Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the COVID-19 pandemic. In this data descriptor, we introduce a regularly-updated...

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Detalles Bibliográficos
Autores principales: Kang, Yuhao, Gao, Song, Liang, Yunlei, Li, Mingxiao, Rao, Jinmeng, Kruse, Jake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661515/
https://www.ncbi.nlm.nih.gov/pubmed/33184280
http://dx.doi.org/10.1038/s41597-020-00734-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7661515/
https://www.ncbi.nlm.nih.gov/pubmed/33184280
http://dx.doi.org/10.1038/s41597-020-00734-5

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