Cargando…
A discrete-time susceptible-infectious-recovered-susceptible model for the analysis of influenza data
We develop a discrete time compartmental model to describe the spread of seasonal influenza virus. As time and disease state variables are assumed to be discrete, this model is considered to be a discrete time, stochastic, Susceptible-Infectious-Recovered-Susceptible (DT-SIRS) model, where weekly co...
Autores principales: | Bucyibaruta, Georges, Dean, C.B., Torabi, Mahmoud |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10206802/ https://www.ncbi.nlm.nih.gov/pubmed/37234099 http://dx.doi.org/10.1016/j.idm.2023.04.008 |
Ejemplares similares
-
Discrete-time dynamic network model for the spread of susceptible-infective-recovered diseases
por: Chauhan, Sanjeev Kumar
Publicado: (2017) -
Extending susceptible-infectious-recovered-susceptible epidemics to allow for gradual waning of immunity
por: El Khalifi, Mohamed, et al.
Publicado: (2023) -
An Advanced Susceptible-Exposed-Infectious-Recovered model for quantitative analysis of COVID-19
por: Dixit, Rahul, et al.
Publicado: (2021) -
Social distancing and epidemic resurgence in agent-based susceptible-infectious-recovered models
por: Mukhamadiarov, Ruslan I., et al.
Publicado: (2021) -
Reinfection with SARS-CoV-2: Discrete SIR (Susceptible, Infected, Recovered) Modeling Using Empirical Infection Data
por: McMahon, Andrew, et al.
Publicado: (2020)