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Article: How Urban factors affect the spatiotemporal distribution of infectious diseases in addition to intercity population movement in China
Title | How Urban factors affect the spatiotemporal distribution of infectious diseases in addition to intercity population movement in China |
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Authors | |
Keywords | Population movement Spatiotemporal distribution Infectious diseases |
Issue Date | 2020 |
Citation | ISPRS International Journal of Geo-Information, 2020, v. 9, n. 11, article no. 615 How to Cite? |
Abstract | The outbreak of the 2019 novel coronavirus (COVID-19) has attracted global attention. During the Chinese New Year holiday, population outflow from Wuhan induced the spread of the epidemic to other cities in China. This study analyzed massive intercity movement data from Baidu and epidemic data to study how intercity population outflows affected the spatiotemporal spread of the epidemic. This study further investigated how urban factors influenced the spatiotemporal spread of COVID-19. The analysis indicates that intercity movement was an important factor in the spread of the epidemic in China, and the impact of intercity movement on the spread was heterogeneous across different classes of cities. The spread of the epidemic also varied among cities and was affected by urban factors including the total population, population density, and gross domestic product (GDP). The findings have implications for public health management. Mega-cities should consider tougher measures to contain the spread of the epidemic compared with other cities. It is of great significance for policymakers in any nation to assess the potential risk of epidemics and make cautious plans ahead of time. |
Persistent Identifier | http://hdl.handle.net/10722/300140 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Niu, Xinyi | - |
dc.contributor.author | Yue, Yufeng | - |
dc.contributor.author | Zhou, Xingang | - |
dc.contributor.author | Zhang, Xiaohu | - |
dc.date.accessioned | 2021-06-04T05:49:08Z | - |
dc.date.available | 2021-06-04T05:49:08Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | ISPRS International Journal of Geo-Information, 2020, v. 9, n. 11, article no. 615 | - |
dc.identifier.uri | http://hdl.handle.net/10722/300140 | - |
dc.description.abstract | The outbreak of the 2019 novel coronavirus (COVID-19) has attracted global attention. During the Chinese New Year holiday, population outflow from Wuhan induced the spread of the epidemic to other cities in China. This study analyzed massive intercity movement data from Baidu and epidemic data to study how intercity population outflows affected the spatiotemporal spread of the epidemic. This study further investigated how urban factors influenced the spatiotemporal spread of COVID-19. The analysis indicates that intercity movement was an important factor in the spread of the epidemic in China, and the impact of intercity movement on the spread was heterogeneous across different classes of cities. The spread of the epidemic also varied among cities and was affected by urban factors including the total population, population density, and gross domestic product (GDP). The findings have implications for public health management. Mega-cities should consider tougher measures to contain the spread of the epidemic compared with other cities. It is of great significance for policymakers in any nation to assess the potential risk of epidemics and make cautious plans ahead of time. | - |
dc.language | eng | - |
dc.relation.ispartof | ISPRS International Journal of Geo-Information | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Population movement | - |
dc.subject | Spatiotemporal distribution | - |
dc.subject | Infectious diseases | - |
dc.title | How Urban factors affect the spatiotemporal distribution of infectious diseases in addition to intercity population movement in China | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.3390/ijgi9110615 | - |
dc.identifier.scopus | eid_2-s2.0-85094593246 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 11 | - |
dc.identifier.spage | article no. 615 | - |
dc.identifier.epage | article no. 615 | - |
dc.identifier.eissn | 2220-9964 | - |
dc.identifier.isi | WOS:000593412900001 | - |