Cargando…
A non-homogeneous Markov early epidemic growth dynamics model. Application to the SARS-CoV-2 pandemic
This work introduces a new markovian stochastic model that can be described as a non-homogeneous Pure Birth process. We propose a functional form of birth rate that depends on the number of individuals in the population and on the elapsed time, allowing us to model a contagion effect. Thus, we model...
Autores principales: | Barraza, Néstor Ruben, Pena, Gabriel, Moreno, Verónica |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500902/ https://www.ncbi.nlm.nih.gov/pubmed/32982083 http://dx.doi.org/10.1016/j.chaos.2020.110297 |
Ejemplares similares
-
Homogeneous denumerable Markov processes
por: Zhenting, Hou, et al.
Publicado: (1988) -
Modeling of HIV/AIDS dynamic evolution using non-homogeneous semi-markov process
por: Dessie, Zelalem Getahun
Publicado: (2014) -
SARS-CoV-2 introductions and early dynamics of the epidemic in Portugal
por: Borges, Vítor, et al.
Publicado: (2022) -
A Continuous Markov-Chain Model for the Simulation of COVID-19 Epidemic Dynamics
por: Xu, Zhaobin, et al.
Publicado: (2022) -
Semi-Markov Graph Dynamics
por: Raberto, Marco, et al.
Publicado: (2011)