About: A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities

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About: A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities
Creator	Goodfellow, Ian Parmar, Surendra Baker, Stephen Dougan, Gordon Curran, Martin Weekes, Michael Forrest, Sally Kean, Iain Maes, Mailis Pereira-Dias, Joana Rivett, Lucy Routledge, Matthew Scott, Josefin Sridhar, Sushmita Young, Jamie
Source	BioRxiv
abstract	The COVID-19 pandemic is expanding at an unprecedented rate. As a result, diagnostic services are stretched to their limit, and there is a clear need for the provision of additional diagnostic capacity. Academic laboratories, many of which are closed due to governmental lockdowns, may be in a position to support local screening capacity by adapting their current laboratory practices. Here, we describe the process of developing a SARS-Cov2 diagnostic workflow in a conventional academic Containment Level 2 (CL2) laboratory. Our outline includes simple SARS-Cov2 deactivation upon contact, the methods for a quantitative real-time reverse transcriptase PCR (qRT-PCR) detecting SARS-Cov2, a description of process establishment and validation, and some considerations for establishing a similar workflow elsewhere. This was achieved under challenging circumstances through the collaborative efforts of scientists, clinical staff, and diagnostic staff to mitigate to the ongoing crisis. Within 14 days, we created a validated COVID-19 diagnostics service for healthcare workers in our local hospital. The described methods are not exhaustive, but we hope may offer support to other academic groups aiming to set up something comparable in a short time frame.
has issue date	2020-04-17(xsd:dateTime)
bibo:doi	10.1101/2020.04.14.041319
has license	biorxiv
sha1sum (hex)	b4c878af3c4105f9b5cbf4c31c63a5f713fe3d8e
schema:url	https://doi.org/10.1101/2020.04.14.041319
resource representing a document's title	A blueprint for the implementation of a validated approach for the detection of SARS-Cov2 in clinical samples in academic facilities
schema:publication	bioRxiv
resource representing a document's body	covid:b4c878af3c4105f9b5cbf4c31c63a5f713fe3d8e#body_text
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