Variation of positiveness to enhance testing of specimens during an epidemic

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This paper proposes a sample mixing method to enhance epidemic testing efficiency by orders of magnitude while identifying all positives with no false negatives.

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This preprint studied an approach to improve rapid testing throughput during an epidemic by using combined (pooled) specimens arranged in a specific configuration rather than testing each specimen individually, and by accounting for natural variation in test “positiveness” within infected patients. Using numerical tests for actual scenarios under various testing setups, the authors report that pooling can increase the number of tests by orders of magnitude while still identifying all positives without false negatives, and can reduce effective testing time even when uncertainty in the test is relatively high. A key caveat is that the work is presented as preprint and relies on numerical simulations rather than peer-reviewed experimental or clinical validation. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Rapid testing of appropriate specimens from patients suspected for a disease during an epidemic, such as the current Coronavirus outbreak, is of a great importance for the disease management and control. We propose a method to enhance processing large amounts of collected samples. The method is based on mixing samples in testing tubes in a specific configuration, as opposed to testing single samples in each tube, and accounting for natural virus amounts in infected patients from variation of positiveness in test tubes. To illustrate the efficiency of the suggested method we carry out numerical tests for actual scenarios under various tests. Applying the proposed method enhances the number of tests by order of magnitudes, where all positives are identified with no false negatives, and the effective testing time can be reduced drastically even when the uncertainty in the test is relatively high.
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We propose a method to enhance processing large amounts of collected samples. The method is based on mixing samples in testing tubes in a specific configuration, as opposed to testing single samples in each tube, and accounting for natural virus amounts in infected patients from variation of positiveness in test tubes. To illustrate the efficiency of the suggested method we carry out numerical tests for actual scenarios under various tests. Applying the proposed method enhances the number of tests by order of magnitudes, where all positives are identified with no false negatives, and the effective testing time can be reduced drastically even when the uncertainty in the test is relatively high. Applied Mathematics Infectious Diseases epidemic mathematical model rapid testing combined sample testing Figures Figure 1 Figure 2 Full Text Supplementary Files Supplementaryinformation.pdf Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-28144","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":563643,"identity":"4c525538-e967-4f23-91ca-c2a410bcb59c","order_by":1,"name":"Usama Kadri","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2ElEQVRIie3RPQrCMByH4V8RnAJdUwrtFVK6+nGVlEInB6EgjoKgo2vASygF50DW0B7AycXJoW6OmuomxI4OeZdkeZL8CeBy/WEUYOAYmT2Ty27FoA8p3kQXfQmgOoJeJNiqU3vZNLG/V0cpOWJ/RVJmIyEpSpFtzomoi7khiZAk5TYSYZbiRTg0Yer+gHcASaWV+DdDah6/iLll+pOEtLtFcvYhmSHWhwXiWoLXeXLUQzMLzYUaltbxaZNX3mMxiSM9qFrJR+Pddl1RG/k64tevuFwul6tPTwVfSUDr1SfaAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0002-5441-1812","institution":"Cardiff University, School of Mathema","correspondingAuthor":true,"prefix":"","firstName":"Usama","middleName":"","lastName":"Kadri","suffix":""}],"badges":[],"createdAt":"2020-05-08 19:37:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-28144/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-28144/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":1069109,"identity":"4eac73af-1738-4e84-a9a8-71b8f0d3a235","added_by":"auto","created_at":"2020-05-11 14:16:16","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":283234,"visible":true,"origin":"","legend":"Fixed number of positives. 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