Cubic Spline Interpolation For Data Infections Of COVID-19 Pandemic In Iraq

In this paper, we use an empirical equation and cubic spline interpolation to fit Covid-19 data available for accumulated infections deaths in Iraq. For Scientific visualization of interpretation, it is useful methods purposes fitting by interpolation. The used from 3 January 2020 21 2021 order obtain graphs analysing the rate increasing pandemic then predicted values that period time. Stochastic daily also discussed showed figures. results splines will be numerically compared. principle least square errors both these interpolations. numerical indicated gives accurate data.