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Is Twitter a better predictor of the flu than Google and the CDC? Researcher says, yes
Posted By Arundhati Parmar On January 21, 2013 @ 1:32 pm In Featured Story,Health IT,Hospitals,MedCity News eNewsletter,Medical Devices,Pharma,Politics,Startups,SYN,Top Story | 3 Comments
And the key to controlling the influenza or any contagion is not only early detection, but also in predicting the trajectory of the disease.
Here, social media, especially Twitter, is playing a big role.
Using Twitter and geo-tagging, Sadilek has modeled how an infectious disease may spread in real time by plotting data on a map using tweets from people and seeing how healthy people and sick people interact. That led them to create a heat map of New York.
Sadilek asserts that this shows “emergent aggregate patterns in real time with second-by-second resolution,” which apparently suffers none of the time lag that other, more established models coming from the likes of Google Flu Trends  and the Centers for Diseases Control and Prevention.
You can see a video of how the flu overtook the Big Apple over one day here:
Article printed from MedCity News: http://medcitynews.com
URL to article: http://medcitynews.com/2013/01/twitter-needs-to-have-an-alias-how-about-the-centers-for-disease-control-and-prevention/
URLs in this post:
 Image: http://medcitynews.com/wp-content/uploads/twitterflu.png
 particularly pernicious flu season: http://www.foxnews.com/health/2013/01/18/flu-season-hard-on-kids-elderly-and-its-still-not-over/
 Henry Kautz: http://www.cs.rochester.edu/u/kautz/
 extraordinary experiment: http://www.cs.rochester.edu/~sadilek/research/
 Google Flu Trends: http://www.google.org/flutrends/
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