ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2020
The relationship between trends in COVID-19 prevalence and traffic levels in South Korea.
Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed, 112 citations in OpenAlex.
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- COVID-19, traffic demand, and activity restriction in China: A national assessment.Travel behaviour & society · 2023Article
- Understanding individual-level travel behavior changes due to COVID-19: Trip frequency, trip regularity, and trip distance.Cities (London, England) · 2023Article
- Analyzing multiple COVID-19 outbreak impacts: A case study based on Chinese national air passenger flow.Transportation research. Part A, Policy and practice · 2023Article
- Local travel behaviour under continuing COVID-19 waves- A proxy for pandemic fatigue?Transportation research interdisciplinary perspectives · 2023Article
- Estimating long-term and short-term impact of COVID-19 activity restriction on regional highway traffic demand: A case study in Zhejiang Province, China.International journal of disaster risk reduction : IJDRR · 2023Article
- Exploring the Public Health of Travel Behaviors in High-Speed Railway Environment during the COVID-19 Pandemic from the Perspective of Trip Chain: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China.International journal of environmental research and public health · 2023Article
- Evaluating the public acceptance of sustainable mobility interventions responding to Covid-19: The case of the Great Walk of Athens and the importance of citizen engagement.Cities (London, England) · 2023Article
- Evaluation of roadside air quality using deep learning models after the application of the diesel vehicle policy (Euro 6).Scientific reports · 2022Article
- Non-pharmaceutical interventions and urban vehicle mobility in Seoul during the COVID-19 pandemic.Cities (London, England) · 2022Article
- Australia 6 months after COVID-19 restrictions- part 1: Changes to travel activity and attitude to measures.Transport policy · 2022Article
- Household Readiness to Care for Mild and Asymptomatic COVID-19 Cases at Home, Southwest Ethiopia: A Community-based Cross-Sectional Study.Ethiopian journal of health sciences · 2022Article
- A systematic review of COVID-19 transport policies and mitigation strategies around the globe.Transportation research interdisciplinary perspectives · 2022Article
- Impact of COVID-19 on private driving behavior: Evidence from electric vehicle charging data.Transport policy · 2022Article
- Close contact behavior-based COVID-19 transmission and interventions in a subway system.Journal of hazardous materials · 2022Article
- Multi-scale causality analysis between COVID-19 cases and mobility level using ensemble empirical mode decomposition and causal decomposition.Physica A · 2022Article
- Analyzing the Effect of Social Distancing Policies on Traffic at Sinchon Station, South Korea, during the COVID-19 Pandemic in 2020 and 2021.International journal of environmental research and public health · 2022Article
- ANN-Based traffic volume prediction models in response to COVID-19 imposed measures.Sustainable cities and society · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe World Health Organization (WHO) declared a COVID-19 pandemic on March 12, 2020. Several studies have indicated that densely populated urban environments and the heavy dependence on traffic could increase the potential spread of COVID-19. This study investigated the association between changes in traffic volume and the spread of COVID-19 in South Korea.
methodsThis study analyzed the daily national traffic and traffic trend for 3 months from January 1, 2020. Traffic data were measured using 6307 vehicle detection system (VDS). This study analyzed the difference in traffic levels between 2019 and 2020. Non-linear regression was performed to analyze the change in traffic trend in 2020. The relationship between traffic and confirmed COVID-19 cases was analyzed using single linear regression.
resultsThe mean daily nationwide level of traffic for the first 3 months of 2020 was 143 655 563 vehicles, which was 9.7% lower than the same period in 2019 (159 044 566 vehicles). All regions showed a decreasing trend in traffic in February, which shifted to an increasing trend from March. In Incheon there was a positive, but insignificant, linear relationship between increasing numbers of newly confirmed cases and increasing traffic (β = 43 146; p = 0.056).
conclusionsNumbers of newly confirmed COVID-19 patients have been decreasing since March, while the traffic has been increasing. The fact that traffic is increasing indicates greater contact between people, which in turn increases the risk of further COVID-19 spread. Therefore, the government will need to devise suitable policies, such as total social distancing.
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