Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions

A better understanding of various patterns in the coronavirus disease 2019 (COVID-19) spread in different parts of the world is crucial to its prevention and control. Motivated by the previously developed Global Epidemic and Mobility (GLEaM) model, this paper proposes a new stochastic dynamic model...

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Detalles Bibliográficos
Autores principales: Tan, Yixuan, Zhang, Yuan, Cheng, Xiuyuan, Zhou, Xiao-Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534028/
https://www.ncbi.nlm.nih.gov/pubmed/36198691
http://dx.doi.org/10.1038/s41598-022-18775-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534028/
https://www.ncbi.nlm.nih.gov/pubmed/36198691
http://dx.doi.org/10.1038/s41598-022-18775-8

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