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<article article-type="review-article" dtd-version="1.0" xml:lang="en"
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    <front>
        <journal-meta>
            <journal-id journal-id-type="issn">0973-7510</journal-id>
            <journal-title-group>
                <journal-title>Journal of Pure and Applied Microbiology</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2581-690X</issn>
            <publisher>
                <publisher-name>DR. M.N. Khan</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.22207/JPAM.20.4.07</article-id>
            <title-group>
                <article-title>Whole-Genome Sequencing vs. Conventional Molecular Methods in Hospital Bacterial Outbreak Investigations: A Rapid Review of Time to Resolution</article-title>
            </title-group>
 
			<contrib-group>


				<contrib contrib-type="author">
                    <name>
                        <surname>Ong</surname>
                        <given-names>David Toffler</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff-1"/>
                </contrib>
				
			</contrib-group>


                    <aff id="aff-1">Department of Microbiology and Parasitology, Faculty of Medicine, Widya Mandala Catholic University Jl. Raya Kalisari Selatan No. 1, Pakuwon City, Mulyorejo, Surabaya, East Java – 60112, Indonesia.</aff>


            <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-10-12">
                <day>12</day>
				<month>10</month>
                <year>2026</year>
            </pub-date>
            <volume></volume>
            <issue></issue>
            <fpage></fpage>
            <lpage></lpage>
            <permissions>
                <copyright-statement>Copyright &#x00A9; 2026 The Author(s)</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license license-type="open-access"
                    xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.<uri
					xlink:href="https://creativecommons.org/licenses/by/4.0/"
                            >https://creativecommons.org/licenses/by/4.0/</uri></license-p>
                </license>
            </permissions>
            <self-uri xlink:href="https://microbiologyjournal.org/whole-genome-sequencing-vs-conventional-molecular-methods-in-hospital-bacterial-outbreak-investigations-a-rapid-review-of-time-to-resolution/"/>
            <abstract>
                <p>Bacterial outbreaks have been a major threat throughout human history. Whole genome sequencing (WGS) is an emerging technology that reveals a wealth of information, and its use in epidemiologic surveillance has increased over the years. This rapid review aims to compare WGS with conventional molecular typing methods in hospital outbreak investigations, focusing on their impact on the duration of the outbreaks. This study performed a rapid systematic review from the PubMed database, following PRISMA guidelines. Searches were performed using combinations of Medical Subject Headings (MeSH) and free-text terms and were limited to studies published in English and involving human subjects from 2016-2026. The WGS usage (classified as intervention and non-intervention groups) and outbreak duration were analyzed with the Mann-Whitney U test and adjusted for covariates using linear regression. Duration of the outbreak was further categorized and analyzed with ordinal regression. The database search process yielded 358 articles, 34 of which consisted of 35 outbreak cases included in this study. The median outbreak duration was shorter in the intervention group (5 months; range 1-37) compared with the non-intervention group (14 months; range 2-82). In both adjusted and non-adjusted analyses, WGS-guided intervention was not significantly associated with shorter outbreak duration (b = -0.170; 95% CI -1.01 to 0.244; P = 0.222). While WGS enhances epidemiological resolution, current evidence remains insufficient to conclusively determine whether its implementation shortens hospital outbreak duration.</p></abstract>
		<kwd-group>
        <title>Keywords</title>
        <kwd>Hospital-Outbreak</kwd>
        <kwd>WGS</kwd>
        <kwd>Outbreak-Duration</kwd>
        <kwd>Conventional-Typing</kwd>
        <kwd>Rapid Review</kwd>
		</kwd-group>
</article-meta>
</front>
</article>