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    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMIR</journal-id>
      <journal-id journal-id-type="nlm-ta">Online J Public Health Inform</journal-id>
      <journal-title>Online Journal of Public Health Informatics</journal-title>
      <issn pub-type="epub">1947-2579</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v9i1e7791</article-id>
      <article-id pub-id-type="doi">10.5210/ojphi.v9i1.7791</article-id>
      <title-group>
        <article-title>Roles of Health Literacy in Relation to Social Determinants of Health and Recommendations for Informatics-Based Interventions: Systematic Review</article-title>
      </title-group>
      <pub-date pub-type="epub">
        <year>2017</year>
      </pub-date>
      <volume>9</volume>
      <issue>1</issue>
      <elocation-id>e7791</elocation-id>
      <abstract>
        <p>The International Society for Disease Surveillance (ISDS) held its</p>
        <p>fifteenth annual conference in Atlanta, GA, from December 6-8, 2016.</p>
        <p>Since 2001, individuals interested in sharing and learning emerging</p>
        <p>trends in surveillance research and practice have found the ISDS</p>
        <p>Annual Conference a unique forum to advance their knowledge in the</p>
        <p>discipline of disease surveillance. The 15th ISDS conference received</p>
        <p>a total of 233 abstracts from 23 countries. From the submissions, 189</p>
        <p>(81%) were accepted for presentation at the conference as an oral</p>
        <p>presentation (N=96) or poster (N=93).</p>
        <p>The theme for the 15th annual conference was New Frontiers in</p>
        <p>Surveillance: Data Science and Health Security. The theme united</p>
        <p>two dominant trends in public health surveillance: 1) a growing desire</p>
        <p>to extract knowledge from increasing volumes of structured and</p>
        <p>unstructured data available from health information systems; and 2)</p>
        <p>increased pressure on nations to strengthen their capacity for disease</p>
        <p>surveillance and response to outbreaks when and where they occur</p>
        <p>across the globe. In addition to the major themes of the conference,</p>
        <p>abstracts were accepted in additional tracks that remain important to</p>
        <p>the practice of public health around the world: One Health uniting</p>
        <p>animal and human health; Methodological advances in applied</p>
        <p>epidemiology; Public health informatics; Public health policy; and</p>
        <p>Biosurveillance practice.</p>
        <p>As usual, accepted abstracts for the 2016 ISDS Conference</p>
        <p>span the breadth of surveillance practice around the globe. There</p>
        <p>are timely abstracts on the detection and response to vector-borne</p>
        <p>diseases such as Zika virus and chikungunya across the Americas,</p>
        <p>as well as abstracts on the surveillance of opioid abuse observed</p>
        <p>in many parts of the U.S. Other abstracts cover the surveillance of</p>
        <p>non-communicable diseases that are now the leading causes of death</p>
        <p>globally. Additionally, some abstracts focus on capacity building</p>
        <p>within low resource settings on multiple continents to enhance global</p>
        <p>health security. While other abstracts describe the impact of health</p>
        <p>information technology (or eHealth) policies on surveillance practice</p>
        <p>at local, national, or regional levels. And still other abstracts contain</p>
        <p>emerging, novel methods that advance our understanding of how</p>
        <p>to analyze “Big” data or reduce the messiness associated with realworld</p>
        <p>surveillance data. Together these abstracts represent the broad,</p>
        <p>diverse and interesting nature of surveillance practice. Furthermore,</p>
        <p>the abstracts represent important work being done in high income</p>
        <p>countries like the U.S., Canada and the U.K. as well as critical work</p>
        <p>being done in low-and-middle income nations such as Nigeria,</p>
        <p>Pakistan, and Sierra Leone.</p>
        <p>I wish to thank the dedicated members of the Scientific Programming</p>
        <p>Committee (SPC) and ISDS staff who helped to manage the process of</p>
        <p>selecting this year’s abstracts for presentation. These individuals are</p>
        <p>domain experts across the spectrum of tracks and themes represented</p>
        <p>in the program, and their service is much appreciated. The SPC helped</p>
        <p>to recruit dozens of public health researchers and practitioners who</p>
        <p>also spent time reviewing abstracts. I also thank these volunteers</p>
        <p>for contributing to the richness and diversity of this year’s program.</p>
        <p>Finally, I wish to thank the Track Chairs who reviewed abstracts and</p>
        <p>recruited peers to perform reviews, and whom helped me organize</p>
        <p>presentations into meaningful sessions for the final conference</p>
        <p>program. Their names are listed in the proceedings to recognize their</p>
        <p>selfless service to ISDS and the field of public health surveillance.</p>
        <p>I hope that these proceedings help to advance scientific</p>
        <p>understanding and the practice of surveillance in public health. Please</p>
        <p>use the knowledge herein to improve how you practice or evaluate</p>
        <p>surveillance in your jurisdiction. Or you may find ways to apply the</p>
        <p>knowledge elsewhere in population health. However you use it, I ask</p>
        <p>that you document your lessons or findings and submit to ISDS in</p>
        <p>the future to share the outcomes with others. Together we can reduce</p>
        <p>the burden of disease and improve health outcomes for populations</p>
        <p>globally.</p>
      </abstract>
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