@article{Kunerth_Baker_Zelicoff_Elliot_Syberg_2017, title={Evaluating the application and utility of ESSENCE for early event detection}, volume={9}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/7667}, DOI={10.5210/ojphi.v9i1.7667}, abstractNote={<div style="left: 86.4px; top: 307.928px; font-size: 13.6px; font-family: sans-serif; transform: scaleX(1.08175);" data-canvas-width="61.227199999999996">Objective</div><div style="left: 100.8px; top: 322.281px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00231);" data-canvas-width="363.45319999999987">A mixed methods study is being conducted on the statewide Early</div><div style="left: 86.4px; top: 338.281px; font-size: 13.6px; font-family: serif; transform: scaleX(0.986041);" data-canvas-width="379.51071999999976">Notification of Community Based Epidemics (ESSENCE) system</div><div style="left: 86.4px; top: 354.281px; font-size: 13.6px; font-family: serif; transform: scaleX(0.949433);" data-canvas-width="378.95039999999983">in Missouri to identify factors that can improve the timeliness and</div><div style="left: 86.4px; top: 370.281px; font-size: 13.6px; font-family: serif; transform: scaleX(1.03449);" data-canvas-width="378.88376000000005">identification of outbreaks. This research will provide stakeholders</div><div style="left: 86.4px; top: 386.281px; font-size: 13.6px; font-family: serif; transform: scaleX(0.966058);" data-canvas-width="379.19384">with guidance on how best to implement and improve ESSENCE</div><div style="left: 86.4px; top: 402.281px; font-size: 13.6px; font-family: serif; transform: scaleX(1.03217);" data-canvas-width="378.46351999999996">usage statewide, and by sharing this research input can be solicited</div><div style="left: 86.4px; top: 418.281px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00394);" data-canvas-width="377.93176">on the utility of the applied framework as well as future implications</div><div style="left: 86.4px; top: 434.281px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00129);" data-canvas-width="129.56719999999999">from this body of work.</div><div style="left: 86.4px; top: 464.728px; font-size: 13.6px; font-family: sans-serif; transform: scaleX(1.11862);" data-canvas-width="79.3288">Introduction</div><div style="left: 100.8px; top: 479.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00882);" data-canvas-width="365.84816">In spite of the noted benefits of syndromic surveillance, and</div><div style="left: 86.4px; top: 495.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.03176);" data-canvas-width="378.68928">more than a decade after it started gaining support, the primary use</div><div style="left: 86.4px; top: 511.081px; font-size: 13.6px; font-family: serif; transform: scaleX(0.971506);" data-canvas-width="379.5188799999999">for syndromic surveillance appears to be largely for seasonal and</div><div style="left: 86.4px; top: 527.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.01356);" data-canvas-width="380.4219199999997">jurisdictional disease monitoring, event response and situational</div><div style="left: 86.4px; top: 543.081px; font-size: 13.6px; font-family: serif; transform: scaleX(0.981799);" data-canvas-width="377.05999999999995">awareness as opposed to its intended purpose of early event detection.</div><div style="left: 86.4px; top: 559.081px; font-size: 13.6px; font-family: serif; transform: scaleX(0.977078);" data-canvas-width="377.0055999999999">(1-4) Research assessing the user characteristics and standards applied</div><div style="left: 86.4px; top: 575.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.01794);" data-canvas-width="378.2649599999999">at local public health agencies (LPHA’s) for syndromic surveillance</div><div style="left: 86.4px; top: 591.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.03666);" data-canvas-width="378.51792000000006">are scarce, and in national surveys epidemiologists frequently tend</div><div style="left: 86.4px; top: 607.081px; font-size: 13.6px; font-family: serif; transform: scaleX(0.96185);" data-canvas-width="378.9368000000001">to utilize their own syndromic surveillance systems as opposed to</div><div style="left: 86.4px; top: 623.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.03396);" data-canvas-width="378.7736">a national system such as Biosense. While the National Syndromic</div><div style="left: 86.4px; top: 639.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.03943);" data-canvas-width="381.17807999999997">Surveillance Program (NSSP) has addressed many operational</div><div style="left: 86.4px; top: 655.081px; font-size: 13.6px; font-family: serif; transform: scaleX(0.997288);" data-canvas-width="377.68967999999995">concerns from stakeholders, and is in the process of providing access</div><div style="left: 86.4px; top: 671.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00468);" data-canvas-width="377.94400000000013">to the cloud based Biosense platform-along with ESSENCE as a key</div><div style="left: 86.4px; top: 687.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.03487);" data-canvas-width="378.62399999999974">tool, there is still a paucity of research that exists as to what can be</div><div style="left: 86.4px; top: 703.081px; font-size: 13.6px; font-family: serif; transform: scaleX(0.990457);" data-canvas-width="377.39727999999997">done to improve the utilization of syndromic surveillance systems for</div><div style="left: 86.4px; top: 719.081px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00131);" data-canvas-width="240.59760000000009">its primary purpose of early event detection.</div><div style="left: 86.4px; top: 749.528px; font-size: 13.6px; font-family: sans-serif; transform: scaleX(1.07381);" data-canvas-width="55.9096">Methods</div><div style="left: 100.8px; top: 763.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.957049);" data-canvas-width="364.77919999999995">This research proposes to evaluate the use of ESSENCE within</div><div style="left: 86.4px; top: 779.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.995684);" data-canvas-width="379.6875199999999">Missouri and the surrounding areas, to comprehensively identify</div><div style="left: 86.4px; top: 795.881px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00894);" data-canvas-width="380.25327999999996">its strengths and limitations, through an assessment of the user</div><div style="left: 86.4px; top: 811.881px; font-size: 13.6px; font-family: serif; transform: scaleX(1.02294);" data-canvas-width="380.8571199999992">experience. This research will evaluate three key areas: 1) the</div><div style="left: 86.4px; top: 827.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.955304);" data-canvas-width="378.84159999999974">quality of the data received by the syndromic surveillance system,</div><div style="left: 86.4px; top: 843.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.964898);" data-canvas-width="379.04423999999966">2) the characteristics of the individuals and organizations utilizing</div><div style="left: 86.4px; top: 859.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.983139);" data-canvas-width="379.54064000000017">the system (end-users), 3) the influence and extent of syndromic</div><div style="left: 86.4px; top: 875.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.961375);" data-canvas-width="379.07008">surveillance data on public health actions. ESSENCE data will be</div><div style="left: 86.4px; top: 891.881px; font-size: 13.6px; font-family: serif; transform: scaleX(1.01614);" data-canvas-width="378.32480000000004">evaluated directly with special attention to the top three data quality</div><div style="left: 86.4px; top: 907.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.984502);" data-canvas-width="374.2583999999998">attributes across the literature, completeness, accuracy and timeliness.</div><div style="left: 86.4px; top: 923.881px; font-size: 13.6px; font-family: serif; transform: scaleX(0.984479);" data-canvas-width="377.41631999999987">(5) A survey will also be administered to ESSENCE system users and</div><div style="left: 86.4px; top: 939.881px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00534);" data-canvas-width="377.75496">public health leadership at LPHA’s, to gain insight into perspectives,</div><div style="left: 86.4px; top: 955.881px; font-size: 13.6px; font-family: serif; transform: scaleX(1.02634);" data-canvas-width="378.63488">perceptions and general practices, as well as how they interact with</div><div style="left: 86.4px; top: 971.881px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00131);" data-canvas-width="118.2384">data from ESSENCE.</div><div style="left: 86.4px; top: 1002.33px; font-size: 13.6px; font-family: sans-serif; transform: scaleX(1.0848);" data-canvas-width="49.123200000000004">Results</div><div style="left: 100.8px; top: 1016.68px; font-size: 13.6px; font-family: serif; transform: scaleX(1.02038);" data-canvas-width="364.08968000000004">The data for this research is primarily being collected throughout</div><div style="left: 86.4px; top: 1032.68px; font-size: 13.6px; font-family: serif; transform: scaleX(0.970838);" data-canvas-width="379.90511999999984">the fall of 2016, so the hope is to bring preliminary data to this</div><div style="left: 86.4px; top: 1048.68px; font-size: 13.6px; font-family: serif; transform: scaleX(1.02028);" data-canvas-width="378.36968">conference as a means to validate some of the findings, solicit input</div><div style="left: 86.4px; top: 1064.68px; font-size: 13.6px; font-family: serif; transform: scaleX(0.978255);" data-canvas-width="377.1823999999997">on the proposed framework and share this research in a timely manner</div><div style="left: 86.4px; top: 1080.68px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00113);" data-canvas-width="270.8712000000001">for the NSSP roll out of Biosense and ESSENCE.</div><div style="left: 86.4px; top: 1111.13px; font-size: 13.6px; font-family: sans-serif; transform: scaleX(1.10338);" data-canvas-width="81.6136">Conclusions</div><div style="left: 100.8px; top: 1125.48px; font-size: 13.6px; font-family: serif; transform: scaleX(1.00771);" data-canvas-width="366.08480000000003">Through a thorough evaluation, the application and utility of</div><div style="left: 86.4px; top: 1141.48px; font-size: 13.6px; font-family: serif; transform: scaleX(1.01174);" data-canvas-width="378.2228">ESSENCE for early event detection will be better understood, along</div><div style="left: 86.4px; top: 1157.48px; font-size: 13.6px; font-family: serif; transform: scaleX(0.954041);" data-canvas-width="379.15168000000017">with the identification of factors that can be targeted in the future</div><div style="left: 489.6px; top: 306.281px; font-size: 13.6px; font-family: serif; transform: scaleX(0.983627);" data-canvas-width="377.38504000000006">(and across syndromic surveillance platforms) for improvement in the</div><div style="left: 489.6px; top: 322.281px; font-size: 13.6px; font-family: serif; transform: scaleX(1.0055);" data-canvas-width="185.09600000000006">timely identification of outbreaks.</div>}, number={1}, journal={Online Journal of Public Health Informatics}, author={Kunerth, Allison K. and Baker, Elizabeth and Zelicoff, Alan and Elliot, Michael and Syberg, Kevin}, year={2017}, month={May} }