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

IF 6.3
Xinyue Li, Chenyu Zhu, Qisong Xing, Huaying Liu, Yimeng Wang and Maosheng Yao*, 
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引用次数: 0

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.

说不同的语言会影响大小分辨的呼出气体微粒排放
气溶胶传播在空气传播疾病中起着重要作用。在COVID-19期间观察到不同语言使用区域的传播差异,但人们对不同语言在气溶胶传播方面的潜在差异知之甚少。在这里,51名多语言志愿者被招募,用从8种不同语言中选择的3种语言进行相同语义的对话,以调查不同语言呼出的气溶胶的排放特征。结果表明,说话产生的呼出气溶胶颗粒主要集中在1 μm以下。说话时呼出的气溶胶的排放负荷以及气溶胶跨语言传播的相关潜在风险显示出显著差异。此外,年龄、性别和身体质量指数(BMI)等个体生理因素也会共同影响说话时呼出的气溶胶。随机森林回归的机器学习模型进一步揭示,语言差异对大小分解的呼出气溶胶排放浓度的影响比性别大得多,但比BMI小得多。因此,不同的语言使用会影响说话时呼出的气溶胶的排放浓度,从而影响气溶胶跨语言传播的可能性。在包括COVID-19在内的气溶胶传播大流行病中观察到的不同全球传播模式中,这种由语言引起的传播潜力多样性可能发挥了不可忽视的作用。
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来源期刊
Environment & Health
Environment & Health 环境科学、健康科学-
自引率
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期刊介绍: Environment & Health a peer-reviewed open access journal is committed to exploring the relationship between the environment and human health.As a premier journal for multidisciplinary research Environment & Health reports the health consequences for individuals and communities of changing and hazardous environmental factors. In supporting the UN Sustainable Development Goals the journal aims to help formulate policies to create a healthier world.Topics of interest include but are not limited to:Air water and soil pollutionExposomicsEnvironmental epidemiologyInnovative analytical methodology and instrumentation (multi-omics non-target analysis effect-directed analysis high-throughput screening etc.)Environmental toxicology (endocrine disrupting effect neurotoxicity alternative toxicology computational toxicology epigenetic toxicology etc.)Environmental microbiology pathogen and environmental transmission mechanisms of diseasesEnvironmental modeling bioinformatics and artificial intelligenceEmerging contaminants (including plastics engineered nanomaterials etc.)Climate change and related health effectHealth impacts of energy evolution and carbon neutralizationFood and drinking water safetyOccupational exposure and medicineInnovations in environmental technologies for better healthPolicies and international relations concerned with environmental health
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