Department of Mechanical Engineering, The University of Hong Kong, Pokfulam, Hong Kong, China.
Environmental Control Systems, Boeing Commercial Airplanes, Everett, WA, USA.
Indoor Air. 2018 May;28(3):394-403. doi: 10.1111/ina.12445. Epub 2018 Jan 6.
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.
确定室内环境中传染病的确切传播途径是制定有效干预策略的关键步骤。在这项研究中,我们提出了一种比较分析方法,并建立了一个模型来模拟类似客舱环境中 3 种不同的飞行感染暴发,即甲型 H1N1 流感、严重急性呼吸综合征(SARS)冠状病毒(CoV)和诺如病毒。模拟结果似乎表明,密切接触途径可能是甲型 H1N1 传播中最重要的途径(贡献 70%,95%置信区间[CI]:67%-72%);因此,与指数病例相邻的 2 排内的乘客在暴发中的感染风险明显高于其他乘客(相对风险[RR]:13.4,95%CI:1.5-121.2,P = 0.019)。对于 SARS CoV,空气传播、密切接触和接触传播途径分别贡献 21%(95%CI:19%-23%)、29%(95%CI:27%-31%)和 50%(95%CI:48%-53%)。对于诺如病毒,模拟结果表明,接触传播途径在大多数情况下起着主导作用(贡献 85%,95%CI:83%-87%);因此,过道座位上的乘客感染风险明显高于其他乘客(RR:9.5,95%CI:1.2-77.4,P = 0.022)。这项工作强调了一种使用观察性暴发数据分析不同感染传播途径作用的方法。