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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JFR</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Form Res</journal-id>
      <journal-title>JMIR Formative Research</journal-title>
      <issn pub-type="epub">2561-326X</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">v7i1e44031</article-id>
      <article-id pub-id-type="pmid">37610816</article-id>
      <article-id pub-id-type="doi">10.2196/44031</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Trends in the Baidu Index in Search Activity Related to Mpox at Geographical and Economic Levels and Associated Factors in China: National Longitudinal Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Wang</surname>
            <given-names>Xiaoyan</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author">
          <name name-style="western">
            <surname>Du</surname>
            <given-names>Min</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9958-7686</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Yan</surname>
            <given-names>Wenxin</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-2725-9840</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Zhu</surname>
            <given-names>Lin</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-4490-9246</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Liang</surname>
            <given-names>Wannian</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-7116-0878</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Liu</surname>
            <given-names>Min</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5059-3743</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Liu</surname>
            <given-names>Jue</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Epidemiology and Biostatistics</institution>
            <institution>School of Public Health</institution>
            <institution>Peking University</institution>
            <addr-line>38 Xueyuan Road</addr-line>
            <addr-line>Haidian District</addr-line>
            <addr-line>Beijing, 100191</addr-line>
            <country>China</country>
            <phone>86 13426455743</phone>
            <email>jueliu@bjmu.edu.cn</email>
          </address>
          <xref rid="aff4" ref-type="aff">4</xref>
          <xref rid="aff5" ref-type="aff">5</xref>
          <xref rid="aff6" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1938-9365</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Epidemiology and Biostatistics</institution>
        <institution>School of Public Health</institution>
        <institution>Peking University</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Center for Primary Care and Outcomes Research, School of Medicine, Center for Health Policy</institution>
        <institution>Freeman Spogli Institute for International Studies</institution>
        <institution>Stanford University</institution>
        <addr-line>Stanford, CA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Vanke School of Public Health</institution>
        <institution>Tsinghua University</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Institute for Global Health and Development</institution>
        <institution>Peking University</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Global Health and Infectious Diseases Group</institution>
        <institution>Global Center for Infectious Disease and Policy Research</institution>
        <institution>Peking University</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff6">
        <label>6</label>
        <institution>Key Laboratory of Reproductive Health</institution>
        <institution>National Health and Family Planning Commission of the People’s Republic of China</institution>
        <addr-line>Beijing</addr-line>
        <country>China</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Jue Liu <email>jueliu@bjmu.edu.cn</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>23</day>
        <month>8</month>
        <year>2023</year>
      </pub-date>
      <volume>7</volume>
      <elocation-id>e44031</elocation-id>
      <history>
        <date date-type="received">
          <day>3</day>
          <month>11</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>17</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd">
          <day>19</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>28</day>
          <month>7</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Min Du, Wenxin Yan, Lin Zhu, Wannian Liang, Min Liu, Jue Liu. Originally published in JMIR Formative Research (https://formative.jmir.org), 23.08.2023.</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 Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://formative.jmir.org/2023/1/e44031" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Research assessing trends in online search activity related to mpox in China is scarce.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>We aimed to provide evidence for an overview of online information searching during an infectious disease outbreak by analyzing trends in online search activity related to mpox at geographical and economic levels in China and explore influencing factors.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>We used the Baidu index to present online search activity related to mpox from May 19 to September 19, 2022. Segmented interrupted time-series analysis was used to estimate trends in online search activity. Factors influencing these trends were analyzed using a general linear regression (GLM) model. We calculated the concentration index to measure economic-related inequality in online search activity and related trends.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>Online search activity was highest on the day the first imported case of mpox appeared in Chongqing compared to 3 other cutoff time points. After the day of the first imported mpox case in Taiwan, the declaration of a public health emergency of international concern, the first imported mpox case in Hong Kong, and the first imported mpox case in Chongqing, national online search activity increased by 0.642%, 1.035%, 1.199%, and 2.023%, respectively. The eastern regions had higher increases than the central and western regions. Across 31 provinces, municipalities, and autonomous regions, the top 3 areas with higher increases were Beijing, Shanghai, and Tianjin at 3 time points, with the exception of the day of the first imported mpox case in Chongqing (Chongqing replaced Tianjin on that day). When AIDS incidence increased by 1 per 100,000 people, there was an increase after the day of the first imported mpox case in Chongqing of 36.22% (95% CI 3.29%-69.15%; <italic>P</italic>=.04) after controlling for other covariates. Online search activity (concentration index=0.18; <italic>P</italic>&#60;.001) was more concentrated among populations with a higher economic status. Unlike the central area, the eastern (concentration index=0.234; <italic>P</italic>&#60;.001) and western areas (concentration index=0.047; <italic>P</italic>=.04) had significant economic-related disparities (<italic>P</italic> for difference &#60;.001) in online search activity. The overall concentration index of changes in online search activity became lower over time.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>Regions with a higher economic level showed more interest in mpox, especially Beijing and Shanghai. After the day of the first imported mpox case in Chongqing, changes in online search activity were affected by AIDS incidence rate. Economic-related disparities in changes in online search activity became lower over time. It would be desirable to construct a reliable information source in regions with a higher economic level and higher AIDS incidence rate and promote public knowledge in regions with a lower economic level in China, especially after important public events.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>mpox</kwd>
        <kwd>internet attention</kwd>
        <kwd>emergency</kwd>
        <kwd>disparities</kwd>
        <kwd>China</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Recently, a multiple-country mpox outbreak has attracted public attention. Beginning with the first human mpox case from the Democratic Republic of the Congo in 1970, sporadic zoonosis caused by <italic>Orthopoxvirus</italic>, namely, the Central African clade (clade I) and the West African clade (clade II), began to spread in rural rainforest villages of western and central Africa [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref2">2</xref>]. Prior to May 2022, human mpox was mainly epidemic in African countries [<xref ref-type="bibr" rid="ref3">3</xref>]. However, since the United Kingdom reported a confirmed mpox case in a returnee from Nigeria, subsequent mpox virus infections occurred in multiple nonepidemic countries [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>]. As of July 26, 2023, a total of 88,549 confirmed mpox cases across 113 countries or territories were reported globally [<xref ref-type="bibr" rid="ref6">6</xref>].</p>
      <p>The World Health Organization (WHO) International Health Regulations Emergency Committee officially announced that the mpox epidemic constituted a public health emergency of international concern (PHEIC) on July 23, 2022 [<xref ref-type="bibr" rid="ref7">7</xref>]. With the development of the global economy, infectious disease outbreaks usually result in a public reaction in numerous countries other than the outbreak country. Although up to October 30, 2022, there were no local mpox cases in mainland China, imported cases were identified in Taiwan, Hong Kong, and Chongqing on June 24, September 6, and September 16, 2022, respectively [<xref ref-type="bibr" rid="ref8">8</xref>,<xref ref-type="bibr" rid="ref9">9</xref>]. Increasing search interest about a particular disease represents the development of an epidemic and reflects limited knowledge [<xref ref-type="bibr" rid="ref10">10</xref>]. Therefore, evidence for interest in mpox in China is still needed to provide a reference for information management related to the spread of infectious diseases that have become a subject of public interest [<xref ref-type="bibr" rid="ref11">11</xref>]. Online search activity reflects matters of concern in a population, and this activity is commonly captured by internet search engines, such as the Baidu index in China [<xref ref-type="bibr" rid="ref12">12</xref>-<xref ref-type="bibr" rid="ref14">14</xref>]. We used the Baidu index in this study to determine trends in online search activity related to mpox and changes in this activity after 4 key cutoff time points (the first imported mpox case in Taiwan, the announcement of a PHEIC, the first imported mpox case in Hong Kong, and the first imported mpox case in Chongqing) using a time-series interrupted analysis to obtain evidence for comprehensive information management at the geographical level. In addition, online search activity may vary across the 31 provinces, municipalities, and autonomous regions in China because of differences in socioeconomic development and other possible factors, including demographic characteristics, human health resources, and disease burden [<xref ref-type="bibr" rid="ref12">12</xref>]. Therefore, we calculated a concentration index of online search activity and its changes, analyzed factors influencing changes in this index to observe economic disparities, and provide the resulting detailed evidence for public information management.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Online Search Activity</title>
        <p>The Baidu index was used to retrieve data on internet search activity related to mpox. Baidu has been used to retrieve information on the interests of more than 75% of the Chinese population [<xref ref-type="bibr" rid="ref15">15</xref>]. Data are obtained by calculating the number of searches for specific keywords [<xref ref-type="bibr" rid="ref16">16</xref>]. Here, we extracted daily online search activity from May 19 to September 19, 2022, for the keyword <italic>mpox</italic>. Considering the different population sizes in the 31 provinces, municipalities, and autonomous regions, and in order to compare search volumes at a geographical level, we calculated the online search activity per 10,000 people.</p>
      </sec>
      <sec>
        <title>Covariates</title>
        <p>Data on daily cumulative confirmed mpox cases was retrieved from Our World in Data [<xref ref-type="bibr" rid="ref17">17</xref>]. Covariates were extracted from the China Health Statistics Yearbook 2022 [<xref ref-type="bibr" rid="ref18">18</xref>] and included the total population size; life expectancy; gross domestic product (GDP) per capita; the number of medical and health institutions, health personnel, and hospital beds; total health expenditures; the number of outpatient services; AIDS incidence per 100,000 people; AIDS mortality per 100,000 people; gonorrhea incidence per 100,000 people; and syphilis incidence per 100,000 people.</p>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>We used interrupted time-series analysis (ITS) to estimate changes in online search activity after adjusting for potential seasonality, autocorrelation, and covariates. The 4 cutoff time points were all in 2022 and included June 24 (first imported mpox case in Taiwan), July 23 (announcement of a PHEIC), September 6 (first imported mpox case in Hong Kong) and September 16 (first imported mpox case in Chongqing ). Then, we analyzed the relationships between changes in online search activity and demographic characteristics, human health resources, and disease burden to explore influencing factors using a general linear regression (GLM) model.</p>
        <p>In this study, the distribution of online search activity at an economic level was examined with the GDP per capita of each province. The Lorenz curve was obtained by plotting the cumulative percentage of daily online search activity per 10,000 people (on the y-axis) against the cumulative percentage of the population ranked by GDP per capita (on the x-axis). The concentration index (C) can be calculated using the following formula: [<xref ref-type="bibr" rid="ref19">19</xref>]</p>
        <p>
          <graphic xlink:href="formative_v7i1e44031_fig6.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </p>
        <p>where h refers to the outcome, μ is the mean of h, and r denotes the fractional rank of individuals in the distribution used (economic status). The concentration index ranges between –1 and +1. A value of zero for concentration index represented absolute fairness, with no economic inequality. If the concentration index has a negative value, it indicates that online search activity was more concentrated among poor people (ie, pro-rich). Conversely, if the concentration index has a positive value, it indicates that online search activity was more concentrated among rich people (ie, pro-poor) [<xref ref-type="bibr" rid="ref20">20</xref>]. All analyses were conducted in R (version 4.1.0; R Core Team).</p>
      </sec>
      <sec>
        <title>Ethical Approval</title>
        <p>Ethical approval is not required as the deidentified data are publicly available.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Trends in Online Search Activity at National and Provincial Levels</title>
        <p>From May 9 to September 19, 2022, except for a peak in the early period, national online search activity peaked on June 24, July 23, September 6, and September 16, 2022 (September 16 saw the first imported mpox case in Chongqing and had an especially strong peak). There were similar patterns in the eastern, central, and western regions (<xref rid="figure1" ref-type="fig">Figure 1</xref>). Across the 31 provinces, municipalities, and autonomous regions in the early period, Beijing and Shanghai were the top 2 areas with higher online search activity. Online search activity was clearly highest on the day of the first imported mpox case in Chongqing when compared to the other 3 cutoff time points (<xref rid="figure2" ref-type="fig">Figure 2</xref>).</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Daily online search activity related to mpox at national and regional levels in China from May 19 to September 19, 2022. PHEIC: public health emergency of international concern.</p>
          </caption>
          <graphic xlink:href="formative_v7i1e44031_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Heat plot of online search activity in 31 provinces, municipalities, and autonomous regions in China from May 19 to September 19, 2022. Redder shading indicates higher online search activity.</p>
          </caption>
          <graphic xlink:href="formative_v7i1e44031_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p>After the day of the first imported mpox case in Taiwan, announcement of the PHEIC, the first imported mpox case in Hong Kong, and the first imported mpox case in Chongqing, national online search activity increased by 0.642%, 1.035%, 1.199%, and 2.023%, respectively (<xref ref-type="table" rid="table1">Table 1</xref>). The increases were higher at all time points in the eastern regions compared to the central and western regions (<xref ref-type="table" rid="table1">Table 1</xref>). Across the 31 provinces, municipalities, and autonomous regions, the 3 provinces with the highest increases were Beijing, Shanghai, and Tianjin, until the day of the first imported mpox case in Chongqing, after which Chongqing replaced Tianjin (<xref ref-type="table" rid="table1">Table 1</xref> and <xref rid="figure3" ref-type="fig">Figure 3</xref>).</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Changes in online search activity related to mpox in China and its 31 provinces, municipalities, and autonomous regions from May 19 to September 19, 2022.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="140"/>
            <col width="120"/>
            <col width="100"/>
            <col width="120"/>
            <col width="80"/>
            <col width="120"/>
            <col width="90"/>
            <col width="0"/>
            <col width="120"/>
            <col width="80"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Areas</td>
                <td colspan="2">First imported mpox case in Taiwan</td>
                <td colspan="2">Announcement of public health emergency of international concern</td>
                <td colspan="3">First imported mpox case in Hong Kong</td>
                <td colspan="2">First imported mpox case in Chongqing</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Change, %</td>
                <td><italic>P</italic> value</td>
                <td>Change, %</td>
                <td><italic>P</italic> value</td>
                <td>Change, %</td>
                <td><italic>P</italic> value</td>
                <td colspan="2">Change, %</td>
                <td><italic>P</italic> value</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">National</td>
                <td>0.642</td>
                <td>&#60;.001</td>
                <td>1.035</td>
                <td>&#60;.001</td>
                <td>1.199</td>
                <td>&#60;.001</td>
                <td colspan="2">2.023</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="11">
                  <bold>Regions</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>East</td>
                <td>0.886</td>
                <td>&#60;.001</td>
                <td>1.417</td>
                <td>&#60;.001</td>
                <td>1.633</td>
                <td>&#60;.001</td>
                <td colspan="2">2.408</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Central</td>
                <td>0.487</td>
                <td>&#60;.001</td>
                <td>0.777</td>
                <td>&#60;.001</td>
                <td>0.887</td>
                <td>&#60;.001</td>
                <td colspan="2">1.351</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>West</td>
                <td>0.427</td>
                <td>&#60;.001</td>
                <td>0.714</td>
                <td>&#60;.001</td>
                <td>0.858</td>
                <td>&#60;.001</td>
                <td colspan="2">2.159</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="11">
                  <bold>Provinces, municipalities, and autonomous regions</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Anhui</td>
                <td>0.486</td>
                <td>&#60;.001</td>
                <td>0.781</td>
                <td>&#60;.001</td>
                <td>0.875</td>
                <td>&#60;.001</td>
                <td colspan="2">1.283</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Beijing</td>
                <td>2.483</td>
                <td>&#60;.001</td>
                <td>3.943</td>
                <td>&#60;.001</td>
                <td>4.440</td>
                <td>&#60;.001</td>
                <td colspan="2">6.648</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chongqing</td>
                <td>0.576</td>
                <td>.01</td>
                <td>0.966</td>
                <td>.003</td>
                <td>1.141</td>
                <td>.009</td>
                <td colspan="2">5.586</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Fujian</td>
                <td>0.696</td>
                <td>&#60;.001</td>
                <td>1.093</td>
                <td>&#60;.001</td>
                <td>1.247</td>
                <td>&#60;.001</td>
                <td colspan="2">1.854</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Gansu</td>
                <td>0.419</td>
                <td>&#60;.001</td>
                <td>0.715</td>
                <td>&#60;.001</td>
                <td>0.831</td>
                <td>&#60;.001</td>
                <td colspan="2">1.373</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Guangdong</td>
                <td>0.823</td>
                <td>&#60;.001</td>
                <td>1.332</td>
                <td>&#60;.001</td>
                <td>1.667</td>
                <td>&#60;.001</td>
                <td colspan="2">2.312</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Guangxi</td>
                <td>0.340</td>
                <td>&#60;.001</td>
                <td>0.574</td>
                <td>&#60;.001</td>
                <td>0.676</td>
                <td>&#60;.001</td>
                <td colspan="2">1.014</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Guizhou</td>
                <td>0.270</td>
                <td>&#60;.001</td>
                <td>0.460</td>
                <td>&#60;.001</td>
                <td>0.627</td>
                <td>&#60;.001</td>
                <td colspan="2">1.508</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hainan</td>
                <td>0.601</td>
                <td>&#60;.001</td>
                <td>1.038</td>
                <td>&#60;.001</td>
                <td>1.307</td>
                <td>&#60;.001</td>
                <td colspan="2">2.225</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hebei</td>
                <td>0.586</td>
                <td>&#60;.001</td>
                <td>0.897</td>
                <td>&#60;.001</td>
                <td>0.983</td>
                <td>&#60;.001</td>
                <td colspan="2">1.525</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Heilongjiang</td>
                <td>0.515</td>
                <td>&#60;.001</td>
                <td>0.816</td>
                <td>&#60;.001</td>
                <td>0.958</td>
                <td>&#60;.001</td>
                <td colspan="2">1.474</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Henan</td>
                <td>0.471</td>
                <td>&#60;.001</td>
                <td>0.730</td>
                <td>&#60;.001</td>
                <td>0.815</td>
                <td>&#60;.001</td>
                <td colspan="2">1.176</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hubei</td>
                <td>0.509</td>
                <td>&#60;.001</td>
                <td>0.831</td>
                <td>&#60;.001</td>
                <td>0.952</td>
                <td>&#60;.001</td>
                <td colspan="2">1.565</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Hunan</td>
                <td>0.399</td>
                <td>&#60;.001</td>
                <td>0.650</td>
                <td>&#60;.001</td>
                <td>0.745</td>
                <td>&#60;.001</td>
                <td colspan="2">1.183</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Inner Mongolia</td>
                <td>0.495</td>
                <td>&#60;.001</td>
                <td>0.816</td>
                <td>&#60;.001</td>
                <td>0.945</td>
                <td>&#60;.001</td>
                <td colspan="2">1.419</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Jiangsu</td>
                <td>0.840</td>
                <td>&#60;.001</td>
                <td>1.334</td>
                <td>&#60;.001</td>
                <td>1.505</td>
                <td>&#60;.001</td>
                <td colspan="2">2.265</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Jiangxi</td>
                <td>0.460</td>
                <td>&#60;.001</td>
                <td>0.751</td>
                <td>&#60;.001</td>
                <td>0.899</td>
                <td>&#60;.001</td>
                <td colspan="2">1.407</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Jilin</td>
                <td>0.720</td>
                <td>&#60;.001</td>
                <td>1.115</td>
                <td>&#60;.001</td>
                <td>1.295</td>
                <td>&#60;.001</td>
                <td colspan="2">1.910</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Liaoning</td>
                <td>0.720</td>
                <td>&#60;.001</td>
                <td>1.118</td>
                <td>&#60;.001</td>
                <td>1.254</td>
                <td>&#60;.001</td>
                <td colspan="2">1.934</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Ningxia</td>
                <td>0.578</td>
                <td>&#60;.001</td>
                <td>0.917</td>
                <td>&#60;.001</td>
                <td>1.046</td>
                <td>&#60;.001</td>
                <td colspan="2">1.754</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Qinghai</td>
                <td>0.606</td>
                <td>&#60;.001</td>
                <td>0.967</td>
                <td>&#60;.001</td>
                <td>1.115</td>
                <td>&#60;.001</td>
                <td colspan="2">2.333</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Shaanxi</td>
                <td>0.584</td>
                <td>&#60;.001</td>
                <td>0.929</td>
                <td>&#60;.001</td>
                <td>1.053</td>
                <td>&#60;.001</td>
                <td colspan="2">1.760</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Shandong</td>
                <td>0.640</td>
                <td>&#60;.001</td>
                <td>1.023</td>
                <td>&#60;.001</td>
                <td>1.168</td>
                <td>&#60;.001</td>
                <td colspan="2">1.748</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Shanghai</td>
                <td>2.400</td>
                <td>&#60;.001</td>
                <td>3.931</td>
                <td>&#60;.001</td>
                <td>4.297</td>
                <td>&#60;.001</td>
                <td colspan="2">5.902</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Shanxi</td>
                <td>0.512</td>
                <td>&#60;.001</td>
                <td>0.824</td>
                <td>&#60;.001</td>
                <td>0.914</td>
                <td>&#60;.001</td>
                <td colspan="2">1.364</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Sichuan</td>
                <td>0.487</td>
                <td>.001</td>
                <td>0.819</td>
                <td>&#60;.001</td>
                <td>1.016</td>
                <td>&#60;.001</td>
                <td colspan="2">3.344</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Tianjin</td>
                <td>1.425</td>
                <td>&#60;.001</td>
                <td>2.302</td>
                <td>&#60;.001</td>
                <td>2.670</td>
                <td>&#60;.001</td>
                <td colspan="2">4.172</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Tibet</td>
                <td>0.366</td>
                <td>.002</td>
                <td>0.693</td>
                <td>&#60;.001</td>
                <td>0.937</td>
                <td>&#60;.001</td>
                <td colspan="2">2.591</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Xinjiang</td>
                <td>0.324</td>
                <td>&#60;.001</td>
                <td>0.565</td>
                <td>&#60;.001</td>
                <td>0.697</td>
                <td>&#60;.001</td>
                <td colspan="2">1.400</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Yunnan</td>
                <td>0.291</td>
                <td>&#60;.001</td>
                <td>0.503</td>
                <td>&#60;.001</td>
                <td>0.595</td>
                <td>&#60;.001</td>
                <td colspan="2">1.018</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Zhejiang</td>
                <td>0.841</td>
                <td>&#60;.001</td>
                <td>1.368</td>
                <td>&#60;.001</td>
                <td>1.566</td>
                <td>&#60;.001</td>
                <td colspan="2">2.380</td>
                <td>&#60;.001</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="figure3" position="float">
          <label>Figure 3</label>
          <caption>
            <p>Changes in online search activity after 4 cutoff time points in 31 provinces, municipalities, and autonomous regions of China from May 19 to September 19, 2022. (A) Change in online search activity after the first imported mpox case in Taiwan; (B) change in online search activity after the announcement of the public health emergency of international concern; (C) change in online search activity after the first imported mpox case in Hong Kong; (D) change in online search activity after the first imported mpox case in Chongqing. Lighter colors indicate greater changes.</p>
          </caption>
          <graphic xlink:href="formative_v7i1e44031_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p>Changes after the day of the first imported mpox in Chongqing were affected by the AIDS incidence per 100,000 people. When it increased by 1 per 100,000 people, changes increased by 36.22% (95% CI 3.29%-69.15%; <italic>P</italic>=.04) after controlling for other covariates.</p>
      </sec>
      <sec>
        <title>Economic Disparities in Online Search Activity and Changes in Activity</title>
        <p>The Lorenz curves for online search activity are shown in <xref rid="figure4" ref-type="fig">Figure 4</xref>. The curves (concentration index=0.177; <italic>P</italic>&#60;.001) lay below the equality line and had a positive value, indicating that economic-related disparities and inequality disadvantageous to the rich (ie, pro-poor) in online search activity were more concentrated among populations with a higher economic status. There was a significant difference between the western, eastern, and central areas (<italic>P</italic> for difference &#60;.001). Unlike for the central area, the eastern area (concentration index=0.234; <italic>P</italic>&#60;.001) and the western area (concentration index=0.047; <italic>P</italic>=.04) had significant economic-related disparities.</p>
        <fig id="figure4" position="float">
          <label>Figure 4</label>
          <caption>
            <p>Lorenz curves for online search activity related to mpox in China from May 19 to September 19, 2022. The black line represents the equality line; the concentration index was 0.177 (<italic>P</italic>&#60;.001). GDP: gross domestic product.</p>
          </caption>
          <graphic xlink:href="formative_v7i1e44031_fig4.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <p>The concentration index for changes in online search activity is shown in <xref rid="figure5" ref-type="fig">Figure 5</xref>. Changes in online search activity were also more concentrated among populations with a higher economic status. The overall concentration index for changes in online search activity became lower. The first 3 cutoff points had significant differences between the western, eastern, and central areas (all <italic>P</italic> for difference &#60;.05), except for the day of the first imported mpox case in Chongqing (<italic>P</italic>=0.083).</p>
        <fig id="figure5" position="float">
          <label>Figure 5</label>
          <caption>
            <p>The concentration index for changes in online search activity related to mpox in China from May 19 to September 19, 2022.*<italic>P</italic> for difference &#60;.01; **<italic>P</italic> for difference &#60;.001.</p>
          </caption>
          <graphic xlink:href="formative_v7i1e44031_fig5.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>To our knowledge, this is the first study to assess trends and influencing factors for online search activity related to mpox in China. Our study found that online search activity and changes in this activity were highest on the day of the first imported mpox case in Chongqing. The eastern area always had stronger changes than the central and western areas. Across 31 provinces, municipalities, and autonomous regions, the areas with the top 3 strongest changes were Beijing, Shanghai, and Tianjin, except for the day of the first imported mpox case in Chongqing, when Chongqing replaced Tianjin. Online search activity and changes in this activity were more concentrated among populations with a higher economic status, but the overall concentration index of changes in online search activity became lower over time. When AIDS incidence increased by 1 per 100, 000 people, the change after the day of the first imported mpox case in Chongqing increased by 36.22%.</p>
        <p>Clearly, compared with the day of the first imported case in Taiwan, the announcement of the PHEIC, and the first imported mpox case in Hong Kong, online search activity and changes in this activity were highest on the day of the first imported mpox case in Chongqing. There is no doubt that every emergency increases people’s interest in mpox. Geographical distance may influence people’s interest. Therefore, people may have increased searching for the latest knowledge to reduce their risk of infection when the first imported mpox case was identified in Chongqing compared to when the first cases were identified in Taiwan and Hong Kong. China is a country with a broad land area and more than 1.4 billion people, creating difficulties for the prevention and control of infectious diseases. In order to prepare for prevention and control work, China announced the Mpox Diagnosis and Treatment Guidelines (2022 Edition) on June 10, 2022 [<xref ref-type="bibr" rid="ref21">21</xref>], and the Frontier Health and Quarantine Law of the People’s Republic of China and other regulations on July 24, 2022 [<xref ref-type="bibr" rid="ref22">22</xref>]. Our findings provide additional evidence to inform prevention and control measures. If people lack knowledge on the transmission of the virus and prevention measures, they seek information more frequently; meanwhile, the possibilities of finding inaccurate information are higher [<xref ref-type="bibr" rid="ref23">23</xref>]. Therefore, interest in mpox reminds us that trusted sources should be developed to supplement access to reliable information in a timely manner.</p>
        <p>Furthermore, we found that online search activity and changes in this activity were more concentrated among populations with a higher economic status. Populations in provinces with a higher economic status may pay more attention to infectious diseases. However, the overall concentration index of changes in online search activity became lower over time. When the first imported case was identified in Chongqing, nearly all provinces focused on mpox; thus, health education and trusted sources of supplemental reliable information became more urgent over time all across China, not only in higher economic status regions, but also in low-income areas.</p>
        <p>Our study found that AIDS incidence was associated with changes in online search activity after the day of the first imported mpox case in Chongqing. When AIDS incidence increased by 1 per 100,000 people, online search activity increased by 36.22%. This finding indicates that at this moment, provinces with higher AIDS incidence have more interest in mpox. Due to the same population being at high risk for both mpox and AIDS—men who have sex with men (MSM)—the increase in online search activity was associated with higher AIDS incidence. Our study shows that strengthening health education for MSM in provinces with higher AIDS incidence is critical. COVID-19 and mpox have similar prodromes, including fever and sore throat, making correct online information and accurate public knowledge of mpox in China crucial [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref25">25</xref>].</p>
        <p>Some limitations of this study should be mentioned. Firstly, Baidu is not the only internet search engine, so online search activity in this study may have been underestimated. However, as Baidu is used by more than 75% of the Chinese population, and our study mainly compares regional and economic differences in online search activity in China, this limitation had little impact on our results. Secondly, data on internet attention related to mpox was unavailable before 2022, so we could not compare trends in 2022 with other years. Finally, due to privacy protection, we lack detailed data about the ages and occupations of the population under study, which might have limited the depth of our analysis.</p>
      </sec>
      <sec>
        <title>Conclusion</title>
        <p>Regions with a higher economic level showed more interest in mpox, especially Beijing and Shanghai. After the day of the first imported mpox case in Chongqing, changes in online search activity were affected by AIDS incidence, and economic-related disparities became lower over time. Constructing reliable information sources for higher-level economic regions and regions with a higher AIDS burden, as well as promoting public knowledge in lower-level economic regions, especially after important events that affect public opinion, is important in China.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">GDP</term>
          <def>
            <p>gross domestic product</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">ITS</term>
          <def>
            <p>interrupted time-series analysis</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">MSM</term>
          <def>
            <p>men who have sex with men</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">PHEIC</term>
          <def>
            <p>public health emergency of international concern</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">WHO</term>
          <def>
            <p>World Health Organization</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>This work was partly supported by the National Natural Science Foundation of China (grants 72122001, 71934002, and 72211540398).</p>
    </ack>
    <notes>
      <sec>
        <title>Data Availability</title>
        <p>The data sets analyzed during this study are available in the Baidu index [<xref ref-type="bibr" rid="ref16">16</xref>] and Our World in Data [<xref ref-type="bibr" rid="ref17">17</xref>].</p>
      </sec>
    </notes>
    <fn-group>
      <fn fn-type="con">
        <p>MD, ML, and JL conceptualized and designed the study and MD and WY acquired the data. MD curated the data and performed the formal analysis. MD performed the visualization and wrote the original draft. JL, LZ, WL, and ML contributed to writing, reviewing, and editing.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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