About: Laboratory Diagnosis of Coronavirus Disease-2019 (COVID-19)

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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	Laboratory Diagnosis of Coronavirus Disease-2019 (COVID-19)
Creator	Wang, Yunfeng Li, Chenxi Zhao, Chengxue Tang, Bo Tang, B Wang, Y Li, C Gu, Bing Zhao, C Bao, J Bao, Jingfeng Gu, B Wang, Wayne
Source	Elsevier; Medline; PMC
abstract	Abstract The outbreak of Coronavirus Disease-2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has threatened health worldwide. As of the end of 2020, there were nearly 10 million confirmed cases and nearly 5 million deaths associated with COVID-19. Rapid and early laboratory diagnosis of COVID-19 is the main focus of treatment and control. Molecular tests are the basis for confirmation of COVID-19, but serological tests for SARS-CoV-2 are widely available and play an increasingly important role in understanding the epidemiology of the virus and in identifying populations at higher risk for infection. Point-of-care tests have the advantage of rapid, accurate, portable, low cost and non-specific device requirements, which provide great help for disease diagnosis and detection. This review will discuss the performance of different laboratory diagnostic tests and platforms, as well as suitable clinical samples for testing, and related biosafety protection. This review shall guide for the diagnosis of COVID-19 caused by SARS-CoV-2.
has issue date	2020-07-02(xsd:dateTime)
bibo:doi	10.1016/j.cca.2020.06.045
bibo:pmid	32621814
has license	els-covid
sha1sum (hex)	d0989413983a773fd446319495b14d5b951894e2
schema:url	https://doi.org/10.1016/j.cca.2020.06.045
resource representing a document's title	Laboratory Diagnosis of Coronavirus Disease-2019 (COVID-19)
has PubMed Central identifier	PMC7329657
has PubMed identifier	32621814
schema:publication	Clin Chim Acta
resource representing a document's body	covid:d0989413983a773fd446319495b14d5b951894e2#body_text
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