Cargando…
Spatio-temporal characteristics of the novel coronavirus attention network and its influencing factors in China
The outbreak of a novel coronavirus pneumonia (COVID-19), wherein more than 200 million people have been infected and millions have died, poses a great threat to achieving the United Nations 2030 sustainable development goal (SDGs). Based on the Baidu index of ’novel coronavirus’, this paper analyse...
Autores principales: | Guo, Xiaojia, Zhang, Jing, Wu, Xueling |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445458/ https://www.ncbi.nlm.nih.gov/pubmed/34529727 http://dx.doi.org/10.1371/journal.pone.0257291 |
Ejemplares similares
-
Spatio-temporal distribution characteristics and influencing factors of COVID-19 in China
por: Chen, Youliang, et al.
Publicado: (2021) -
Novel Spatio-Temporal Continuous Sign Language Recognition Using an Attentive Multi-Feature Network
por: Aditya, Wisnu, et al.
Publicado: (2022) -
Spatio-temporal characteristics and influencing factors of urban shrinkage in county level of Heilongjiang Province, Northeast China
por: Huo, Junqi, et al.
Publicado: (2023) -
STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks
por: Yu, Chengting, et al.
Publicado: (2022) -
Spatio-temporal evolution and influencing factors of China’s ICT service industry
por: Chen, Weixuan, et al.
Publicado: (2023)