Mathematical Modelling of the COVID-19 Pandemic with Demographic Effects
Subscribe to read and download this work.
Abstract/Overview
In this paper, a latent infection susceptible–exposed–infectious–recovered model with demographic efects is used to understand the dynamics of the COVID-19 pandemics. We calculate the basic reproduction number (R0) by solving the diferential 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 R0 < 1 or R0 ≤ 1 and R0 > 1 or R0 ≥ 1 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.
Reviews
No reviews yet.
APA
(2026). Mathematical Modelling of the COVID-19 Pandemic with Demographic Effects. Afribary. Retrieved June 14, 2026, from http://library.afribary.com/works/mathematical-modelling-of-the-covid-19-pandemic-with-demographic-effects
MLA
"Mathematical Modelling of the COVID-19 Pandemic with Demographic Effects." Afribary, 7 Jun. 2026, http://library.afribary.com/works/mathematical-modelling-of-the-covid-19-pandemic-with-demographic-effects. Accessed June 14, 2026.
Chicago
"Mathematical Modelling of the COVID-19 Pandemic with Demographic Effects." Afribary (2026). Accessed June 14, 2026. http://library.afribary.com/works/mathematical-modelling-of-the-covid-19-pandemic-with-demographic-effects