Difference between revisions of "Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in Near Real-Time"
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Latest revision as of 14:53, 10 March 2021
Authors | David J McIver John S. Brownstein |
|---|---|
Publication date | 2015 |
DOI | 10.5210/ojphi.v7i1.5705 |
Links | Original |
Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in Near Real-Time - scientific work related to Wikipedia quality published in 2015, written by David J McIver and John S. Brownstein.
Overview
Wikipedia usage data has been harnessed to estimate the prevalence of influenza-like illness (ILI) in the US population. By observing the number of times certain key Wikipedia articles are viewed each day, a model was developed that accurately estimated ILI, within 0.27% of official Centers for Disease Control and Prevention data. Additionally, this method was able to accurately determine the week in which ILI peaked 17% more often than Google Flu Trends. This work demonstrates the power of open, freely available data to aid in disease surveillance.
Embed
Wikipedia Quality
McIver, David J; Brownstein, John S.. (2015). "[[Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in Near Real-Time]]". University of Illinois at Chicago Library. DOI: 10.5210/ojphi.v7i1.5705.
English Wikipedia
{{cite journal |last1=McIver |first1=David J |last2=Brownstein |first2=John S. |title=Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in Near Real-Time |date=2015 |doi=10.5210/ojphi.v7i1.5705 |url=https://wikipediaquality.com/wiki/Wikipedia_Usage_Estimates_Prevalence_of_Influenza-Like_Illness_in_Near_Real-Time |journal=University of Illinois at Chicago Library}}
HTML
McIver, David J; Brownstein, John S.. (2015). "<a href="https://wikipediaquality.com/wiki/Wikipedia_Usage_Estimates_Prevalence_of_Influenza-Like_Illness_in_Near_Real-Time">Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in Near Real-Time</a>". University of Illinois at Chicago Library. DOI: 10.5210/ojphi.v7i1.5705.
