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言语时长和音量对呼吸道气溶胶颗粒浓度的影响。

Effects of speech duration and voice volume on the respiratory aerosol particle concentration.

作者信息

Takano Tomoki, Xiang Yiming, Ogata Masayuki, Yamamoto Yoshihide, Hori Satoshi, Tanabe Shin-Ichi

机构信息

Department of Architecture, Waseda University.

Department of Architecture, Tokyo Metropolitan University.

出版信息

Environ Health Prev Med. 2025;30:14. doi: 10.1265/ehpm.24-00251.

Abstract

BACKGROUND

SARS-CoV-2 (COVID-19) is transmitted via infectious respiratory particles. Infectious respiratory particles are released when an infected person breathes, coughs, or speaks. Several studies have measured respiratory particle concentrations through focusing on activities such as breathing, coughing, and short speech. However, few studies have investigated the effect of speech duration.

METHODS

This study aimed to clarify the effects of speech duration and volume on the respiratory particle concentration. Study participants were requested to speak at three voice volumes across five speech durations, generating 15 speech patterns. Participants spoke inside a clean booth where particle concentrations and voice volumes were measured and analyzed during speech.

RESULTS

Our findings suggest that as speech duration increased, the aerosol number concentration also increased. Through focusing on individual differences, we considered there might be super-emitters who emit more aerosol particles than the average human. Two participants were identified as statistical outliers (aerosol number concentration, n = 1; mass concentration, n = 1).

CONCLUSIONS

Considering speech duration may improve our understanding of respiratory particle concentration dynamics. Two participants were identified as potential super-emitters.

摘要

背景

严重急性呼吸综合征冠状病毒2(SARS-CoV-2,即新冠病毒)通过传染性呼吸道颗粒传播。当感染者呼吸、咳嗽或说话时,会释放出传染性呼吸道颗粒。多项研究通过关注呼吸、咳嗽和简短讲话等活动来测量呼吸道颗粒浓度。然而,很少有研究调查讲话时长的影响。

方法

本研究旨在阐明讲话时长和音量对呼吸道颗粒浓度的影响。研究参与者被要求在五个讲话时长下以三种音量讲话,从而产生15种讲话模式。参与者在一个干净的 booth 内讲话,在讲话过程中测量并分析颗粒浓度和音量。

结果

我们的研究结果表明,随着讲话时长增加,气溶胶数量浓度也会增加。通过关注个体差异,我们认为可能存在比普通人释放更多气溶胶颗粒的超级排放者。两名参与者被确定为统计异常值(气溶胶数量浓度方面,n = 1;质量浓度方面,n = 1)。

结论

考虑讲话时长可能会增进我们对呼吸道颗粒浓度动态变化的理解。两名参与者被确定为潜在的超级排放者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d730/11925707/4c1021ea11f8/ehpm-30-014-g001.jpg

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