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[Advances in SARS-CoV-2 diagnostic strategies during the later COVID-19 era].
Long, Q Y; Zheng, Y L; Gao, Zhancheng.
  • Long QY; Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361102, China.
  • Zheng YL; Department of Respiratory, Critical Care and Sleep Medicine, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen 361102, China.
  • Gao Z; Department of Respiratory and Critical Care Medicine, Peking University People's Hospital, Beijing 100044, China.
Zhonghua Jie He He Hu Xi Za Zhi ; 45(8): 819-825, 2022 Aug 12.
Article in Chinese | MEDLINE | ID: covidwho-1974959
ABSTRACT
Based on natural infection or vaccination, the protective barrier for population has been preliminarily established. However, with constant appearances of SARS-CoV-2 variants, breakthrough infection events cannot be completely avoided, and thus the diagnostic strategy is still the key to discovering epidemic sources and blocking the transmission chain. Currently, SARS-CoV-2 diagnosis technologies based on nucleic acid, antigen and antibody detections have developed and extended in diversity. Under the background of work resumption and epidemic-prevention normalization during the later COVID-19 era, it is necessary for us to choose appropriate detection methods to satisfy the need of epidemic prevention and control in various scenarios. We summarized the principles and applicable characteristics of existing SARS-CoV-2 detection technologies in this paper, aimed to provide guidance for clinical and public health personnel to make targeted decisions.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: Chinese Journal: Zhonghua Jie He He Hu Xi Za Zhi Year: 2022 Document Type: Article Affiliation country: Cma.j.cn112147-20220326-00240

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Diagnostic study / Prognostic study Topics: Vaccines / Variants Limits: Humans Language: Chinese Journal: Zhonghua Jie He He Hu Xi Za Zhi Year: 2022 Document Type: Article Affiliation country: Cma.j.cn112147-20220326-00240