Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China’s mainland

Quantitative spatiotemporal impact of dynamic population density changes on the COVID-19 pandemic in China’s mainland

ABSTRACTThe coronavirus disease 2019 (COVID-19) and its mutant viruses are still wreaking global havoc over the last two years, but the impact of human activity on the transmission of the pandemic is difficult to ascertain. Estimating human dynamic spatiotemporal distribution can help in our underst...

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Bibliographic Details
Main Authors: Guangyuan Zhang, Stefan Poslad, Yonglei Fan, Xiaoping Rui
Format: Article
Language:English
Published: Taylor & Francis Group 2023-10-01
Series:Geo-spatial Information Science
Subjects:
COVID-19
Geographic Information Systems (GIS)
panel data
Spatial Durbin Model (SDM)
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2022.2066576

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