Cargando…
Linear and non-linear dynamics of the epidemics: System identification based parametric prediction models for the pandemic outbreaks
Coronavirus disease 2019 (COVID-19) has endured constituting formidable economic, social, educational, and phycological challenges for the societies. Moreover, during pandemic outbreaks, the hospitals are overwhelmed with patients requiring more intensive care units and intubation equipment. Therein...
Autores principales: | Tutsoy, Onder, Polat, Adem |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
ISA. Published by Elsevier Ltd.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8349905/ https://www.ncbi.nlm.nih.gov/pubmed/34412892 http://dx.doi.org/10.1016/j.isatra.2021.08.008 |
Ejemplares similares
-
Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model
por: Tutsoy, Onder, et al.
Publicado: (2022) -
Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties
por: Tutsoy, Onder, et al.
Publicado: (2021) -
Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat
por: Pérez-Rodríguez, Paulino, et al.
Publicado: (2012) -
Single Particle Linear and Non-linear Dynamics
por: Cai, Yunhai
Publicado: (2004) -
Single Particle Linear and Non-linear Dynamics
por: Cai Yun Hai
Publicado: (2004)