Cargando…
Structural identifiability and observability of compartmental models of the COVID-19 pandemic()
The recent coronavirus disease (COVID-19) outbreak has dramatically increased the public awareness and appreciation of the utility of dynamic models. At the same time, the dissemination of contradictory model predictions has highlighted their limitations. If some parameters and/or state variables of...
Autores principales: | Massonis, Gemma, Banga, Julio R., Villaverde, Alejandro F. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7752088/ https://www.ncbi.nlm.nih.gov/pubmed/33362427 http://dx.doi.org/10.1016/j.arcontrol.2020.12.001 |
Ejemplares similares
-
Improving dynamic predictions with ensembles of observable models
por: Massonis, Gemma, et al.
Publicado: (2022) -
Distilling identifiable and interpretable dynamic models from biological data
por: Massonis, Gemma, et al.
Publicado: (2023) -
On testing structural identifiability by a simple scaling method: Relying on scaling symmetries can be misleading
por: Villaverde, Alejandro F., et al.
Publicado: (2021) -
The Healing Hearts Together Randomized Controlled Trial and the COVID-19 Pandemic: A Tutorial for Transitioning From an In-Person to a Web-Based Intervention
por: Lalande, Kathleen, et al.
Publicado: (2021) -
Dynamical compensation and structural identifiability of biological models: Analysis, implications, and reconciliation
por: Villaverde, Alejandro F., et al.
Publicado: (2017)