Routes of transmission of influenza A H1N1, SARS CoV, and norovirus in air cabin: Comparative analyses

被引:128
作者
Lei, H. [1 ]
Li, Y. [1 ]
Xiao, S. [1 ]
Lin, C. -H. [2 ]
Norris, S. L. [2 ]
Wei, D. [3 ]
Hu, Z. [4 ]
Ji, S. [4 ]
机构
[1] Univ Hong Kong, Dept Mech Engn, Pokfulam, Hong Kong, Peoples R China
[2] Boeing Commercial Airplanes, Environm Control Syst, Everett, WA USA
[3] Boeing China Co Ltd, Beijing, Peoples R China
[4] Beijing Aeronaut Sci & Technol Res Inst COMAC, Beijing, Peoples R China
关键词
air cabin; in-flight infection; intervention; mathematical model; multiroute transmission; outbreak; ACUTE RESPIRATORY SYNDROME; HAND SURFACE-AREA; AIRBORNE TRANSMISSION; COMMERCIAL AIRLINER; PANDEMIC INFLUENZA; VIRUS; GASTROENTERITIS; INFECTION; OUTBREAK; TRAVEL;
D O I
10.1111/ina.12445
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Identifying the exact transmission route(s) of infectious diseases in indoor environments is a crucial step in developing effective intervention strategies. In this study, we proposed a comparative analysis approach and built a model to simulate outbreaks of 3 different in-flight infections in a similar cabin environment, that is, influenza A H1N1, severe acute respiratory syndrome (SARS) coronavirus (CoV), and norovirus. The simulation results seemed to suggest that the close contact route was probably the most significant route (contributes 70%, 95% confidence interval [CI]: 67%-72%) in the in-flight transmission of influenza A H1N1 transmission; as a result, passengers within 2 rows of the index case had a significantly higher infection risk than others in the outbreak (relative risk [RR]: 13.4, 95% CI: 1.5-121.2, P=.019). For SARS CoV, the airborne, close contact, and fomite routes contributed 21% (95% CI: 19%-23%), 29% (95% CI: 27%-31%), and 50% (95% CI: 48%-53%), respectively. For norovirus, the simulation results suggested that the fomite route played the dominant role (contributes 85%, 95% CI: 83%-87%) in most cases; as a result, passengers in aisle seats had a significantly higher infection risk than others (RR: 9.5, 95% CI: 1.2-77.4, P=.022). This work highlighted a method for using observed outbreak data to analyze the roles of different infection transmission routes.
引用
收藏
页码:394 / 403
页数:10
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