Social media represents a new frontier in disease surveillance. Infoveillance allows for the real-time retrieval of internet data. Our objective was to systematically review the literature utilizing social media as a source for disease prediction and surveillance. A review of English-language conference proceedings and journal articles from 1999 to 2011 using EMBASE and PubMed was conducted. A total of 12 full-text articles were included. Results of these studies show the use of open-source micro-blogging sites to inform influenza-like-illness monitoring. These results inform recommendations for future research directions. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
CITATION STYLE
Guy, S., Ratzki-Leewing, A., Bahati, R., & Gwadry-Sridhar, F. (2012). Social media: A systematic review to understand the evidence and application in infodemiology. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (Vol. 91 LNICST, pp. 1–8). https://doi.org/10.1007/978-3-642-29262-0_1
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