Sun Xiaoqian, Wandelt Sebastian, Zhang Anming
National Key Laboratory of CNS/ATM, School of Electronic and Information Engineering, Beihang University, 100191, Beijing, China.
National Engineering Laboratory of Multi-Modal Transportation Big Data, 10019, Beijing, China.
Transp Policy (Oxf). 2021 May;105:115-123. doi: 10.1016/j.tranpol.2021.03.005. Epub 2021 Mar 21.
COVID-19 is one of the most impactful pandemics in recent history, not only in terms of direct casualties but also regarding socio-economic impact. The goal of our study is to investigate the degree of synchronization between the number of confirmed cases in specific countries, on one hand, and how/at which stage these countries adapted their air transportation operations, on the other hand. We investigate the global air transportation system as a network of countries whose edges represent the existence of direct flights. Aggregated analysis of this country network and its evolving dynamics leads to novel insights regarding the synchronization with the number of confirmed cases; finding that most country borders were likely closed too late. We believe and hope that our analysis leads to a more efficient/effective prevention and control of future epidemics.
新冠疫情是近代以来影响最为深远的大流行病之一,不仅在直接伤亡方面,而且在社会经济影响方面都是如此。我们研究的目的是一方面调查特定国家确诊病例数之间的同步程度,另一方面调查这些国家如何以及在哪个阶段调整其航空运输运营。我们将全球航空运输系统作为一个国家网络来研究,这些国家之间的边界代表着直飞航班的存在。对这个国家网络及其动态演变进行综合分析,能得出关于与确诊病例数同步性的新颖见解;发现大多数国家边境关闭得太晚。我们相信并希望我们的分析能为未来疫情的预防和控制带来更高的效率/成效。