Saliva-based detection of SARS-CoV-2: a bibliometric analysis of global research

被引:0
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作者
Chun Zhou
Zhaopin Cai
Boxing Jin
Huisong Lin
Lingling Xu
Zhigang Jin
机构
[1] Jinhua People’s Hospital Joint Center for Biomedical Research,Department of Science and Education
[2] Zhejiang Normal University,College of Life Sciences
[3] the Affiliated Jinhua Hospital of Wenzhou Medical University,undefined
[4] Zhejiang Normal University,undefined
[5] Zhejiang Institute of Medical Device Testing,undefined
来源
关键词
Saliva; SARS-CoV-2; COVID-19; Detection; CiteSpace; Bibliometric analysis;
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学科分类号
摘要
Saliva has emerged as a promising noninvasive biofluid for the diagnosis of oral and systemic diseases, including viral infections. During the coronavirus disease 2019 (COVID-19) pandemic, a growing number of studies focused on saliva-based detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Taking advantage of the WoS core collection (WoSCC) and CiteSpace, we retrieved 1021 articles related to saliva-based detection of SARS-CoV-2 and conducted a comprehensive bibliometric analysis. We analyzed countries, institutions, authors, cited authors, and cited journals to summarize their contribution and influence and analyzed keywords to explore research hotspots and trends. From 2020 to 2021, research focused on viral transmission via saliva and verification of saliva as a reliable specimen, whereas from 2021 to the present, the focus of research has switched to saliva-based biosensors for SARS-CoV-2 detection. By far, saliva has been verified as a reliable specimen for SARS-CoV-2 detection, although a standardized procedure for saliva sampling and processing is needed. Studies on saliva-based detection of SARS-CoV-2 will promote the development of saliva-based diagnostics and biosensors for viral detection. Collectively, our findings could provide valuable information to help scientists perceive the basic knowledge landscapes on saliva-based detection of SARS-CoV-2, the past and current research hotspots, and future opportunities.
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页码:761 / 777
页数:16
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