Cargando…
Visualizing Social and Behavior Change due to the Outbreak of COVID-19 Using Mobile Phone Location Data
We visualize the rates of stay-home for residents by region using the difference between day-time and night-time populations to detect residential areas, and then observing the numbers of people leaving residential areas. There are issues with measuring stay-home rates by observing numbers of people...
Autores principales: | Mizuno, Takayuki, Ohnishi, Takaaki, Watanabe, Tsutomu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ohmsha
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561084/ https://www.ncbi.nlm.nih.gov/pubmed/34744249 http://dx.doi.org/10.1007/s00354-021-00139-x |
Ejemplares similares
-
Preface of Special Issue on Data Science Questing for a Better Society
por: Mizuno, Takayuki, et al.
Publicado: (2022) -
The Disparity and Dynamics of Social Distancing Behaviors in Japan: Investigation of Mobile Phone Mobility Data
por: Lyu, Zeyu, et al.
Publicado: (2022) -
High Quality Topic Extraction from Business News Explains Abnormal Financial Market Volatility
por: Hisano, Ryohei, et al.
Publicado: (2013) -
The gradual evolution of buyer–seller networks and their role in aggregate fluctuations
por: Hisano, Ryohei, et al.
Publicado: (2017) -
Japanese travel behavior trends and change under COVID-19 state-of-emergency declaration: Nationwide observation by mobile phone location data
por: Hara, Yusuke, et al.
Publicado: (2021)