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.

Keywords

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)Pathology

MeSH Terms

BetacoronavirusCOVID-19COVID-19 TestingClinical Laboratory TechniquesCoronavirus InfectionsHumansMobile ApplicationsNucleic Acid Amplification TechniquesPandemicsPneumoniaViralPoint-of-Care TestingPopulation SurveillanceReal-Time Polymerase Chain ReactionSARS-CoV-2SmartphoneTomographyX-Ray ComputedViral Proteins

Affiliated Institutions

Related Publications

Publication Info

Year
2020
Type
review
Volume
14
Issue
4
Pages
3822-3835
Citations
1810
Access
Closed

External Links

Download PDF (Free) View on DOI.org PubMed Semantic Scholar

Social Impact

Altmetric
PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

1810
OpenAlex
80
Influential
1452
CrossRef

Cite This

Buddhisha Udugama, Pranav Kadhiresan, H Kozłowski et al. (2020). Diagnosing COVID-19: The Disease and Tools for Detection. ACS Nano , 14 (4) , 3822-3835. https://doi.org/10.1021/acsnano.0c02624

Identifiers

DOI
10.1021/acsnano.0c02624
PMID
32223179
PMCID
7144809

Data Quality

Data completeness: 90%