Hong Kong University of Science and Technology, Hong Kong, China.
Hong Kong University of Science and Technology, Hong Kong, China.
Travel Med Infect Dis. 2021 Jul-Aug;42:102097. doi: 10.1016/j.tmaid.2021.102097. Epub 2021 May 31.
Public transportation is a major facilitator of the spread of infectious diseases and has been a focus of policy interventions aiming to suppress the current COVID-19 epidemic.
We use a random-effects panel data model and a Difference-in-Differences in Reverse (DDR) model to examine how air and rail transport links with Wuhan as well as the suspension of these transport links influenced the development of the epidemic in China.
We find high-speed rail (HSR) and air connectivity with Wuhan resulted in 25.4% and 21.2% increases in the average number of daily new confirmed cases, respectively, while their suspension led to 18.6% and 13.3% decreases in that number. We also find that the suspension effect was dynamic, growing stronger over time and peaking 20-23 days after the Wuhan lockdown, then gradually wearing off. It took approximately four weeks for this effect to fully materialize, roughly twice the maximum incubation period, and similar dynamic patterns were seen in both HSR and air models. Overall, HSR had a greater impact on COVID-19 development than air transport.
Our research provides important evidence for implementing transportation-related policies in controlling future infectious diseases.
公共交通是传染病传播的主要媒介,一直是旨在抑制当前 COVID-19 疫情的政策干预的重点。
我们使用随机效应面板数据模型和差分逆(DDR)模型来研究与武汉的航空和铁路交通联系以及这些交通联系的暂停如何影响中国疫情的发展。
我们发现,与武汉的高铁(HSR)和航空连通性分别导致每日新增确诊病例数平均增加 25.4%和 21.2%,而其暂停则导致该数字分别减少 18.6%和 13.3%。我们还发现,暂停效应是动态的,随着时间的推移而增强,并在武汉封锁后 20-23 天达到峰值,然后逐渐减弱。这种影响大约需要四周的时间才能完全显现,大约是最长潜伏期的两倍,HSR 和航空模型都出现了类似的动态模式。总的来说,HSR 对 COVID-19 的发展影响大于航空运输。
我们的研究为实施与交通相关的政策以控制未来传染病提供了重要证据。