Open AccessOn the Global Stability Analysis of Corona Virus Disease (COVID-19) Mathematical Model
Author(s) -
William Atokolo,
Achonu Omale Joseph,
Rose Veronica Paul,
Abdul Sunday,
Thomas Ugbojoide Onoja
Publication year - 2021
Publication title -
asian research journal of mathematics
Language(s) - English
Resource type - Journals
ISSN - 2456-477X
DOI - 10.9734/arjom/2021/v17i630312
Subject(s) - pandemic , covid-19 , lyapunov function , stability (learning theory) , population , corona (planetary geology) , exponential stability , epidemic model , coronavirus , stability theory , virology , mathematics , mathematical economics , disease , biology , computer science , physics , medicine , infectious disease (medical specialty) , demography , nonlinear system , sociology , pathology , quantum mechanics , machine learning , astrobiology , venus
In this present work, we investigated the Global Stability Analysis of Corona virus disease model formulated by Atokolo et al in [11]. The COVID‑19 pandemic, also known as the coronavirus pandemic, is an ongoing pandemic that is ravaging the whole world. By constructing a Lyapunov function, we investigated the stability of the model Endemic Equilibrium state to be globally asymptotically stable. This results epidemiologically implies that the COVID-19 will invade the population in respective of the initial conditions (population) considered.