Modeling the Spatiotemporal Association Between COVID‐19 Transmission and Population Mobility Using Geographically and Temporally Weighted Regression

Modeling the Spatiotemporal Association Between COVID‐19 Transmission and Population Mobility Using Geographically and Temporally Weighted Regression

Abstract The ongoing Coronavirus Disease 2019 (COVID‐19) has posed a serious threat to human public health and global economy. Population mobility is an important factor that drives the spread of COVID‐19. This study aimed to quantitatively evaluate the impact of population flow on the spread of COV...

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Bibliographic Details
Main Authors: Yixiang Chen, Min Chen, Bo Huang, Chao Wu, Wenjia Shi
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-05-01
Series:GeoHealth
Subjects:
COVID‐19
heterogeneity
population movement
time
space
Online Access:https://doi.org/10.1029/2021GH000402

Internet

https://doi.org/10.1029/2021GH000402

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