KCL TEST: an open-source inspired asymptomatic SARS-CoV-2 surveillance programme in an academic institution
Rapid and accessible testing was paramount in the management of the COVID-19 pandemic. Our university established KCL TEST: a SARS-CoV-2 asymptomatic testing programme that enabled sensitive and accessible PCR testing of SARS-CoV-2 RNA in saliva. Here, we describe our learnings and provide our bluep...
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creator | Reis de Andrade, Joana Scourfield, Edward Peswani-Sajnani, Shilpa Lekhraj Poulton, Kate Ap Rees, Thomas Khooshemehri, Paniz Doherty, George Ong, Stephanie Ivan, Iustina-Francisca Goudarzi, Negin Gardiner, Isaac Caine, Estelle Maguire, Thomas J A Leightley, Daniel Torrico, Luis Gasulla, Alex Menendez-Vazquez, Angel Ortega-Prieto, Ana Maria Pickering, Suzanne Jimenez-Guardeño, Jose M Batra, Rahul Rubinchik, Sona Tan, Aaron V F Griffin, Amy Sherrin, David Papaioannou, Stelios Trouillet, Celine Mischo, Hannah E Giralt, Victoriano Wilson, Samantha Kirk, Martin Neil, Stuart J D Galao, Rui Pedro Martindale, Jo Curtis, Charles Zuckerman, Mark Razavi, Reza Malim, Michael H Martinez-Nunez, Rocio T |
description | Rapid and accessible testing was paramount in the management of the COVID-19 pandemic. Our university established KCL TEST: a SARS-CoV-2 asymptomatic testing programme that enabled sensitive and accessible PCR testing of SARS-CoV-2 RNA in saliva. Here, we describe our learnings and provide our blueprint for launching diagnostic laboratories, particularly in low-resource settings. Between December 2020 and July 2022, we performed 158277 PCRs for our staff, students, and their household contacts, free of charge. Our average turnaround time was 16 h and 37 min from user registration to result delivery. KCL TEST combined open-source automation and in-house non-commercial reagents, which allows for rapid implementation and repurposing. Importantly, our data parallel those of the UK Office for National Statistics, though we detected a lower positive rate and virtually no delta wave. Our observations strongly support regular asymptomatic community testing as an important measure for decreasing outbreaks and providing safe working spaces. Universities can therefore provide agile, resilient, and accurate testing that reflects the infection rate and trend of the general population. Our findings call for the early integration of academic institutions in pandemic preparedness, with capabilities to rapidly deploy highly skilled staff, as well as develop, test, and accommodate efficient low-cost pipelines. |
doi_str_mv | 10.1093/biomethods/bpae046 |
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Our university established KCL TEST: a SARS-CoV-2 asymptomatic testing programme that enabled sensitive and accessible PCR testing of SARS-CoV-2 RNA in saliva. Here, we describe our learnings and provide our blueprint for launching diagnostic laboratories, particularly in low-resource settings. Between December 2020 and July 2022, we performed 158277 PCRs for our staff, students, and their household contacts, free of charge. Our average turnaround time was 16 h and 37 min from user registration to result delivery. KCL TEST combined open-source automation and in-house non-commercial reagents, which allows for rapid implementation and repurposing. Importantly, our data parallel those of the UK Office for National Statistics, though we detected a lower positive rate and virtually no delta wave. Our observations strongly support regular asymptomatic community testing as an important measure for decreasing outbreaks and providing safe working spaces. Universities can therefore provide agile, resilient, and accurate testing that reflects the infection rate and trend of the general population. Our findings call for the early integration of academic institutions in pandemic preparedness, with capabilities to rapidly deploy highly skilled staff, as well as develop, test, and accommodate efficient low-cost pipelines.</description><identifier>ISSN: 2396-8923</identifier><identifier>EISSN: 2396-8923</identifier><identifier>DOI: 10.1093/biomethods/bpae046</identifier><identifier>PMID: 38993523</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Methods</subject><ispartof>Biology methods and protocols, 2024, Vol.9 (1), p.bpae046</ispartof><rights>The Author(s) 2024. Published by Oxford University Press.</rights><rights>The Author(s) 2024. Published by Oxford University Press. 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c284t-2117ba0350a9fa26fe2a829843c2d5ae8dde4697c7c97c688ea30dc2f13dffd43</cites><orcidid>0000-0002-9023-0103 ; 0000-0003-1034-4926 ; 0000-0003-1065-3008 ; 0000-0002-1726-8033 ; 0000-0003-2507-4738</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11238426/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11238426/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,4010,27900,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38993523$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Reis de Andrade, Joana</creatorcontrib><creatorcontrib>Scourfield, Edward</creatorcontrib><creatorcontrib>Peswani-Sajnani, Shilpa Lekhraj</creatorcontrib><creatorcontrib>Poulton, Kate</creatorcontrib><creatorcontrib>Ap Rees, Thomas</creatorcontrib><creatorcontrib>Khooshemehri, Paniz</creatorcontrib><creatorcontrib>Doherty, George</creatorcontrib><creatorcontrib>Ong, Stephanie</creatorcontrib><creatorcontrib>Ivan, Iustina-Francisca</creatorcontrib><creatorcontrib>Goudarzi, Negin</creatorcontrib><creatorcontrib>Gardiner, Isaac</creatorcontrib><creatorcontrib>Caine, Estelle</creatorcontrib><creatorcontrib>Maguire, Thomas J A</creatorcontrib><creatorcontrib>Leightley, Daniel</creatorcontrib><creatorcontrib>Torrico, Luis</creatorcontrib><creatorcontrib>Gasulla, Alex</creatorcontrib><creatorcontrib>Menendez-Vazquez, Angel</creatorcontrib><creatorcontrib>Ortega-Prieto, Ana Maria</creatorcontrib><creatorcontrib>Pickering, Suzanne</creatorcontrib><creatorcontrib>Jimenez-Guardeño, Jose M</creatorcontrib><creatorcontrib>Batra, Rahul</creatorcontrib><creatorcontrib>Rubinchik, Sona</creatorcontrib><creatorcontrib>Tan, Aaron V F</creatorcontrib><creatorcontrib>Griffin, Amy</creatorcontrib><creatorcontrib>Sherrin, David</creatorcontrib><creatorcontrib>Papaioannou, Stelios</creatorcontrib><creatorcontrib>Trouillet, Celine</creatorcontrib><creatorcontrib>Mischo, Hannah E</creatorcontrib><creatorcontrib>Giralt, Victoriano</creatorcontrib><creatorcontrib>Wilson, Samantha</creatorcontrib><creatorcontrib>Kirk, Martin</creatorcontrib><creatorcontrib>Neil, Stuart J D</creatorcontrib><creatorcontrib>Galao, Rui Pedro</creatorcontrib><creatorcontrib>Martindale, Jo</creatorcontrib><creatorcontrib>Curtis, Charles</creatorcontrib><creatorcontrib>Zuckerman, Mark</creatorcontrib><creatorcontrib>Razavi, Reza</creatorcontrib><creatorcontrib>Malim, Michael H</creatorcontrib><creatorcontrib>Martinez-Nunez, Rocio T</creatorcontrib><title>KCL TEST: an open-source inspired asymptomatic SARS-CoV-2 surveillance programme in an academic institution</title><title>Biology methods and protocols</title><addtitle>Biol Methods Protoc</addtitle><description>Rapid and accessible testing was paramount in the management of the COVID-19 pandemic. Our university established KCL TEST: a SARS-CoV-2 asymptomatic testing programme that enabled sensitive and accessible PCR testing of SARS-CoV-2 RNA in saliva. Here, we describe our learnings and provide our blueprint for launching diagnostic laboratories, particularly in low-resource settings. Between December 2020 and July 2022, we performed 158277 PCRs for our staff, students, and their household contacts, free of charge. Our average turnaround time was 16 h and 37 min from user registration to result delivery. KCL TEST combined open-source automation and in-house non-commercial reagents, which allows for rapid implementation and repurposing. Importantly, our data parallel those of the UK Office for National Statistics, though we detected a lower positive rate and virtually no delta wave. Our observations strongly support regular asymptomatic community testing as an important measure for decreasing outbreaks and providing safe working spaces. Universities can therefore provide agile, resilient, and accurate testing that reflects the infection rate and trend of the general population. 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subjects | Methods |
title | KCL TEST: an open-source inspired asymptomatic SARS-CoV-2 surveillance programme in an academic institution |
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