Diagnosing COVID-19: The Disease and Tools for Detection

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

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1380 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)3822-3835
Number of pages14
JournalACS Nano
Volume14
Issue number4
DOIs
Publication statusPublished - Apr 28 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 American Chemical Society.

ASJC Scopus Subject Areas

  • General Materials Science
  • General Engineering
  • General Physics and Astronomy

Keywords

  • COVID-19
  • diagnostics
  • pandemic
  • PCR
  • SARS-CoV-2
  • surveillance

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