Improving Google Flu Trends estimates for the United States through transformation
- PMID: 25551391
- PMCID: PMC4281210
- DOI: 10.1371/journal.pone.0109209
Improving Google Flu Trends estimates for the United States through transformation
Erratum in
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Correction: Improving Google Flu Trends Estimates for the United States through Transformation.PLoS One. 2015 Apr 21;10(4):e0122939. doi: 10.1371/journal.pone.0122939. eCollection 2015. PLoS One. 2015. PMID: 25897857 Free PMC article. No abstract available.
Abstract
Google Flu Trends (GFT) uses Internet search queries in an effort to provide early warning of increases in influenza-like illness (ILI). In the United States, GFT estimates the percentage of physician visits related to ILI (%ILINet) reported by the Centers for Disease Control and Prevention (CDC). However, during the 2012-13 influenza season, GFT overestimated %ILINet by an appreciable amount and estimated the peak in incidence three weeks late. Using data from 2010-14, we investigated the relationship between GFT estimates (%GFT) and %ILINet. Based on the relationship between the relative change in %GFT and the relative change in %ILINet, we transformed %GFT estimates to better correspond with %ILINet values. In 2010-13, our transformed %GFT estimates were within ± 10% of %ILINet values for 17 of the 29 weeks that %ILINet was above the seasonal baseline value determined by the CDC; in contrast, the original %GFT estimates were within ± 10% of %ILINet values for only two of these 29 weeks. Relative to the %ILINet peak in 2012-13, the peak in our transformed %GFT estimates was 2% lower and one week later, whereas the peak in the original %GFT estimates was 74% higher and three weeks later. The same transformation improved %GFT estimates using the recalibrated 2013 GFT model in early 2013-14. Our transformed %GFT estimates can be calculated approximately one week before %ILINet values are reported by the CDC and the transformation equation was stable over the time period investigated (2010-13). We anticipate our results will facilitate future use of GFT.
Conflict of interest statement
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References
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- Centers for Disease Control and Prevention (2013) Overview of Influenza Surveillance in the United States. In: Department of Health and Human Services, Centers for Disease Prevention and Control. Available: http://www.cdc.gov/flu/weekly/overview.htm. Accessed 2013 October 17.
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- Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, et al. (2009) Detecting influenza epidemics using search engine query data. Nature 457:1012–1014. - PubMed
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- Google Flu Trends (2013) Google Flu Trends United States. Available: http://www.google.org/flutrends/us/#US. Accessed 2014 March 20.
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