Modeling and interpreting the COVID-19 intervention strategy of China: A human mobility view
The Coronavirus Disease 2019 (COVID-19) has proved a globally prevalent outbreak since December 2019. As a focused country to alleviate the epidemic impact, China implemented a range of public health interventions to prevent the disease from further transmission, including the pandemic lockdown in Wuhan and other cities. This paper establishes China’s mobility network by a flight dataset and proposes a model without epidemiological parameters to indicate the spread risks through the network, which is termed as epidemic strength. By simply adjusting an intervention parameter, traffic volumes under different travel-restriction levels can be simulated to analyze how the containment strategy can mitigate the virus dissemination through traffic. This approach is successfully applied to a network of Chinese provinces and the epidemic strength is smoothly interpreted by flow maps. Through this node-to-node interpretation of transmission risks, both overall and detailed epidemic hazards are properly analyzed, which can provide valuable intervention advice during public health emergencies.
- Record URL:
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Supplemental Notes:
- © 2020 Haonan Chen et al.
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Authors:
- Chen, Haonan
- He, Jing
- Song, Wenhui
- Wang, Lianchao
- Wang, JiaBao
- Chen, Yijin
- Publication Date: 2020
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Maps; References; Tables;
- Pagination: e0242761
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Serial:
- PLoS One
- Volume: 15
- Issue Number: 11
- Publisher: Public Library of Science
- EISSN: 1932-6203
- Serial URL: https://journals.plos.org/plosone/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Communicable diseases; Emergencies; Epidemiology; Mathematical models; Mobility; Policy; Public health; Strategic planning; Traffic volume
- Identifier Terms: COVID-19
- Geographic Terms: China
- Subject Areas: Planning and Forecasting; Policy; Safety and Human Factors; Security and Emergencies; Transportation (General);
Filing Info
- Accession Number: 01761179
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 30 2020 3:12PM