Comparison of Some Numerical Simulation Techniques for COVID-19 Model in Iraq

The aim of our study is to solve a nonlinear epidemic model, which the COVID-19 model in Iraq, through application initial value problems current study. has been presented as system ordinary differential equations that parameters change with time. Two numerical simulation methods are proposed this suitable for solving systems whose coefficients over These Mean Monte Carlo Runge-Kutta method (MMC_RK) and Latin Hypercube (MLH_RK). results compared 4th order (RK4) from 2021 2025 using absolute error, proves MLH_RK best closest expected values. have discussed after being tabulated represented graphically. Epidemic behavior next two years until projected methods.