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说不同语言会影响按大小分辨的呼出气溶胶颗粒排放。

Speaking Different Languages Impacts Size-Resolved Exhaled Breath Aerosol Particle Emission.

作者信息

Li Xinyue, Zhu Chenyu, Xing Qisong, Liu Huaying, Wang Yimeng, Yao Maosheng

机构信息

State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.

Institute of Environment & Health, Inner Mongolia Normal University, Hohhot, Inner Mongolia 010028, China.

出版信息

Environ Health (Wash). 2025 Jun 22;3(9):998-1007. doi: 10.1021/envhealth.5c00096. eCollection 2025 Sep 19.

Abstract

Aerosol transmission plays an important role in airborne-spread diseases. The transmission variations across language-usage regions were observed during COVID-19, however the potential differences from languages on aerosol transmission are poorly understood. Here, fifty-one multilingual volunteers were recruited to speak same-semantic dialogues in three languages selected from eight different languages studied to investigate the emission characteristics of exhaled aerosol across languages. The findings revealed that the size of exhaled aerosol particles generated by speaking was predominantly concentrated below 1 μm. The emission loads of exhaled aerosols during speaking and the associated potential risk of aerosol transmission across languages showed notable discrepancies. Additionally, the individual physiological factors such as age, gender and body mass index (BMI) also jointly influenced the exhaled aerosols during speaking. The machine learning model of random forest regression further revealed that language differences had a considerably greater impact on size-resolved exhaled aerosol emission concentrations than gender, but not than BMI. Thus, different language usages can influence the emission concentrations of exhaled aerosol during speaking, thereby impacting the potential for aerosol transmission across languages. This linguistic-induced diversity of transmission potentials could have played a non-negligible role in the disparate global dissemination patterns observed in aerosol-transmitted pandemics including COVID-19.

摘要

气溶胶传播在空气传播疾病中起着重要作用。在新冠疫情期间,观察到了不同语言使用地区的传播差异,然而,对于语言在气溶胶传播方面的潜在差异却知之甚少。在此,招募了51名多语言志愿者,用从所研究的8种不同语言中选出的3种语言进行语义相同的对话,以调查不同语言呼出气溶胶的排放特征。研究结果显示,说话时呼出的气溶胶颗粒大小主要集中在1μm以下。说话时呼出气溶胶的排放负荷以及不同语言间气溶胶传播的相关潜在风险存在显著差异。此外,年龄、性别和体重指数(BMI)等个体生理因素在说话时也共同影响呼出的气溶胶。随机森林回归的机器学习模型进一步表明,语言差异对按大小分辨的呼出气溶胶排放浓度的影响比性别大得多,但比BMI小。因此,不同的语言使用会影响说话时呼出气溶胶的排放浓度,从而影响不同语言间气溶胶传播的可能性。这种由语言引起的传播潜力差异可能在包括新冠疫情在内的气溶胶传播大流行中观察到的全球传播模式差异中起到了不可忽视的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c870/12455340/43240e88dc44/eh5c00096_0001.jpg

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