Hulth and Rydevik BMC Public Health 2011, 11:252 http://www.biomedcentral.com/1471-2458/11/252 13. R Development Core Team: Function “loess” in R 2.9.0. R: A language and environment for statistical computing R Foundation for Statistical Computing, Vienna, Austria; 2009 [http://www.R-project.org], ISBN 3-900051-07-0. 14. Google Insights for Search. [http://www.google.com/insights/search]. 15. Hulth A, Andersson Y, Hedlund KO, Andersson M: Eye-opening norovirus surveillance. Emerg Infect Dis 2010, 16(8). 16. Carneiro HA, Mylonakis E: Google trends: a web-based tool for real-time surveillance of disease outbreaks. Clin Infect Dis 2009, 49(10):1557-64. 17. Brownstein JS, Freifeld CC, Madoff LC: Digital disease detection– harnessing the Web for public health surveillance. N Engl J Med 2009, 360(21):2153-5, 2157. 18. Pelat C, Turbelin C, Bar-Hen A, Flahault A, Valleron AJ: More diseases tracked by using Google trends. Emerg Infect Dis 2009, 15(8):1327-8. Pre-publication history The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1471-2458/11/252/prepub doi:10.1186/1471-2458-11-252 Cite this article as: Hulth and Rydevik: GET WELL: an automated surveillance system for gaining new epidemiological knowledge. BMC Public Health 2011 11:252. Page 8 of 8 Submit your next manuscript to BioMed Central and take full advantage of: • Convenient online submission • Thorough peer review • No space constraints or color ﬁgure charges • Immediate publication on acceptance • Inclusion in PubMed, CAS, Scopus and Google Scholar • Research which is freely available for redistribution Submit your manuscript at www.biomedcentral.com/submit