Monitoring Influenza Trends through Mining Social Media
نویسندگان
چکیده
Analysis of Google Influenza-like-illness (ILI) search queries has shown a strongly correlated pattern with Center for Disease Control and Prevention seasonal ILI reporting data. Web and social media (WSM) provide another resource to detect increases in ILI. This paper evaluates trends in blog posts that discuss Influenza. The results of the analysis show Influenza-related blogging trends have a significant correlation with the beginning of US Fall 2008 flu season. We also identify WSM Influenza-related communities that share flu-postings which could broker or disseminate information in the case of a severe outbreak or Influenza epidemic.
منابع مشابه
Text and Structural Data Mining of Influenza Mentions in Web and Social Media
Text and structural data mining of web and social media (WSM) provides a novel disease surveillance resource and can identify online communities for targeted public health communications (PHC) to assure wide dissemination of pertinent information. WSM that mention influenza are harvested over a 24-week period, 5 October 2008 to 21 March 2009. Link analysis reveals communities for targeted PHC. ...
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