Choi Youngran, Zou Li, Dresner Martin
David B. O'Maley College of Business, Embry-Riddle Aeronautical University, 1 Aerospace Boulevard, Daytona Beach, FL, 32114, USA.
Logistics, Business & Public Policy, R.H. Smith School of Business, University of Maryland, College Park, MD, 20742, USA.
Transp Policy (Oxf). 2022 Oct;127:22-30. doi: 10.1016/j.tranpol.2022.08.009. Epub 2022 Aug 20.
We investigate the impact of air travel mobility and global connectivity on viral transmission by tracing the announced arrival time of COVID-19 and its major variants in countries around the world. We find that air travel intensity to a country, "effective distance" as measured by international air traffic, is generally a significant predictor for the announced viral arrival time. The level of healthcare infrastructure in a country is less important at predicting the initial transmission and detection time of a virus. A policy variable, notably the percentage reduction of total inbound seats in response to a viral outbreak, is largely ineffective at delaying viral transmission and discovery time. These findings suggest that air network connectivity is a major contributor to the speed of viral transmission. However, government attempts to delay viral transmission by reducing air network connectivity after the virus is first discovered are largely ineffective.
我们通过追踪新冠病毒及其主要变种在世界各国宣布的抵达时间,来研究航空旅行流动性和全球连通性对病毒传播的影响。我们发现,一个国家的航空旅行强度,即通过国际航空交通衡量的“有效距离”,通常是宣布的病毒抵达时间的重要预测指标。一个国家的医疗基础设施水平在预测病毒的初始传播和检测时间方面不太重要。一个政策变量,特别是针对病毒爆发而减少的总入境座位百分比,在延迟病毒传播和发现时间方面基本上是无效的。这些发现表明,航空网络连通性是病毒传播速度的主要促成因素。然而,政府在首次发现病毒后通过减少航空网络连通性来延迟病毒传播的尝试基本上是无效的。