TY - JOUR AU - Zheteyeva, Yenlik AU - Gao, Hongjiang AU - Shi, Jianrong AU - Uzicanin, Amra PY - 2016/03/24 Y2 - 2024/03/28 TI - Exploring Usability of School Closure Data for Influenza-Like Illness Surveillance JF - Online Journal of Public Health Informatics JA - OJPHI VL - 8 IS - 1 SE - Lightning Talks DO - 10.5210/ojphi.v8i1.6496 UR - https://ojphi.org/ojs/index.php/ojphi/article/view/6496 SP - AB - <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 &lt;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> ER -