@article{McIver_Brownstein_2015, title={Wikipedia Usage Estimates Prevalence of Influenza-like Illness in Near Real-Time}, volume={7}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/5705}, DOI={10.5210/ojphi.v7i1.5705}, abstractNote={<p class="p1">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.</p>}, number={1}, journal={Online Journal of Public Health Informatics}, author={McIver, David and Brownstein, John S.}, year={2015}, month={Feb.} }