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

被引:45
作者
Gao, Caroline X. [1 ,2 ,3 ]
Li, Yuguo [4 ,7 ]
Wei, Jianjian [5 ,6 ]
Cotton, Sue [1 ,3 ]
Hamilton, Matthew [3 ]
Wang, Lei [5 ,6 ]
Cowling, Benjamin J. [8 ]
机构
[1] Univ Melbourne, Ctr Youth Mental Hlth, Parkville, Vic 3052, Australia
[2] Monash Univ, Sch Publ Hlth & Prevent Med, 553 St Kilda Rd, Melbourne, Vic 3004, Australia
[3] Orygen, Parkville, Vic 3052, Australia
[4] Univ Hong Kong, Dept Mech Engn, Pokfulam Rd, Hong Kong 999077, Peoples R China
[5] Zhejiang Univ, Inst Refrigerat & Cryogen, Hangzhou 310000, Peoples R China
[6] Zhejiang Univ, Key Lab Refrigerat & Cryogen Technol Zhejiang Pro, Hangzhou 310000, Peoples R China
[7] Univ Hong Kong, Zhejiang Inst Res & Innovat, Hangzhou 310000, Peoples R China
[8] Univ Hong Kong, Sch Publ Hlth, Pokfulam Rd, Hong Kong 999077, Peoples R China
基金
中国国家自然科学基金;
关键词
Bioaerosol; Respiratory infection; Multi-route transmission; Short-range airborne route; Long-range airborne route; Building ventilation; INFLUENZA-A; AIRBORNE TRANSMISSION; AEROSOL TRANSMISSION; INDOOR ENVIRONMENTS; EXPIRATORY DROPLETS; SURVIVAL; EXPOSURE; VIRUSES; SPREAD; MODELS;
D O I
10.1016/j.scitotenv.2020.141856
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
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