Geographical and temporal weighted regression: examining spatial variations of COVID-19 mortality pattern using mobility and multi-source data

Geographical and temporal weighted regression: examining spatial variations of COVID-19 mortality pattern using mobility and multi-source data

Abstract The COVID-19 pandemic has had profound adverse effects on public health and society, with increased mobility contributing to the spread of the virus and vulnerable populations, such as those with pre-existing health conditions, at a higher risk of COVID-19 mortality. However, the specific s...

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Bibliographic Details
Main Authors: Nanzhou Hu, Ziyi Zhang, Nicholas Duffield, Xiao Li, Bahar Dadashova, Dayong Wu, Siyu Yu, Xinyue Ye, Daikwon Han, Zhe Zhang
Format: Article
Language:English
Published: Springer 2024-03-01
Series:Computational Urban Science
Subjects:
COVID-19
Mobility
Multi-scale geographically weighted regression
Geographical and temporal weighted regression
Online Access:https://doi.org/10.1007/s43762-024-00117-1

Internet

https://doi.org/10.1007/s43762-024-00117-1

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