ArticleTransportation research. Part C, Emerging technologies2021
Influence of transportation network on transmission heterogeneity of COVID-19 in China.
Article in Transportation research. Part C, Emerging technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Mapping the Characteristics of Respiratory Infectious Disease Epidemics in China Based on the Baidu Index from November 2022 to January 2023.China CDC weekly · 2024Article
- Prevention and control of infectious disease transmission in subways: an improved susceptible-exposed-infected-recovered model.Frontiers in public health · 2024Article
- A new approach to COVID-19 data mining: A deep spatial-temporal prediction model based on tree structure for traffic revitalization index.Data & knowledge engineering · 2023Article
- Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks.Computers, environment and urban systems · 2023Article
- Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility.Transportation · 2023Article
- COVID-19 public transit precautions: Trade-offs between risk reduction and costs.Transportation research interdisciplinary perspectives · 2023Article
- Geoepidemiological perspective on COVID-19 pandemic review, an insight into the global impact.Frontiers in public health · 2023Review
- COVID-19 spread algorithm in the international airport network-DetArpds.PeerJ. Computer science · 2023Article
- Insight into the nonlinear effect of COVID-19 on well-being in China: Commuting, a vital ingredient.Journal of transport & health · 2022Article
- Impact of Different Transportation Modes on the Transmission of COVID-19: Correlation and Strategies from a Case Study in Wuhan, China.International journal of environmental research and public health · 2022Article
- Data analytics during pandemics: a transportation and location planning perspective.Annals of operations research · 2022Article
- Bidirectional Causality between Spreading COVID-19 and Individual Mobilisation with Consumption Motives across Prefectural Borders in Japan.International journal of environmental research and public health · 2022Article
- Managing public transit during a pandemic: The trade-off between safety and mobility.Transportation research. Part C, Emerging technologies · 2022Article
- The impact of the COVID-19 pandemic on O-D flow and airport networks in the origin country and in Northeast Asia.Journal of air transport management · 2022Article
- Suburban Road Networks to Explore COVID-19 Vulnerability and Severity.International journal of environmental research and public health · 2022Article
- Dynamic activity chain pattern estimation under mobility demand changes during COVID-19.Transportation research. Part C, Emerging technologies · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, we propose a novel approach to model spatial heterogeneity for epidemic spreading, which combines the relevance of transport proximity in human movement and the excellent estimation accuracy of deep neural network. We apply this model to investigate the effects of various transportation networks on the heterogeneous propagation of COVID-19 in China. We further apply it to predict the development of COVID-19 in China in two scenarios, i.e., i) assuming that different types of traffic restriction policies are conducted and ii) assuming that the epicenter of the COVID-19 outbreak is in Beijing, so as to illustrate the potential usage of the model in generating various policy insights to help the containment of the further spread of COVID-19. We find that the most effective way to prevent the coronavirus from spreading quickly and extensively is to control the routes linked to the epicenter at the beginning of the pandemic. But if the virus has been widely spread, setting restrictions on hub cities would be much more efficient than imposing the same travel ban across the whole country. We also show that a comprehensive consideration of the epicenter location is necessary for disease control.
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