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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="abstract"><?properties open_access?><front><journal-meta><journal-id journal-id-type="nlm-ta">Online J Public Health Inform</journal-id><journal-id journal-id-type="iso-abbrev">Online J Public Health Inform</journal-id><journal-id journal-id-type="publisher-id">OJPHI</journal-id><journal-title-group><journal-title>Online Journal of Public Health Informatics</journal-title></journal-title-group><issn pub-type="epub">1947-2579</issn><publisher><publisher-name>University of Illinois at Chicago Library</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">6087914</article-id><article-id pub-id-type="publisher-id">ojphi-10-e73</article-id><article-id pub-id-type="doi">10.5210/ojphi.v10i1.8558</article-id><article-categories><subj-group subj-group-type="heading"><subject>ISDS 2018 Conference Abstracts</subject></subj-group></article-categories><title-group><article-title>How do we present messy syndromic surveillance data to public
health&#x02019;s partners?</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Atrubin</surname><given-names>David</given-names></name><xref ref-type="corresp" rid="cor1">*</xref><xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Ergas</surname><given-names>Rosa</given-names></name><xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref></contrib><contrib contrib-type="author"><name><surname>Kite-Powell</surname><given-names>Aaron</given-names></name><xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref></contrib><aff id="aff1"><label>1</label><institution>Florida Department of
Health</institution>, <addr-line>Tampa, FL</addr-line>,
<country>USA</country>; </aff><aff id="aff2"><label>2</label>Massachusetts Department of Public
Health, <addr-line>Boston, MA</addr-line>, <country>USA</country>;</aff><aff id="aff3"><label>3</label>Centers for Disease Control and Prevention, <addr-line>Atlanta,
GA</addr-line>, <country>USA</country></aff></contrib-group><author-notes><corresp id="cor1"><label>*</label>David Atrubin E-mail: <email xlink:href="david.atrubin@flhealth.gov">david.atrubin@flhealth.gov</email></corresp></author-notes><pub-date pub-type="epub"><day>30</day><month>5</month><year>2018</year></pub-date><pub-date pub-type="collection"><year>2018</year></pub-date><volume>10</volume><issue>1</issue><elocation-id>e73</elocation-id><permissions><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/"><license-p>ISDS Annual Conference Proceedings 2018. This is an Open Access
article distributed under the terms of the Creative Commons
Attribution-Noncommercial 3.0 Unported License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">http://creativecommons.org/licenses/by-nc/3.0/</ext-link>), permitting
all non-commercial use, distribution, and reproduction in any medium,
provided the original work is properly cited.</license-p></license></permissions><kwd-group kwd-group-type="author"><title>Keywords </title><kwd>data disclaimers</kwd><kwd>data sharing</kwd><kwd>variability within the data</kwd><kwd>syndromic surveillance</kwd><kwd>emergency department data</kwd></kwd-group></article-meta></front><body><sec><title>Objective</title><p>To discuss data disclaimers and caveats that are fundamental to sharing syndromic
surveillance (SyS) data</p></sec><sec sec-type="intro"><title>Introduction</title><p>With increasing awareness of SyS systems, there has been a concurrent increase in
demand for data from these systems &#x02013; both from researchers and from the
media. The opioid epidemic occurring in the United States has forced the SyS
community to determine the best way to present these data in a way that makes sense
while acknowledging the incompleteness and variability in how the data are collected
at the hospital level and queried at the user level. While significant time and
effort are spent discussing optimal queries, responsible presentation of the data -
including data disclaimers - is rarely discussed within the SyS community.</p></sec></body></article>