Discovering spatial-temporal patterns via complex networks in investigating COVID-19 pandemic in the United States

A novel approach combining time series analysis and complex network theory is proposed to deeply explore characteristics of the COVID-19 pandemic in some parts of the United States (US). It merges as a new way to provide a systematic view and complementary information of COVID-19 progression in the...

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Detalles Bibliográficos
Autores principales: Pan, Yue, Zhang, Limao, Unwin, Juliette, Skibniewski, Miroslaw J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674122/
https://www.ncbi.nlm.nih.gov/pubmed/34931157
http://dx.doi.org/10.1016/j.scs.2021.103508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674122/
https://www.ncbi.nlm.nih.gov/pubmed/34931157
http://dx.doi.org/10.1016/j.scs.2021.103508

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