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Diagnosing COVID-19: The Disease and Tools for Detection

Buddhisha Udugama, Pranav Kadhiresan, H Kozłowski, Ayden Malekjahani, Matthew Osborne, Vanessa Y. C. Li, Hongmin Chen, Samira Mubareka, Jonathan B. Gubbay, Warren C. W. Chan

2020ACS Nano1,840 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Outbreak2019-20 coronavirus outbreakPoint of carePoint-of-care testingData scienceVirologyPandemicDiseaseComputer scienceComputational biologyMedicineBiologyInfectious disease (medical specialty)PathologySARS-CoV-2 detection and testingCOVID-19 diagnosis using AISARS-CoV-2 and COVID-19 Research
Diagnosing COVID-19: The Disease and Tools for Detection | Litcius