Author: Kamara, Abdul A.; Mouanguissa, Lagès N.; Barasa, Godfrey Okumu
Title: Mathematical modelling of the COVID-19 pandemic with demographic effects Cord-id: nq80pyky Document date: 2021_3_17
ID: nq80pyky
Snippet: In this paper, a latent infection susceptible–exposed–infectious–recovered model with demographic effects is used to understand the dynamics of the COVID-19 pandemics. We calculate the basic reproduction number ([Formula: see text] ) by solving the differential equations of the model and also using next-generation matrix method. We also prove the global stability of the model using the Lyapunov method. We showed that when the [Formula: see text] or [Formula: see text] and [Formula: see tex
Document: In this paper, a latent infection susceptible–exposed–infectious–recovered model with demographic effects is used to understand the dynamics of the COVID-19 pandemics. We calculate the basic reproduction number ([Formula: see text] ) by solving the differential equations of the model and also using next-generation matrix method. We also prove the global stability of the model using the Lyapunov method. We showed that when the [Formula: see text] or [Formula: see text] and [Formula: see text] or [Formula: see text] the disease-free and endemic equilibria asymptotic stability exist theoretically. We provide numerical simulations to demonstrate the detrimental impact of the direct and latent infections for the COVID-19 pandemic.
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