Author: Udugama, Buddhisha; Kadhiresan, Pranav; Kozlowski, Hannah N.; Malekjahani, Ayden; Osborne, Matthew; Li, Vanessa Y. C.; Chen, Hongmin; Mubareka, Samira; Gubbay, Jonathan B.; Chan, Warren C. W.
Title: Diagnosing COVID-19: The Disease and Tools for Detection Cord-id: 53elkc79 Document date: 2020_3_30
ID: 53elkc79
Snippet: [Image: see text] 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
Document: [Image: see text] 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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