Feb 17 2014

Using Tweets to Track and Monitor Flu Outbreaks in U.S. Cities

JMIR-publication

The methodology we are using to form our flu outbreak tracking and prediction models depends on Twitter and the collection of tweets that include the keyword “flu” in their tweet texts.  Tweets are collected continuously that contain the keyword “flu” using the Twitter Search API from different cities across the United States (chosen based on …

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Permanent link to this article: http://mappingideas.sdsu.edu/?p=837

Feb 17 2014

The New Version of the Multilevel Model of Meme Diffusion

We introduced the multilevel model of meme diffusion (M3D) theory with 30 separate variables that either (a) facilitate or impede a meme’s competitiveness, or (b) facilitate or impede a context’s competitiveness to resist or accept that meme. (Brian Spitzberg, the new version of M3D image updated on February 11, 2014).

Permanent link to this article: http://mappingideas.sdsu.edu/?p=833

Feb 23 2013

Tweets and the 2012-2013 Flu Season

figue1

Flu seasons are unpredictable, but according to the Centers for Disease Control and Prevention, we are in for a bad flu year indicated by the early climb in flu activity. In fact, this is the soonest the flu season has taken off in almost a decade (since the 2003-2004 flu season). Fortunately, the current circulating …

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Permanent link to this article: http://mappingideas.sdsu.edu/?p=702

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