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Online J Public Health InformOnline J Public Health InformOJPHIOnline Journal of Public Health Informatics1947-2579University of Illinois at Chicago Library ojphi-10-e18710.5210/ojphi.v10i1.8980ISDS 2018 Conference AbstractsThe Myths and Truths About Comparing Syndromic Data Across
Sites Coletta Michael *Kite-Powell Aaron CSELS/DHIS, Centers for Disease Control and
Prevention, Atlanta, GA,
USA* Michael Coletta E-mail: mac0@cdc.gov30 5 2018 2018 10 1 e187ISDS Annual Conference Proceedings 2018. This is an Open Access
article distributed under the terms of the Creative Commons
Attribution-Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all
non-commercial use, distribution, and reproduction in any medium, provided the
original work is properly cited.Keywords 
NSSPSharing DataComparing Data Across sitesNational SurveillanceRegional Surveillance
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Objective
As the BioSense Platform matures and more sites submit surveillance data, many in the
community have voiced concerns about comparing data across sites. Recently, a number
of jurisdictions from across the country were asked to provide opioid overdose data
to a news agency highlighting the epidemic. Many jurisdictions requested information
on how to present syndromic surveillance data from across sites and shared concern
about how the data would be interpreted. This round table will address those
concerns and explore options for comparing data across sites.

Introduction
One of the more recent successes of NSSP has been the introduction of more robust
data quality monitoring and reporting. However, despite the increased insight into
data quality, there are still concerns about data sharing and comparisons across
sites. For NSSP to be most effective, users need to feel confident in sharing data
and making comparisons across sites.