Mathematical Modelling and Computational Analysis of Covid-19 Epidemic in Erbil Kurdistan Using Modified Lagrange Interpolating Polynomial

Abstract

In 2020 world commonly faced a kind of epidemic virus, which is known as COVID-19 and it was the reason of many people’s death in the world that leads to hard economic situation all over the country, also Iraq was part of the infected country most especially Erbil. Data was collected for the months of July, August, and September regarding the test, positive, recovery, and dead results for covid-19 cases in Erbil, Iraq. Based on the obtained data’s, new modified Lagrange Interpolating polynomial method was derived and proof. The modified Lagrange interpolation polynomial method is very important tool for analyzing, predicting, forecasting, and interpolating high-order polynomials. Moreover, we model, predict, and investigate the test, positive, recovery, and dead results for covid-19 cases in Erbil, Iraq within certain period of time. Our results are well validated and supported by MATLAB.