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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ResProt</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Res Protoc</journal-id>
      <journal-title>JMIR Research Protocols</journal-title>
      <issn pub-type="epub">1929-0748</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">v12i1e43243</article-id>
      <article-id pub-id-type="pmid">37097740</article-id>
      <article-id pub-id-type="doi">10.2196/43243</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Protocol</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Protocol</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Use of Spatial Analysis in Syphilis-Related Research: Protocol for a Scoping Review</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>Vo</surname>
            <given-names>Au</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Nasiri</surname>
            <given-names>Maryam</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes" equal-contrib="yes">
          <name name-style="western">
            <surname>Dantas</surname>
            <given-names>Janmilli da Costa</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Department of Nursing</institution>
            <institution>Faculty of Health Sciences of Trairi</institution>
            <institution>Federal University of Rio Grande do Norte</institution>
            <addr-line>Av Rio Branco</addr-line>
            <addr-line>S/N</addr-line>
            <addr-line>Santa Cruz, 59200-000</addr-line>
            <country>Brazil</country>
            <phone>55 84988958528</phone>
            <email>janmilli@yahoo.com.br</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-5429-6108</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Lopes</surname>
            <given-names>Rayssa Horacio</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-7041-4792</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Marinho</surname>
            <given-names>Cristiane da Silva Ramos</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-3825-3057</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Pinheiro</surname>
            <given-names>Yago Tavares</given-names>
          </name>
          <degrees>MSc</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-5882-4606</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Silva</surname>
            <given-names>Richardson Augusto Rosendo da</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6290-9365</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Nursing</institution>
        <institution>Faculty of Health Sciences of Trairi</institution>
        <institution>Federal University of Rio Grande do Norte</institution>
        <addr-line>Santa Cruz</addr-line>
        <country>Brazil</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>School Department of Health</institution>
        <institution>Federal University of Rio Grande do Norte</institution>
        <addr-line>Natal</addr-line>
        <country>Brazil</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Physiotherapy Department</institution>
        <institution>Santa Maria University Center</institution>
        <addr-line>Cajazeiras</addr-line>
        <country>Brazil</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Nursing</institution>
        <institution>Federal University of Rio Grande do Norte</institution>
        <addr-line>Natal</addr-line>
        <country>Brazil</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Janmilli da Costa Dantas <email>janmilli@yahoo.com.br</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2023</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>25</day>
        <month>4</month>
        <year>2023</year>
      </pub-date>
      <volume>12</volume>
      <elocation-id>e43243</elocation-id>
      <history>
        <date date-type="received">
          <day>13</day>
          <month>10</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>8</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd">
          <day>28</day>
          <month>12</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>11</day>
          <month>1</month>
          <year>2023</year>
        </date>
      </history>
      <copyright-statement>©Janmilli da Costa Dantas, Rayssa Horacio Lopes, Cristiane da Silva Ramos Marinho, Yago Tavares Pinheiro, Richardson Augusto Rosendo da Silva. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 25.04.2023.</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 Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://www.researchprotocols.org/2023/1/e43243" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Latin America, Africa, and Asia have high incidences of syphilis. New approaches are needed to understand and reduce disease transmissibility. In health care, spatial analysis is important to map diseases and understand their epidemiologic aspects.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>The proposed scoping review will identify and map the use of spatial analysis as a tool for syphilis-related research in health care.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>This protocol was based on the Joanna Briggs Institute manual, guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR). We will conduct searches in Embase; Lilacs, via the Virtual Health Library (Biblioteca Virtual en Salud; BVS), in Portuguese and English; Medline/PubMed; Web of Science; Cumulative Index to Nursing and Allied Health Literature (CINAHL); and Scopus. Gray literature will be searched for in Google Scholar, the Digital Library of Theses and Dissertations, the Catalog of Theses and Dissertations of the Coordination of Improvement of Higher Education Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; CAPES), Open Access Theses and Dissertations, ProQuest Dissertations and Theses Global, and the Networked Digital Library of Theses and Dissertations. The main research question is “How has spatial analysis been used in syphilis-related research in health care?” Studies are included if they have the full text available, address syphilis, and use geographic information systems software and spatial analysis techniques, regardless of sample characteristics or size. Studies published as research articles, theses, dissertations, and government documents will also be considered, with no location, time, or language restrictions. Data will be extracted using a spreadsheet adapted from the Joanna Briggs Institute. Quantitative and qualitative data will be analyzed using descriptive statistics and a thematic analysis, respectively.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>The results will be presented according to the PRISMA-ScR guidelines and will summarize the use of spatial analysis in syphilis-related research in health care in countries with different contexts, factors associated with spatial cluster formation, population health impacts, contributions to health systems, challenges, limitations, and possible research gaps. The results will guide future research and may be useful for health and safety professionals, managers, public policy makers, the general population, the academic community, and health professionals who work directly with people with syphilis. Data collection is projected to start in June 2023 and end in July 2023. Data analysis is scheduled to take place in August and September 2023. We expect to publish results in the final months of 2023.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>The review may reveal where syphilis incidence has the highest incidence, which countries most use spatial analysis to study syphilis, and whether spatial analysis is applicable to syphilis in each continent, thereby contributing to discussion and knowledge dissemination on the use of spatial analysis as a tool for syphilis-related research in health care.</p>
        </sec>
        <sec sec-type="trial registration">
          <title>Trial Registration</title>
          <p>Open Science Framework CNVXE; https://osf.io/cnvxe</p>
        </sec>
        <sec sec-type="registered-report">
          <title>International Registered Report Identifier (IRRID)</title>
          <p>PRR1-10.2196/43243</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>treponema pallidum</kwd>
        <kwd>syphilis</kwd>
        <kwd>infectious diseases</kwd>
        <kwd>spatial distribution</kwd>
        <kwd>systems of geographic information</kwd>
        <kwd>spatiotemporal analysis</kwd>
        <kwd>health care</kwd>
        <kwd>surveillance</kwd>
        <kwd>spatial analysis</kwd>
        <kwd>geographic information</kwd>
        <kwd>policy maker</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Spatial analyses are techniques performed on geographic data that describe an entire geographic region or a single point in space [<xref ref-type="bibr" rid="ref1">1</xref>] to measure, interpret, and explore characteristics and associations [<xref ref-type="bibr" rid="ref2">2</xref>]. These analyses are an important tool in health care for mapping diseases and understanding their epidemiology [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>].</p>
      <p>The evolution of computer science has improved and expanded software development, increasing the applicability and accessibility of spatial analysis [<xref ref-type="bibr" rid="ref2">2</xref>]. Visualizing geographic areas has enabled the mapping of disease distribution, risks and correlated factors, and the physical and human structures of health services. Spatial analysis is a useful tool to visualize areas with the greatest epidemiological pressure and infer associations between the studied phenomenon and sociopolitical and economic factors that contribute to it [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. Therefore, spatial analysis contributes to planning, implementing, and assessing global health policies [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>].</p>
      <p>In the context of health care, it is equally important to consider the location and characteristics of where people seek care. Thus, spatial epidemiology has evolved rapidly in recent years. Research has developed to include geocoding, distance estimation, residential mobility, record linking, data integration, spatial and spatiotemporal clustering, small area estimation, and Bayesian applications for disease mapping. Computer-based geographic information systems for integrating and analyzing geographic data are applicable in epidemiology, contributing, for example, to disease mapping, rate smoothing, cluster or hot spot analysis, and spatial modeling [<xref ref-type="bibr" rid="ref2">2</xref>].</p>
      <p>Documenting the role of the geographic environment where individuals live and interact (often called “activity spaces”) will improve our understanding of health outcomes. This is because the place where an individual lives or works can be considered as a potential determinant of disease; this has profound political implications for local health interventions and resource-allocation decisions and will ultimately lead to a reduction in health disparities [<xref ref-type="bibr" rid="ref2">2</xref>].</p>
      <p>Previous research has used spatial analysis to map disease distribution (eg, for multiple sclerosis [<xref ref-type="bibr" rid="ref7">7</xref>], HIV [<xref ref-type="bibr" rid="ref8">8</xref>], and COVID-19 [<xref ref-type="bibr" rid="ref9">9</xref>]), and spatial analysis could also guide health strategies against syphilis [<xref ref-type="bibr" rid="ref10">10</xref>], which has a high incidence and represents a problem for public health worldwide, especially in Latin America, Africa, and Asia [<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref12">12</xref>].</p>
      <p>Syphilis spreads via sexual or vertical transmission. It can be asymptomatic, can manifest as spots on hands and feet, and can affect the functioning of several organs (in the systemic phase). Gestational syphilis and congenital syphilis directly impact reproductive and child health. During pregnancy, syphilis may lead to abortion, stillbirth, premature birth, neonatal death, and early or late congenital manifestations [<xref ref-type="bibr" rid="ref13">13</xref>].</p>
      <p>A previous study used spatial analysis to assess the epidemiological status of congenital syphilis in Brazil and found that the most affected municipalities were those with a large migratory flow, those bordering other countries, and those with many tourists [<xref ref-type="bibr" rid="ref10">10</xref>]. Clusters of congenital syphilis were even identified in municipalities with prenatal care [<xref ref-type="bibr" rid="ref14">14</xref>].</p>
      <p>In China, researchers reported spatiotemporal changes in the incidence of syphilis; eastern coastal provinces showed a declining trend, whereas inland provinces showed an increasing trend, suggesting an association between epidemiological and economic issues [<xref ref-type="bibr" rid="ref15">15</xref>]. In Italy, a study pointed out that women diagnosed with syphilis were more likely to be non-Italian, while men were more likely to be Italian [<xref ref-type="bibr" rid="ref16">16</xref>]. Strategies to provide support services for accessing treatment have been implemented in Colombia for HIV and syphilis testing among Venezuelan migrants [<xref ref-type="bibr" rid="ref17">17</xref>]. In Africa, the implementation of self-tests for HIV and syphilis in men’s workplaces can be thought of as an approach to increase the availability of and access to tests among men and provide linkage to treatment and prevention services [<xref ref-type="bibr" rid="ref18">18</xref>].</p>
      <p>New strategies are needed to reduce syphilis transmission, such as spatial analysis, which has previously been applied in syphilis-related research [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref19">19</xref>]. However, due to a lack of studies, how and to what extent this tool is being used is unclear. A search was conducted in July 2022 of the Joanna Briggs Institute, Cochrane Library, Web of Science, PubMed, Prospero, and Open Science Framework databases. The search found no review studies or protocols that used spatial analysis in syphilis-related research, highlighting this knowledge gap.</p>
      <p>A scoping review identifying and globally mapping the application of spatial analysis in syphilis-related research would help researchers, managers, and health policy makers manage methodologies for disease control. Thus, this study describes a protocol for a scoping review to identify and map the use of spatial analysis in syphilis-related research in health care.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Overview</title>
        <p>This is a protocol for a scoping review to answer broad research questions based on defined selection criteria [<xref ref-type="bibr" rid="ref20">20</xref>]. We used the guidelines of the <italic>Joanna Briggs Institute Reviewer’s Manual</italic> [<xref ref-type="bibr" rid="ref20">20</xref>], based on the theoretical framework proposed by Arkey and O’Malley [<xref ref-type="bibr" rid="ref21">21</xref>], updated by Levac et al [<xref ref-type="bibr" rid="ref22">22</xref>], and guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) [<xref ref-type="bibr" rid="ref23">23</xref>].</p>
        <p>The stages of the scoping review include (1) definition and alignment of research objectives and questions; (2) development and alignment of inclusion criteria; (3) description of the search for evidence, selection and extraction of data, and presentation of evidence; (4) the search for evidence; (5) selection of evidence; (6) extraction of evidence; (7) analysis of evidence; (8) presentation of the results; and (9) a summary of the evidence, conclusions, and the implications of the findings [<xref ref-type="bibr" rid="ref20">20</xref>].</p>
      </sec>
      <sec>
        <title>Stage 1: Definition and Alignment of Research Objectives and Questions</title>
        <p>The mnemonic PCC (population, concept, context) underlay formulation of the research question. This model allows broadly mapping information to identify knowledge gaps, present key concepts, quantify aspects of interest, and expose practices and evidence of a particular theme [<xref ref-type="bibr" rid="ref20">20</xref>]. We defined the population as people diagnosed with syphilis, the concept as spatial analysis, and the context as health care. Thus, the research question is “How has spatial analysis been used in syphilis-related research in health care?”</p>
      </sec>
      <sec>
        <title>Stage 2: Development and Alignment of Inclusion Criteria According to Research Objectives and Questions</title>
        <p>Studies will be included if the full text is available, they address syphilis, and they use any geographic information systems software and spatial analysis technique. Studies will be included independently of sample characteristics and size. Studies published as research articles, theses, dissertations, and government documents will be considered with no location, time, or language restrictions. An external translator will be used when needed.</p>
        <p>Studies will be excluded if they are literature reviews, debates, documents, editorials, expert opinions, comments, opinion articles, or conference or poster abstracts. Studies that do not have syphilis as the primary outcome, have an insufficient methodological description, or do not answer the research question will also be excluded.</p>
      </sec>
      <sec>
        <title>Stage 3: Description of the Search for Evidence, Selection, Extraction of Data, and Presentation of Evidence</title>
        <p>The search strategy will be conducted in 3 steps to reach the largest number of publications possible.</p>
        <sec>
          <title>First Step: Identification of Descriptors and Keywords</title>
          <p>An exploratory search on PubMed and the Virtual Health Library (Biblioteca Virtual en Salud; BVS) was conducted to identify the main medical subject heading (MeSH) terms and health sciences descriptors (Descritores em Ciências da Saúde; DeCS) related to the topic. The search strategy was built using 4 controlled health vocabularies, including DeCS, MeSH, Emtree, and the Tesauro Cumulative Index to Nursing and Allied Health Literature (CINAHL), to identify relevant studies and expand the results in different databases.</p>
          <p>A search was conducted to identify synonyms and keywords. The search strategy was then expanded, checked, and improved by a librarian. Descriptors were combined with natural language [<xref ref-type="bibr" rid="ref24">24</xref>,<xref ref-type="bibr" rid="ref25">25</xref>] to increase sensitivity and expand the search results. The construction of the search strategy used the extraction, conversion, combination, construction, and use model [<xref ref-type="bibr" rid="ref24">24</xref>]. This model increases the sensitivity of the search strategy by following complementary steps. <xref ref-type="table" rid="table1">Table 1</xref> shows the conversion of mnemonic elements into the main keywords.</p>
          <p><xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref> shows the complete search strategy built for Medline/PubMed.</p>
          <table-wrap position="float" id="table1">
            <label>Table 1</label>
            <caption>
              <p>Definition of the PCC (population, concept, context) mnemonic elements.</p>
            </caption>
            <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
              <col width="170"/>
              <col width="250"/>
              <col width="580"/>
              <thead>
                <tr valign="top">
                  <td>Mnemonic elements</td>
                  <td>Definition</td>
                  <td>Keywords</td>
                </tr>
              </thead>
              <tbody>
                <tr valign="top">
                  <td>Population</td>
                  <td>People diagnosed with syphilis</td>
                  <td>Syphilis; treponema pallidum; treponema infections </td>
                </tr>
                <tr valign="top">
                  <td>Concept</td>
                  <td>Spatial analysis</td>
                  <td>Spatial analysis; geographic information system; geographic information systems; disease hotspot; spatiotemporal analysis; spatiotemporal analysis; geographic mapping</td>
                </tr>
                <tr valign="top">
                  <td>Context</td>
                  <td>Health care</td>
                  <td>Identification by document reading</td>
                </tr>
              </tbody>
            </table>
          </table-wrap>
        </sec>
        <sec>
          <title>Second Step: Database Definition for Data Collection</title>
          <p>After defining a search strategy with high sensitivity, data collection will be performed in the following databases: Embase, Lilacs (in Portuguese and English) via the BVS, Medline/PubMed, Web of Science, CINAHL, and Scopus.</p>
          <p>For a gray literature search, we will consult Google Scholar, the Digital Library of Theses and Dissertations, the Catalog of Theses and Dissertations from the Coordination of Improvement of Higher Education Personnel (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; CAPES), Open Access Theses and Dissertations, ProQuest Dissertations and Theses Global, and the Networked Digital Library of Theses and Dissertations.</p>
        </sec>
        <sec>
          <title>Third Step: Browse Additional Sources in Selected Publication References</title>
          <p>The reference lists of selected articles will be searched to track down eligible sources not retrieved with the search strategy. Authors of the included studies will be consulted by email for any additional information if needed.</p>
        </sec>
      </sec>
      <sec>
        <title>Stage 4: Search for Evidence</title>
        <p>The search strategy will be adapted to each database. The free version of Rayyan (Qatar Foundation) [<xref ref-type="bibr" rid="ref26">26</xref>] will be used for duplicate removal and study selection. Two reviewers (JdCD and YTP) will conduct a pilot test to reduce biases, standardize the selection process, and verify agreement with the study protocol. Each author will select 25 studies and read the titles and abstracts; the screening will follow the eligibility criteria. The team will then discuss any discrepancies and make necessary changes to the criteria and definitions. The screening will start only after 75% agreement is reached [<xref ref-type="bibr" rid="ref20">20</xref>].</p>
        <p>After the pilot test, 2 blind reviewers (JdCD and YTP) will use Rayyan [<xref ref-type="bibr" rid="ref26">26</xref>] to read the titles and abstracts of all identified studies, evaluating them according to the inclusion criteria. In cases of disagreement, a third reviewer (RARdS) will be consulted.</p>
      </sec>
      <sec>
        <title>Stage 5: Selection of Evidence</title>
        <p>After reading the full text, potentially eligible publications will be retrieved in full via their titles and abstracts and exported to a Microsoft Excel database (2020 version; Microsoft Corp). Full texts will be analyzed and reasons for exclusion will be recorded. Information regarding the selection of publications, eligibility criteria, and reasons for inclusion and exclusion will be reported in the PRISMA-ScR flowchart [<xref ref-type="bibr" rid="ref27">27</xref>].</p>
      </sec>
      <sec>
        <title>Stage 6: Extraction of Evidence</title>
        <p>Data will be extracted using a spreadsheet built in Microsoft Excel (<xref ref-type="table" rid="table2">Table 2</xref>). Two trained reviewers (JdCD and YTP) will extract the data.</p>
        <p>Two reviewers will map the application of spatial analysis in syphilis-related research using geographic data and by identifying where the study was performed. The map will be developed using a Google spreadsheet.</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Data extraction variables.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="420"/>
            <col width="580"/>
            <thead>
              <tr valign="top">
                <td>Variable</td>
                <td>Standardized method</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>First author and year of publication</td>
                <td>Identify the first author and year of publication of the study</td>
              </tr>
              <tr valign="top">
                <td>Objective</td>
                <td>Detail the study objective</td>
              </tr>
              <tr valign="top">
                <td>Study design</td>
                <td>Detail the study design described by the author or authors</td>
              </tr>
              <tr valign="top">
                <td>Data collection procedures</td>
                <td>List the data collection technique or techniques used</td>
              </tr>
              <tr valign="top">
                <td>Geographic extent</td>
                <td>Identify the city, state, region, or country where the study was conducted</td>
              </tr>
              <tr valign="top">
                <td>Syphilis, gestational syphilis, congenital syphilis</td>
                <td>Identify the classification of syphilis</td>
              </tr>
              <tr valign="top">
                <td>Period (in years) of the collected data</td>
                <td>Identify the period of data collection</td>
              </tr>
              <tr valign="top">
                <td>Visualization software</td>
                <td>Identify the geographic visualization software</td>
              </tr>
              <tr valign="top">
                <td>Spatial analysis method</td>
                <td>Describe the methodology developed in the spatial analysis</td>
              </tr>
              <tr valign="top">
                <td>Results</td>
                <td>Describe the main study results</td>
              </tr>
              <tr valign="top">
                <td>Challenges and limitations</td>
                <td>Describe the main study challenges and limitations mentioned by the authors related to using spatial analysis</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Stage 7: Analysis of Evidence</title>
        <p>Results will be interpreted qualitatively and quantitatively and presented using a PRISMA-ScR flowchart [<xref ref-type="bibr" rid="ref27">27</xref>]. SPSS (version 24.0; IBM Corp) will be used for statistical analysis. The quantitative analysis will use descriptive statistics with the absolute frequency and percentage. Thematic analysis will be used in the qualitative analysis due to its flexibility in identifying patterns in research questions [<xref ref-type="bibr" rid="ref28">28</xref>,<xref ref-type="bibr" rid="ref29">29</xref>]. A thematic analysis will categorize the application of spatial analysis in syphilis-related research in health care. The results will be discussed using the literature and research objectives and questions.</p>
      </sec>
      <sec>
        <title>Stage 8: Presentation of Results</title>
        <p>The final report guided by PRISMA-ScR will include the results in flowcharts, graphs, or figures [<xref ref-type="bibr" rid="ref23">23</xref>]. We will use images to help readers understand the results of the studies. As the theme of the presented protocol involves spatial analysis, it is very likely that some of the results will be shown in map images.</p>
      </sec>
      <sec>
        <title>Stage 9: Summary of Evidence, Conclusions, and Implications of Findings</title>
        <p>After carrying out the previous steps, we will prepare a summary of the results of the scoping review linked to the objective of the study. This way, the conclusion of the study will be grounded and presented effectively. We will highlight knowledge gaps that may arise in the development of the scoping review to provide direction for future studies.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>This protocol will guide a scoping review to identify and map the use of spatial analysis as a tool in syphilis-related research in health care. The results will be presented according to the PRISMA-ScR guidelines [<xref ref-type="bibr" rid="ref23">23</xref>] and summarized regarding (1) the use of spatial analysis in syphilis-related research in health care in countries with different contexts, (2) factors associated with the formation of spatial clusters, and (3) impacts on population health; contributions to health systems, challenges, limitations, and possible research gaps will also be summarized to guide future research. In addition, the results of this scoping review may be useful for public health and safety professionals, managers, public policy makers, the general population, the academic community, and health professionals who work directly with people with syphilis.</p>
      <p>This protocol will enable method replication following the principles of open science [<xref ref-type="bibr" rid="ref30">30</xref>], minimizing the risk of bias.</p>
      <p>Data collection is projected to start in June 2023 and end in July 2023. Data analysis is scheduled to take place in August and September 2023. We expect to publish the results of the scoping review in the final months of 2023.</p>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>This protocol will guide a scoping review to identify and map the use of spatial analysis as a tool in syphilis-related research in health care. Spatial analysis in health care research can identify the spatial distribution of high-incidence diseases, identify associations in their distribution with determining factors, and support direct health planning and actions [<xref ref-type="bibr" rid="ref31">31</xref>-<xref ref-type="bibr" rid="ref33">33</xref>].</p>
        <p>The United Nations proposed the elimination of congenital syphilis by 2030, reducing its incidence to 0.5 cases per 1000 live births [<xref ref-type="bibr" rid="ref34">34</xref>]. Strategies to prevent syphilis are a concern of authorities worldwide and are included in the sustainable development goals. Therefore, this review will help develop specific health strategies to control syphilis.</p>
        <p>The research team involved in this protocol has experience studying syphilis and spatial analysis and has knowledge and experience in scoping reviews. A librarian helped develop the high-sensitivity search strategy, which is based on a combination of 4 vocabularies and will expand the results and allow access to the literature; an especially important point is the lack of time and language restrictions.</p>
        <p>A test search with terms for epidemiology, treatment, prevalence, and incidence was performed in the thematic context group (on the use of spatial analysis in health care). However, the search had restricted results and directed the research question to a certain type of technique, creating bias. Thus, we left the “context” field empty and searched for all possibilities for using spatial analysis in health care.</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>The study limitations will include the lack of a search for institutional sites in all countries (ie, for gray literature at these sites), but this should not affect study development. We will select essential databases to minimize this limitation. The use of descriptors and search terms in only English and Portuguese may be another limitation of the study.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>This study protocol presents the main methodological steps that will guide the proposed scoping review and identify and map studies that use spatial analysis as a tool in syphilis-related research in health care. The review may reveal areas with the highest incidence of syphilis, identify which countries most use spatial analysis to study syphilis, and determine the applicability of the technique for syphilis research in each continent.</p>
        <p>The results will be published in open access and peer-reviewed journals, favoring the dissemination of knowledge in the scientific community.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Table S1. Complete strategy for searching Medline/Pubmed.</p>
        <media xlink:href="resprot_v12i1e43243_app1.docx" xlink:title="DOCX File , 14 KB"/>
      </supplementary-material>
    </app-group>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">BVS</term>
          <def>
            <p>Biblioteca Virtual en Salud</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">CAPES</term>
          <def>
            <p>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">CINAHL</term>
          <def>
            <p>Cumulative Index to Nursing and Allied Health Literature</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">DeCS</term>
          <def>
            <p>Descritores em Ciências da Saúde</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">JBI</term>
          <def>
            <p>Joanna Briggs Institute</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">PCC</term>
          <def>
            <p>population, concept, context</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">PRISMA-ScR</term>
          <def>
            <p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses: Extension for Scoping Reviews</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb9">PROSPERO</term>
          <def>
            <p>International Prospective Register of Systematic Reviews</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>All authors declared that they had insufficient or no funding to support open access publication of this manuscript, including from affiliated organizations or institutions, funding agencies, or other organizations. JMIR Publications provided article processing fee (APF) support for the publication of this article. Part of the APF was supported by the Sífilis Não program, a project by the Brazilian Ministry of Health in partnership with the Federal University of Rio Grande do Norte.</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
        <p>JdCD contributed to conception of the study; JdCD, RHL, and RARdS contributed to study methodology; JdCD, RHL, and RARdS contributed to data management; JdCD, RHL, YTP, and CdSRM contributed to formal analysis; RARdS contributed to administration and supervision; JdCD and RHL contributed to original writing; and JdCD, RHL, YTP, CdSRM, and RARdS contributed to writing, review, and editing of the manuscript. All authors read and agreed with the final version of the manuscript.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
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