Estimating, monitoring, and forecasting COVID-19 epidemics: a spatiotemporal approach applied to NYC data

We propose a susceptible-exposed-infective-recovered-type (SEIR-type) meta-population model to simulate and monitor the (COVID-19) epidemic evolution. The basic model consists of seven categories, namely, susceptible (S), exposed (E), three infective classes, recovered (R), and deceased (D). We defi...

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Detalles Bibliográficos
Autores principales: Albani, Vinicius V. L., Velho, Roberto M., Zubelli, Jorge P.
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/PMC8079423/
https://www.ncbi.nlm.nih.gov/pubmed/33907222
http://dx.doi.org/10.1038/s41598-021-88281-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079423/
https://www.ncbi.nlm.nih.gov/pubmed/33907222
http://dx.doi.org/10.1038/s41598-021-88281-w

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