Spatial-temporal distribution of COVID-19 in China and its prediction: A data-driven modeling analysis
Currently, the outbreak of COVID-19 is rapidly spreading especially in Wuhan city, and threatens 14 million people in central China. In the present study we applied the Moran index, a strong statistical tool, to the spatial panel to show that COVID-19 infection is spatially dependent and mainly spr...
Saved in:
| Main Authors: | Rui Huang, Miao Liu, Yongmei Ding |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Journal of Infection in Developing Countries
2020-03-01
|
| Series: | Journal of Infection in Developing Countries |
| Subjects: | |
| Online Access: | https://jidc.org/index.php/journal/article/view/12585 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modelling the spatial-temporal progression of the 2009 A/H1N1 influenza pandemic in Chile
by: Raimund Bürger, et al.
Published: (2015-09-01) -
Analysis on Characteristics of Spatial-temporal Precipitation Distribution in Qingyuan Based on Cloud Model
by: WANG Yan
Published: (2021-01-01) -
Spatial and temporal distribution characteristics and evolution of traditional villages in the Qihe River Basin of China
by: YunXing Zhang, et al.
Published: (2025-03-01) -
Spatial-temporal distribution characteristics, species selection, and influencing factors of cherry blossom scenic spots in China
by: Hongjun Peng, et al.
Published: (2025-05-01) -
The Spatial–Temporal Evolution and Coupling of Population Distribution and Social Economy in the “Mid-Spine Belt of Beautiful China”
by: Qiang Yang, et al.
Published: (2025-01-01)