Related work

The works listed below, along with numerous others, were an early inspiration for the Epidata API:

• Cook, Samantha, et al. “Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic.” PloS one 6.8 (2011): e23610.
• Broniatowski, David A., Michael J. Paul, and Mark Dredze. “National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic.” (2013): e83672.
• Dredze, Mark, et al. “HealthTweets. org: A Platform for Public Health Surveillance using Twitter.” AAAI Conference on Artificial Intelligence. 2014.
• Generous, Nicholas, et al. “Global disease monitoring and forecasting with Wikipedia.” (2014): e1003892.
• Hickmann, Kyle S., et al. “Forecasting the 2013–2014 Influenza Season Using Wikipedia.” (2015): e1004239.
• McIver, David J., and John S. Brownstein. “Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time.” PLoS Comput Biol 10.4 (2014): e1003581.