Author Correction: An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China
A Correction to this paper has been published: https://doi.org/10.1038/s42003-021-01924-6
Main Authors: | Wenzhong Shi, Chengzhuo Tong, Anshu Zhang, Bin Wang, Zhicheng Shi, Yepeng Yao, Peng Jia |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-03-01
|
Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-021-01924-6 |
Similar Items
-
An extended Weight Kernel Density Estimation model forecasts COVID-19 onset risk and identifies spatiotemporal variations of lockdown effects in China
by: Wenzhong Shi, et al.
Published: (2021-01-01) -
Mapping Microscale PM2.5 Distribution on Walkable Roads in a High-Density City
by: Chengzhuo Tong, et al.
Published: (2021-01-01) -
Analysis of the Temporal Characteristics of the Elderly Traveling by Bus Using Smart Card Data
by: Zhicheng Shi, et al.
Published: (2020-12-01) -
SPATIOTEMPORAL DOMAIN DECOMPOSITION FOR MASSIVE PARALLEL COMPUTATION OF SPACE-TIME KERNEL DENSITY
by: A. Hohl, et al.
Published: (2015-07-01) -
Identifying Building Functions from the Spatiotemporal Population Density and the Interactions of People among Buildings
by: Li Zhuo, et al.
Published: (2019-05-01)