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...

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Detalles Bibliográficos
Autores principales: Bucyibaruta, Georges, Dean, C.B., Torabi, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2023
Materias:
Article
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

Internet

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

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