A discrete-time susceptible-infectious-recovered-susceptible model for the analysis of influenza data

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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Bibliographic Details
Main Authors: Georges Bucyibaruta, C.B. Dean, Mahmoud Torabi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-06-01
Series:Infectious Disease Modelling
Subjects:
Discrete-time epidemic model
Infectious diseases
Influx process
Non-linear stochastic dynamics
Seasonal influenza
SIRS model
Online Access:http://www.sciencedirect.com/science/article/pii/S2468042723000337

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