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Detection of coronavirus in environmental surveillance and risk monitoring for pandemic control.
Yao, Linlin; Zhu, Wenting; Shi, Jianbo; Xu, Tailin; Qu, Guangbo; Zhou, Wenhua; Yu, Xue-Feng; Zhang, Xueji; Jiang, Guibin.
  • Yao L; State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China. gbqu@rcees.ac.cn.
Chem Soc Rev ; 50(6): 3656-3676, 2021 Mar 21.
Article in English | MEDLINE | ID: covidwho-1132110
ABSTRACT
The novel human infectious coronaviruses (CoVs) responsible for severe respiratory syndromes have raised concerns owing to the global public health emergencies they have caused repeatedly over the past two decades. However, the ongoing coronavirus disease 2019 (COVID-19) pandemic induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has received unprecedented attention internationally. Monitoring pathogenic CoVs in environmental compartments has been proposed as a promising strategy in preventing the environmental spread and tracing of infectious diseases, but a lack of reliable and efficient detection techniques is still a significant challenge. Moreover, the lack of information regarding the monitoring methodology may pose a barrier to primary researchers. Here, we provide a systematic introduction focused on the detection of CoVs in various environmental matrices, comprehensively involving methods and techniques of sampling, pretreatment, and analysis. Furthermore, the review addresses the challenges and potential improvements in virus detection techniques for environmental surveillance.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Environmental Monitoring / Pandemics / COVID-19 Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Chem Soc Rev Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Environmental Monitoring / Pandemics / COVID-19 Testing / SARS-CoV-2 / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Limits: Humans Language: English Journal: Chem Soc Rev Year: 2021 Document Type: Article