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Article

How Urban Factors Affect the Spatiotemporal Distribution of Infectious Diseases in Addition to Intercity Population Movement in China

by 1,2, 1, 1,2,3,* and 4
1
College of Architecture and Urban Planning, Tongji University, Shanghai 200092, China
2
Key Laboratory of Ecology and Energy-Saving Study of Dense Habitat, Ministry of Education, Tongji University, Shanghai 200092, China
3
Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai 200092, China
4
Massachusetts Institute of Technology, Cambridge, MA 02142, USA
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(11), 615; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110615
Received: 11 September 2020 / Revised: 8 October 2020 / Accepted: 19 October 2020 / Published: 22 October 2020
(This article belongs to the Special Issue Geospatial Methods in Social and Behavioral Sciences)
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. View Full-Text
Keywords: population movement; spatiotemporal distribution; infectious diseases population movement; spatiotemporal distribution; infectious diseases
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MDPI and ACS Style

Niu, X.; Yue, Y.; Zhou, X.; Zhang, X. How Urban Factors Affect the Spatiotemporal Distribution of Infectious Diseases in Addition to Intercity Population Movement in China. ISPRS Int. J. Geo-Inf. 2020, 9, 615. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110615

AMA Style

Niu X, Yue Y, Zhou X, Zhang X. How Urban Factors Affect the Spatiotemporal Distribution of Infectious Diseases in Addition to Intercity Population Movement in China. ISPRS International Journal of Geo-Information. 2020; 9(11):615. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110615

Chicago/Turabian Style

Niu, Xinyi; Yue, Yufeng; Zhou, Xingang; Zhang, Xiaohu. 2020. "How Urban Factors Affect the Spatiotemporal Distribution of Infectious Diseases in Addition to Intercity Population Movement in China" ISPRS Int. J. Geo-Inf. 9, no. 11: 615. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9110615

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