Nowcasting and forecasting COVID-19 waves: the recursive and stochastic nature of transmission

We propose a parsimonious, yet effective, susceptible–exposed–infected–removed-type model that incorporates the time change in the transmission and death rates. The model is calibrated by Tikhonov-type regularization from official reports from New York City (NYC), Chicago, the State of São Paulo, in...

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Detalles Bibliográficos
Autores principales: Albani, V. V. L., Albani, R. A. S., Massad, E., Zubelli, J. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2022
Materias:
Mathematics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399708/
https://www.ncbi.nlm.nih.gov/pubmed/36016918
http://dx.doi.org/10.1098/rsos.220489

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399708/
https://www.ncbi.nlm.nih.gov/pubmed/36016918
http://dx.doi.org/10.1098/rsos.220489

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