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  <front>
    <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="pmid">36120165</article-id>
      <article-id pub-id-type="publisher-id">v14i1e12419</article-id>
      <article-id pub-id-type="doi">10.5210/ojphi.v14i1.12419</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>2022</year>
      </pub-date>
      <volume>14</volume>
      <issue>1</issue>
      <elocation-id>e12419</elocation-id>
      <abstract>
        <p>Objective: The aims of the study were to examine the association between social media sentiments surrounding COVID-19 vaccination and the effects on vaccination rates in the United States (US), as well as other contributing factors to the COVID-19 vaccine hesitancy.</p>
        <p>Method: The dataset used in this study consists of vaccine-related English tweets collected in real-time from January 4 - May 11, 2021, posted within the US, as well as health literacy (HL), social vulnerability index (SVI), and vaccination rates at the state level.</p>
        <p>Results: The findings presented in this study demonstrate a significant correlation between the sentiments of the tweets and the vaccination rate in the US. The results also suggest a significant negative association between HL and SVI and that the state demographics correlate with both HL and SVI.</p>
        <p>Discussion: Social media activity provides insights into public opinion about vaccinations and helps determine the required public health interventions to increase the vaccination rate in the US.</p>
        <p>Conclusion: Health literacy, social vulnerability index and monitoring of social media sentiments need to be considered in public health interventions as part of vaccination campaigns.</p>
        <p>Keywords: COVID–19, Health Literacy, COVID–19 Vaccine Hesitancy, Social Vulnerability Index, Social Media, Social Determinants of Health</p>
        <p>Abbreviations: Health Literacy (HL), Social Vulnerability Index (SVI), Social Determinants of Health (SDOH), United States (US)</p>
        <p>Correspondence: gabriela.wilson@uta.edu</p>
      </abstract>
    </article-meta>
  </front>
</article>
