Spreading Dynamics Analysis for Railway Networks

The 2019 Coronavirus Disease (COVID-19), with the characteristics of rapid onset, strong infectivity, fast transmission and wide susceptibility, has quickly swept China since its appearance in Wuhan, Hubei province. COVID-19 spreads among people mainly by movement and close contact. Railway plays an important role in transport people national-wide as its essential role in public transportation, which conduced to the spreading of COVID-19 from Hubei province to other provinces in some sense. Inspired by this, this paper collected the data of Trains with Infectors (TwI) reported by the national health commission of the People’s Republic of China. Then the spreading of COVID-19 via railway network with the concept of complex network is analyzed. Results show that nodes with higher centrality tends to provide more TwI, and the closure of Wuhan railway station significantly prevents the spreading of COVID-19. © 2021, Springer Nature Singapore Pte Ltd.

[1]  Jessica T Davis,et al.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak , 2020, Science.

[2]  R. Agha,et al.  World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19) , 2020, International Journal of Surgery.

[3]  L. Meyers,et al.  Risk for Transportation of Coronavirus Disease from Wuhan to Other Cities in China , 2020, Emerging infectious diseases.

[4]  Nuno R. Faria,et al.  The effect of human mobility and control measures on the COVID-19 epidemic in China , 2020, Science.

[5]  R. Zheng,et al.  Spatial transmission of COVID-19 via public and private transportation in China , 2020, Travel Medicine and Infectious Disease.

[6]  Novel Coronavirus Pneumonia Emergency Response Epidemiol Team.  [The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China]. , 2020, Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi.

[7]  China Cdc Weekly.  The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19) — China, 2020 , 2020, China CDC weekly.

[8]  Ruifu Yang,et al.  An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China , 2020, Science.

[9]  Carl A. B. Pearson,et al.  The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study , 2020, The Lancet Public Health.

[10]  L. Yang,et al.  The association between domestic train transportation and novel coronavirus (2019-nCoV) outbreak in China from 2019 to 2020: A data-driven correlational report , 2020, Travel Medicine and Infectious Disease.

[11]  B. Singer,et al.  Impact of international travel and border control measures on the global spread of the novel 2019 coronavirus outbreak , 2020, Proceedings of the National Academy of Sciences.