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COVID-19 Diagnostic Methods and Detection Techniques
Coronavirus disease 2019 (COVID-19) is an emerging human-to-human infectious disease that broke out in early December 2019 and threatens global public health, causing widespread concern. This respiratory disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The developme...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409760/ http://dx.doi.org/10.1016/B978-0-12-822548-6.00080-7 |
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author | Rong, Guoguang Zheng, Yuqiao Chen, Yin Zhang, Yanjun Zhu, Peixi Sawan, Mohamad |
author_facet | Rong, Guoguang Zheng, Yuqiao Chen, Yin Zhang, Yanjun Zhu, Peixi Sawan, Mohamad |
author_sort | Rong, Guoguang |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19) is an emerging human-to-human infectious disease that broke out in early December 2019 and threatens global public health, causing widespread concern. This respiratory disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The development of rapid and reliable techniques for COVID-19 diagnosis is a significant step to prevent further infections. Combinations of genome sequencing, nucleic acid molecular testing, clustered regularly interspaced short palindromic repeats editing technology, antigen/antibody detection, and computed tomography imaging have been implemented to identify and screen COVID-19 infections. Moreover, other new diagnosis methods such as dried blood spots and biosensors are being developed and are summarized here. This manuscript reviews currently available methods for SARS-CoV-2 detection with the aim of helping researchers develop timely and effective technologies to detect this emerging virus and its variants. |
format | Online Article Text |
id | pubmed-8409760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-84097602021-09-02 COVID-19 Diagnostic Methods and Detection Techniques Rong, Guoguang Zheng, Yuqiao Chen, Yin Zhang, Yanjun Zhu, Peixi Sawan, Mohamad Encyclopedia of Sensors and Biosensors Article Coronavirus disease 2019 (COVID-19) is an emerging human-to-human infectious disease that broke out in early December 2019 and threatens global public health, causing widespread concern. This respiratory disease is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The development of rapid and reliable techniques for COVID-19 diagnosis is a significant step to prevent further infections. Combinations of genome sequencing, nucleic acid molecular testing, clustered regularly interspaced short palindromic repeats editing technology, antigen/antibody detection, and computed tomography imaging have been implemented to identify and screen COVID-19 infections. Moreover, other new diagnosis methods such as dried blood spots and biosensors are being developed and are summarized here. This manuscript reviews currently available methods for SARS-CoV-2 detection with the aim of helping researchers develop timely and effective technologies to detect this emerging virus and its variants. 2023 2022-10-03 /pmc/articles/PMC8409760/ http://dx.doi.org/10.1016/B978-0-12-822548-6.00080-7 Text en Copyright © 2023 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Rong, Guoguang Zheng, Yuqiao Chen, Yin Zhang, Yanjun Zhu, Peixi Sawan, Mohamad COVID-19 Diagnostic Methods and Detection Techniques |
title | COVID-19 Diagnostic Methods and Detection Techniques |
title_full | COVID-19 Diagnostic Methods and Detection Techniques |
title_fullStr | COVID-19 Diagnostic Methods and Detection Techniques |
title_full_unstemmed | COVID-19 Diagnostic Methods and Detection Techniques |
title_short | COVID-19 Diagnostic Methods and Detection Techniques |
title_sort | covid-19 diagnostic methods and detection techniques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8409760/ http://dx.doi.org/10.1016/B978-0-12-822548-6.00080-7 |
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