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. 2010:680:559-64.
doi: 10.1007/978-1-4419-5913-3_61.

Using Web and social media for influenza surveillance

Courtney D Corley  1 , Diane J Cook, Armin R Mikler, Karan P Singh
Affiliations

Using Web and social media for influenza surveillance

Courtney D Corley et al. Adv Exp Med Biol. 2010.

Abstract

Analysis of Google influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Centers for Disease Control (CDC) and Prevention seasonal ILI reporting data. Web and social media provide another resource to detect increases in ILI. This paper evaluates trends in blog posts that discuss influenza. Our key finding is that from 5th October 2008 to 31st January 2009, a high correlation exists between the frequency of posts, containing influenza keywords, per week and CDC influenza-like-illness surveillance data.

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Figures

Fig. 61.1
Fig. 61.1
CDC ILINet vs. normalized FC-post frequency per week. Each FC posts per week data point is normalized by the corresponding blog-world posts per week count. Pearson correlation = 0.626, 95% confidence
See this image and copyright information in PMC

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