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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ajmb</journal-id>
      <journal-title-group>
        <journal-title>American Journal of Molecular Biology</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2161-6663</issn>
      <issn pub-type="ppub">2161-6620</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ajmb.2026.162009</article-id>
      <article-id pub-id-type="publisher-id">ajmb-149368</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>Molecular Innovations in Malaria Diagnostics: A Critical Review of Multiplex PCR Approaches for Human and Vector Surveillance</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Hien</surname>
            <given-names>Domonbabele François De Sale</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0000-0003-2350-9339</contrib-id>
          <name name-style="western">
            <surname>Bilgo</surname>
            <given-names>Etienne</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Institut de Recherche en Sciences de la Santé, Direction Régionale de l’Ouest, Bobo-Dioulasso, Burkina Faso </aff>
      <aff id="aff2"><label>2</label> Institut National de Santé Publique/Centre Muraz, Bobo-Dioulasso, Burkina Faso </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>03</day>
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>04</month>
        <year>2026</year>
      </pub-date>
      <volume>16</volume>
      <issue>02</issue>
      <fpage>121</fpage>
      <lpage>126</lpage>
      <history>
        <date date-type="received">
          <day>01</day>
          <month>12</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>31</day>
          <month>01</month>
          <year>2026</year>
        </date>
        <date date-type="published">
          <day>03</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/ajmb.2026.162009">https://doi.org/10.4236/ajmb.2026.162009</self-uri>
      <abstract>
        <p>Molecular methods are transforming malaria diagnosis and surveillance by enabling highly sensitive and specific identification of <italic>Plasmodium</italic> species, including mixed infections that microscopy often misses. Multiplex PCR assays offer additional advantages by detecting several species simultaneously in a single reaction, reducing reagent use and processing time. This review synthesizes current advances in multiplex PCR detection of <italic>Plasmodium</italic><italic>falciparum</italic>, <italic>P.</italic><italic>ovale</italic>, and <italic>P.</italic><italic>malariae</italic> in human and mosquito samples, drawing on published literature and recent assay development efforts. We highlight methodological strengths, including species-specific primer design, improved detection of mixed infections, and applicability to entomological surveillance. We also critically examine persistent challenges small validation sample sizes, lack of analytical sensitivity data, absence of quantified parasite loads, and limitations in mosquito specimen characterization. Finally, we propose a framework for future assay validation that includes parasite quantification, rigorous analytical performance metrics, tissue-specific mosquito sampling, and expanded epidemiological studies. This synthesis demonstrates that multiplex PCR holds strong promise for integrated malaria surveillance but requires standardized validation pipelines before widespread adoption.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Malaria Diagnostics</kwd>
        <kwd>Multiplex PCR</kwd>
        <kwd>&lt;i&gt;Plasmodium&lt;/i&gt; Species</kwd>
        <kwd>Vector Surveillance</kwd>
        <kwd>Assay Validation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Malaria remains one of the most important parasitic diseases worldwide, with more than 240 million cases and over 600,000 deaths reported annually, the vast majority occurring in sub-Saharan Africa [<xref ref-type="bibr" rid="B1">1</xref>]. Despite substantial progress over the past two decades, malaria transmission persists in many endemic regions, underscoring the need for accurate, sensitive, and context-appropriate diagnostic tools. Reliable diagnosis is essential not only for individual case management but also for surveillance, stratification of transmission intensity, and evaluation of control and elimination strategies.</p>
      <p>Conventional diagnostic methods—light microscopy and rapid diagnostic tests (RDTs)—have played a central role in malaria control. However, both approaches suffer from well-recognised limitations. Microscopy requires skilled personnel, is time-consuming, and has limited sensitivity for low-density infections and mixed-species cases [<xref ref-type="bibr" rid="B2">2</xref>]. RDTs, while operationally simple and widely deployed, show variable sensitivity across settings, perform poorly for non-<italic>Plasmodium</italic><italic>falciparum</italic> species, and may yield false-positive results due to persistent antigens following parasite clearance [<xref ref-type="bibr" rid="B3">3</xref>]. These shortcomings are particularly problematic in low-transmission or pre-elimination settings, where asymptomatic and low-parasitaemia infections contribute disproportionately to residual transmission.</p>
      <p>To overcome these constraints, nucleic acid-based diagnostic approaches have gained increasing attention. Techniques such as nested PCR, quantitative PCR (qPCR), loop-mediated isothermal amplification (LAMP), and next-generation sequencing provide substantially higher sensitivity and specificity than conventional methods [<xref ref-type="bibr" rid="B4">4</xref>]-[<xref ref-type="bibr" rid="B6">6</xref>]. Among these, multiplex PCR—allowing the simultaneous detection of multiple <italic>Plasmodium</italic> species in a single reaction—offers a practical compromise between analytical performance, cost, and laboratory feasibility. This approach is especially relevant in regions where <italic>P.</italic><italic>falciparum</italic>, <italic>P.</italic><italic>ovale</italic>, and <italic>P.</italic><italic>malariae</italic> co-circulate, and where accurate species identification is critical for appropriate treatment and surveillance.</p>
      <p>Beyond clinical diagnosis, multiplex PCR has become increasingly valuable for entomological surveillance. Molecular detection of <italic>Plasmodium</italic> infections in mosquito vectors enables identification of low-intensity infections that are frequently missed by microscopy-based methods and provides insights into transmission dynamics, vector competence, and intervention impact [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B8">8</xref>]. Such applications are particularly relevant for countries transitioning from control to elimination, where detecting residual transmission foci is a priority.</p>
      <p>Despite its promise, the validation and standardisation of multiplex PCR assays remain inconsistent across published studies. Key challenges include the determination of limits of detection, assay reproducibility, and performance across diverse epidemiological settings. In addition, vector sampling strategies, mosquito infection rates, and laboratory capacity vary widely between malaria-endemic countries, influencing the operational utility of molecular tools. Consequently, validation frameworks developed in one context may not be directly transferable to another.</p>
      <p>In this review, we synthesise current advances in multiplex PCR assays targeting <italic>Plasmodium</italic><italic>falciparum</italic>, <italic>P.</italic><italic>ovale</italic>, and <italic>P.</italic><italic>malariae</italic> in both human and mosquito samples. We highlight progress in species-specific primer design and applications to entomological surveillance, while critically examining remaining technical and operational gaps. Importantly, we contextualise multiplex PCR deployment within heterogeneous malaria control programmes, emphasising the need for locally adapted validation strategies before integration into national malaria control and elimination efforts.</p>
    </sec>
    <sec id="sec2">
      <title>2. Primer Design and Species Specificity</title>
      <p>The success of multiplex PCR critically depends on careful primer design to ensure high specificity and avoid cross-reactivity. Padley <italic>et</italic><italic>al.</italic> pioneered species-specific primer sets targeting the 18S rRNA gene, generating amplicons of distinct sizes for <italic>P.</italic><italic>falciparum</italic>, <italic>P.</italic><italic>vivax</italic>, <italic>P.</italic><italic>malariae</italic>, and <italic>P.</italic><italic>ovale</italic> [<xref ref-type="bibr" rid="B9">9</xref>]. Key considerations include targeting conserved but species-discriminatory regions, designing primers with compatible melting temperatures, minimizing primer-primer interactions, and ensuring adequate separation of amplicon sizes for gel-based detection. Failure to meet these criteria often results in preferential amplification of dominant templates or loss of sensitivity for minority species. Given the heterogeneity in validation practices across multiplex PCR studies, we propose a standardized minimum reporting and validation checklist (<bold>Table 1</bold>).</p>
      <p><bold>Table 1</bold><bold>.</bold> Validation checklist for multiplex PCR assays for <italic>Plasmodium</italic> detection in human and mosquito samples.</p>
      <table-wrap id="tbl1">
        <label>Table 1</label>
        <table>
          <tbody>
            <tr>
              <td>
                <bold>Validation</bold>
                <bold>domain</bold>
              </td>
              <td>
                <bold>Key</bold>
                <bold>item</bold>
              </td>
              <td>
                <bold>What</bold>
                <bold>to</bold>
                <bold>report/minimum</bold>
                <bold>requirement</bold>
              </td>
              <td>
                <bold>Why</bold>
                <bold>it</bold>
                <bold>matters</bold>
              </td>
            </tr>
            <tr>
              <td>Assay design</td>
              <td>Target selection</td>
              <td>Gene target(s) (e.g., 18S rRNA), rationale, accession(s) for reference sequences</td>
              <td>Ensures comparability and biological relevance</td>
            </tr>
            <tr>
              <td>Assay design</td>
              <td>Primer/probe sequences</td>
              <td>Full sequences, expected amplicon sizes, Tm/GC%, in silico specificity checks</td>
              <td>Prevents cross-reactivity and mis-priming</td>
            </tr>
            <tr>
              <td>Assay design</td>
              <td>Multiplex compatibility</td>
              <td>
                Primer-dimer assessment; optimization strategy (primer ratios, MgCl
                <sub>2</sub>
                , cycling)
              </td>
              <td>Reduces competition and dropouts in multiplexing</td>
            </tr>
            <tr>
              <td>Controls</td>
              <td>Positive controls</td>
              <td>Species-specific positive controls for each target (Pf, Pm, Po, Pv if included)</td>
              <td>Confirms each channel is functional</td>
            </tr>
            <tr>
              <td>Controls</td>
              <td>Negative controls</td>
              <td>No-template control + extraction blanks + uninfected human/mosquito DNA</td>
              <td>Detects contamination and non-specific amplification</td>
            </tr>
            <tr>
              <td>Controls</td>
              <td>Internal control</td>
              <td>Host gene or exogenous spike-in (when feasible)</td>
              <td>Flags inhibition and extraction failure</td>
            </tr>
            <tr>
              <td>Analytical validation</td>
              <td>Limit of detection (LOD)</td>
              <td>Serial dilutions of quantified material; LOD95 (or defined threshold) per species</td>
              <td>Defines sensitivity, especially for low-density infections</td>
            </tr>
            <tr>
              <td>Analytical validation</td>
              <td>Analytical sensitivity/specificity</td>
              <td>Sensitivity and specificity vs. reference method with 95% CI</td>
              <td>Enables objective performance comparison</td>
            </tr>
            <tr>
              <td>Analytical validation</td>
              <td>Dynamic range</td>
              <td>Range of detectable concentrations; saturation effects</td>
              <td>Supports interpretation across parasitemia levels</td>
            </tr>
            <tr>
              <td>Analytical validation</td>
              <td>Repeatability/reproducibility</td>
              <td>Intra-run and inter-run metrics (≥2 operators/ ≥2 days, when possible)</td>
              <td>Demonstrates robustness</td>
            </tr>
            <tr>
              <td>DNA input &amp; quality</td>
              <td>DNA quantity/purity</td>
              <td>DNA concentration (ng/µL) and purity (A260/280 or equivalent)</td>
              <td>Improves reproducibility across labs</td>
            </tr>
            <tr>
              <td>DNA input &amp; quality</td>
              <td>Inhibition testing</td>
              <td>Dilution/cleanup strategy; inhibition control outcomes</td>
              <td>Avoids false negatives from inhibitors</td>
            </tr>
            <tr>
              <td>Clinical validation</td>
              <td>Sample size</td>
              <td>Adequate n per species and negatives; specify inclusion/exclusion criteria</td>
              <td>Prevents overclaiming from small datasets</td>
            </tr>
            <tr>
              <td>Clinical validation</td>
              <td>Parasite density</td>
              <td>Microscopy parasite density or qPCR estimate; stratify by density</td>
              <td>Links detection to biologically meaningful thresholds</td>
            </tr>
            <tr>
              <td>Clinical validation</td>
              <td>Mixed infections</td>
              <td>Validate on artificial and/or natural mixed infections</td>
              <td>Confirms multiplex advantage and avoids masking</td>
            </tr>
            <tr>
              <td>Entomological validation</td>
              <td>Mosquito species ID</td>
              <td>Morphological + molecular confirmation when needed</td>
              <td>Ensures epidemiologic relevance</td>
            </tr>
            <tr>
              <td>Entomological validation</td>
              <td>Collection context</td>
              <td>Where/how collected (indoor/outdoor, resting/landing, field/colony), season/site</td>
              <td>Affects infection prevalence interpretation</td>
            </tr>
            <tr>
              <td>Entomological validation</td>
              <td>Tissue processed</td>
              <td>Whole body vs midgut vs salivary glands; justify choice</td>
              <td>Distinguishes infection from transmission potential</td>
            </tr>
            <tr>
              <td>Entomological validation</td>
              <td>Stage-specific interpretation</td>
              <td>Clarify what PCR positivity means (DNA signal vs viable parasites)</td>
              <td>Avoids overinterpreting “infectiousness”</td>
            </tr>
            <tr>
              <td>Reporting &amp; transparency</td>
              <td>Full protocol details</td>
              <td>Cycling conditions, reagent brands, gel %/run settings (or qPCR chemistry)</td>
              <td>Enables replication</td>
            </tr>
            <tr>
              <td>Reporting &amp; transparency</td>
              <td>Data reporting</td>
              <td>Handling of weak bands/indeterminate calls; failed amplifications; missing data</td>
              <td>Prevents inflated accuracy estimates</td>
            </tr>
            <tr>
              <td>Reporting &amp; transparency</td>
              <td>Reference standards</td>
              <td>Comparator assay (nested PCR/qPCR) and microscopy definition; blinding if used</td>
              <td>Strengthens credibility</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec id="sec3">
      <title>3. Advantages and Limitations of Multiplex PCR</title>
      <p>Multiplex PCR reduces reagent use and processing time, improves throughput, and enhances detection of mixed infections that are frequently underestimated by microscopy [<xref ref-type="bibr" rid="B10">10</xref>]. These features make it attractive for large-scale surveillance in resource-limited settings. However, multiplexing introduces technical challenges, including primer competition, reduced analytical sensitivity compared with nested PCR or qPCR, and difficulties in balancing amplification efficiency across targets [<xref ref-type="bibr" rid="B11">11</xref>]. Importantly, many studies fail to report critical analytical metrics such as limits of detection (LOD), DNA input concentrations, or assay reproducibility, limiting cross-study comparison and standardization.</p>
    </sec>
    <sec id="sec4">
      <title>4. Gaps in Current Evidence</title>
      <p>A recurring limitation across the literature is the use of small sample sizes, often involving fewer than 20 clinical samples or a handful of mosquito specimens, which undermines statistical robustness [<xref ref-type="bibr" rid="B12">12</xref>]. Parasite densities are rarely quantified prior to molecular testing, despite their strong influence on detection probability. In entomological studies, mosquito species identification, collection methods, tissue specificity (midgut versus salivary glands), and parasite stage are frequently omitted, constraining interpretation of transmission relevance [<xref ref-type="bibr" rid="B13">13</xref>]. Additionally, the exclusion of <italic>P.</italic><italic>vivax</italic> from many multiplex panels substantially reduces global applicability, given its major contribution to malaria burden outside Africa [<xref ref-type="bibr" rid="B14">14</xref>].</p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>Multiplex PCR represents a powerful diagnostic and surveillance tool for malaria, with clear advantages in sensitivity, species discrimination, and detection of mixed infections. However, most published assays—including recent triplex PCR systems—lack rigorous analytical and epidemiological validation. Establishing standardized guidelines for sample size, parasite quantification, LOD determination, and vector sampling is essential before multiplex PCR can be reliably integrated into national malaria surveillance and elimination programs.</p>
    </sec>
    <sec id="sec6">
      <title>Consent for Publication</title>
      <p>All authors’ consent to publication.</p>
    </sec>
    <sec id="sec7">
      <title>Availability of Data and Materials</title>
      <p>Available upon reasonable request. </p>
    </sec>
    <sec id="sec8">
      <title>Funding</title>
      <p>This work was supported by the African Research Initiative for Scientific Excellence (ARISE) grant (ref: ARISE-PP-143) awarded to Dr. Etienne Bilgo. The ARISE project is funded by the European Union and implemented by the African Academy of Sciences, in partnership with the African Union Commission and the European Commission.</p>
    </sec>
    <sec id="sec9">
      <title>Authors’ Contributions</title>
      <p>DFDSH and EB wrote the first draft of the manuscript. All authors read and approved the final manuscript. </p>
    </sec>
  </body>
  <back>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <label>1.</label>
        <citation-alternatives>
          <mixed-citation publication-type="report">World Health Organization (2023) World Malaria Report 2023. WHO.</mixed-citation>
          <element-citation publication-type="report">
            <year>2023</year>
            <article-title>World Malaria Report 2023</article-title>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B2">
        <label>2.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Moody, A. (2002) Rapid Diagnostic Tests for Malaria Parasites. <italic>Clinical</italic><italic>Microbiology</italic><italic>Reviews</italic>, 15, 66-78. https://doi.org/10.1128/cmr.15.1.66-78.2002 <pub-id pub-id-type="doi">10.1128/cmr.15.1.66-78.2002</pub-id><pub-id pub-id-type="pmid">11781267</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1128/cmr.15.1.66-78.2002">https://doi.org/10.1128/cmr.15.1.66-78.2002</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Moody, A.</string-name>
            </person-group>
            <year>2002</year>
            <article-title>Rapid Diagnostic Tests for Malaria Parasites</article-title>
            <source>Clinical Microbiology Reviews</source>
            <volume>15</volume>
            <pub-id pub-id-type="doi">10.1128/cmr.15.1.66-78.2002</pub-id>
            <pub-id pub-id-type="pmid">11781267</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B3">
        <label>3.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Dalrymple, U., <italic>et al.</italic> (2018) Persistent Histidine-Rich Protein 2 Antigenemia after Malaria Treatment. <italic>The Journal of Infectious Diseases</italic>, 217, 1221-1227.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Dalrymple, U.</string-name>
            </person-group>
            <year>2018</year>
            <article-title>Persistent Histidine-Rich Protein 2 Antigenemia after Malaria Treatment</article-title>
            <source>The Journal of Infectious Diseases</source>
            <volume>217</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B4">
        <label>4.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Snounou, G., Viriyakosol, S., Jarra, W., Thaithong, S. and Brown, K.N. (1993) Identification of the Four Human Malaria Parasite Species in Field Samples by the Polymerase Chain Reaction and Detection of a High Prevalence of Mixed Infections. <italic>Molecular and Biochemical Parasitology</italic>, 58, 283-292. https://doi.org/10.1016/0166-6851(93)90050-8 <pub-id pub-id-type="doi">10.1016/0166-6851(93)90050-8</pub-id><pub-id pub-id-type="pmid">8479452</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/0166-6851(93)90050-8">https://doi.org/10.1016/0166-6851(93)90050-8</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Snounou, G.</string-name>
              <string-name>Viriyakosol, S.</string-name>
              <string-name>Jarra, W.</string-name>
              <string-name>Thaithong, S.</string-name>
              <string-name>Brown, K.N.</string-name>
            </person-group>
            <year>1993</year>
            <article-title>Identification of the Four Human Malaria Parasite Species in Field Samples by the Polymerase Chain Reaction and Detection of a High Prevalence of Mixed Infections</article-title>
            <source>Molecular and Biochemical Parasitology</source>
            <volume>6851</volume>
            <issue>93</issue>
            <pub-id pub-id-type="doi">10.1016/0166-6851(93)90050-8</pub-id>
            <pub-id pub-id-type="pmid">8479452</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B5">
        <label>5.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Rougemont, M., Van Saanen, M., Sahli, R., Hinrikson, H.P., Bille, J. and Jaton, K. (2004) Detection of Four <italic>plasmodium</italic> Species in Blood from Humans by 18S rRNA Gene Subunit-Based and Species-Specific Real-Time PCR Assays. <italic>Journal of Clinical</italic><italic>Microbiology</italic>, 42, 5636-5643. https://doi.org/10.1128/jcm.42.12.5636-5643.2004 <pub-id pub-id-type="doi">10.1128/jcm.42.12.5636-5643.2004</pub-id><pub-id pub-id-type="pmid">15583293</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1128/jcm.42.12.5636-5643.2004">https://doi.org/10.1128/jcm.42.12.5636-5643.2004</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Rougemont, M.</string-name>
              <string-name>Saanen, M.</string-name>
              <string-name>Sahli, R.</string-name>
              <string-name>Hinrikson, H.P.</string-name>
              <string-name>Bille, J.</string-name>
              <string-name>Jaton, K.</string-name>
            </person-group>
            <year>2004</year>
            <article-title>Detection of Four plasmodium Species in Blood from Humans by 18S rRNA Gene Subunit-Based and Species-Specific Real-Time PCR Assays</article-title>
            <source>Journal of Clinical Microbiology</source>
            <volume>42</volume>
            <pub-id pub-id-type="doi">10.1128/jcm.42.12.5636-5643.2004</pub-id>
            <pub-id pub-id-type="pmid">15583293</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B6">
        <label>6.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Lucchi, N.W., <italic>et al.</italic> (2012) Loop-Mediated Isothermal Amplification for Malaria Diagnosis. <italic>American Journal of Tropical Medicine and Hygiene</italic>, 87, 451-457.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Lucchi, N.W.</string-name>
            </person-group>
            <year>2012</year>
            <article-title>Loop-Mediated Isothermal Amplification for Malaria Diagnosis</article-title>
            <source>American Journal of Tropical Medicine and Hygiene</source>
            <volume>87</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B7">
        <label>7.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Hofmann, N., Mwingira, F., Shekalaghe, S., Robinson, L.J., Mueller, I. and Felger, I. (2015) Ultra-Sensitive Detection of <italic>Plasmodium falciparum</italic> by Amplification of Multi-Copy Subtelomeric Targets. <italic>PLOS Med</italic><italic>icine</italic>, 12, e1001788. https://doi.org/10.1371/journal.pmed.1001788 <pub-id pub-id-type="doi">10.1371/journal.pmed.1001788</pub-id><pub-id pub-id-type="pmid">25734259</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1371/journal.pmed.1001788">https://doi.org/10.1371/journal.pmed.1001788</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Hofmann, N.</string-name>
              <string-name>Mwingira, F.</string-name>
              <string-name>Shekalaghe, S.</string-name>
              <string-name>Robinson, L.J.</string-name>
              <string-name>Mueller, I.</string-name>
              <string-name>Felger, I.</string-name>
            </person-group>
            <year>2015</year>
            <article-title>Ultra-Sensitive Detection of Plasmodium falciparum by Amplification of Multi-Copy Subtelomeric Targets</article-title>
            <source>PLOS Medicine</source>
            <volume>12</volume>
            <pub-id pub-id-type="doi">10.1371/journal.pmed.1001788</pub-id>
            <pub-id pub-id-type="pmid">25734259</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B8">
        <label>8.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Bass, C., <italic>et al.</italic> (2020) Molecular Tools for Monitoring Malaria Transmission. <italic>Trends in Parasitology</italic>, 36, 1-14.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Bass, C.</string-name>
            </person-group>
            <year>2020</year>
            <article-title>Molecular Tools for Monitoring Malaria Transmission</article-title>
            <source>Trends in Parasitology</source>
            <volume>36</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B9">
        <label>9.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Padley, D., <italic>et al.</italic> (2003) Multiplex PCR for Species Identification of Human Malaria Parasites. <italic>Transactions of the Royal Society of Tropical Medicine and Hygiene</italic>, 97, 664-666.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Padley, D.</string-name>
            </person-group>
            <year>2003</year>
            <article-title>Multiplex PCR for Species Identification of Human Malaria Parasites</article-title>
            <source>Transactions of the Royal Society of Tropical Medicine and Hygiene</source>
            <volume>97</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B10">
        <label>10.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Johnston, S.P., Pieniazek, N.J., Xayavong, M.V., Slemenda, S.B., Wilkins, P.P. and da Silva, A.J. (2006) PCR as a Confirmatory Technique for Laboratory Diagnosis of Malaria. <italic>Journal</italic><italic>of</italic><italic>Clinical</italic><italic>Microbiology</italic>, 44, 1087-1089. https://doi.org/10.1128/jcm.44.3.1087-1089.2006 <pub-id pub-id-type="doi">10.1128/jcm.44.3.1087-1089.2006</pub-id><pub-id pub-id-type="pmid">16517900</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1128/jcm.44.3.1087-1089.2006">https://doi.org/10.1128/jcm.44.3.1087-1089.2006</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Johnston, S.P.</string-name>
              <string-name>Pieniazek, N.J.</string-name>
              <string-name>Xayavong, M.V.</string-name>
              <string-name>Slemenda, S.B.</string-name>
              <string-name>Wilkins, P.P.</string-name>
              <string-name>Silva, A.J.</string-name>
            </person-group>
            <year>2006</year>
            <article-title>PCR as a Confirmatory Technique for Laboratory Diagnosis of Malaria</article-title>
            <source>Journal of Clinical Microbiology</source>
            <volume>44</volume>
            <pub-id pub-id-type="doi">10.1128/jcm.44.3.1087-1089.2006</pub-id>
            <pub-id pub-id-type="pmid">16517900</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B11">
        <label>11.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Markoulatos, P., Siafakas, N. and Moncany, M. (2002) Multiplex Polymerase Chain Reaction: A Practical Approach. <italic>Journal</italic><italic>of</italic><italic>Clinical</italic><italic>Laboratory</italic><italic>Analysis</italic>, 16, 47-51. https://doi.org/10.1002/jcla.2058 <pub-id pub-id-type="doi">10.1002/jcla.2058</pub-id><pub-id pub-id-type="pmid">11835531</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/jcla.2058">https://doi.org/10.1002/jcla.2058</ext-link></mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Markoulatos, P.</string-name>
              <string-name>Siafakas, N.</string-name>
              <string-name>Moncany, M.</string-name>
            </person-group>
            <year>2002</year>
            <article-title>Multiplex Polymerase Chain Reaction: A Practical Approach</article-title>
            <source>Journal of Clinical Laboratory Analysis</source>
            <volume>16</volume>
            <pub-id pub-id-type="doi">10.1002/jcla.2058</pub-id>
            <pub-id pub-id-type="pmid">11835531</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B12">
        <label>12.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Bousema, T., Okell, L., Felger, I. and Drakeley, C. (2014) Asymptomatic Malaria Infections: Detectability, Transmissibility and Public Health Relevance. <italic>Natu</italic><italic>re</italic><italic>Reviews</italic><italic>Microbiology</italic>, 12, 833-840. https://doi.org/10.1038/nrmicro3364 <pub-id pub-id-type="doi">10.1038/nrmicro3364</pub-id><pub-id pub-id-type="pmid">25329408</pub-id><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1038/nrmicro3364">https://doi.org/10.1038/nrmicro3364</ext-link></mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Bousema, T.</string-name>
              <string-name>Okell, L.</string-name>
              <string-name>Felger, I.</string-name>
              <string-name>Drakeley, C.</string-name>
              <string-name>Detectability, T</string-name>
            </person-group>
            <year>2014</year>
            <article-title>Asymptomatic Malaria Infections: Detectability, Transmissibility and Public Health Relevance</article-title>
            <source>Nature Reviews Microbiology</source>
            <volume>12</volume>
            <pub-id pub-id-type="doi">10.1038/nrmicro3364</pub-id>
            <pub-id pub-id-type="pmid">25329408</pub-id>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B13">
        <label>13.</label>
        <citation-alternatives>
          <mixed-citation publication-type="journal">Beier, J.C., <italic>et al.</italic> (2006) Entomological Inoculation Rates and Malaria Transmission. <italic>American Journal of Tropical Medicine and Hygiene</italic>, 75, 131-137.</mixed-citation>
          <element-citation publication-type="journal">
            <person-group person-group-type="author">
              <string-name>Beier, J.C.</string-name>
            </person-group>
            <year>2006</year>
            <article-title>Entomological Inoculation Rates and Malaria Transmission</article-title>
            <source>American Journal of Tropical Medicine and Hygiene</source>
            <volume>75</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
      <ref id="B14">
        <label>14.</label>
        <citation-alternatives>
          <mixed-citation publication-type="other">Battle, K.E., <italic>et al.</italic> (2019) Global Epidemiology of <italic>Plasmodium</italic><italic>vivax</italic>. <italic>The Lancet Infectious Diseases</italic>, 19, 105-120.</mixed-citation>
          <element-citation publication-type="other">
            <person-group person-group-type="author">
              <string-name>Battle, K.E.</string-name>
            </person-group>
            <year>2019</year>
            <article-title>Global Epidemiology of Plasmodium vivax</article-title>
            <source>The Lancet Infectious Diseases</source>
            <volume>19</volume>
          </element-citation>
        </citation-alternatives>
      </ref>
    </ref-list>
  </back>
</article>