Literature DB >> 25897857

Correction: Improving Google Flu Trends Estimates for the United States through Transformation.

Leah J Martin, Biying Xu, Yutaka Yasui.   

Abstract

Year:  2015        PMID: 25897857      PMCID: PMC4405189          DOI: 10.1371/journal.pone.0122939

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


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Reference 27 is omitted from the last sentence of the second last paragraph of the Methods section. The sentence should read: In addition, as a supplementary analysis, we made these comparisons for estimates from two models reported by Lazer et al., who developed regression models to improve upon GFT estimates [14, 27]. The reference is: Lazer D, Kennedy R, King G, Vespignani A (2014) Replication data for: The parable of Google Flu: Traps in big data analysis. Available: http://dx.doi.org/10.7910/DVN/24823 UNF:5:BJh9WzZQNEeSEpV3EWs+xg== IQSS Dataverse Network [Distributor] V1 [Version]. In the "Estimate" column of S2 Table, reference 21 should be replaced with reference 27. Please view the correct S2 Table below.

Comparing estimates of the weekly percentage of physician visits related to influenza-like illness (ILI) based on Google Flu Trends (GFT) to values reported by the Centers for Disease Control and Prevention (CDC), United States, October 2010-July 2013.

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  1 in total

1.  Improving Google Flu Trends estimates for the United States through transformation.

Authors:  Leah J Martin; Biying Xu; Yutaka Yasui
Journal:  PLoS One       Date:  2014-12-31       Impact factor: 3.240

  1 in total

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