Cargando…
A recursive bifurcation model for early forecasting of COVID-19 virus spread in South Korea and Germany
Early forecasting of COVID-19 virus spread is crucial to decision making on lockdown or closure of cities, states or countries. In this paper we design a recursive bifurcation model for analyzing COVID-19 virus spread in different countries. The bifurcation facilitates recursive processing of infect...
Autor principal: | Shen, Julia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695842/ https://www.ncbi.nlm.nih.gov/pubmed/33247187 http://dx.doi.org/10.1038/s41598-020-77457-5 |
Ejemplares similares
-
A Recursive Model of the Spread of COVID-19: Modelling Study
por: Ilyin, Sergey O
Publicado: (2021) -
Nowcasting and forecasting COVID-19 waves: the recursive and stochastic nature of transmission
por: Albani, V. V. L., et al.
Publicado: (2022) -
Recursive neural networks in hospital bed occupancy forecasting
por: Kutafina, Ekaterina, et al.
Publicado: (2019) -
The challenges of modeling and forecasting the spread of COVID-19
por: Bertozzi, Andrea L., et al.
Publicado: (2020) -
Modeling and forecasting the COVID-19 pandemic with heterogeneous autoregression approaches: South Korea
por: Hwang, Eunju, et al.
Publicado: (2021)