About: Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends

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About: Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends
Creator	Zhou, Hong Fowlkes, Ashley Goss, Christopher Neuzil, Kathleen Ortiz, Justin Shay, David
Source	PMC
abstract	BACKGROUND: Google Flu Trends was developed to estimate US influenza-like illness (ILI) rates from internet searches; however ILI does not necessarily correlate with actual influenza virus infections. METHODS AND FINDINGS: Influenza activity data from 2003–04 through 2007–08 were obtained from three US surveillance systems: Google Flu Trends, CDC Outpatient ILI Surveillance Network (CDC ILI Surveillance), and US Influenza Virologic Surveillance System (CDC Virus Surveillance). Pearson's correlation coefficients with 95% confidence intervals (95% CI) were calculated to compare surveillance data. An analysis was performed to investigate outlier observations and determine the extent to which they affected the correlations between surveillance data. Pearson's correlation coefficient describing Google Flu Trends and CDC Virus Surveillance over the study period was 0.72 (95% CI: 0.64, 0.79). The correlation between CDC ILI Surveillance and CDC Virus Surveillance over the same period was 0.85 (95% CI: 0.81, 0.89). Most of the outlier observations in both comparisons were from the 2003–04 influenza season. Exclusion of the outlier observations did not substantially improve the correlation between Google Flu Trends and CDC Virus Surveillance (0.82; 95% CI: 0.76, 0.87) or CDC ILI Surveillance and CDC Virus Surveillance (0.86; 95%CI: 0.82, 0.90). CONCLUSIONS: This analysis demonstrates that while Google Flu Trends is highly correlated with rates of ILI, it has a lower correlation with surveillance for laboratory-confirmed influenza. Most of the outlier observations occurred during the 2003–04 influenza season that was characterized by early and intense influenza activity, which potentially altered health care seeking behavior, physician testing practices, and internet search behavior.
has issue date	2011-04-27(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0018687
bibo:pmid	21556151
has license	cc0
sha1sum (hex)	47b84b720b0601da21090660ed223b7cfa1150cb
schema:url	https://doi.org/10.1371/journal.pone.0018687
resource representing a document's title	Monitoring Influenza Activity in the United States: A Comparison of Traditional Surveillance Systems with Google Flu Trends
has PubMed Central identifier	PMC3083406
has PubMed identifier	21556151
schema:publication	PLoS One
resource representing a document's body	covid:47b84b720b0601da21090660ed223b7cfa1150cb#body_text
is schema:about of	named entity 'GOOGLE' named entity 'DOES NOT' named entity 'FLU' named entity 'SURVEILLANCE' named entity 'FLU' named entity 'United States' named entity 'INFLUENZA' named entity 'ACTUAL' named entity 'INTERNET' named entity 'INFECTIONS' named entity 'BACKGROUND' named entity 'TRADITIONAL' named entity 'UNITED STATES' named entity 'MONITORING' named entity 'ACTIVITY' named entity 'GOOGLE' named entity 'TRENDS' named entity 'ILI' named entity 'ESTIMATE' named entity 'INFLUENZA-LIKE ILLNESS' named entity 'SYSTEMS' named entity 'COMPARISON' named entity 'RATES' named entity 'TRENDS' named entity 'INFLUENZA VIRUS' covid:arg/47b84b720b0601da21090660ed223b7cfa1150cb named entity 'influenza' named entity 'influenza virus' named entity 'United States' named entity 'influenza season' named entity 'Prospective studies' named entity 'DFBETA' named entity 'ILI' named entity 'Google Flu Trends' named entity 'Virus' named entity 'virologic' named entity 'Google Flu Trends' named entity 'influenza epidemic' named entity 'Google Flu Trends' named entity 'correlation coefficient' named entity 'influenza' named entity 'influential observations' named entity 'influenza' named entity 'influenza' named entity 'public health' named entity 'public health' named entity 'influenza season' named entity 'respiratory illness' named entity 'Virus' named entity 'search engines' named entity 'virologic' named entity 'influenza season' named entity 'CDC' named entity 'CDC' named entity 'Google.org' named entity 'Google Flu Trends' named entity 'influenza-like illness' named entity 'Google Flu Trends' named entity 'Virologic' named entity 'sensitivity analysis' named entity 'influenza' named entity 'DFBETA' named entity 'Virus' named entity 'ILI' named entity 'CDC' named entity 'scatter plots' named entity 'Influenza-like Illness' named entity 'Google Flu Trends' named entity 'ILI' named entity 'ILI' named entity 'Google Flu Trends' named entity 'CDC' named entity 'ILI' named entity 'West South Central' named entity 'Google Flu Trends' named entity 'United States'

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