ArticleScientific reports2015
Integrated travel network model for studying epidemics: Interplay between journeys and epidemic.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Networked SIRS model with Kalman filter state estimation for epidemic monitoring in Europe.Communications medicine · 2026Article
- Interacting particle models on the impact of spatially heterogeneous human behavioral factors on dynamics of infectious diseases.PLoS computational biology · 2024Article
- COVID-19 contagion across remote communities in tropical forests.Scientific reports · 2022Article
- The impact of super-spreader cities, highways, and intensive care availability in the early stages of the COVID-19 epidemic in Brazil.Scientific reports · 2021Article
- Association of built environment attributes with the spread of COVID-19 at its initial stage in China.Sustainable cities and society · 2021Article
- Impacts of Road Traffic Network and Socioeconomic Factors on the Diffusion of 2009 Pandemic Influenza A (H1N1) in Mainland China.International journal of environmental research and public health · 2019Article
- A decision-support framework to optimize border control for global outbreak mitigation.Scientific reports · 2019Article
- Electronic Devices That Identify Individuals with Fever in Crowded Places: A Prototype.Micromachines · 2017Article
- Spatio-temporal patterns of proportions of influenza B cases.Scientific reports · 2017Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ease of travelling between cities has contributed much to globalization. Yet, it poses a threat on epidemic outbreaks. It is of great importance for network science and health control to understand the impact of frequent journeys on epidemics. We stress that a new framework of modelling that takes a traveller's viewpoint is needed. Such integrated travel network (ITN) model should incorporate the diversity among links as dictated by the distances between cities and different speeds of different modes of transportation, diversity among nodes as dictated by the population and the ease of travelling due to infrastructures and economic development of a city, and round-trip journeys to targeted destinations via the paths of shortest travel times typical of human journeys. An example is constructed for 116 cities in China with populations over one million that are connected by high-speed train services and highways. Epidemic spread on the constructed network is studied. It is revealed both numerically and theoretically that the traveling speed and frequency are important factors of epidemic spreading. Depending on the infection rate, increasing the traveling speed would result in either an enhanced or suppressed epidemic, while increasing the traveling frequency enhances the epidemic spreading.
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