In the covid-19 pandemic, we know that a small number of people are responsible for a large number of infections, these people are referred to as superpreaders. The aim of this project is to explore network models of disease spread and to compare the dynamics of a disease outbreak with superspreaders against one without. We can also use the model to explore control strategies in each case hi i have uploaded few papers for this dissertation so please check this and my dissertation topic is different it is Using a network model to understand the impact of superspreaders or superspreading events in disease dynamics In the covid-19 pandemic, we know that a small number of people are responsible for a large number of infections, these people are referred to as superpreaders. The aim of this project is to explore network models of disease spread and to compare the dynamics of a disease outbreak with superspreaders against one without. We can also use the model to explore control strategies in each case. please do the coding part in python
