Long-term predictions of current confirmed and dead cases of COVID-19 in China by the non-autonomous delayed epidemic models

In this paper, we make long-term predictions based on numbers of current confirmed cases, accumulative dead cases of COVID-19 in different regions in China by modeling approach. Firstly, we use the SIRD epidemic model (S-Susceptible, I-Infected, R-Recovered, D-Dead) which is a non-autonomous dynamic...

Descripción completa

Detalles Bibliográficos
Autores principales: Pei, Lijun, Zhang, Mengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312358/
https://www.ncbi.nlm.nih.gov/pubmed/34335995
http://dx.doi.org/10.1007/s11571-021-09701-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312358/
https://www.ncbi.nlm.nih.gov/pubmed/34335995
http://dx.doi.org/10.1007/s11571-021-09701-1

Ejemplares similares