Particle modelling of the spreading of coronavirus disease

  Hilla Deleon  ,  Francesco Pederiva  

By the end of 2020, a year since the first cases of infection by the Covid-19 virus have been reported, there is a light at the end of the tunnel. Several pharmaceutical companies made significant progress in developing effective vaccines against the Covid-19 virus that has claimed the lives of more than a million people over the world. On the other hand, there is growing evidence of re-infection by the virus, which can cause further outbreaks  which sharpens the need for physical and mathematical models that allow examining several ways to reduce the spread of the pandemic.

Here we  use a  test the spread of the Coronavirus for five different vaccination rates of the population and three vaccine efficiencies, which allow us to examine each model’s efficiency for controlling the spread of the virus for various population densities.