Cargando…
Revealing spatiotemporal transmission patterns and stages of COVID-19 in China using individual patients’ trajectory data
Gauging viral transmission through human mobility in order to contain the COVID-19 pandemic has been a hot topic in academic studies and evidence-based policy-making. Although it is widely accepted that there is a strong positive correlation between the transmission of the coronavirus and the mobili...
Autores principales: | Cheng, Tao, Lu, Tianhua, Liu, Yunzhe, Gao, Xiaowei, Zhang, Xianghui |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175192/ https://www.ncbi.nlm.nih.gov/pubmed/34766167 http://dx.doi.org/10.1007/s43762-021-00009-8 |
Ejemplares similares
-
Measures to prevent nosocomial transmissions of COVID-19 based on interpersonal contact data
por: Cheng, Tao, et al.
Publicado: (2022) -
Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data
por: Cheng, Tao, et al.
Publicado: (2023) -
Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data
por: Liu, Xinyi, et al.
Publicado: (2022) -
Spatiotemporally resolved multivariate pattern analysis for M/EEG
por: Higgins, Cameron, et al.
Publicado: (2022) -
Spatiotemporal frequent pattern mining from evolving region trajectories
por: Aydin, Berkay, et al.
Publicado: (2018)