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利用空间技术加强对 SARS-CoV-2 的传统检测。

Spatial technologies to strengthen traditional testing for SARS-CoV-2.

机构信息

West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China; International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.

Xiangya School of Public Health, Central South University, Changsha, China; International Institute of Spatial Lifecourse Epidemiology (ISLE), Hong Kong, China.

出版信息

Trends Microbiol. 2021 Dec;29(12):1055-1057. doi: 10.1016/j.tim.2021.03.003. Epub 2021 Mar 14.

DOI:10.1016/j.tim.2021.03.003
PMID:33775546
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7955912/
Abstract

Advanced spatial and digital technologies may help us to take fuller advantage of limited testing resources to monitor the infection status of a large population in a cost-effective manner. Moreover, they may provide additional evidence to supplement results of nucleic acid testing (NAT) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to decrease false-negative and false-positive rates.

摘要

先进的空间和数字技术可以帮助我们更充分地利用有限的检测资源,以经济有效的方式监测大量人群的感染状况。此外,它们还可以提供额外的证据来补充严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 的核酸检测 (NAT) 结果,以降低假阴性和假阳性率。

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Detection of SARS-CoV-2 in fecal samples with different pretreatment methods and PCR kits.采用不同预处理方法和 PCR 试剂盒检测粪便样本中的 SARS-CoV-2。
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Understanding the Epidemic Course in Order to Improve Epidemic Forecasting.了解流行病程以改进疫情预测。
Geohealth. 2020 Oct 1;4(10):e2020GH000303. doi: 10.1029/2020GH000303. eCollection 2020 Oct.
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Monitoring COVID-19 where capacity for testing is limited: use of a three-step analysis based on test positivity ratio.在检测能力有限的情况下监测2019冠状病毒病:基于检测阳性率的三步分析法的应用
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