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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IPROC</journal-id>
      <journal-id journal-id-type="nlm-ta">iproc</journal-id>
      <journal-title>Iproceedings</journal-title>
      <issn pub-type="epub">2369-6893</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">v4i1e10619</article-id>
    <article-id pub-id-type="pmid"/>
    <article-id pub-id-type="doi">10.2196/10619</article-id>
    <article-categories>
      <subj-group subj-group-type="heading">
        <subject>Abstract</subject>
      </subj-group>
      <subj-group subj-group-type="article-type">
        <subject>Abstract</subject>
      </subj-group>
    </article-categories>
    <title-group>
      <article-title>Evaluation of Lab-based Influenza Surveillance System in Pakistan, 2017</article-title>
    </title-group>
    <contrib-group>
      <contrib contrib-type="editor">
        <name>
          <surname>Khader</surname>
          <given-names>Yousef</given-names>
        </name>
      </contrib>
    </contrib-group>
    <contrib-group>
      <contrib contrib-type="author" id="contrib1" corresp="yes">
        <name name-style="western">
          <surname>Noreen</surname>
          <given-names>Nadia</given-names>
        </name>
      </contrib>
    </contrib-group>
    <author-notes>
      <corresp>Corresponding Author: Nadia Noreen 
      <email>nadia.jamil3@gmail.com</email></corresp>
    </author-notes>
    <pub-date pub-type="collection"><season>Jan-Dec</season><year>2018</year></pub-date>
    <pub-date pub-type="epub">
      <day>29</day>
      <month>03</month>
      <year>2018</year>
    </pub-date>
    <volume>4</volume>
    <issue>1</issue>
    <elocation-id>e10619</elocation-id>
    <!--history from ojs - api-xml-->
    <history>
      <date date-type="received">
        <day>29</day>
        <month>3</month>
        <year>2018</year>
      </date>
      <date date-type="accepted">
        <day>29</day>
        <month>3</month>
        <year>2018</year>
      </date>
    </history>
    <!--(c) the authors - correct author names and publication date here if necessary. Date in form ', dd.mm.yyyy' after jmir.org-->
    <copyright-statement>©Nadia Noreen. Originally published in Iproceedings (http://www.iproc.org), 29.03.2018.</copyright-statement>
    <copyright-year>2018</copyright-year>
    <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
      <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in Iproceedings, is properly cited. The complete bibliographic information, a link to the original publication on http://www.iproc.org/, as well as this copyright and license information must be included.</p>
    </license>  
    <self-uri xlink:href="http://www.iproc.org/2018/1/e10619/" xlink:type="simple"/>
    <abstract>
      <sec sec-type="background">
        <title>Background</title>
        <p>Globally 5-10% of adults and 20-30% of the children are affected by influenza annually. Annual epidemics results in 3-5 million cases and 500,000 deaths. Influenza is a common illness in Pakistan however absence of a robust surveillance system makes assessment of burden of disease an issue.</p>
      </sec>
      <sec sec-type="objective">
        <title>Objective</title>
        <p>The study was conducted to identify key strengths and weaknesses of the system and to make recommendations based on findings.</p>
      </sec>
      <sec sec-type="methods">
        <title>Methods</title>
        <p>An evaluative descriptive study was conducted from April to July 2017. The Lab-based Influenza Surveillance System was conducted at the national level. Assessment of qualitative and quantitative system attributes was done utilizing the CDC’s Updated Guidelines for Evaluating Public Health Surveillance Systems, 2001. Desk review of literature, departmental documents and reports were also conducted. The stakeholders were identified and interviewed using a semi-structured questionnaire.</p>
      </sec>
      <sec sec-type="results">
        <title>Results</title>
        <p>The system was found to be simple and easy to operate but less flexible to integrate with other diseases. Data quality was good as 80% of observed forms were completely filled. Timeliness was good as the data takes 24-48 hours from sample collection to report submission to the central level. Acceptability is good as private and public-sector hospitals and labs are involved. Sensitivity calculated was 62% and Predictive Value Positive (PVP) was 37.2%. The representativeness of Lab based influenza surveillance system is poor as it is a sentinel surveillance with specific reporting sites strategically placed. Data from all sentinel sites is analyzed at national reference lab where it is summarized to use for planning and management purposes.</p>
      </sec>
      <sec sec-type="conclusions">
        <title>Conclusions</title>
        <p>The system is meeting its objectives. Sustainability and stability of the system needs to be improved by allocation of public funds. Extension of the coverage of the system will result in improved representativeness. Regular capacity building of the staff at reporting site will ensure continued quality of reporting.</p>
      </sec>
    </abstract></article-meta>
  </front>
</article>
