Using Mobility Data to Understand and Forecast COVID19 Dynamics

Disease dynamics, human mobility, and public policies co-evolve during a pandemic such as COVID-19. Understanding dynamic human mobility changes and spatial interaction patterns are crucial for understanding and forecasting COVID-19 dynamics. We introduce a novel graph-based neural network(GNN) to i...

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Detalles Bibliográficos
Autores principales: Wang, Lijing, Ben, Xue, Adiga, Aniruddha, Sadilek, Adam, Tendulkar, Ashish, Venkatramanan, Srinivasan, Vullikanti, Anil, Aggarwal, Gaurav, Talekar, Alok, Chen, Jiangzhuo, Lewis, Bryan, Swarup, Samarth, Kapoor, Amol, Tambe, Milind, Marathe, Madhav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755147/
https://www.ncbi.nlm.nih.gov/pubmed/33354685
http://dx.doi.org/10.1101/2020.12.13.20248129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7755147/
https://www.ncbi.nlm.nih.gov/pubmed/33354685
http://dx.doi.org/10.1101/2020.12.13.20248129

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