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10.1021/acsnano.0c02624

http://scihub22266oqcxt.onion/10.1021/acsnano.0c02624
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C7144809!7144809!32223179
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suck abstract from ncbi


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pmid32223179      ACS+Nano ä ; ä (ä): ä
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  • Diagnosing COVID-19: The Disease and Tools for Detection #MMPMID32223179
  • Udugama B; Kadhiresan P; Kozlowski HN; Malekjahani A; Osborne M; Li VYC; Chen H; Mubareka S; Gubbay JB; Chan WCW
  • ACS Nano ä[]; ä (ä): ä PMID32223179show ga
  • COVID-19 has spread globally since its discovery in Hubei province, China in December 2019. A combination of computed tomography imaging, whole genome sequencing, and electron microscopy were initially used to screen and identify SARS-CoV-2, the viral etiology of COVID-19. The aim of this review article is to inform the audience of diagnostic and surveillance technologies for SARS-CoV-2 and their performance characteristics. We describe point-of-care diagnostics that are on the horizon and encourage academics to advance their technologies beyond conception. Developing plug-and-play diagnostics to manage the SARS-CoV-2 outbreak would be useful in preventing future epidemics.
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