a useful tool for estimating and forecasting Dengue at country and city level

PLoS Neglected Tropical Diseases

Volumn 11, Issue 7, 2017, Pages

  Marques Toledo, Cecilia de Almeida ^a,b   Degener, Carolin Marlen ^c   Vinhal, Livia ^d   Coelho, Giovanini ^d   Meira, Wagner ^a   Codeço, Claudia Torres ^c   Teixeira, Mauro Martins ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b Ecovec LTDA ^*  (Brazil)

^c INSTITUTO OSWALDO CRUZ   (Brazil)

^d MINISTÉRIO DA SAÚDE   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DEMOGRAPHY; DENGUE; DISEASE SURVEILLANCE; INTERNET; SOCIAL ASPECT; COMPARATIVE STUDY; EVALUATION STUDY; FORECASTING; HUMAN; SOCIAL MEDIA; STATISTICAL MODEL; TRANSMISSION;

DENGUE; EPIDEMIOLOGIC METHODS; FORECASTING; HUMANS; INTERNET; MODELS, STATISTICAL; SOCIAL MEDIA;

EID: 85026739672     PISSN: 19352727     EISSN: 19352735     Source Type: Journal    
DOI: 10.1371/journal.pntd.0005729     Document Type: Article

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