UMMS Affiliation

Department of Surgery

Publication Date


Document Type



Diagnosis | Epidemiology | Health Services Administration | Immunology and Infectious Disease | Infectious Disease | Microbiology | Virus Diseases


One of the most effective ways to prevent the spread of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is to develop accurate and rapid diagnostic tests. There are a number of molecular, serological, and imaging methods that are used to diagnose this infection in hospitals and clinical settings. The purpose of this review paper is to present the available approaches for detecting SARS-CoV-2 and address the advantages and limitations of each detection method. This work includes studies from recent literature publications along with information from the manufacturer's manuals of commercially available SARS-CoV-2 diagnostic products. Furthermore, supplementary information from the Food and Drug Administration (FDA), Centers for Disease Control and Prevention (CDC), and World Health Organization (WHO) is cited. The viral components targeted for virus detection, the principles of each diagnostic technique, and the detection efficiency of each approach are discussed. The potential of using diagnostic tests that were originally developed for previous epidemic viruses is also presented.


COVID-19, SARS-CoV-2, diagnostic tests, disease detection, viral infections

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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (

DOI of Published Version



Nguyen NNT, McCarthy C, Lantigua D, Camci-Unal G. Development of Diagnostic Tests for Detection of SARS-CoV-2. Diagnostics (Basel). 2020 Nov 5;10(11):905. doi: 10.3390/diagnostics10110905. PMID: 33167445; PMCID: PMC7694548. Link to article on publisher's site

Journal/Book/Conference Title

Diagnostics (Basel, Switzerland)

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PubMed ID


Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.