Open AccessSolving Nonlinear COVID-19 Mathematical Model Using a Reliable Numerical Method
Author(s) -
Emad Talal Ghadeer,
Maha A. Mohammed
Publication year - 2022
Publication title -
mağallaẗ ibn al-haytam li-l-ʻulūm al-ṣirfaẗ wa-al-taṭbīqiyyaẗ/ibn al-haitham journal for pure and applied sciences
Language(s) - English
Resource type - Journals
eISSN - 2521-3407
pISSN - 1609-4042
DOI - 10.30526/35.2.2818
Subject(s) - covid-19 , epidemic model , nonlinear system , pandemic , ordinary differential equation , mathematics , mathematical model , focus (optics) , computer science , differential equation , mathematical analysis , statistics , physics , population , virology , medicine , pathology , quantum mechanics , outbreak , infectious disease (medical specialty) , optics , disease , environmental health
This research aims to numerically solve a nonlinear initial value problem presented as a system of ordinary differential equations. Our focus is on epidemiological systems in particular. The accurate numerical method that is the Runge-Kutta method of order four has been used to solve this problem that is represented in the epidemic model. The COVID-19 mathematical epidemic model in Iraq from 2020 to the next years is the application under study. Finally, the results obtained for the COVID-19 model have been discussed tabular and graphically. The spread of the COVID-19 pandemic can be observed via the behavior of the different stages of the model that approximates the behavior of actual the COVID-19 epidemic in Iraq. In our study, the COVID-19 pandemic will disappear during the next few years within about five years, through the behavior of all stages of the epidemic presented in our research.