Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts
Author:
Funder
U.S. Food and Drug Administration
Publisher
Springer Science and Business Media LLC
Subject
Pharmacology (medical),Pharmacology,Toxicology
Link
http://link.springer.com/content/pdf/10.1007/s40264-016-0491-0.pdf
Reference51 articles.
1. Deyo R. Gaps, tensions, and conflicts in the FDA approval process: implications for clinical practice. J Am Board Fam Med. 2004;17(2):142–9.
2. Smith CC, Bennet PM, Pearce HM, et al. Adverse drug reactions in a hospital general medical unit meriting notification to the Committee on Safety of Medicines. Br J Clin Pharmacol. 1996;42:423–9.
3. Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection—harnessing the Web for public health surveillance. N Engl J Med. 2009;360(21):2153–7. doi: 10.1056/NEJMp0900702 .
4. Brown D. 52 Cool facts about social media--2012 edition dannybrown.me. 2012. http://dannybrown.me/2012/06/06/52-cool-facts-social-media-2012 . Accessed 6 Oct 2015.
5. Beevolve. An exhaustive study of Twitter users across the world--social media analytics. Beevolve. 2012. http://temp.beevolve.com/twitter-statistics/-cl . Accessed 6 Oct 2015.
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