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多途径呼吸道感染:当一种传播途径可能占主导地位时。

Multi-route respiratory infection: When a transmission route may dominate.

机构信息

Centre for Youth Mental Health, University of Melbourne, Parkville, VIC 3052, Australia; School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Rd, Melbourne, VIC 3004, Australia; Orygen, Parkville, VIC 3052, Australia.

Department of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, SAR 999077, China; Zhejiang Institute of Research and Innovation, The University of Hong Kong, Hangzhou 310000, China.

出版信息

Sci Total Environ. 2021 Jan 15;752:141856. doi: 10.1016/j.scitotenv.2020.141856. Epub 2020 Aug 20.

Abstract

The exact transmission route of many respiratory infectious diseases remains a subject for debate to date. The relative contribution ratio of each transmission route is largely undetermined, which is affected by environmental conditions, human behaviour, the host and the microorganism. In this study, a detailed mathematical model is developed to investigate the relative contributions of different transmission routes to a multi-route transmitted respiratory infection. The following transmission routes are considered: long-range airborne transmission, short-range airborne transmission, direction inhalation of medium droplets or droplet nuclei, direct deposition of droplets of all sizes, direct and indirect contact route. It is illustrated that all transmission routes can dominate the total transmission risk under different scenarios. Influential parameters considered include the dose-response rate of different routes, droplet governing size that determines pathogen content in droplets, exposure distance, and pathogen dose transported to the hand of infector. Our multi-route transmission model provided a comprehensive but straightforward method to evaluate the probability of respiratory diseases transmission via different routes. It also established a basis for predicting the impact of individual-level intervention methods such as increasing close-contact distance and wearing protective masks.

摘要

目前,许多呼吸道传染病的确切传播途径仍存在争议。每种传播途径的相对贡献比例在很大程度上尚未确定,这受到环境条件、人类行为、宿主和微生物的影响。在这项研究中,我们开发了一个详细的数学模型来研究不同传播途径对多途径呼吸道传染病的相对贡献。考虑了以下传播途径:远程空气传播、短程空气传播、吸入中等大小飞沫或飞沫核的方向、所有大小飞沫的直接沉积、直接和间接接触途径。结果表明,在不同场景下,所有传播途径都可以主导总传播风险。所考虑的影响参数包括不同途径的剂量反应率、决定飞沫中病原体含量的液滴控制大小、暴露距离以及传染者手上携带的病原体剂量。我们的多途径传播模型提供了一种全面而直接的方法来评估通过不同途径传播呼吸道疾病的概率。它还为预测个人层面干预方法(例如增加近距离接触距离和佩戴防护口罩)的影响奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef81/7439990/454dbe4cdefc/ga1_lrg.jpg

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