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Endemic–epidemic models to understand COVID-19 spatio-temporal evolution
We propose an endemic–epidemic model: a negative binomial space–time autoregression, which can be employed to monitor the contagion dynamics of the COVID-19 pandemic, both in time and in space. The model is exemplified through an empirical analysis of the provinces of northern Italy, heavily affecte...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8274278/ https://www.ncbi.nlm.nih.gov/pubmed/34307007 http://dx.doi.org/10.1016/j.spasta.2021.100528 |