2015
DOI: 10.1590/0102-311xca020615
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Google Trends (GT) related to influenza

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Cited by 4 publications
(2 citation statements)
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“…where the logistic regression models showed better performance when data from Google-Trends were put in the place of predictive variables [50]. Through the parameters of cost, data size, designing difficulty, result assessment difficulty and participative nature of the crowd, an interrelation between active and passive crowdsourcing has been drawn.…”
Section: Web Search Logsmentioning
confidence: 99%
“…where the logistic regression models showed better performance when data from Google-Trends were put in the place of predictive variables [50]. Through the parameters of cost, data size, designing difficulty, result assessment difficulty and participative nature of the crowd, an interrelation between active and passive crowdsourcing has been drawn.…”
Section: Web Search Logsmentioning
confidence: 99%
“…Stress and hormones, which were frequently searched by the public on the internet, are also well known to exacerbate acne vulgaris [7,[23][24][25]. Similarly, there are many other studies attempting to estimate epidemiology or track outbreaks of various kinds of diseases, such as influenza, cellulitis, cancer, and tuberculosis, by using the internet [12,26,27].…”
Section: Principal Findingsmentioning
confidence: 99%