NUMERICAL SOLUTIONS OF A COVID-19 MODEL USING EULER AND 4TH ORDER RUNGE-KUTTA METHODS
Abstract
ABSTRACT
Covid-19 hit the world at the end of 2019 and has become a deadly threat to the world since its onset. The disease was said to have emerged from Wuhan,China, and the WHO declared it a deadly global pandemic. This paper presents a Covid-19 SIR model by incorporating only the susceptible, infected and recovered class. Numerical solutions of this model is obtained using the Euler and 4th order Runge-Kutta method (RK4). The result shows the RK4 method gives a more efficient solution. We focused on studying the performance of these methods in solving the model.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.