ArticleInternational journal of environmental research and public health2019
Impacts of Road Traffic Network and Socioeconomic Factors on the Diffusion of 2009 Pandemic Influenza A (H1N1) in Mainland China.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 48 citations in OpenAlex.
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- Modeling the dynamics of seasonal influenza in response to meteorological conditions and antigenic variation: a simulation study.BMC public health · 2026Article
- Harnessing Socio-Spatial Dynamics for Pandemic Resilience: Evidence from Kozhikode, India.One health (Amsterdam, Netherlands) · 2025Article
- Spatiotemporal patterns of influenza incidence changes in mainland China, 2004-2020.Frontiers in public health · 2025Article
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- Spatiotemporal Drivers of the African Swine Fever Epidemic in Lao PDR.Transboundary and emerging diseases · 2023Article
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- Reflections on major epidemics in history reported by online English news media and literature: interaction between epidemics and social conditions.Frontiers in public health · 2023Article
- Epidemiological Characteristics of Hand, Foot and Mouth Disease Reinfection in Guangzhou, Southern China from 2012 to 2017.Iranian journal of public health · 2022Article
- The relationship between the built environment and respiratory health: Evidence from a longitudinal study in Indonesia.SSM - population health · 2022Article
- Respiratory pandemics, urban planning and design: A multidisciplinary rapid review of the literature.Cities (London, England) · 2022Article
- Mapping ex ante risks of COVID-19 in Indonesia using a Bayesian geostatistical model on airport network data.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2022Article
- Environmental factors and spatiotemporal distribution characteristics of the global outbreaks of the highly pathogenic avian influenza H5N1.Environmental science and pollution research international · 2022Article
- Spatiotemporal analysis of urban road congestion during and post COVID-19 pandemic in Shanghai, China.Transportation research interdisciplinary perspectives · 2022Article
- Global cities, hypermobility, and Covid-19.Cities (London, England) · 2022Article
- Identifying the space-time patterns of COVID-19 risk and their associations with different built environment features in Hong Kong.The Science of the total environment · 2021Article
- Examining the diffusion of coronavirus disease 2019 cases in a metropolis: a space syntax approach.International journal of health geographics · 2021Article
- Effect of Timing of and Adherence to Social Distancing Measures on COVID-19 Burden in the United States : A Simulation Modeling Approach.Annals of internal medicine · 2021Article
- The airline transport regulation and development of public health crisis in megacities of China.Journal of transport & health · 2020Article
- A descriptive analysis of the effect of the COVID-19 pandemic on driving behavior and road safety.Transportation research interdisciplinary perspectives · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 2009 pandemic influenza virus caused the majority of the influenza A virus infections in China in 2009. It arrived in several Chinese cities from imported cases and then spread as people travelled domestically by all means of transportation, among which road traffic was the most commonly used for daily commuting. Spatial variation in socioeconomic status not only accelerates migration across regions but also partly induces the differences in epidemic processes and in responses to epidemics across regions. However, the roles of both road travel and socioeconomic factors have not received the attention they deserve. Here, we constructed a national highway network for and between 333 cities in mainland China and extracted epidemiological variables and socioeconomic factors for each city. We calculated classic centrality measures for each city in the network and proposed two new measures (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.