@article{Zheteyeva_Gao_Shi_Uzicanin_2016, title={Exploring Usability of School Closure Data for Influenza-Like Illness Surveillance}, volume={8}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/6496}, DOI={10.5210/ojphi.v8i1.6496}, abstractNote={<p class="p1">We compared tempOral patterns of respiratory illness-related unplanned school closures (USC) with influenza-like illness (ILI) data from outpatient provider visits to determine usability of these data for additional insight regarding ILI activity. We found significant correlation between USC and ILINet data (R= 0.54 with p-value <0.0001). The occurrence pattern of respiratory illness-related USCs similarly corresponded with that of ILI activity regardless of the severity of influenza season. This suggests that monitoring USCs can be a useful addition to existing influenza surveillance systems, particularly during severe influenza seasons when respiratory illness-related USCs may occur more frequently.</p>}, number={1}, journal={Online Journal of Public Health Informatics}, author={Zheteyeva, Yenlik and Gao, Hongjiang and Shi, Jianrong and Uzicanin, Amra}, year={2016}, month={Mar.} }