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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">aim</journal-id>
      <journal-title-group>
        <journal-title>Advances in Microbiology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2165-3410</issn>
      <issn pub-type="ppub">2165-3402</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/aim.2026.162002</article-id>
      <article-id pub-id-type="publisher-id">aim-149773</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Wastewater Surveillance in Côte d’Ivoire: An Essential Tool for Public Health in a Resource-Limited Context</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0009-0005-2002-803X</contrib-id>
          <name name-style="western">
            <surname>Sabine</surname>
            <given-names>Vakou N’Dri</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Julien</surname>
            <given-names>Coulibaly Kalpy</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Eric</surname>
            <given-names>Yao Kouamé</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Cedric</surname>
            <given-names>Yapi Adompo Jaurès</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Fabrice</surname>
            <given-names>Gnali Gbohounou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Syndou</surname>
            <given-names>Meité</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Joseph</surname>
            <given-names>Djaman Allico</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Pasteur Institute of Ivory Coast, Abidjan, Côte d’Ivoire </aff>
      <aff id="aff2"><label>2</label> Faculty of Medical Sciences, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire </aff>
      <aff id="aff3"><label>3</label> UFR Biosciences, Pharmacodynamics-Biochemistry Laboratory, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>02</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>02</issue>
      <fpage>17</fpage>
      <lpage>28</lpage>
      <history>
        <date date-type="received">
          <day>03</day>
          <month>12</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>23</day>
          <month>02</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>26</day>
          <month>02</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2026 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) 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> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/aim.2026.162002">https://doi.org/10.4236/aim.2026.162002</self-uri>
      <abstract>
        <p>Wastewater surveillance represents an innovative and cost-effective approach to strengthening epidemiological surveillance systems in Côte d’Ivoire. In the face of persistent infectious diseases (COVID-19, cholera, dengue, MPox) and the limitations of conventional surveillance systems, particularly for asymptomatic infections, this method offers a promising alternative for the early detection of pathogens. This article assesses the feasibility of deploying wastewater surveillance in the Ivorian context, providing a critical analysis of adapted sampling strategies and proposing a sustainable operational framework. Through a narrative synthesis of international scientific data and local institutional reports, the available evidence is analyzed, with a particular focus on recent Ivorian case studies. Passive sampling emerges as a viable alternative to costly active methods, with a proof of concept established locally. Major identified challenges include infrastructure deficits, lack of protocol standardization, and limitations in multisectoral coordination. An operational framework progressively integrating passive sampling, local capacity building, and adapted governance is proposed to establish wastewater surveillance as a sustainable tool for the Ivorian health system.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Wastewater Surveillance</kwd>
        <kwd>Public Health</kwd>
        <kwd>Côte d’Ivoire</kwd>
        <kwd>Passive Sampling</kwd>
        <kwd>Health Systems</kwd>
        <kwd>Infectious Diseases</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Environmental wastewater surveillance represents a significant advance in monitoring pathogens within populations, particularly in resource-limited countries [<xref ref-type="bibr" rid="B1">1</xref>]. It is a key method, for anticipating the emergence or resurgence of infectious diseases such as poliomyelitis, cholera, or COVID-19 [<xref ref-type="bibr" rid="B1">1</xref>]. This approach captures symptomatic, asymptomatic, and untested infections, offering a more accurate picture of the epidemiological situation. Historically used for polio in the 1990s, it enabled the early detection of outbreak clusters, facilitating rapid interventions like targeted vaccination campaigns [<xref ref-type="bibr" rid="B2">2</xref>]. Detecting poliovirus RNA in wastewater has allowed for faster cluster identification compared to community-based surveillance [<xref ref-type="bibr" rid="B3">3</xref>]. </p>
      <p>During the COVID-19 pandemic, wastewater surveillance proved to be a complementary and cost-effective tool for tracking the spread of SARS-CoV-2, particularly in resource-limited regions [<xref ref-type="bibr" rid="B4">4</xref>]. This method enabled large-scale screening with lower costs and constraints than individual testing. Surveillance was based on detecting viral RNA in wastewater, shed in the feces of COVID-19 patients, both adults and children (<xref ref-type="fig" rid="fig1">Figure 1</xref>) [<xref ref-type="bibr" rid="B5">5</xref>]-[<xref ref-type="bibr" rid="B7">7</xref>]. This surveillance is all the more crucial as epidemics disproportionately affect vulnerable populations, often in low- or middle-income countries, where health and testing capacities are reduced, necessitating strict measures, particularly in prisons and detention settings [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B8">8</xref>][<xref ref-type="bibr" rid="B9">9</xref>].</p>
      <fig id="fig1">
        <label>Figure 1</label>
        <graphic xlink:href="https://html.scirp.org/file/2272247-rId17.jpeg?20260226022648" />
      </fig>
      <p><bold>Figure 1.</bold> Wastewater surveillance scheme [<xref ref-type="bibr" rid="B7">7</xref>].</p>
      <p>In Côte d’Ivoire, given the infrastructural and budgetary constraints weighing on health systems, WWS emerges as a strategic lever to strengthen epidemic preparedness. We introduce here the concept of the “Ivorian paradox”: a dichotomy between the maximum utility of WWS in a context of limited clinical testing and the scale of structural challenges related to its deployment (precarious sanitation, fragmented laboratory resources). Overcoming this paradox requires adapting cutting-edge technologies to local realities through transparent multisectoral coordination involving authorities, scientists, and the public [<xref ref-type="bibr" rid="B10">10</xref>][<xref ref-type="bibr" rid="B11">11</xref>]. This article proposes a realistic framework and a critical analysis of the strategies needed to transform WWS into a sustainable pillar of Ivorian public health.</p>
    </sec>
    <sec id="sec2">
      <title>2. Sampling Strategies Adapted to the Ivorian Context</title>
      <p>In developing countries, urban waste management poses serious environmental challenges, exacerbated by the lack of access to adequate sanitation, which increases health risks [<xref ref-type="bibr" rid="B12">12</xref>][<xref ref-type="bibr" rid="B13">13</xref>]. An essential component of the sensitive and accurate characterization of pathogens involved in infectious diseases via wastewater surveillance is the collection of a wastewater sample representative of the total volume of wastewater produced by the community [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B15">15</xref>]. According to several authors, wastewater surveillance primarily relies on three sampling methods. </p>
      <p>Composite sampling, which captures variations over 24 hours, offers optimal representativeness but requires expensive equipment and adapted infrastructure [<xref ref-type="bibr" rid="B16">16</xref>]. Automatic samplers for composite sampling are costly and require infrastructural adaptations, limiting their use in low-resource areas. As an alternative to composite wastewater samples, some practitioners have used grab samples, <italic>i</italic>.<italic>e</italic>., discrete samples collected from the wastewater flow at a single location and a single time [<xref ref-type="bibr" rid="B17">17</xref>]. Nevertheless, collecting low-volume grab samples at a single time increases the risk of erroneous results, as sampling can only be done at one point in the day, influenced by temporal variations in pathogen shedding [<xref ref-type="bibr" rid="B15">15</xref>].Facing these limitations, passive sampling emerges as an innovative alternative [<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B19">19</xref>]. The use of passive samplers for disease surveillance via wastewater dates back to the early days of bacteriology. After the invention of selective media to isolate <italic>Salmonella</italic><italic>typhi</italic> in wastewater, grab sampling of wastewater was used to assess the epidemiology of typhoid fever [<xref ref-type="bibr" rid="B20">20</xref>]-[<xref ref-type="bibr" rid="B23">23</xref>]. This approach, dating back to the “Moore swabs” used for the detection of *Salmonella typhi*, uses absorbent materials immersed in wastewater to capture biological targets over a prolonged period [<xref ref-type="bibr" rid="B24">24</xref>]. It allowed for more reliable detection through continuous sampling of wastewater over two days rather than sporadic “grab sampling” [<xref ref-type="bibr" rid="B24">24</xref>][<xref ref-type="bibr" rid="B25">25</xref>]. </p>
      <p>Research work in Côte d’Ivoire, such as the study by Yapi <italic>et</italic><italic>al</italic>. (2025) [<xref ref-type="bibr" rid="B19">19</xref>], already demonstrates the feasibility and effectiveness of wastewater surveillance, notably via passive sampling (<xref ref-type="fig" rid="fig2">Figure 2</xref>). However, the lack of a clear relationship between flow rate, concentration, and accumulation on the absorbent material complicates the accurate quantification of contaminants and depends on the type of pathogens targeted [<xref ref-type="bibr" rid="B26">26</xref>]. Performance also depends on multiple factors: the nature of the material, the chemical composition of the water, the biological characteristics of the analytes, and biofouling phenomena. The development of standardized protocols and optimized materials therefore remains a research priority [<xref ref-type="bibr" rid="B27">27</xref>]. <bold>Table 1</bold> below summarises the advantages and limitations of these different sampling methods (<bold>Table 1</bold>).</p>
      <p><bold>Table 1</bold><bold>.</bold> Comparison of sampling methods for wastewater surveillance [<xref ref-type="bibr" rid="B15">15</xref>][<xref ref-type="bibr" rid="B27">27</xref>][<xref ref-type="bibr" rid="B28">28</xref>].</p>
      <table-wrap id="tbl1">
        <label>Table 1</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>M</bold>
                <bold>ethod</bold>
              </td>
              <td>
                <bold>B</bold>
                <bold>enefits</bold>
              </td>
              <td>
                <bold>L</bold>
                <bold>imits</bold>
              </td>
              <td>
                <bold>S</bold>
                <bold>uitability for the</bold>
                <bold>I</bold>
                <bold>vorian context</bold>
              </td>
            </tr>
            <tr>
              <td>
                <bold>C</bold>
                <bold>omposite</bold>
              </td>
              <td>Optimal representativeness</td>
              <td>High cost, complex infrastructure</td>
              <td>Low</td>
            </tr>
            <tr>
              <td>
                <bold>I</bold>
                <bold>nstantaneous</bold>
              </td>
              <td>Low cost, simplicity</td>
              <td>Limited representativeness</td>
              <td>Medium</td>
            </tr>
            <tr>
              <td>
                <bold>P</bold>
                <bold>assive</bold>
              </td>
              <td>Moderate cost, temporal integration</td>
              <td>Standardisation required</td>
              <td>High</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <fig id="fig2">
        <label>Figure 2</label>
        <graphic xlink:href="https://html.scirp.org/file/2272247-rId18.jpeg?20260226022648" />
      </fig>
      <p><bold>Figure 2.</bold> Wastewater monitoring sites in Côte d’Ivoire [<xref ref-type="bibr" rid="B19">19</xref>] (A: Grap sampling; B: Open channel for the drainage of water from households; C and D: Passive sampling with sanitary tampon tied to a rope). </p>
      <p>Côte d’Ivoire, with its complex epidemiological profile, has recently initiated major research work on wastewater surveillance. The first meeting on this topic in April 2025 laid the foundations for a comprehensive network of laboratories dedicated to the surveillance of infectious diseases, particularly enteric ones. Several studies have highlighted the impact of poor wastewater management on public health [<xref ref-type="bibr" rid="B29">29</xref>]-[<xref ref-type="bibr" rid="B32">32</xref>], as well as the effectiveness of active and passive sampling methods for the detection of pathogens like SARS-CoV-2 in Abidjan’s effluents [<xref ref-type="bibr" rid="B19">19</xref>].</p>
      <p>Beyond research studies, environmental surveillance is already an operational component of the epidemic response in Côte d’Ivoire, as evidenced by internal reports from national health institutions. During recent cholera epidemics, the performance of environmental sampling (surface water, wells) for the confirmation of Vibrio cholerae has been a systematic practice documented by the COUSP and INHP [<xref ref-type="bibr" rid="B33">33</xref>]. This existing expertise in environmental sampling and analysis constitutes a solid foundation upon which to build a more structured wastewater surveillance system.</p>
      <p>Furthermore, the strategic willingness to extend these capacities is perceptible in national orientations. In accordance with the guidelines of the Global Polio Eradication Initiative (GPEI), Côte d’Ivoire, considered a high-risk country for poliovirus reimportation, has already established an environmental surveillance program for polioviruses (Global Polio Eradication Initiative). This program, part of the 2022-2026 eradication plan, involves regular sampling from wastewater in sentinel sites, such as those conducted by the Institut Pasteur de Côte d’Ivoire. The objective is the early detection of any virus reintroduction, thus complementing acute flaccid paralysis surveillance.</p>
      <p>Finally, research and development activities are underway to extend this surveillance to other diseases. The National Institute of Public Hygiene (INHP) and the Public Health Emergency Operations Center (COUSP) are actively exploring the integration of wastewater surveillance into the epidemic response, notably for cholera and dengue, as evidenced by national epidemiological reports. These initiatives, although often still at the pilot stage, demonstrate a growing institutional willingness to capitalize on this tool to strengthen the resilience of the Ivorian health system.</p>
    </sec>
    <sec id="sec3">
      <title>3. Strategic Importance for the Ivorian Health System</title>
      <p>Wastewater surveillance can target several pathogens of major public health interest, thus offering a cost-effective multi-parameter vigilance system. International studies suggest that WWS can be 10 to 100 times less expensive per person monitored. In a context where individual PCR test costs remain prohibitive, a single wastewater sample allows for the simultaneous detection of multiple agents, providing a global view of disease circulation at a fraction of the cost [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B17">17</xref>].</p>
      <p>Enteric viruses represent a prime target, notably the poliovirus for which environmental surveillance is already standardized within the global eradication initiative [<xref ref-type="bibr" rid="B2">2</xref>]. Hepatitis A and E, endemic in several regions of the country, can be monitored to anticipate epidemic outbreaks [<xref ref-type="bibr" rid="B34">34</xref>]. Dengue, with its recent resurgence (4700 suspected cases in 2022-2024) alerting health authorities [<xref ref-type="bibr" rid="B35">35</xref>], can also be detected early through this approach.</p>
      <p>Among bacteria, Vibrio cholerae, responsible for cholera epidemics, remains a priority [<xref ref-type="bibr" rid="B33">33</xref>], as do typhoidal and non-typhoidal Salmonella, Shigella, and enterohemorrhagic <italic>E</italic>. <italic>coli</italic> [<xref ref-type="bibr" rid="B11">11</xref>]. Surveillance of MPox (monkeypox virus) could offer a valuable indicator of its silent circulation in the population [<xref ref-type="bibr" rid="B36">36</xref>]. Finally, from a One Health perspective, the search for zoonotic agents such as avian or swine influenzas and emerging coronaviruses would strengthen preparedness against pandemic threats [<xref ref-type="bibr" rid="B37">37</xref>].</p>
      <p>This multi-target approach, impossible to implement by individual clinical tests alone for cost reasons, constitutes the entire added value of wastewater-based surveillance in a resource-limited context [<xref ref-type="bibr" rid="B1">1</xref>]. As demonstrated by the work of [<xref ref-type="bibr" rid="B17">17</xref>], a single wastewater sample can enable the simultaneous detection of multiple pathogens, thus providing a comprehensive view of the circulation of infectious diseases within a community.</p>
      <p>In recent years, the country has faced several major health crises, illustrating the vulnerabilities of the current surveillance system:</p>
      <p>Cholera epidemic in 2025 (7 confirmed deaths, [<xref ref-type="bibr" rid="B33">33</xref>]). Dengue outbreak 2022-2024 (4700 suspected cases, 594 confirmed, [<xref ref-type="bibr" rid="B35">35</xref>]). Confirmed MPox cases in 2024 (43 cases across 20 districts, [<xref ref-type="bibr" rid="B36">36</xref>]). Ebola alert in 2021 in the region ([<xref ref-type="bibr" rid="B38">38</xref>][<xref ref-type="bibr" rid="B39">39</xref>]). </p>
      <p>To meet this challenge, wastewater surveillance must be integrated into the existing architecture of the Ivorian health system, which relies on the Public Health Emergency Operations Center (COUSP) and the National Institute of Public Hygiene (INHP). The current system covers 40 priority diseases according to the WHO integrated surveillance model, ranging from diseases with epidemic potential to endemic and neglected tropical diseases [<xref ref-type="bibr" rid="B40">40</xref>].</p>
      <p>The specific points of attention for the Ivorian context are recorded in <bold>Table 2</bold> below:</p>
      <p><bold>Table 2</bold><bold>.</bold> Capitalizing on existing assets for the integration of wastewater surveillance in Côte d’Ivoire [<xref ref-type="bibr" rid="B39">39</xref>].</p>
      <table-wrap id="tbl2">
        <label>Table 2</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Existing achievements</bold>
              </td>
              <td>
                <bold>Application for wastewater</bold>
              </td>
            </tr>
            <tr>
              <td>
                <bold>Trilingual interface and local adaptation</bold>
              </td>
              <td>Development of protocols adapted to field constraints</td>
            </tr>
            <tr>
              <td>
                <bold>Integrated</bold>
                <bold>cousp</bold>
                <bold>-</bold>
                <bold>inhp</bold>
                <bold>platforms</bold>
              </td>
              <td>Integration into existing monitoring architecture</td>
            </tr>
            <tr>
              <td>
                <bold>Training of 200 agents and 50 epidemiologists</bold>
              </td>
              <td>Basis for specific capacity building</td>
            </tr>
            <tr>
              <td>
                <bold>Target of 50% reduction in detection times</bold>
              </td>
              <td>Direct contribution through early detection</td>
            </tr>
            <tr>
              <td>
                <bold>Emerging one health approach</bold>
              </td>
              <td>Ideal framework for health-environment integration</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec id="sec4">
      <title>4. Operational Challenges and Structural Constraints</title>
      <p>One of the main lessons from the COVID-19 pandemic is that science alone cannot control a pandemic. Leadership is essential: decisions must be made, trust gained, clear messages maintained, control measures succinctly stated, and the public educated and inspired to act. The implementation of wastewater surveillance in Côte d’Ivoire faces several challenges:</p>
      <p>Infrastructure Deficits: Approximately 40% of households in Abidjan lack an adapted evacuation system, compromising the representativeness of samples [<xref ref-type="bibr" rid="B41">41</xref>]. The inadequate management of domestic wastewater, with direct discharge into the environment, further complicates epidemiological monitoring [<xref ref-type="bibr" rid="B42">42</xref>].Non-Standardized Sampling and Analysis: Different protocols have been used in different jurisdictions/programs for wastewater sampling, virus concentration, RNA extraction, RT-qPCR analysis, genome sequencing, and data analysis. Unfortunately, all these protocols have led to variable virus recovery yields depending on the protocol itself and the operational personnel.Lack of Understanding of Viral Stability in Sewers: Studies on the impact of factors such as sewer biofilms, sediments, chemical dosing and removal in sewers, inflows/infiltration (wastewater dilution) on pathogens are very limited. These processes in sewers can lead to an underestimation or overestimation of viral concentrations in wastewater in different sewer catchments [<xref ref-type="bibr" rid="B43">43</xref>].Absence of Robust Back-Calculation Models to Estimate the Number of Infected Cases: Lack of research to improve data analysis for a range of outcomes related to infectious diseases such as incidence rate, prevalence rate, transmission rate, hospital and intensive care admissions, and early warning. Furthermore, relatively few studies have attempted to transform wastewater surveillance data into actionable information to support pandemic management [<xref ref-type="bibr" rid="B43">43</xref>].Establishment of an integrated data management system that overcomes the challenge of interoperability. This requires the implementation of data-sharing protocols to clarify information ownership among the Ministries of Health, Environment, and Sanitation. The objective is to ensure that raw environmental data are transformed into public health indicators that are actionable in real-time by decision-makersTechnical Limitations: The lack of specialized equipment and personnel trained in microbiological analyses restricts the capacities for accurate pathogen detection in wastewater [<xref ref-type="bibr" rid="B44">44</xref>]. Local laboratories struggle to maintain the necessary cold chains and quality controls.Coordination Fragility: Collaboration between the water, health, and environment sectors remains insufficient, hindering the integration of data for decision-making [<xref ref-type="bibr" rid="B45">45</xref>].Environmental Pressures: Increasing pollution of water resources due to anthropogenic activities (mining, industrial discharges, uncontrolled agriculture), which complicates the interpretation of surveillance results and necessitates broader environmental monitoring [<xref ref-type="bibr" rid="B42">42</xref>][<xref ref-type="bibr" rid="B46">46</xref>].Financial Constraints: The economic impacts of recent health crises limit investments in sanitation infrastructure and analytical capacities [<xref ref-type="bibr" rid="B47">47</xref>].Climate Variability and Demographic Pressure: These elements increase sanitation needs while putting pressure on water resources, making the adaptation of surveillance systems to local realities urgent [<xref ref-type="bibr" rid="B48">48</xref>].</p>
      <p>Beyond technical obstacles, the success of wastewater surveillance in Côte d’Ivoire depends on social acceptability. In informal settlements, sample collection can trigger mistrust. It is crucial to integrate awareness campaigns explaining data anonymity and the collective interest of this surveillance in preventing local outbreaks, thereby transforming populations in “grey zones” into active participants in their own health security. </p>
      <p>All these challenges require adapted approaches, strengthening of technical and institutional capacities, and the establishment of robust coordination networks to make wastewater surveillance an effective tool for public health in Côte d’Ivoire.</p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusions</title>
      <p>Wastewater surveillance offers a strategic opportunity to transform health risk management in Côte d’Ivoire. Its progressive deployment, supported by strong political will and effective multisectoral cooperation, could significantly improve epidemic detection and response. It could complement clinical surveillance by potentially supporting the detection of multiple pathogens through a single surveillance network, at low cost. The circulation of several pathogens, often difficult to detect relying solely on clinical surveillance, could thus be identified. This surveillance could help generate actionable data by including symptomatic and asymptomatic cases.</p>
      <p>The One Health approach, integrating human, animal, and environmental health, constitutes the ideal framework for this deployment. Future extension (for example, the existing Public Health Emergency Operations Center (COUSP)) to the surveillance of other emerging pathogens and general environmental quality would strengthen the resilience of the Ivorian health system. A continued commitment to applied research, technological innovation, and local capacity building will be essential to guarantee the effectiveness and sustainability of this promising tool. Côte d’Ivoire has significant but vulnerable water resources, with major challenges in access, quality, and governance. The triple climate, economic, and health crisis worsens the situation, requiring SMART investments, a strengthened institutional framework, and an integrated approach. Côte d’Ivoire could thus position its regional leadership in environmental surveillance for public health.</p>
    </sec>
    <sec id="sec6">
      <title>6. Perspectives and Recommendations</title>
      <p>To optimize this public health tool in Côte d’Ivoire, it is recommended to standardize protocols for sensitive and reproducible detection, strengthen staff technical capacities, invest in suitable analytical infrastructure, and develop an integrated data management system. A better understanding of pathogen fate in sewers could further improve monitoring. Smart wastewater surveillance, supported by AI and big data, can lead to innovative, evidence-based pandemic management that minimizes transmission and societal disruptions during outbreaks. Furthermore, surveillance should be expanded to other pathogens and across different territorial scales, particularly within universities, prisons, large buildings, aircraft, and ships. The engagement of multisectoral stakeholders (health, environment, water, and sanitation) is crucial to ensuring sustainable monitoring and a coordinated response to health risks. This system could also extend to the surveillance of other emerging pathogens and general environmental quality, contributing to a robust “One Health” framework. The integration of the “One Health” approach would involve creating a shared data platform among human health laboratories, veterinary services, and environmental agencies. For instance, the early detection of antibiotic resistance genes or zoonotic agents in urban wastewater would trigger simultaneous alerts to both animal and human health surveillance systems to investigate potential clusters within target populations, slaughterhouses, or peri-urban farms.</p>
    </sec>
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