KCL TEST: an open-source inspired asymptomatic SARS-CoV-2 surveillance programme in an academic institution

Joana Andrade,Edward J. Scourfield, S. Peswani-Sajnani,Kate Poulton, Tom ap Rees,Paniz Khooshemehri,George Doherty, Sim‐Heng Ong, Iulia Ivan, Navid Goudarzi, Iain Gardiner, Eric D. Caine,Thomas Maguire,Daniel Leightley, Lorena Torrico, Albert Gasulla, Amanda Tan, Anne Griffin,Stelios Papaioannou, Charlotte Trouillet,Hannah E. Mischo,Victoriano Giralt, Sloan J. Wilson, Michael Kirk, Jane Martindale, Carmel Curtis,Mark Zuckerman,Reza Razavi,Michael H. Malim,Rocío T. Martínez-Nuñez

medRxiv (Cold Spring Harbor Laboratory)(2023)

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摘要
Objectives: To establish a SARS-CoV-2 PCR testing programme in an academic institution to analyze saliva samples collected from asymptomatic staff and students. Design: PCR to detect SARS-CoV-2 RNA in saliva self-collected by asymptomatic students and staff members from King′s College London, and their household contacts. Standards for diagnostics testing set by the DHSC (UK) were followed to develop an automated saliva PCR service for SARS-CoV-2 detection. Prospective study that run from December 2020 until July 2022. Setting: Testing took place in an academic institution including 18 different locations in London (UK). Participants: There were no selection criteria; asymptomatic participants were encouraged to test regularly (twice weekly when on campus). Main outcome measures: Number of tests, number of participants and positive rate. Results: 158,277 PCR tests were carried out on saliva, of which 2,989 were positive (1.89%), collected by 20,186 participants. Between 10-30% of campus footfall were tested. The positive rate was equivalent to that reported by the Office for National Statistics (UK), except for the period encompassing the delta variant; this wave was nearly absent in our cohort. We employed non-commercial reagents and an open source-inspired automated pipeline for sample processing. This rapidly developed service was awarded UKAS accreditation under the ISO15189 standard. Conclusions: Including academic institutions in pandemic preparedness is a critical consideration, considering the experience in developing, validating, and implementing economic and scalable testing solutions. Given the joint ventures in hospital pathology departments across the UK and the move to centralised, automated, commercial tests, focusing on academic centres that can carry out research and development to test for novel and re-emerging pathogens should be a top priority.
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surveillance,open-source,sars-cov
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