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Potential Diagnostic Systems for Coronavirus Detection: a Critical Review
Elena Ekrami1, Mahdi Pouresmaieli1, Fatemeh Barati1
1Department of Industrial and Environmental Biotechnology, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Biological Procedures Online
|September 5, 2020
Summary
Accurate and rapid detection of SARS-CoV-2 is crucial due to the lack of effective antiviral drugs. This review explores current virus detection methods and proposes new strategies for improved COVID-19 diagnosis and surveillance.
Area of Science:
- Virology
- Infectious Diseases
- Diagnostic Technologies
Background:
- Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causes COVID-19, a highly contagious disease with nonspecific symptoms.
- Current diagnostic methods for SARS-CoV-2 are insufficient, necessitating the development of precise and rapid tests.
- Effective antiviral treatments for SARS-CoV-2 are not yet available, emphasizing the importance of early detection.
Purpose of the Study:
- To review existing virus detection methods applicable to SARS-CoV-2.
- To propose novel strategies and identify potential samples for enhanced SARS-CoV-2 detection.
- To address the urgent need for accurate diagnostic tools for COVID-19.
Main Methods:
- Literature review of current SARS-CoV-2 detection techniques.
- Analysis of virus properties relevant to diagnostic test development.
- Exploration of alternative sample types for viral detection.
Main Results:
- Existing detection methods have limitations in speed, accuracy, or scope for SARS-CoV-2.
- New strategies and sample types show promise for improving diagnostic sensitivity and specificity.
- The review highlights the need for further research into advanced detection methodologies.
Conclusions:
- Rapid and accurate diagnostics are essential for controlling SARS-CoV-2 transmission and managing COVID-19.
- Innovative approaches and broader sample utilization can significantly improve SARS-CoV-2 detection capabilities.
- Continued research is vital to develop superior diagnostic tools for emerging viral threats.

