Cargando…
COVID-19: data-driven dynamics, statistical and distributed delay models, and observations
COVID-19 was declared as a pandemic by the World Health Organization on March 11, 2020. Here, the dynamics of this epidemic is studied by using a generalized logistic function model and extended compartmental models with and without delays. For a chosen population, it is shown as to how forecasting...
Autores principales: | Liu, Xianbo, Zheng, Xie, Balachandran, Balakumar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7409621/ https://www.ncbi.nlm.nih.gov/pubmed/32836818 http://dx.doi.org/10.1007/s11071-020-05863-5 |
Ejemplares similares
-
Delay differential equations: recent advances and new directions
por: Balachandran, Balakumar, et al.
Publicado: (2009) -
Applied Nonlinear Dynamics: Analytical, Computational, and Experimental Methods
por: Nayfeh, Ali H, et al.
Publicado: (1995) -
Data-driven modeling and control of an X-ray bimorph adaptive mirror
por: Gunjala, Gautam, et al.
Publicado: (2023) -
Statistical Inference of COVID-19 Outbreak: Delay Distribution Effect in EQIR Modeling of Epidemic
por: Tajmirriahi, Mahnoosh, et al.
Publicado: (2022) -
Dynamics of COVID-19 transmission with comorbidity: a data driven modelling based approach
por: Das, Parthasakha, et al.
Publicado: (2021)