The spread of COVID-19

In this report we investigate the spread of the coronavirus 2019 (COVID-19) using mathematical models. We start with a simplified model consisting of a system of three ordinary differential equations and expand it more and more to try to simulate reality. We use Python’s odeint function to solve these systems numerically. Because a fraction of all infected people will not develop any symptoms, it makes it easy for a virus to spread. Therefore we look at how big the effect asymptomatic people have on spreading the virus. We look at how government measures affect the spread of the virus and thereafter we look at what happens if the government eases the taken measures. We also use MATLAB to analyse the stability of our models and to find solutions to our models using different numerical methods