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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1736787</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Mini Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Global landscape and professionalization of infection preventionist education: comparative insights and future directions</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Yu-long</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/907675"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shan</surname>
<given-names>Jiao</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3115668"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bao</surname>
<given-names>Xiao-yuan</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1066742"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jin</surname>
<given-names>Meng</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1767108"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huai</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jin</surname>
<given-names>Yi-cheng</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jin</surname>
<given-names>Yi-xi</given-names>
</name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Ze-xin</given-names>
</name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kuang</surname>
<given-names>Ji-qiu</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Department of Hospital-Acquired Infection Control, Peking University People's Hospital</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Hospital-Acquired Infection Control, Beijing Jishuitan Hospital, Capital Medical University</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Medical Informatics Center, Institute of Advanced Clinical Medicine, Peking University</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Emergency, Peking University Third Hospital</institution>, <city>Beijing</city>, <country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>School of General Studies, Columbia University</institution>, <city>New York</city>, <state>NY</state>, <country country="us">United States</country></aff>
<aff id="aff6"><label>6</label><institution>Khoury College of Computer Science, Northeastern University</institution>, <city>Seattle</city>, <state>WA</state>, <country country="us">United States</country></aff>
<aff id="aff7"><label>7</label><institution>Graduate School of Medicine, Kyoto University</institution>, <city>Kyoto</city>, <country country="jp">Japan</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Ji-qiu Kuang, <email xlink:href="mailto:caoyulongchn@163.com">gjyghxzd@21cn.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-09">
<day>09</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1736787</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>10</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Cao, Shan, Bao, Jin, Huai, Jin, Jin, Zhang and Kuang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Cao, Shan, Bao, Jin, Huai, Jin, Jin, Zhang and Kuang</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-09">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Healthcare-associated infections (HAIs) continue to pose a significant threat to global public health, underscoring the critical role of infection preventionists (IPs). However, considerable heterogeneity exists in IP training and credentialing worldwide. This mini-review synthesizes existing models from diverse healthcare systems into a unified &#x201C;IP Education Maturity Spectrum.&#x201D; This conceptual framework categorizes global training systems into Nascent, Developing, and Established stages, defined by their maturity across three dimensions: Institutional Integration, Competency Orientation, and Career Sustainability. Furthermore, we address the &#x201C;Professional Identity Paradox&#x201D;&#x2014;the structural tension between the field&#x2019;s multidisciplinary roots and the need for a specialized professional identity. Finally, we position academic integration, digital education, and global harmonization not merely as future trends, but as strategic interventions designed to propel systems up the maturity spectrum toward full professionalization.</p>
</abstract>
<kwd-group>
<kwd>infection control education</kwd>
<kwd>training model</kwd>
<kwd>infection preventionist</kwd>
<kwd>certification</kwd>
<kwd>competency framework</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Beijing High-level Talent Cultivation Program -Spring Bud Project (G202533208) and National Institute of Hospital Administration, Medical artificial intelligence clinical application research project (YLXX24AID001).</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="5"/>
<word-count count="3555"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases: Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Healthcare-associated infections (HAIs) remain one of the most enduring and consequential challenges in modern healthcare, contributing substantially to morbidity, mortality, and healthcare costs globally (<xref ref-type="bibr" rid="ref1">1</xref>). Effective infection prevention and control (IPC) programs are widely acknowledged as fundamental pillars of patient safety and clinical quality (<xref ref-type="bibr" rid="ref2">2</xref>). Infection preventionists (IPs) are central to the success of IPC programs, serving as specialized professionals who design, implement, and evaluate strategies to mitigate infection risks in healthcare environments (<xref ref-type="bibr" rid="ref3">3</xref>). As healthcare systems grow increasingly complex and emerging infectious diseases continue to pose new threats, the need for a competent, well-trained, and standardized IPs workforce has become more urgent than ever before (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Despite the global recognition of IPC as a core healthcare function, substantial heterogeneity persists in the ways IPs are trained, certified, and integrated into healthcare systems. In several high-income countries&#x2014;such as the United States, the United Kingdom, and Japan&#x2014;well-defined competency frameworks and formal certification mechanisms have been established, underpinned by professional organizations and academic institutions (<xref ref-type="bibr" rid="ref5">5</xref>). In contrast, in many parts of Asia and in low- and middle-income countries, IPs are often trained through in-service or <italic>ad hoc</italic> programs, typically lacking standardized curricula or formal accreditation frameworks (<xref ref-type="bibr" rid="ref6">6</xref>). Such variations in educational pathways and professional recognition can result in inconsistent competencies and constrained professional mobility among IPs across regions.</p>
<p>The COVID-19 pandemic further exposed and amplified these disparities. Countries with standardized and tiered IPC training systems exhibited greater resilience, coordination, and adaptability in their outbreak responses, whereas regions lacking such infrastructure struggled to mobilize an adequately trained infection prevention workforce (<xref ref-type="bibr" rid="ref7">7</xref>). Understanding how different countries structure their IP education and certification systems offers critical insights for developing a more resilient, standardized, and globally aligned IPC workforce.</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>The integrated framework: the IP education maturity Spectrum</title>
<p>To systematically map the global landscape, the &#x201C;IP Education Maturity Spectrum&#x201D; utilizes three non-linear operational dimensions to define a country&#x2019;s developmental stage, providing a comprehensive assessment tool for comparative analysis.</p>
<p>The first dimension is Institutional Integration, which measures the degree to which IP education and training are formally embedded within the national academic and regulatory infrastructure (<xref ref-type="bibr" rid="ref8">8</xref>). At the low end, training is ad-hoc and episodic, relying heavily on temporary funding or short-term workshops (<xref ref-type="bibr" rid="ref9">9</xref>). At the high end, IP education is offered through specialized, accredited Master&#x2019;s or Doctoral programs, fully integrated into university systems and mandated by national health policy. High integration suggests stability and permanence in the educational pipeline (<xref ref-type="bibr" rid="ref10">10</xref>).</p>
<p>The second dimension, Competency Orientation, examines the foundation of the IP curriculum. Lower maturity levels are characterized by task-based or check-list training, often lacking the theoretical depth necessary for complex decision-making and quality improvement science (<xref ref-type="bibr" rid="ref11">11</xref>). Higher maturity levels mandate framework-driven knowledge acquisition, where education is based on defined, rigorous professional competencies (e.g., the APIC or IFIC models) that require advanced knowledge in epidemiology, microbiology, and process improvement methodology (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>The final dimension, Career Sustainability, is perhaps the most critical indicator of professional maturity. It evaluates the existence of a clear, attractive professional pathway, including formalized certification, compensation linked to credentials, and defined leadership roles. Low sustainability leads to high attrition rates and undermines expertise accumulation (<xref ref-type="bibr" rid="ref14">14</xref>). Conversely, high sustainability ensures the IP role is viewed as a primary, specialized career&#x2014;one with clear potential for advancement and influence within the healthcare hierarchy (<xref ref-type="bibr" rid="ref15">15</xref>). Within this framework, a system&#x2019;s combined performance across these three dimensions determines its classification into the Nascent, Developing, or Established Stage.</p>
</sec>
<sec id="sec3">
<label>3</label>
<title>The global landscape analysis: the stages of professionalization</title>
<sec id="sec4">
<label>3.1</label>
<title>Stage 1: the nascent stage</title>
<p>The Nascent Stage is primarily defined by critically low scores across the three dimensions, particularly in Institutional Integration and Career Sustainability. Geographically, this stage frequently characterizes many low- and middle-income countries (LMICs), notably in Sub-Saharan Africa and parts of South Asia. In these regions, the primary driver for IP training is often reactive, stemming from crises such as the Ebola or COVID-19 pandemics, or initiated by external non-governmental or multilateral organizations (<xref ref-type="bibr" rid="ref16">16</xref>). Training is typically delivered through workshops or short-term programs, such as those associated with Field Epidemiology Training Programs (FELTPs), which, while valuable for acute response, are not institutionally permanent (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
<p>A specific example of this challenge is the near-total reliance on donor-driven funding, which often makes training episodic and unsustainable. Once external funding wanes, the infrastructure&#x2014;including trained mentors and specialized faculty&#x2014;often collapses, leading to a profound gap in the educational pipeline. Furthermore, the IP role in this stage is often not codified as a distinct profession. Instead, the task is typically &#x201C;borrowed&#x201D; by a nurse or clinician, for which they receive little to no additional compensation or career advancement (<xref ref-type="bibr" rid="ref18">18</xref>). This structural deficiency in Career Sustainability leads directly to high turnover, preventing the essential accumulation of experienced professionals and trapping the system in a perpetual cycle of basic, reactive training. Addressing this stage requires immediate intervention to stabilize the educational base and foster local capacity that is not dependent on external actors (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
</sec>
<sec id="sec5">
<label>3.2</label>
<title>Stage 2: the developing stage (transitional professionalization)</title>
<p>The Developing Stage represents systems that have achieved partial maturity, demonstrating moderate Institutional Integration but struggling profoundly with the Professional Identity Paradox and inconsistent Competency Orientation. This category includes major systems across Latin America, the Middle East, and emerging economies like China. In these contexts, formal regulatory requirements exist, and tertiary institutions may offer postgraduate diplomas or certificates (<xref ref-type="bibr" rid="ref20">20</xref>).</p>
<p>However, the field is deeply affected by the structural tension inherent in its multidisciplinary origins. Because the IP role is often filled by individuals predominantly trained in Nursing or Public Health&#x2014;as is common in Brazil or Middle Eastern countries where nursing forms the IP backbone&#x2014;a fundamental ambiguity exists (<xref ref-type="bibr" rid="ref21">21</xref>). Is the goal to transition to a singular, specialized IP identity, or to broadly enhance IP competency across multiple foundational professions? This Professional Identity Paradox creates tension in practice. For example, in China, while IPs may hold specialist responsibilities, their official job code remains tied to clinical nursing or laboratory staff, meaning they lack the regulatory autonomy and pay grade commensurate with their specialized function (<xref ref-type="bibr" rid="ref22">22</xref>). This structural limitation compromises Competency Orientation because the absence of a standardized, regulated IP status means that competency assessments, while present, lack the legal and professional leverage to enforce continuous, advanced professional development. Ultimately, this stage is characterized by a &#x201C;glass ceiling&#x201D; on professional influence, where the IP role is valued, but not fully recognized or structurally rewarded.</p>
</sec>
<sec id="sec6">
<label>3.3</label>
<title>Stage 3: the established stage (full professionalization)</title>
<p>The Established Stage represents systems that have achieved high maturity across all three dimensions, notably including the United States, Germany, the United Kingdom, and Japan. These systems have successfully resolved the Professional Identity Paradox by institutionalizing the IP role. Institutional Integration is robust (<xref ref-type="bibr" rid="ref23">23</xref>). IP education is provided through accredited academic programs at the graduate level, often mandated by professional boards.</p>
<p>The defining characteristic of this stage is high Competency Orientation. Education is guided by dynamic, regularly updated competency models (e.g., the APIC Competency Model, IFIC Professional Framework), and achievement is validated through rigorous, independent certification (e.g., the Certification in Infection Control, CIC&#x00AE;) (<xref ref-type="bibr" rid="ref24">24</xref>). Crucially, Career Sustainability is maximized: certification is directly linked to compensation scales, eligibility for senior leadership positions, and professional mobility. For example, the Japanese Certified Nurse in Infection Control (CNIC) program provides a clear pathway for nurses to gain specialized authority and prestige, securing the IP profession&#x2019;s position as a distinct and indispensable specialty (<xref ref-type="bibr" rid="ref25">25</xref>). The longevity and influence of IP leadership in these countries demonstrate the effectiveness of this fully integrated model.</p>
</sec>
</sec>
<sec id="sec7">
<label>4</label>
<title>Strategic interventions for professionalization</title>
<p>The transition between stages on the Maturity Spectrum is not passive. it requires deliberate, targeted strategic interventions that address the specific structural deficits identified in the analysis.</p>
<sec id="sec8">
<label>4.1</label>
<title>Academic integration: solving the professional identity paradox</title>
<p>The most critical structural challenge is the Professional Identity Paradox prevalent in the Developing Stage. Attributing this issue solely to &#x201C;poor training&#x201D; is insufficient; the problem is structural. The intervention requires moving beyond certificate programs to formalizing IP as a distinct academic discipline. Academic Integration entails establishing interdisciplinary graduate programs that are explicitly open to professionals from Public Health, Nursing, and Laboratory Science alike (<xref ref-type="bibr" rid="ref26">26</xref>). This strategy serves two functions: First, it standardizes the theoretical foundation regardless of the entering discipline, and second, it creates a regulatory foundation for the infection preventionist job code (<xref ref-type="bibr" rid="ref27">27</xref>). By establishing IP as a recognized academic specialization, the field secures a permanent and respected position within the health system, resolving the tension and creating genuine Career Sustainability.</p>
</sec>
<sec id="sec9">
<label>4.2</label>
<title>Digital education ecosystems: bridging the institutional integration gap</title>
<p>To address the profound lack of Institutional Integration and resource constraints characteristic of the Nascent Stage, Digital Education Ecosystems offer a vital, scalable solution. This intervention involves utilizing high-quality e-learning modules, virtual simulation laboratories, and low-bandwidth learning platforms to decouple rigorous training from the need for centralized, physical university infrastructure (<xref ref-type="bibr" rid="ref28">28</xref>). Evidence from pilot programs in South Asia has shown that competency-based online modules can effectively deliver advanced IPC knowledge to large cohorts of nurses and allied health workers in low-resource settings (<xref ref-type="bibr" rid="ref29">29</xref>). This strategy directly impacts Institutional Integration by providing a mechanism to rapidly standardize workforce training and establish measurable competency benchmarks without awaiting the slow maturation of traditional academic structures. This allows Nascent systems to leapfrog certain infrastructural obstacles.</p>
</sec>
<sec id="sec10">
<label>4.3</label>
<title>Global harmonization: solving the competency and mobility barriers</title>
<p>While Established systems have high internal standardization, Global Harmonization is required to ensure interoperability across the Maturity Spectrum. This intervention targets the Competency Orientation and Career Sustainability dimensions globally. Harmonization does not mandate identical curricula; instead, it requires the mutual recognition of core competencies, ensuring that an IP certified in a Developing system meets a universally accepted baseline. Mapping studies across various European nations have already demonstrated the complexity and necessity of this process. Adopting global standards facilitates professional mobility, allowing experienced IPs to contribute effectively across borders during global health crises (<xref ref-type="bibr" rid="ref11">11</xref>). It also provides a clear, aspirational benchmark for Developing and Nascent systems, focusing their educational efforts on achieving these internationally recognized competencies, thereby strengthening overall global health security readiness.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec11">
<label>5</label>
<title>Conclusion</title>
<p>The professionalization of the IP workforce is not a passive process but a strategic progression along the IP Education Maturity Spectrum. The path to full professionalization requires stakeholders to first acknowledge and systematically map their system&#x2019;s deficits across Institutional Integration, Competency Orientation, and Career Sustainability. The key structural bottleneck&#x2014;the Professional Identity Paradox&#x2014;must be resolved through Academic Integration. Furthermore, leveraging the scalability of Digital Education Ecosystems is crucial for bridging infrastructural gaps in Nascent systems, while Global Harmonization ensures competency alignment across the entire spectrum. Ultimately, advancing national IP education systems is not merely an academic endeavor, but a fundamental prerequisite for mitigating HAI risk and securing global.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec12">
<title>Data availability statement</title>
<p>All data used in this review are derived from publicly available sources, including PubMed-indexed articles and official publications from professional organizations.</p>
</sec>
<sec sec-type="author-contributions" id="sec13">
<title>Author contributions</title>
<p>Y-lC: Conceptualization, Writing &#x2013; original draft. JS: Data curation, Writing &#x2013; original draft, Conceptualization. X-yB: Conceptualization, Data curation, Writing &#x2013; review &#x0026; editing, Project administration. MJ: Writing &#x2013; review &#x0026; editing, Data curation. WH: Data curation, Writing &#x2013; review &#x0026; editing. Y-cJ: Methodology, Writing &#x2013; review &#x0026; editing. Y-xJ: Methodology, Writing &#x2013; review &#x0026; editing. Z-xZ: Writing &#x2013; review &#x0026; editing, Methodology. J-qK: Methodology, Conceptualization, Writing &#x2013; review &#x0026; editing, Project administration.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to express their gratitude to Professor Jeanette J. Rainey, Director of the Division of Global Health Protection, Centers for Disease Control and Prevention of the United States, for her guidance and assistance in the research.</p>
</ack>
<sec sec-type="COI-statement" id="sec14">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec15">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec16">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1342006/overview">Jacqueline G. Bloomfield</ext-link>, The University of Sydney, Australia</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2340564/overview">Eta Ashu</ext-link>, Public Health Agency of Canada, Canada</p>
</fn>
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