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Article: The interplay of spatial spread of COVID-19 and human mobility in the urban system of China during the Chinese New Year

TitleThe interplay of spatial spread of COVID-19 and human mobility in the urban system of China during the Chinese New Year
Authors
KeywordsSpatial spread
urban system
COVID-19
human mobility
infectious disease
Issue Date2021
Citation
Environment and Planning B: Urban Analytics and City Science, 2021, v. 48, p. 1955-1971 How to Cite?
AbstractThe rapid spread of infectious diseases is devastating to the healthcare systems of all countries. The dynamics of the spatial spread of epidemic have received considerable scientific attention. However, the understanding of the spatial variation of epidemic severity in the urban system is lagging. Using synchronized epidemic data and human mobility data, integrated with other multiple-sourced data, this study examines the interplay between disease spread of coronavirus disease (COVID-19) and inter-city and intra-city mobility among 319 Chinese cities. The results show a disease spreading process consisting of a major transfer (inter-city) diffusion before the Chinese New Year and a subsequent local (intra-city) diffusion after the Chinese New Year in the urban system of China. The variations in disease incidence between cities are mainly driven by inter-city mobility from Wuhan, the epidemic center of COVID-19. Cities that are closer to the epidemic center and with more population in the urban area will face higher risks of disease incidence. Warm and humid weather could help mitigate the spread of COVID-19. The extensive inter-city and intra-city travel interventions in China have reduced approximately 70% and 40% inter-city and intra-city mobility, respectively, and effectively slowed down the spread of the disease by minimizing human to human transmission together with other disease monitoring, control, and preventive measures. These findings could provide valuable insights into understanding the dynamics of disease spread in the urban system and help to respond to another new wave of pandemic in China and other parts of the world.
DescriptionBronze open access
Persistent Identifierhttp://hdl.handle.net/10722/300135
ISSN
2021 Impact Factor: 3.511
2020 SCImago Journal Rankings: 0.889
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMu, Xiaoyan-
dc.contributor.authorYeh, Anthony Gar On-
dc.contributor.authorZhang, Xiaohu-
dc.date.accessioned2021-06-04T05:49:07Z-
dc.date.available2021-06-04T05:49:07Z-
dc.date.issued2021-
dc.identifier.citationEnvironment and Planning B: Urban Analytics and City Science, 2021, v. 48, p. 1955-1971-
dc.identifier.issn2399-8083-
dc.identifier.urihttp://hdl.handle.net/10722/300135-
dc.descriptionBronze open access-
dc.description.abstractThe rapid spread of infectious diseases is devastating to the healthcare systems of all countries. The dynamics of the spatial spread of epidemic have received considerable scientific attention. However, the understanding of the spatial variation of epidemic severity in the urban system is lagging. Using synchronized epidemic data and human mobility data, integrated with other multiple-sourced data, this study examines the interplay between disease spread of coronavirus disease (COVID-19) and inter-city and intra-city mobility among 319 Chinese cities. The results show a disease spreading process consisting of a major transfer (inter-city) diffusion before the Chinese New Year and a subsequent local (intra-city) diffusion after the Chinese New Year in the urban system of China. The variations in disease incidence between cities are mainly driven by inter-city mobility from Wuhan, the epidemic center of COVID-19. Cities that are closer to the epidemic center and with more population in the urban area will face higher risks of disease incidence. Warm and humid weather could help mitigate the spread of COVID-19. The extensive inter-city and intra-city travel interventions in China have reduced approximately 70% and 40% inter-city and intra-city mobility, respectively, and effectively slowed down the spread of the disease by minimizing human to human transmission together with other disease monitoring, control, and preventive measures. These findings could provide valuable insights into understanding the dynamics of disease spread in the urban system and help to respond to another new wave of pandemic in China and other parts of the world.-
dc.languageeng-
dc.relation.ispartofEnvironment and Planning B: Urban Analytics and City Science-
dc.subjectSpatial spread-
dc.subjecturban system-
dc.subjectCOVID-19-
dc.subjecthuman mobility-
dc.subjectinfectious disease-
dc.titleThe interplay of spatial spread of COVID-19 and human mobility in the urban system of China during the Chinese New Year-
dc.typeArticle-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1177/2399808320954211-
dc.identifier.scopuseid_2-s2.0-85090151432-
dc.identifier.volume48-
dc.identifier.spage1955-
dc.identifier.epage1971-
dc.identifier.eissn2399-8091-
dc.identifier.isiWOS:000566450000001-

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