GLOBAL DYNAMICS AND SENSITIVITY ANALYSIS OF SEIAR MATHEMATICAL MODEL FOR COVID-19 PANDEMIC

Document Type : Novel Research Articles

Abstract

In this paper, we introduce a mathematical  model for the ongoing outbreak of the COVID-19 pandemic. We use the reproduction number  to perform the sensitivity analysis and determine the most critical parameters from which we measure the volume of COVID-19 propagation. Global stability analysis of the model is investigated based on suitable Lyapunov functions. Based on facts to estimate the spread of COVID-19 throughout the world, numerical simulation is presented. Furthermore, we compare our simulation results to some real-world data collected by the World Health Organization over a period of time on reported infected cases.

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