Wikipedia Usage Estimates Prevalence of Influenza-like Illness in Near Real-Time | Zendy

David J. McIver | Zendy; John S. Brownstein | Zendy

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Wikipedia Usage Estimates Prevalence of Influenza-like Illness in Near Real-Time

Author(s) -

David J. McIver,

John S. Brownstein

Publication year - 2015

Publication title -

online journal of public health informatics

Language(s) - English

Resource type - Journals

ISSN - 1947-2579

DOI - 10.5210/ojphi.v7i1.5705

Subject(s) - influenza like illness , medicine , disease control , population , disease , disease surveillance , computer science , data science , demography , environmental health , virology , pathology , virus , sociology

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.

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