Spatiotemporal prediction of COVID-19 cases using inter- and intra-county proxies of human interactions

Measurements of human interaction through proxies such as social connectedness or movement patterns have proved useful for predictive modeling of COVID-19, which is a challenging task, especially at high spatial resolutions. In this study, we develop a Spatiotemporal autoregressive model to predict...

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Detalles Bibliográficos
Autores principales: Vahedi, Behzad, Karimzadeh, Morteza, Zoraghein, Hamidreza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576047/
https://www.ncbi.nlm.nih.gov/pubmed/34750353
http://dx.doi.org/10.1038/s41467-021-26742-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8576047/
https://www.ncbi.nlm.nih.gov/pubmed/34750353
http://dx.doi.org/10.1038/s41467-021-26742-6

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