Current and Perspective Diagnostic Techniques for COVID-19.


Journal

ACS infectious diseases
ISSN: 2373-8227
Titre abrégé: ACS Infect Dis
Pays: United States
ID NLM: 101654580

Informations de publication

Date de publication:
14 08 2020
Historique:
pubmed: 18 7 2020
medline: 29 8 2020
entrez: 18 7 2020
Statut: ppublish

Résumé

Since late December 2019, the coronavirus pandemic (COVID-19; previously known as 2019-nCoV) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been surging rapidly around the world. With more than 1,700,000 confirmed cases, the world faces an unprecedented economic, social, and health impact. The early, rapid, sensitive, and accurate diagnosis of viral infection provides rapid responses for public health surveillance, prevention, and control of contagious diffusion. More than 30% of the confirmed cases are asymptomatic, and the high false-negative rate (FNR) of a single assay requires the development of novel diagnostic techniques, combinative approaches, sampling from different locations, and consecutive detection. The recurrence of discharged patients indicates the need for long-term monitoring and tracking. Diagnostic and therapeutic methods are evolving with a deeper understanding of virus pathology and the potential for relapse. In this Review, a comprehensive summary and comparison of different SARS-CoV-2 diagnostic methods are provided for researchers and clinicians to develop appropriate strategies for the timely and effective detection of SARS-CoV-2. The survey of current biosensors and diagnostic devices for viral nucleic acids, proteins, and particles and chest tomography will provide insight into the development of novel perspective techniques for the diagnosis of COVID-19.

Identifiants

pubmed: 32677821
doi: 10.1021/acsinfecdis.0c00365
doi:

Substances chimiques

RNA, Viral 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1998-2016

Auteurs

Xi Yuan (X)

Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China.

Chengming Yang (C)

Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, China.

Qian He (Q)

Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China.

Junhu Chen (J)

National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China.

Dongmei Yu (D)

Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China.
Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.

Jie Li (J)

Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China.
Kunming Dog Base of Police Security, Ministry of Public Security, Kunming, Yunnan 650204, China.

Shiyao Zhai (S)

Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China.

Zhifeng Qin (Z)

Animal & Plant Inspection and Quarantine Technology Center, Shenzhen Customs District People's Republic of China, Shenzhen, Guangdong 518045, China.

Ke Du (K)

Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States.

Zhenhai Chu (Z)

Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, China.

Peiwu Qin (P)

Center of Precision Medicine and Healthcare, Tsinghua-Berkeley Shenzhen Institute, Shenzhen, Guangdong 518055, China.

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Classifications MeSH