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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Netherlands
2021
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| 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 |