Diagnosing COVID-19: The Disease and Tools for Detection
University of Toronto · Sunnybrook Health Science Centre · +3 more institutions
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.
Citation impact
- FWCI
- 41.31
- Percentile
- 100%
- References
- 110
Authors
10Topics & keywords
- Coronavirus disease 2019 (COVID-19)
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Outbreak
- 2019-20 coronavirus outbreak
- Point of care
- Point-of-care testing
- Data science
- Virology
- Good health and well-being