<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Mhealth Uhealth</journal-id><journal-id journal-id-type="publisher-id">mhealth</journal-id><journal-id journal-id-type="index">13</journal-id><journal-title>JMIR mHealth and uHealth</journal-title><abbrev-journal-title>JMIR Mhealth Uhealth</abbrev-journal-title><issn pub-type="epub">2291-5222</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">v13i1e72009</article-id><article-id pub-id-type="doi">10.2196/72009</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Mobile Apps for HIV and Sexually Transmitted Infection Prevention in Canada, Mexico, and the United States: Environmental Scan</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Fern&#x00E1;ndez-S&#x00E1;nchez</surname><given-names>Higinio</given-names></name><degrees>PhD, RN</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Salazar-Alberto</surname><given-names>Javier</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Fern&#x00E1;ndez-Delgado</surname><given-names>Jhan Carlos Manuel</given-names></name><degrees>BSN</degrees><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Galvin</surname><given-names>Annalynn</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Mugavero</surname><given-names>Michael J</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff5">5</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Rodriguez-Diaz</surname><given-names>Carlos E</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff6">6</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Santa Maria</surname><given-names>Diane</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff4">4</xref></contrib></contrib-group><aff id="aff1"><institution>Cizik School of Nursing, The University of Texas Health Science Center Houston</institution><addr-line>6901 Bertner Avenue</addr-line><addr-line>Houston</addr-line><addr-line>TX</addr-line><country>United States</country></aff><aff id="aff2"><institution>National Institute of Public Health</institution><addr-line>Estado de Mexico</addr-line><country>Mexico</country></aff><aff id="aff3"><institution>National University of Cajamarca</institution><addr-line>Ja&#x00E9;n</addr-line><country>Peru</country></aff><aff id="aff4"><institution>The University of Texas Health Science Center Houston</institution><addr-line>Houston</addr-line><addr-line>TX</addr-line><country>United States</country></aff><aff id="aff5"><institution>University of Alabama at Birmingham</institution><addr-line>Birmingham</addr-line><addr-line>AL</addr-line><country>United States</country></aff><aff id="aff6"><institution>Boston University School of Public Health</institution><addr-line>Boston</addr-line><addr-line>MA</addr-line><country>United States</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Buis</surname><given-names>Lorraine</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Carrouel</surname><given-names>Florence</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Fiscella</surname><given-names>Kevin</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Higinio Fern&#x00E1;ndez-S&#x00E1;nchez, PhD, RN, Cizik School of Nursing, The University of Texas Health Science Center Houston, 6901 Bertner AvenueHouston, TX, 77030, United States, 7135009921; <email>higinio.fernandezsanchez@uth.tmc.edu</email></corresp></author-notes><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>14</day><month>11</month><year>2025</year></pub-date><volume>13</volume><elocation-id>e72009</elocation-id><history><date date-type="received"><day>31</day><month>01</month><year>2025</year></date><date date-type="rev-recd"><day>06</day><month>09</month><year>2025</year></date><date date-type="accepted"><day>20</day><month>10</month><year>2025</year></date></history><copyright-statement>&#x00A9; Higinio Fern&#x00E1;ndez-S&#x00E1;nchez, Javier Salazar-Alberto, Jhan Carlos Manuel Fern&#x00E1;ndez-Delgado, Annalynn Galvin, Michael J Mugavero, Carlos E Rodriguez-Diaz, Diane Santa Maria. Originally published in JMIR mHealth and uHealth (<ext-link ext-link-type="uri" xlink:href="https://mhealth.jmir.org">https://mhealth.jmir.org</ext-link>), 14.11.2025. </copyright-statement><copyright-year>2025</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 (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mHealth and uHealth, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://mhealth.jmir.org/">https://mhealth.jmir.org/</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://mhealth.jmir.org/2025/1/e72009"/><abstract><sec><title>Background</title><p>Canada, Mexico, and the United States are primary transit destinations for migrants in the Western Hemisphere. Migrants face barriers to accessing health services, including HIV and AIDS and sexually transmitted infection (STI) prevention. Mobile apps may enhance public health access for these populations.</p></sec><sec><title>Objective</title><p>This study aims to systematically identify and evaluate mobile apps supporting HIV and STI prevention in Canada, Mexico, and the United States.</p></sec><sec sec-type="methods"><title>Methods</title><p>An environmental scan of 357 mobile apps from the Google Play and Apple App stores was conducted on June 18, 2024, following the rigorous 6-step framework proposed by Fern&#x00E1;ndez-S&#x00E1;nchez to ensure a systematic and comprehensive evaluation of apps for HIV and STI prevention. Predefined inclusion and exclusion criteria were applied, resulting in 6 eligible apps. Each app was assessed using the 29-item Mobile App Rating Scale (MARS), scored on a 5-point Likert scale (1=inadequate, 5=excellent), and categorized as high (3), medium (2), or low (1) based on mean scores. Internal consistency was excellent (Cronbach &#x03B1;=0.90), and interrater reliability demonstrated near-perfect agreement (Cohen &#x03BA;=0.862). Data analyses were performed using SPSS (version 27; IBM Corp).</p></sec><sec sec-type="results"><title>Results</title><p>All 6 apps were available in Canada, Mexico, and the United States, with 33.3% (2/6) from Google Play, 16.7% (1/6) from Apple, and 50% (3/6) from both platforms. MARS evaluation revealed high quality ratings for engagement (83.0%), functionality (88.9%), aesthetics (83.3%), and information quality (100%), as well as high subjective quality (83.3%) and app-specific quality (88.9%). Life4Me+ was the highest-rated app (4.6), while HIV-TEST received the lowest rating (3.4). Most apps (5/6, 83.3%) were only available in English, and 16.7% (1/6) supported multiple languages, which may limit accessibility for non&#x2013;English-speaking migrant populations. In addition, 83.3% (5/6) were updated in 2024, 33.3% (2/6) were linked to nongovernmental organization, 16.7% (1/6) to a university, and 50% (3/6) had no clear affiliation. Regarding their focus, 50% (3/6) addressed STI prevention, diagnosis, and treatment, 16.7% (1/6) combined HIV and STI prevention, and 33.3% (2/6) provided pre-exposure prophylaxis&#x2013;related resources.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>These 6 apps stand out for their high functionality, engagement, and accessibility, establishing themselves as effective tools for HIV and STI prevention education among migrant populations. This study highlights the critical role of digital resources in addressing public health challenges faced by vulnerable and minority groups. Integrating these apps into health promotion strategies is essential to improve health literacy and encourage preventive behaviors. Moreover, ensuring the quality, credibility, linguistic diversity, and continuous updating of these digital interventions is crucial to achieving a real and sustained impact on public health. Policies should promote clear standards that guarantee accessibility, transparency, and accuracy, thereby facilitating access to health care services in complex migratory contexts.</p></sec></abstract><kwd-group><kwd>mobile health</kwd><kwd>mobile app</kwd><kwd>sexual health</kwd><kwd>HIV</kwd><kwd>MARS</kwd><kwd>Mobile App Rating Scale</kwd><kwd>STI</kwd><kwd>sexually transmitted infections</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><sec id="s1-1"><title>Background</title><p>Migration to North America is one of the most active migration routes globally [<xref ref-type="bibr" rid="ref1">1</xref>]. Latin America plays a central role in this dynamic, as Mexico is the largest source of migrants to the United States [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. Other Latin American nations also contribute to migration flows toward Canada, the United States, and Mexico, as these regions serve as key transit and destination points for diverse migrant populations. While the United States remains the primary destination owing to perceived economic and social opportunities [<xref ref-type="bibr" rid="ref4">4</xref>], increasingly restrictive immigration policies have led to heightened detentions and deportations. Canada has emerged as an alternative destination, but accessibility challenges and strict migration controls complicate pathways, compelling migrants to adapt their routes based on shifting opportunities and policy restrictions [<xref ref-type="bibr" rid="ref5">5</xref>].</p><p>This evolving migration landscape introduces critical public health challenges, as migrants face substantial barriers to accessing health care and are at increased risk for infectious diseases, including HIV and sexually transmitted infections (STIs) [<xref ref-type="bibr" rid="ref6">6</xref>]. Without adequate prevention and treatment, HIV progresses to AIDS, significantly impacting individual health, quality of life, and the capacity of health care systems in host countries [<xref ref-type="bibr" rid="ref7">7</xref>]. For migrants, vulnerabilities such as undocumented status, limited health care access, and cultural stigmas exacerbate their susceptibility to HIV and STIs and their negative outcomes [<xref ref-type="bibr" rid="ref8">8</xref>-<xref ref-type="bibr" rid="ref10">10</xref>].</p><p>The socioeconomic conditions of many migrants, characterized by poverty, instability, and precarious living arrangements, further heighten their exposure to risk factors, including sexual violence, human trafficking, and substance and alcohol use [<xref ref-type="bibr" rid="ref11">11</xref>-<xref ref-type="bibr" rid="ref13">13</xref>]. These vulnerabilities not only undermine individual health but also contribute to the transmission of HIV, with significant public health implications for both migrant communities and their host countries [<xref ref-type="bibr" rid="ref14">14</xref>,<xref ref-type="bibr" rid="ref15">15</xref>]. The compounded risks underscore the urgent need for effective HIV and STI prevention strategies that can reach these transient populations.</p><p>Innovations such as pre-exposure prophylaxis (PrEP), nonoccupational postexposure prophylaxis, postexposure prophylaxis, doxycycline postexposure prophylaxis, and self-testing kits have revolutionized HIV and STI prevention. However, migrants often encounter barriers that limit their access to these tools, including linguistic and cultural challenges [<xref ref-type="bibr" rid="ref16">16</xref>]. Mobile health (mHealth) apps have emerged as promising platforms to address these barriers, providing accessible, discreet, and culturally relevant health information [<xref ref-type="bibr" rid="ref17">17</xref>]. Evidence suggests that mHealth apps dedicated to prevention can enhance access to information, especially for minoritized populations such as migrants and others, racially and ethnically diverse groups, as found in recent randomized controlled trials of HIV prevention apps [<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref21">21</xref>]. These apps facilitate equitable health care access by offering content in native languages and by integrating functionalities such as testing reminders and treatment adherence tracking [<xref ref-type="bibr" rid="ref22">22</xref>].</p><p>Despite the potential of these apps, ensuring the quality and reliability of the information they provide remains challenging, particularly among migrant populations [<xref ref-type="bibr" rid="ref23">23</xref>]. Current app stores, such as Google Play and Apple App Store, host numerous health-related apps. Yet only some are designed to meet the specific needs of racially and ethnically diverse populations. For instance, a review of 55 HIV and STI prevention apps found that only 9 catered to racialized or ethnically diverse groups [<xref ref-type="bibr" rid="ref24">24</xref>]. This limited scope highlights the pressing need to evaluate app quality, participant acceptability, and language appropriateness to ensure these tools effectively support prevention efforts for marginalized groups.</p></sec><sec id="s1-2"><title>Objectives</title><p>To address this gap, this study used an environmental scan (E-scan) methodology to systematically identify and evaluate mobile apps supporting HIV and STI prevention in Canada, Mexico, and the United States. The E-scan methodology enables a comprehensive analysis of app features, accessibility, and information quality, offering a structured and innovative approach to app evaluation [<xref ref-type="bibr" rid="ref25">25</xref>]. Given the lack of regulation in health app content [<xref ref-type="bibr" rid="ref26">26</xref>], this study fills a critical void by evaluating the quality of digital resources tailored to migrant populations. Such research can help establish a foundation for leveraging mHealth tools to enhance HIV and STI prevention across North America, bridging the gap between technological innovation and public health needs. The objective of this study was to systematically identify and evaluate mobile apps that support HIV and STI prevention in Canada, Mexico, and the United States.</p></sec></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Design</title><p>We conducted an environmental scan (E-scan) following the 6 steps proposed by Fern&#x00E1;ndez-S&#x00E1;nchez et al [<xref ref-type="bibr" rid="ref25">25</xref>], to systematically identify, screen, and analyze mobile apps available for HIV and STI prevention as of June 18, 2024. This method was combined with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines to document the identification, screening, eligibility, and inclusion process through a standardized flow diagram.</p></sec><sec id="s2-2"><title>Step I: Research Questions</title><p>Our research focused on the following overarching question: What is the quality (ie, engagement, functionality, aesthetics, and information quality) of mobile apps designed for HIV and STI prevention in Canada, Mexico, and the United States? These criteria were selected based on the Mobile App Rating Scale (MARS) [<xref ref-type="bibr" rid="ref27">27</xref>]. In addition, the study addressed several sub-questions to provide a comprehensive evaluation of the mobile apps: (1) What is the quality of these apps according to user criteria (ie, app subjective quality)? (2) Do these apps allow for user input, feedback, and other prompts (ie, app interactivity)? and (3) How accurate is the HIV and STI prevention information on the app (ie, app-specific quality<italic>)</italic>? Other considerations included the number of languages each app supports, the countries where they are available, the target age range, and the year of their most recent update. Combined, these aspects provided a broader understanding of the apps&#x2019; usability, accessibility, and relevance to diverse user needs.</p></sec><sec id="s2-3"><title>Step II: Selection Criteria</title><p>To answer these research questions, we included mobile apps that were (1) related to HIV and STI prevention and (2) available in Canada, the United States, and Mexico. To broaden the scope of the search, we did not exclude apps-based release date, cost, number of downloads, or the digital medium. We excluded apps developed for health care professionals and not for a public audience.</p></sec><sec id="s2-4"><title>Step III: Search Strategy and Data Sources</title><p>We thoroughly searched the Google Play Store and Apple App Store by accessing the platforms in all 3 countries. The search process was developed following the PRISMA 2020 guidelines to ensure methodological rigor, transparency, and reproducibility to ensure organized selection and a clear summary of findings [<xref ref-type="bibr" rid="ref28">28</xref>]. Overall, 3 team members created accounts in the Google Play Store and Apple App Store in Canada, Mexico, and the United States. Apps were identified from May 23 to June 18, 2024, using mobile devices, computers, and iPads with Android and iOS operating systems. A manual search was also conducted on Google to identify potential complementary apps. Keywords in Spanish, English, and French were based on recommendations from similar articles and the authors&#x2019; experience. These keywords included: &#x201C;HIV,&#x201D; &#x201C;AIDS,&#x201D; &#x201C;PrEP,&#x201D; &#x201C;human immunodeficiency virus,&#x201D; &#x201C;acquired immunodeficiency syndrome,&#x201D; &#x201C;HIV prevention,&#x201D; &#x201C;AIDS prevention,&#x201D; &#x201C;HIV education,&#x201D; &#x201C;HIV/AIDS,&#x201D; &#x201C;HIV treatment,&#x201D; &#x201C;HIV app,&#x201D; &#x201C;HIV health,&#x201D; &#x201C;STIs,&#x201D; &#x201C;sexually transmitted infection,&#x201D; &#x201C;STI prevention,&#x201D; &#x201C;STI app,&#x201D; &#x201C;sexual health,&#x201D; &#x201C;STI education,&#x201D; and &#x201C;STI treatment.&#x201D; Boolean operators (AND, OR) were used to combine keywords and maximize search coverage effectively. The first 100 results of each keyword combination were reviewed, considering that limited time and few human resources were available.</p></sec><sec id="s2-5"><title>Step IV: Data Extraction</title><p>Data were extracted via Microsoft Excel. The research team designed an Excel table aligned with the purpose of this E-scan to collect relevant information about the apps, including the app name, developer contact information, digital store type, rating, number of downloads, dates of release and last update, version, cost, focus and brief description, theoretical background or strategies, affiliation, target age group, and technical aspects. Data extraction was independently performed by 2 reviewers from the team (JS-A and JCMF-D). Discrepancies were resolved by consensus, and a third reviewer, the principal investigator, validated the data.</p></sec><sec id="s2-6"><title>Step V: Quality Assessment</title><p>The selected apps underwent a quality assessment using the MARS, developed by Stoyanov et al [<xref ref-type="bibr" rid="ref29">29</xref>]. The MARS is a multidimensional, reliable, and customizable app quality assessment tool, suitable for health researchers. A team of 3 researchers with quantitative experience consulted articles on the use of the MARS, which are fundamental for avoiding deviations in the quantitative research process [<xref ref-type="bibr" rid="ref30">30</xref>]. The test-completion procedures were carried out with the principal investigator to gain an initial understanding of the MARS evaluation instrument. During the anchoring process, the use of basic concepts for completing the instrument was standardized to ensure clarity and effectiveness in data collection [<xref ref-type="bibr" rid="ref31">31</xref>]. Subsequently, the apps were divided for peer evaluation, and once 2 evaluations were obtained, averages were calculated for use. The scale demonstrated high internal consistency, with a Cronbach &#x03B1; coefficient of 0.90. In addition, the subscales (app quality rating, app subjective quality, and app-specific quality) showed strong internal consistency, with a mean coefficient of 0.85 [<xref ref-type="bibr" rid="ref29">29</xref>].</p><p>The MARS uses 3 categories to evaluate several aspects of mobile app quality. The first category, &#x201C;app quality rating,&#x201D; is assessed across 4 dimensions [<xref ref-type="bibr" rid="ref27">27</xref>]: engagement (5 items: fun, interest, individual adaptability, interactivity, and target group), functionality (4 items: performance, usability, navigation, and gestural design), aesthetics (3 items: layout, graphics, and visual appeal), and information quality (7 items: accuracy of app description, goals, quality of information, quantity of information, quality of visual information, credibility, and evidence base). The second category, app subjective quality, comprises 4 questions (ie, &#x201C;What is your overall star rating of the app?&#x201D;). The third category, app-specific quality, comprises 6 questions (ie, &#x201C;Is app content correct, well-written, and relevant to the goal/topic of the app?&#x201D;)<italic>.</italic> All items were rated on a 5-point scale<italic>,</italic> where 1 indicates &#x201C;inadequate,&#x201D; 2 indicates &#x201C;poor,&#x201D; 3 indicates &#x201C;acceptable,&#x201D; 4 indicates &#x201C;good,&#x201D; and 5 indicates &#x201C;excellent.&#x201D; Thus, the scale contained 29 items that enabled a comprehensive and accurate assessment of mobile app quality.</p><p>For scoring, points were summed for each subscale, and tertile categories (low, medium, and high) were constructed in Microsoft Excel, considering the minimum and maximum scores possible and their ranges. This allowed for precise categorization of quality levels. For the first category, app quality rating, in the engagement subscale, 3 levels were defined: low (5 to 11 points), medium (12 to 18 points), and high (19 to 25 points). For functionality, the levels were: low (4 to 9 points), medium (10 to 14 points), and high (15 to 20 points). In terms of aesthetics, levels were classified as low (3 to 7 points), medium (8 to 11 points), and high (12 to 15 points). Finally, for information, the levels were: low (7 to 16 points), medium (17 to 25 points), and high (26 to 35 points). The second category, app subjective quality, had the following levels: low (4 to 9 points), medium (10 to 14 points), and high (15 to 20 points). Finally, in the third category, app-specific quality, levels were defined as low (6 to 14 points), medium (15 to 22 points), and high (23 to 30 points).</p></sec><sec id="s2-7"><title>Step VI: Analysis and Synthesis</title><p>Based on the mean obtained by the app evaluators, values per level were assigned for each app as evaluation categories. These values were coded on a scale of 1 to 3, where high corresponds to 3 points, medium to 2 points, and low to 1 point. Percentages were established based on the criteria and evaluated apps. Two reviewers (JS-A and JCMF-D) independently conducted the assessment, resolving discrepancies by consensus. Results were processed using SPSS v27, and Cohen &#x03BA; was used to measure inter-rater agreement [<xref ref-type="bibr" rid="ref32">32</xref>]. The calculated Cohen &#x03BA; coefficient was 0.862, indicating near-perfect agreement between the evaluators. Descriptive statistics, frequencies, and percentages were used for data analysis. The MARS results are presented through stacked bar graphs and box plots. Directed content analysis was applied to narrative information, identifying patterns related to HIV and STI prevention methods. This methodology ensures a comprehensive and accurate evaluation of mobile apps for HIV and STI prevention, providing a solid foundation for future research and public health practice.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>General Characteristics of the Final Apps</title><p><xref ref-type="fig" rid="figure1">Figure 1</xref> shows the PRISMA flowchart. The search identified a total of 357 apps, of which 186 were from the Apple App Store and 171 from the Google Play Store. The distribution by country was as follows: an average of 78 were available in Canada, 148 in the United States, and 131 in Mexico (overall mean 119, SD 36.52). The detailed organization of the apps facilitated selection by country, with independent review by JSA, JCMFD, and the principal investigator. As a result, 351 screened apps were eliminated, leaving 6 apps included in this review: &#x201C;End HIV,&#x201D; &#x201C;Life4Me+,&#x201D; &#x201C;Sexual Disease and Infections,&#x201D; &#x201C;Preppy: PrEP, Sex &#x0026; Health,&#x201D; &#x201C;HIV-TEST,&#x201D; and &#x201C;Your Prep App.&#x201D;</p><p>All 6 identified mobile apps were available on either the Apple App Store (1/6, 16.7%), Google Play Store (2/6, 33.3%), or both platforms (3/6, 50%). Overall, 5 of the 6 apps (5/6, 83.3%) were available exclusively in English, while 1 app (1/6, 16.7%) supported 25 languages, including Spanish (Life4Me+). Most of the apps (5/6, 83.3%) had been updated in 2024, with the remaining 1 app (1/6, 16.7%) last updated in 2023. Two apps (2/6, 33.3%) were linked to nongovernmental organizations, 1 app (1/6, 16.7%) was linked to a university, and 3 apps (3/6, 50%) had no clearly identified affiliations. Most apps (5/6, 83.3%) were designed for individuals 17 years and older, while 1 app (1/6, 16.7%) was reported to be suitable for users 12 years and older (End HIV). The apps shared common objectives, including promoting PrEP, facilitating HIV testing, providing HIV risk assessment tools, and supporting HIV/STI treatment. Their specific focuses on HIV and STI prevention and care were categorized as follows: ( 1) prevention, diagnosis, and treatment of STIs (3/6, 50%); (2) combined HIV and STI prevention (1/6, 16.7%); and (3) PrEP-related resources (2/6, 33.3%) (<xref ref-type="table" rid="table1">Table 1</xref>).</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram for included apps. E-scan: environmental scan; STI: sexually transmitted infection.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v13i1e72009_fig01.png"/></fig><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Characteristics of HIV and sexually transmitted infection (STI) prevention mobile apps in Canada, Mexico, and the United States.</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">App number and name</td><td align="left" valign="bottom">Platform (Android and iOS), languages, privacy, customization, and connectivity.</td><td align="left" valign="bottom">Developer</td><td align="left" valign="bottom">Goals</td><td align="left" valign="bottom">Approach</td><td align="left" valign="bottom">Year of update</td><td align="left" valign="bottom">Tested app version</td><td align="left" valign="bottom">Mean User Star Rating<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="bottom">MARS<sup><xref ref-type="table-fn" rid="table1fn2">b</xref></sup> app quality rating score, mean (SD)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="bottom">MARS app subjective quality score, mean (SD)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td><td align="left" valign="bottom">MARS app-specific quality, mean (SD)<sup><xref ref-type="table-fn" rid="table1fn1">a</xref></sup></td></tr></thead><tbody><tr><td align="left" valign="top">End HIV</td><td align="left" valign="top">Both, English, does not share data, and it is personalized, free.</td><td align="left" valign="top">University of Mississippi Medical Center</td><td align="left" valign="top">Inform about HIV prevention, testing, PrEP<sup><xref ref-type="table-fn" rid="table1fn3">c</xref></sup>, and health care</td><td align="left" valign="top">HIV prevention, diagnosis, and treatment</td><td align="left" valign="top">2024</td><td align="left" valign="top">2.1.0</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table1fn4">d</xref></sup></td><td align="left" valign="top">4.55 (0.11)</td><td align="left" valign="top">3.9 (0.40)</td><td align="left" valign="top">4.5 (0.17)</td></tr><tr><td align="left" valign="top">Life4Me+</td><td align="left" valign="top">Both, English, Spanish, and 16 languages, does not share data, and is personalized, free.</td><td align="left" valign="top">Life4me.plus fight to AIDS, Hepatitis C, and Tuberculosis</td><td align="left" valign="top">Prevents HIV, or people already living with it, as well as other STIs</td><td align="left" valign="top">HIV prevention, STI prevention</td><td align="left" valign="top">2024</td><td align="left" valign="top">2.0.40</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">4.68 (0.13)</td><td align="left" valign="top">4.5 (0.10)</td><td align="left" valign="top">4.4 (0.22)</td></tr><tr><td align="left" valign="top">Sexual Disease and Infections</td><td align="left" valign="top">Android, English, does not share data, and is personalized, free.</td><td align="left" valign="top">Encoded Knowledge Ltd. Silversky Technology</td><td align="left" valign="top">Provide information about STDs<sup><xref ref-type="table-fn" rid="table1fn5">e</xref></sup>, including symptoms, treatments, and prevention</td><td align="left" valign="top">STI prevention, diagnosis, and treatment</td><td align="left" valign="top">2024</td><td align="left" valign="top">1.25</td><td align="left" valign="top">5</td><td align="left" valign="top">4.6 (0.22)</td><td align="left" valign="top">3.5 (0.25)</td><td align="left" valign="top">3.3 (0.34)</td></tr><tr><td align="left" valign="top">Preppy: PrEP, Sex &#x0026; Health</td><td align="left" valign="top">Both, English, does not share data, and is personalized free.</td><td align="left" valign="top">Prepsafe Global</td><td align="left" valign="top">Helps users manage PrEP, their sexual health, and well-being</td><td align="left" valign="top">Pre-exposure prevention</td><td align="left" valign="top">2024</td><td align="left" valign="top">1.2.3</td><td align="left" valign="top">4.6</td><td align="left" valign="top">4.57 (0.13)</td><td align="left" valign="top">4.1 (0.17)</td><td align="left" valign="top">4.5 (0.16)</td></tr><tr><td align="left" valign="top">HIV-TEST</td><td align="left" valign="top">Android, English, does not share data, and is personalized free.</td><td align="left" valign="top">Merezha</td><td align="left" valign="top">Provide a risk measurement tool that estimates the probability of HIV infection</td><td align="left" valign="top">HIV prevention</td><td align="left" valign="top">2024</td><td align="left" valign="top">2.3.1</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">4.18 (0.14)</td><td align="left" valign="top">3.1 (0.38)</td><td align="left" valign="top">4.3 (0.21)</td></tr><tr><td align="left" valign="top">YourPrEP App</td><td align="left" valign="top">Android, English, does not share data, and is personalized, free.</td><td align="left" valign="top">GGD Amsterdam</td><td align="left" valign="top">Inform about the use of PrEP</td><td align="left" valign="top">Pre-exposure prevention</td><td align="left" valign="top">2023</td><td align="left" valign="top">1.0.3.51</td><td align="left" valign="top">&#x2014;</td><td align="left" valign="top">4.47 (0.10)</td><td align="left" valign="top">3.1 (0.32)</td><td align="left" valign="top">4.3 (0.17)</td></tr></tbody></table><table-wrap-foot><fn id="table1fn1"><p><sup>a</sup>Overall mean values are 4.8 (SD 0.28) for Mean User Star Rating, 4.5 (SD 0.17) for Mobile App Rating Scale (MARS) app quality score, 3.7 (SD 0.56) for MARS app subjective quality score, and 4.4 (SD 0.08) for app-specific quality.</p></fn><fn id="table1fn2"><p><sup>b</sup>MARS: Mobile App Rating Scale.</p></fn><fn id="table1fn3"><p><sup>c</sup>PrEP: pre-exposure prophylaxis.</p></fn><fn id="table1fn4"><p><sup>d</sup>Not available.</p></fn><fn id="table1fn5"><p><sup>e</sup>STD: sexually transmitted disease.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s3-2"><title>Overall App Quality Assessment With MARS</title><p>The overall app quality assessment using the MARS framework revealed positive results across all 4 dimensions. Engagement had a mean score of 3.95 of 5 (SD 0.91), with apps achieving high ratings of 83.0%. Functionality demonstrated a mean of 4.32 (SD 0.63), with apps scoring highly (88.9%). Aesthetics achieved a mean score of 4.20, with apps receiving high ratings of 83.3%. The information dimension had the highest mean score of 4.48 (SD 0.45), with the apps scoring highly (100%). Among the 6 highest-rated apps, Preppy: PrEP, Sex &#x0026; Health scored highest in engagement (4.8/5), End HIV excelled in functionality (4.9/5), Sexual Disease and Infections led in aesthetics (4.9/5), and the YourPrEP app received a perfect score in the information dimension (5/5) (<xref ref-type="fig" rid="figure2">Figure 2</xref>).</p><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>Mobile App Rating Scale (MARS) scores by dimensions.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v13i1e72009_fig02.png"/></fig><p>The subjective quality of the apps also yielded favorable results, with a mean score of 3.70 (SD 0.52) and the apps receiving high ratings of 83.3%. The highest subjective quality score was recorded for Life4Me+ (4.5/5), while the lowest ratings were observed for HIV-TEST and the YourPrEP app, both scoring 3.1/5. Similarly, the app-specific quality assessment revealed a mean score of 4.22 (SD 0.42), with apps achieving high ratings of 88.9%. The highest scores in this category were shared by Preppy: PrEP, Sex &#x0026; Health, and End HIV, both averaging 4.5/5, while Sexual Disease and Infections received the lowest score (3.3/5). Overall, the results highlight the strong performance of these apps across multiple quality dimensions, underscoring their potential use in addressing HIV prevention and care (<xref ref-type="fig" rid="figure3">Figure 3</xref>).</p><fig position="float" id="figure3"><label>Figure 3.</label><caption><p>Cumulative score of each app&#x2019;s Mobile App Rating Scale (MARS) subdomains.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="mhealth_v13i1e72009_fig03.png"/></fig></sec><sec id="s3-3"><title>Barriers and Facilitators</title><p>The following are the main barriers and facilitators identified and also the strengths and weaknesses found for each app were addressed (see<xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref> and Garcia et al [<xref ref-type="bibr" rid="ref33">33</xref>]). The relevant aspects of barriers and facilitators were grouped into three sections that are (1) technological, (2) social and psychological, and (3) governance; further details about these barriers are listed below.</p><sec id="s3-3-1"><title>Technological</title><sec id="s3-3-1-1"><title>Technical</title><p>Facilitating features included aspects such as the type of operating system and the speed of downloads. The diversity of mobile devices, browsers, and assistive technologies was noted, following platform accessibility guidelines with which the apps are compatible. The apps generally used good visual or auditory design.</p></sec><sec id="s3-3-1-2"><title>Content-Related</title><p>Facilitating features included the year of creation and update, availability of languages, free access in most cases, and continuous online availability. They used simple language, clear information, and appropriate hierarchy in information distribution, since without these aspects, legibility, comprehension, and usability could be compromised. In this study, all the apps addressed topics related to HIV and STIs to a greater or lesser degree. On the other hand, barriers included some apps requiring user registration for access, though this was less common. A lack of or inconsistency in app metadata (downloads and ratings) was also observed, which may lead to data loss and variation in the classification of information during analysis. Among the studied apps that mentioned HIV and STI detection and treatment, all emphasized that their use does not substitute for physical testing, treatment, or medical consultations, recognizing that use is the responsibility of the user [<xref ref-type="bibr" rid="ref34">34</xref>]. In addition, there was very little mention of migrant populations, as the apps primarily targeted men who have sex with men [<xref ref-type="bibr" rid="ref35">35</xref>].</p></sec></sec></sec><sec id="s3-4"><title>Social and Psychological</title><sec id="s3-4-1"><title>Age</title><p>This was generally a facilitator, as the apps were understandable for almost all audiences. Most were identified as suitable for users older than 10 years. <italic>Economic:</italic> Mobile phones can serve as facilitators since they are relatively accessible and portable when small. However, they can become barriers if users cannot afford a smartphone, or if the device is larger (such as an iPad, tablet, or laptop), making transport more difficult.</p></sec><sec id="s3-4-2"><title>Cultural Sensitivity (Stigma)</title><p>Facilitating aspects included awareness and respect for diversity, culture, values, beliefs, and personal preferences. Most apps did not request personal information beyond an email account, alias, and confirmation of age. Generally, if personal information was requested, a privacy notice was provided. In this study, people living with HIV were not involved in the app evaluations.</p></sec><sec id="s3-4-3"><title>Cognitive Characteristics (Ease of Use, Usefulness, Satisfaction, Digital Literacy, Online Participation, and Trust in the Internet)</title><p>Facilitating aspects included ease of use. Usefulness and satisfaction were supported by positive user comments, which could serve as suggestions for improvement. Digital literacy was observed through the rapid learning curve when using the apps. Online participation was reflected in the number of stars and downloads, indicating that apps had been marked as highlighted or favorites. However, a main barrier was trust in internet access: without internet connectivity, users cannot download or use the app [<xref ref-type="bibr" rid="ref36">36</xref>].</p></sec></sec><sec id="s3-5"><title>Governance (Legal compliance)</title><p>As a facilitating feature, most apps had country-specific but legal permissions. However, this aspect varied, and consultation with legal experts was deemed essential to avoid lawsuits, fines, or damages.</p></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>Digital interventions offer an inclusive, adaptable, and confidential approach to prevention, contrasting with traditional in-person interventions that are often inaccessible, fear-based, and ineffective for populations made vulnerable [<xref ref-type="bibr" rid="ref37">37</xref>]. This study focused on mobile apps related to HIV and STI prevention across Canada, Mexico, and the United States. Using the E-Scan methodology, recognized for its reliability in selecting mobile apps [<xref ref-type="bibr" rid="ref25">25</xref>], the study used the MARS tool to evaluate 6 apps. These apps were assessed based on quality ratings (engagement, functionality, information, and aesthetics), app subjective quality, and app-specific criteria.</p><p>All the apps included in this study shared common goals related to HIV and STI prevention. This availability of the service, but at the same time, the limited access for the migrant population underscores a gap in addressing public health issues such as HIV and STI prevention, particularly among vulnerable populations [<xref ref-type="bibr" rid="ref38">38</xref>,<xref ref-type="bibr" rid="ref39">39</xref>]. High information and functionality scores reflect intuitive and practical interactions that encourage adoption [<xref ref-type="bibr" rid="ref29">29</xref>]. However, differences in app quality, such as low interactivity, can impede user engagement and learning [<xref ref-type="bibr" rid="ref40">40</xref>]. This study revealed high scores for information, with slightly lower engagement scores, highlighting areas for improvement to enhance user satisfaction. Appealing aesthetics further help sustain user attention [<xref ref-type="bibr" rid="ref41">41</xref>], who noted that app quality significantly influences user trust and decision-making. Despite the proliferation of health apps, concerns remain about the reliability of information for nonprofessional users [<xref ref-type="bibr" rid="ref42">42</xref>]. Users often face an overwhelming number of options without clear quality indicators owing to a scarcity of scientifically validated evidence underpinning health app content [<xref ref-type="bibr" rid="ref43">43</xref>]. Evidence-based apps supporting HIV and STI prevention among minoritized populations, including migrants, show promise [<xref ref-type="bibr" rid="ref44">44</xref>-<xref ref-type="bibr" rid="ref46">46</xref>] but must overcome structural barriers and implementation costs to increase their reach. Ensuring updated, relevant, and reliable content is critical to maintaining credibility, while subjective and specific quality criteria ensure personalized and trustworthy user experiences.</p><p>Understanding user engagement and app scalability is crucial for addressing health access barriers. While most apps in this study were accessible in English, fewer supported other languages. Language availability is essential for reducing barriers to HIV care and prevention [<xref ref-type="bibr" rid="ref47">47</xref>,<xref ref-type="bibr" rid="ref48">48</xref>]. Language-specific studies revealed a lack of interventions tailored for Spanish-speaking Latino individuals, adolescents, and men who have sex with men [<xref ref-type="bibr" rid="ref49">49</xref>]. Accurate translation of HIV and STI information was inconsistently noted in app descriptions, emphasizing the need for linguistic rigor. These findings highlight the importance of leveraging MARS ratings to guide future app development and improvements in accessibility, reach, acceptability, and effectiveness.</p></sec><sec id="s4-2"><title>Implications for Practice, Research, and Policy</title><p>The findings from the E-Scan and MARS evaluation have critical implications for practice, research, and policy. Practitioners and public health organizations should integrate mobile apps into comprehensive health promotion strategies, particularly for populations made vulnerable, such as migrants. High engagement, functionality, and information quality make these apps valuable tools for enhancing health literacy and promoting preventive behaviors, though addressing aesthetic and subjective quality concerns is necessary to improve user experience and sustain engagement.</p><p>Regarding usefulness, given the increasing use of mHealth apps alongside the growth of social networks, smartphones, and advancing technology, these tools should be leveraged and translated into activities focused on HIV and STI prevention, detection, and medical care among migrant and undocumented populations. For example, among young men, several factors are associated with increased risk of infection, such as risky sexual behaviors through dating apps, a history of sexually transmitted infections, sexualized drug use, and pornography consumption, among others [<xref ref-type="bibr" rid="ref50">50</xref>-<xref ref-type="bibr" rid="ref52">52</xref>]. These actions can be implemented across multiple settings, since this population is immersed in diverse environments: educational centers (schools and universities), workplaces, government centers (migrant detention centers, immigration embassies, and legal agencies), community centers (shelters, civil society organizations, and faith-based organizations), cultural spaces, and commercial venues, among the most relevant [<xref ref-type="bibr" rid="ref53">53</xref>]. Efforts should include the distribution and dissemination of flyers, brochures, posters, and wall newspapers, as well as incorporation into pedagogical activities, nursing talks, and health promotion sessions, with explicit mention of the existence of these apps. Strategies from mass media (eg, television, radio, social networks such as Facebook [Meta], Twitter [Meta], and Instagram [Meta]) can also be leveraged.</p><p>Undocumented migrant populations are also served in health care institutions, where strategies can be developed across the 3 levels of health care. At the first level of care, with a community-based focus, activities may include communication, health promotion, prevention, and early detection of HIV and STIs, including dissemination of information about the existence of apps [<xref ref-type="bibr" rid="ref54">54</xref>]. At the second and third levels of care, which are more focused on treatment and referral of newly diagnosed individuals to other services, these activities can be incorporated into health programs and projects (eg, best practices or evidence-based practices). Information about HIV and STI-related apps can also be included on hospital websites and in prevention campaigns delivered by nurses, physicians, social workers, psychologists, and health educators. Finally, at tertiary-level or specialty hospitals that function as research centers, the topic of HIV and apps can be formally integrated into clinical and educational initiatives.</p><p>This article underscores the need for ongoing evaluation of digital health tools using frameworks such as MARS to assess their real-world effectiveness. Future studies should refine evaluation tools and methodologies such as the E-Scan to incorporate diverse user experiences and cultural contexts, ensuring broader accessibility and relevance. Ensuring apps adhere to evidence-based practices and remain updated with reliable information is crucial for advancing digital health interventions. Policymakers should prioritize developing guidelines and standards to ensure health apps meet high-quality criteria, focusing on transparency, accuracy, and accessibility [<xref ref-type="bibr" rid="ref55">55</xref>,<xref ref-type="bibr" rid="ref56">56</xref>]. Given the increasing barriers to accessing health care, apps with accurate and reliable information can support migrant populations navigating changing political landscapes in search of health care services.</p><p>Changes in the political climate in the United States and globally have increased fear among immigrants, leading to missed appointments and relocations [<xref ref-type="bibr" rid="ref57">57</xref>]. State and local policies across sectors such as labor, health, and education influence HIV vulnerability among Latino migrants by shaping access to institutions [<xref ref-type="bibr" rid="ref58">58</xref>]. For example, state-level legislation that requires hospitals to collect immigration status may lead to less health care use, as such measures can deter undocumented or mixed-status families from seeking care due to fears of disclosure, discrimination, or legal repercussions. This reduced engagement with health care services can delay HIV testing, prevention, and treatment, thereby increasing vulnerability within migrant communities [<xref ref-type="bibr" rid="ref59">59</xref>]. Moreover, immigration policies are impacted by partisan polarization and right-wing populism, aspects in which progress is not achieved, such as full access to health care for migrants, the availability of international medical graduates, which are essential for primary care in underserved areas, among other aspects [<xref ref-type="bibr" rid="ref60">60</xref>]. Language policies addressing social inclusion for migrants are critical to reducing inequality and ensuring access to public services [<xref ref-type="bibr" rid="ref61">61</xref>].</p></sec><sec id="s4-3"><title>Strengths and Limitations</title><p>This study systematically evaluated mHealth apps across 3 countries, key destinations for migrants, leveraging the bilingual expertise of its researchers in Spanish and English. The use of 3 reviewers per app and Cohen &#x03BA; calculations ensured accuracy and consistency. However, limitations include the rapid evolution of health apps, potentially excluding newer options, and challenges in evaluating instruments in languages not native to the researchers. The study also did not incorporate direct user feedback or usability testing, which could provide critical insights into real-world adoption, engagement, and satisfaction. The generalizability of the MARS ratings to undocumented migrants may be limited, as this group may face distinct access barriers and usage patterns that were not directly assessed. In addition, the use of tertiles to interpret MARS scores may be less reliable with a small sample size, potentially limiting the robustness of these categorizations. Another limitation is the lack of comparison between app content and authoritative online resources, such as Centers for Disease Control and Prevention websites, which could help assess the relative quality and completeness of the information provided. Moreover, while this study was unable to assess the efficacy or perception of behavior change resulting from the apps, doing so would be a good next step in their evaluation. Despite these limitations, the study provides a comprehensive view of the availability, accessibility, and quality of HIV and STI prevention apps, emphasizing the need for linguistic accessibility and optimized user experiences.</p></sec><sec id="s4-4"><title>Conclusions</title><p>The mobile apps analyzed in this study, focusing on HIV and STI prevention, are available in Canada, the United States, and Mexico through major app stores. These apps primarily offer free access and support multiple languages. The MARS evaluation revealed high performance in engagement, functionality, and information quality, with room for improvement in aesthetics and subjective ratings. These findings underscore the critical role of digital resources in addressing public health challenges faced by minoritized populations, such as migrants. Expanding methodologies like the E-Scan and tools like the MARS could further enhance the field. Addressing quality concerns is essential to ensuring that digital interventions provide credible, satisfying, and effective solutions that drive tangible health impacts. High standards in engagement, functionality, and information are not only technical requirements but fundamental necessities for promoting app credibility and effectiveness in public health promotion.</p></sec></sec></body><back><ack><p>We would like to thank MSN H&#x00E9;ctor Miguel Melchor Ortiz for his valuable contribution in the search for information and Mrs Marketa Wade for copyediting. No generative artificial intelligence tools were used in the writing, editing, data analysis, or figure creation for this article. All content was produced by the authors.</p></ack><notes><sec><title>Data Availability</title><p>The data that support the findings of this study are available from the corresponding author upon reasonable request.</p></sec></notes><fn-group><fn fn-type="con"><p>Conceptualization: HF-S, JS-A, JCMF-D, AG, MJM, CER-D, DSM.</p><p>Formal analysis: HF-S, JS-A, JCMF-D, AG, MJM, CER-D, DSM.</p><p>Funding acquisition: not applicable</p><p>Investigation: HF-S, JS-A, JCMF-D, AG, MJM, CER-D, DSM.</p><p>Methodology: HF-S, JS-A, JCMF-D, AG, MJM, CER-D, DSM.</p><p>Project administration: HF-S.</p><p>Supervision: HF-S.</p><p>Writing &#x2013; original draft: HF-S.</p><p>Writing &#x2013; review and editing: HF-S, JS-A, JCMF-D, AG, MJM, CER-D, DSM.</p></fn><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">E-scan</term><def><p>environmental scan</p></def></def-item><def-item><term id="abb2">MARS</term><def><p>Mobile App Rating Scale</p></def></def-item><def-item><term id="abb3">PrEP</term><def><p>pre-exposure prophylaxis</p></def></def-item><def-item><term id="abb4">PRISMA</term><def><p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</p></def></def-item><def-item><term id="abb5">STI</term><def><p>sexually transmitted infection</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Giourguli-Saucedo</surname><given-names>SE</given-names> </name><name name-style="western"><surname>Lazcano-Ponce</surname><given-names>E</given-names> </name></person-group><article-title>Migraci&#x00F3;n y salud: el reflejo de la inequidad social global y la necesidad de investigaci&#x00F3;n en salud p&#x00FA;blica [Article in Spanish]</article-title><source>Salud Publica Mex</source><year>2024</year><volume>66</volume><issue>2, mar-abr</issue><fpage>115</fpage><lpage>116</lpage><pub-id pub-id-type="doi">10.21149/15530</pub-id><pub-id pub-id-type="medline">39977033</pub-id></nlm-citation></ref><ref id="ref2"><label>2</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Boj&#x00F3;rquez</surname><given-names>I</given-names> </name><name name-style="western"><surname>Cerecero-Garc&#x00ED;a</surname><given-names>D</given-names> </name><name name-style="western"><surname>Orraca-Romano</surname><given-names>PP</given-names> </name><name name-style="western"><surname>Fern&#x00E1;ndez-Ni&#x00F1;o</surname><given-names>J</given-names> </name><name name-style="western"><surname>Rojas-Botero</surname><given-names>M</given-names> </name><name name-style="western"><surname>Infante</surname><given-names>C</given-names> </name></person-group><article-title>Atenci&#x00F3;n en salud a migrantes en tr&#x00E1;nsito: estimaci&#x00F3;n del costo para el sistema de salud en M&#x00E9;xico [Article in Spanish]</article-title><source>Salud Publica Mex</source><year>2024</year><volume>66</volume><issue>6 (nov-dec</issue><fpage>816</fpage><lpage>823</lpage><pub-id pub-id-type="doi">10.21149/15736</pub-id><pub-id pub-id-type="medline">39977155</pub-id></nlm-citation></ref><ref id="ref3"><label>3</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Zamora Salazar</surname><given-names>C</given-names> </name><name name-style="western"><surname>Casillas</surname><given-names>R</given-names> </name></person-group><article-title>Detenci&#x00F3;n de migrantes indocumentados en Estados Unidos: &#x00BF;qui&#x00E9;n es qui&#x00E9;n en aprehensiones? 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