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<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="letter" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDERM</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Dermatol</journal-id>
      <journal-title>JMIR Dermatology</journal-title>
      <issn pub-type="epub">2562-0959</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">v6i1e48827</article-id>
      <article-id pub-id-type="pmid">37672322</article-id>
      <article-id pub-id-type="doi">10.2196/48827</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Letter</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Research Letter</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Assessing Public Interest in Mpox via Google Trends, YouTube, and TikTok</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Dellavalle</surname>
            <given-names>Robert</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ceron</surname>
            <given-names>Wilson</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Allam</surname>
            <given-names>Ayman</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Carvalho</surname>
            <given-names>Darlinton</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Comeau</surname>
            <given-names>Nicholas</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Michigan State University College of Human Medicine</institution>
            <addr-line>15 Michigan Street NE</addr-line>
            <addr-line>Grand Rapids, MI, 49503</addr-line>
            <country>United States</country>
            <phone>1 269 953 5067</phone>
            <email>comeauni@msu.edu</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-9289-5072</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Abdelnour</surname>
            <given-names>Alyssa</given-names>
          </name>
          <degrees>BSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8099-4380</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Ashack</surname>
            <given-names>Kurt</given-names>
          </name>
          <degrees>BSc, MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5409-3201</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Michigan State University College of Human Medicine</institution>
        <addr-line>Grand Rapids, MI</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Nicholas Comeau <email>comeauni@msu.edu</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>6</day>
        <month>9</month>
        <year>2023</year>
      </pub-date>
      <volume>6</volume>
      <elocation-id>e48827</elocation-id>
      <history>
        <date date-type="received">
          <day>8</day>
          <month>5</month>
          <year>2023</year>
        </date>
        <date date-type="rev-request">
          <day>8</day>
          <month>8</month>
          <year>2023</year>
        </date>
        <date date-type="rev-recd">
          <day>17</day>
          <month>8</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>28</day>
          <month>8</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Nicholas Comeau, Alyssa Abdelnour, Kurt Ashack. Originally published in JMIR Dermatology (http://derma.jmir.org), 06.09.2023.</copyright-statement>
      <copyright-year>2023</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 JMIR Dermatology, is properly cited. The complete bibliographic information, a link to the original publication on http://derma.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://derma.jmir.org/2023/1/e48827" xlink:type="simple"/>
      <abstract>
        <p>Public response to the recent Mpox outbreak was analyzed using internet search trends and social media posts.</p>
      </abstract>
      <kwd-group>
        <kwd>monkeypox</kwd>
        <kwd>Mpox</kwd>
        <kwd>social media</kwd>
        <kwd>internet</kwd>
        <kwd>Google Trends</kwd>
        <kwd>YouTube</kwd>
        <kwd>TikTok</kwd>
        <kwd>dermatologists</kwd>
        <kwd>dermatology</kwd>
        <kwd>dermatologist</kwd>
        <kwd>awareness</kwd>
        <kwd>interest</kwd>
        <kwd>infectious</kwd>
        <kwd>sexually transmitted disease</kwd>
        <kwd>STD</kwd>
        <kwd>sexually transmitted infection</kwd>
        <kwd>STI</kwd>
        <kwd>sexual transmission</kwd>
        <kwd>sexually transmitted</kwd>
        <kwd>outbreak</kwd>
        <kwd>outbreaks</kwd>
        <kwd>information seeking</kwd>
        <kwd>information behaviour</kwd>
        <kwd>information behavior</kwd>
        <kwd>search</kwd>
        <kwd>information quality</kwd>
        <kwd>communicable</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>With the advent of Mpox (formerly known as monkeypox), it is crucial for patients to better understand its symptoms and dermatological presentations. Social media platforms are accessible sources that can enhance disease awareness and knowledge of treatment options [<xref ref-type="bibr" rid="ref1">1</xref>]. Unfortunately, video content on social media is not screened prior to dissemination, so misinformation on Mpox has increased tremendously. Content created by physicians is needed to increase awareness of the disease and its treatment options. We sought to evaluate the quality of social media posts related to Mpox on TikTok and YouTube.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>We used Google Trends to search for the term “monkeypox” to assess recent changes in searches between May and July 2022. YouTube and TikTok searches were performed with the term “monkeypox.” Results were evaluated for the presence or absence of a physician, and videos were assessed using DISCERN criteria. The Student <italic>t</italic> test was used to compare mean DISCERN scores between physician and nonphysician creators. DISCERN is a tool that is useful for evaluating consumer health information [<xref ref-type="bibr" rid="ref2">2</xref>]. Previous studies have shown it is also useful in determining the quality of social media posts on health-related topics [<xref ref-type="bibr" rid="ref3">3</xref>]. Only the first 50 videos on YouTube and TikTok were analyzed in order to replicate the general audience viewing experience. Videos not in English, videos without words, and duplicate videos were excluded.</p>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>We found that Google searches for the term “monkeypox” correlated with the prevalence of cases by state using Google Trends and data from the Centers for Disease Control and Prevention (Pearson <italic>r</italic>=0.74, <italic>P</italic>&#60;.001) (<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>). Of the 50 TikTok videos analyzed (<xref ref-type="table" rid="table1">Table 1</xref>), 32 (64%) videos featured nonphysicians and 18 (36%) featured physicians. Videos featuring nonphysicians had an average DISCERN score of 1.82 (SD 0.44) whereas physician-created videos had an average score of 2.56 (SD 0.57) (<italic>P</italic>&#60;.001).</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Overview of Mpox content on TikTok.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="30"/>
          <col width="170"/>
          <col width="100"/>
          <col width="180"/>
          <col width="170"/>
          <col width="180"/>
          <col width="170"/>
          <thead>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>Videos, n</td>
              <td>Number of views, mean (SD)</td>
              <td>Number of likes, mean (SD)</td>
              <td>Number of comments, mean (SD)</td>
              <td>DISCERN score, mean (SD)</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="7">
                <bold>Content creator</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Physician</td>
              <td>18</td>
              <td>432,800 (503,684)</td>
              <td>32,529 (53,659)</td>
              <td>1038.83 (1518)</td>
              <td>2.56 (0.57)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Nonphysician</td>
              <td>32</td>
              <td>1,578,069 (2,209,723)</td>
              <td>169,024 (307,217)</td>
              <td>2286 (3260)</td>
              <td>1.82 (0.44)</td>
            </tr>
            <tr valign="top">
              <td colspan="7">
                <bold>Video type</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Educational</td>
              <td>24</td>
              <td>599,654 (1,091,832)</td>
              <td>41,193 (74,693)</td>
              <td>935.33 (4176)</td>
              <td>2.41 (0.55)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>News</td>
              <td>16</td>
              <td>1,995,819 (2,751,170)</td>
              <td>258,969 (409,353)</td>
              <td>3352 (4176)</td>
              <td>1.82 (0.29)</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Personal testimony</td>
              <td>10</td>
              <td>1,196,380 (1,111,310)</td>
              <td>86,214 (93,152)</td>
              <td>1576.80 (1656)</td>
              <td>1.77 (0.72)</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Our analysis revealed that physician-created YouTube videos had a mean DISCERN score of 3.31 (SD 1.15), while nonphysician videos had a mean score of 1.99 (SD 0.36) (<xref ref-type="table" rid="table2">Table 2</xref>). However, the difference between the DISCERN scores was not statistically significant (<italic>P</italic>=.35). Of the 50 YouTube videos evaluated, 37 videos featured nonphysicians describing the outbreak in the United States, while only 2 videos were created solely by physicians, which likely caused limitations in the DISCERN analysis. A total of 11 videos were excluded from the analysis: 2 were duplicate videos, 1 was a YouTube “short,” and 8 videos were created by news sources that featured physician speakers.</p>
      <table-wrap position="float" id="table2">
        <label>Table 2</label>
        <caption>
          <p>Overview of Mpox content on YouTube.</p>
        </caption>
        <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
          <col width="170"/>
          <col width="110"/>
          <col width="180"/>
          <col width="180"/>
          <col width="180"/>
          <col width="180"/>
          <thead>
            <tr valign="top">
              <td>Content Creator</td>
              <td>Videos, n</td>
              <td>Number of views, mean (SD)</td>
              <td>Number of likes, mean (SD)</td>
              <td>Number of comments, mean (SD)</td>
              <td>DISCERN score, mean (SD)</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td>Physician<sup>a</sup></td>
              <td>2</td>
              <td>250,803 (138,908)</td>
              <td>7100 (3652)</td>
              <td>980 (550)</td>
              <td>3.31 (1.15)</td>
            </tr>
            <tr valign="top">
              <td>Nonphysician<sup>b</sup></td>
              <td>37</td>
              <td>27,066 (83,888)</td>
              <td>361 (1144)</td>
              <td>304.73 (507)</td>
              <td>1.99 (0.36)</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table2fn1">
            <p><sup>a</sup>The video type was “educational” for both videos.</p>
          </fn>
          <fn id="table2fn2">
            <p><sup>b</sup>The video type was “news” for all videos.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>Based on the Google Trends analysis, there was an increase in public interest for Mpox, which occurred during the disease outbreak. This shows an increase in community response to the Mpox outbreak by searching for additional information via Google.</p>
        <p>Analysis of videos on YouTube and TikTok identified a need for physician-created content to provide quality educational information on Mpox. With increased social media usage by physicians, these platforms can be used as an educational tool while also decreasing the spread of both infection and misinformation.</p>
        <p>Physician-created TikTok videos had a significantly higher DISCERN score, indicating a higher quality of consumer health information. Physicians scored particularly well on the questions “is it balanced and unbiased?” and “does it describe how each treatment works?”. The majority of YouTube videos found were created by news sources, and the difference in DISCERN averages between nonphysician and physician data was not significant. A limitation of this study is the inclusion of only a small number of physician-created videos in the analysis.</p>
      </sec>
      <sec>
        <title>Conclusion</title>
        <p>To summarize, Google Trends remains a useful tool for analyzing the public response to local disease outbreaks [<xref ref-type="bibr" rid="ref4">4</xref>]. This could hold future potential in monitoring the spread of disease even before statistical data indicate a local outbreak. Additional research is needed to investigate whether a temporal relationship between Google searches and local disease outbreaks exists.</p>
        <p>In general, the quality of videos on both TikTok and YouTube can be improved if content creators discuss the risks and benefits of treatments, provide references for the information shared in their videos, and collaborate with physicians.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Cases reported by the Centers for Disease Control and Prevention from May 1, 2022, to July 26, 2022 (left) and “monkeypox” searches by state from the same period (right).</p>
        <media xlink:href="derma_v6i1e48827_app1.png" xlink:title="PNG File , 57 KB"/>
      </supplementary-material>
    </app-group>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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