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SARS-CoV-2 排放与空气浓度之间的关系:缩小理解差距。

Link between SARS-CoV-2 emissions and airborne concentrations: Closing the gap in understanding.

机构信息

Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, FR, Italy; International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, Qld, Australia; Infectious Diseases Unit, Department of Medical Sciences, Amedeo di Savoia Hospital, University of Turin, Torino, Italy.

Environmental Protection Agency of Piedmont (ARPA Piemonte), Italy; Infectious Diseases Unit, Department of Medical Sciences, Amedeo di Savoia Hospital, University of Turin, Torino, Italy.

出版信息

J Hazard Mater. 2022 Apr 15;428:128279. doi: 10.1016/j.jhazmat.2022.128279. Epub 2022 Jan 15.

Abstract

The airborne transmission of SARS-CoV-2 remains surprisingly controversial; indeed, health and regulatory authorities still require direct proof of this mode of transmission. To close this gap, we measured the viral load of SARS-CoV-2 of an infected subject in a hospital room (through an oral and nasopharyngeal swab), as well as the airborne SARS-CoV-2 concentration in the room resulting from the person breathing and speaking. Moreover, we simulated the same scenarios to estimate the concentration of RNA copies in the air through a novel theoretical approach and conducted a comparative analysis between experimental and theoretical results. Results showed that for an infected subject's viral load ranging between 2.4 × 10 and 5.5 × 10 RNA copies mL, the corresponding airborne SARS-CoV-2 concentration was below the minimum detection threshold when the person was breathing, and 16.1 (expanded uncertainty of 32.8) RNA copies m when speaking. The application of the predictive approach provided concentrations metrologically compatible with the available experimental data (i.e. for speaking activity). Thus, the study presented significant evidence to close the gap in understanding airborne transmission, given that the airborne SARS-CoV-2 concentration was shown to be directly related to the SARS-CoV-2 emitted. Moreover, the theoretical analysis was shown to be able to quantitatively link the airborne concentration to the emission.

摘要

SARS-CoV-2 的空气传播仍然存在争议;事实上,卫生和监管机构仍需要直接证明这种传播方式。为了填补这一空白,我们测量了医院病房中受感染个体的 SARS-CoV-2 病毒载量(通过口腔和鼻咽拭子),以及受感染者呼吸和说话时空气中 SARS-CoV-2 的浓度。此外,我们模拟了相同的场景,通过一种新的理论方法来估计空气中的 RNA 拷贝浓度,并对实验结果和理论结果进行了比较分析。结果表明,对于病毒载量在 2.4×10 和 5.5×10 RNA 拷贝 mL 之间的受感染个体,当人呼吸时,空气中的 SARS-CoV-2 浓度低于最低检测阈值,而当人说话时,空气中的 SARS-CoV-2 浓度为 16.1(扩展不确定度为 32.8)RNA 拷贝 m。预测方法的应用提供了与可用实验数据(即说话活动)在计量学上兼容的浓度。因此,该研究提供了重要证据,证明空气传播的理解取得了进展,因为空气中的 SARS-CoV-2 浓度与 SARS-CoV-2 的排放直接相关。此外,理论分析表明能够定量地将空气中的浓度与排放联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/809f/8760841/54e904f98b43/ga1_lrg.jpg

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