Analyzing COVID‐19 Using Multisource Data: An Integrated Approach of Visualization, Spatial Regression, and Machine Learning

Analyzing COVID‐19 Using Multisource Data: An Integrated Approach of Visualization, Spatial Regression, and Machine Learning

Abstract Coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronavirus 2, was first identified in Wuhan, China, in December 2019. As the number of COVID‐19 infections and deaths worldwide continues to increase rapidly, the prevention and control of COVID‐19 remains urg...

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Bibliographic Details
Main Authors: Chao Wu, Mengjie Zhou, Pengyu Liu, Mengjie Yang
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-08-01
Series:GeoHealth
Subjects:
COVID‐19
spatial‐temporal patterns
visualization
mixed GWR
XGBoost
geographical perspective
Online Access:https://doi.org/10.1029/2021GH000439

Internet

https://doi.org/10.1029/2021GH000439

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