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温度、湿度和空气饱和状态如何影响 COVID-19 的传播风险?

How do temperature, humidity, and air saturation state affect the COVID-19 transmission risk?

机构信息

MOE Key Laboratory of Deep Earth Science and Engineering, Institute of Disaster Management and Reconstruction, Sichuan University, Chengdu, China.

Laboratory of Clinical Proteomics and Metabolomics, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China.

出版信息

Environ Sci Pollut Res Int. 2023 Jan;30(2):3644-3658. doi: 10.1007/s11356-022-21766-x. Epub 2022 Aug 11.

Abstract

Environmental parameters have a significant impact on the spread of respiratory viral diseases (temperature (T), relative humidity (RH), and air saturation state). T and RH are strongly correlated with viral inactivation in the air, whereas supersaturated air can promote droplet deposition in the respiratory tract. This study introduces a new concept, the dynamic virus deposition ratio (α), that reflects the dynamic changes in viral inactivation and droplet deposition under varying ambient environments. A non-steady-state-modified Wells-Riley model is established to predict the infection risk of shared air space and highlight the high-risk environmental conditions. Findings reveal that a rise in T would significantly reduce the transmission of COVID-19 in the cold season, while the effect is not significant in the hot season. The infection risk under low-T and high-RH conditions, such as the frozen seafood market, is substantially underestimated, which should be taken seriously. The study encourages selected containment measures against high-risk environmental conditions and cross-discipline management in the public health crisis based on meteorology, government, and medical research.

摘要

环境参数对呼吸道病毒疾病的传播有重大影响(温度(T)、相对湿度(RH)和空气饱和状态)。T 和 RH 与空气中的病毒失活密切相关,而过饱和空气可以促进呼吸道中飞沫的沉积。本研究提出了一个新概念,即动态病毒沉积比(α),它反映了在不同环境条件下病毒失活和飞沫沉积的动态变化。建立了一个非稳态修正的 Wells-Riley 模型来预测共享空气空间的感染风险,并强调了高风险的环境条件。研究结果表明,T 的升高会显著降低寒冷季节 COVID-19 的传播,而在炎热季节这种影响并不显著。在低温高湿度的环境条件下,如冷冻海鲜市场,感染风险会被大大低估,这一点应该引起重视。本研究鼓励在公共卫生危机中根据气象、政府和医学研究,选择针对高风险环境条件的控制措施和跨学科管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08ba/9366825/fd22685a45c4/11356_2022_21766_Fig1_HTML.jpg

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