About: Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

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About: Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
Creator	Malik, Peiris Mulders, Daphne Richard, Molenkamp Schmidt, Marie Kw, Chu Adam, Meijer Bleicker¹, Tobias Brünink¹, Sebastian Chantal, Reusken Chu⁵, Daniel Corman¹, Victor Drosten¹, Christian Ellis⁷, Joanna Gabriel, Goderski Gjc, Bart Goderski⁴, Gabriel Goossens⁸, Herman Haagmans³, Bart Herman, Goossens Joanna, Ellis Julia, Schneider Kaiser², Marco Koopmans, Koopmans³, Marion Landt², Olfert Lisa, Wijsman Luisa, Marco, Kaiser Maria, Zambon Meijer⁴, Adam Molenkamp³, Richard Mulders³, Daphne Olfert, Landt Peiris⁵, Malik Reusken⁴, Chantal Romette⁶, Jean-Louis Schmidt¹, Marie Schneider¹, Julia Sebastian, Brünink Tobias, Bleicker Van Den Brink, Sharon Van Den Brink⁴, Sharon Van Der Veer Bas, Van Der Veer⁴, Bas Victor, Corman Wijsman⁴, Lisa Zambon⁷, Maria
Source	Medline; PMC
abstract	BACKGROUND: The ongoing outbreak of the recently emerged novel coronavirus (2019-nCoV) poses a challenge for public health laboratories as virus isolates are unavailable while there is growing evidence that the outbreak is more widespread than initially thought, and international spread through travellers does already occur. AIM: We aimed to develop and deploy robust diagnostic methodology for use in public health laboratory settings without having virus material available. METHODS: Here we present a validated diagnostic workflow for 2019-nCoV, its design relying on close genetic relatedness of 2019-nCoV with SARS coronavirus, making use of synthetic nucleic acid technology. RESULTS: The workflow reliably detects 2019-nCoV, and further discriminates 2019-nCoV from SARS-CoV. Through coordination between academic and public laboratories, we confirmed assay exclusivity based on 297 original clinical specimens containing a full spectrum of human respiratory viruses. Control material is made available through European Virus Archive – Global (EVAg), a European Union infrastructure project. CONCLUSION: The present study demonstrates the enormous response capacity achieved through coordination of academic and public laboratories in national and European research networks.
has issue date	2020-01-23(xsd:dateTime)
bibo:doi	10.2807/1560-7917.es.2020.25.3.2000045
bibo:pmid	31992387
has license	cc-by
sha1sum (hex)	ee6e4fcb9272a59d35f6ec53be5a8cff4d8c0b21
schema:url	https://doi.org/10.2807/1560-7917.es.2020.25.3.2000045
resource representing a document's title	Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR
has PubMed Central identifier	PMC6988269
has PubMed identifier	31992387
schema:publication	Euro Surveill
resource representing a document's body	covid:ee6e4fcb9272a59d35f6ec53be5a8cff4d8c0b21#body_text
is schema:about of	named entity 'ongoing' named entity 'Aim' named entity 'evidence' named entity 'national' named entity 'Methods' named entity 'SARS-CoV' named entity 'travellers' named entity '2019-nCoV' named entity 'GENETIC RELATEDNESS' named entity 'OUTBREAK' named entity '297' named entity 'PUBLIC' named entity 'MATERIAL' named entity 'CLOSE' named entity 'RECENTLY' named entity 'RESEARCH' named entity 'RESULTS' named entity 'VIRUS' named entity 'ARCHIVE' named entity 'TECHNOLOGY' named entity 'CONTAINING' named entity 'ROBUST' named entity 'HUMAN' named entity 'DOES' named entity 'ASSAY' named entity 'RESPONSE' named entity 'NETWORKS' named entity 'WORKFLOW' named entity 'CONFIRMED' named entity 'ITS' named entity 'CHALLENGE' named entity 'ORIGINAL' named entity 'CONCLUSION' named entity 'DIAGNOSTIC' named entity 'HERE'

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