The project “Using Agent Based Models on Small World Networks to Understand Disease Transmission” models the spread of COVID-19 using Python. This project transfers an already existing model created by Dr. Jane Molofsky and her team from NetLogo to Python in order to make the model more widely usable and applicable to other projects. Our model is an agent-based model on a small world network. Our model uses conditions based on scientific findings about COVID-19, the averaging of batch runs, and a small world network to model human interactions to predict how COVID-19 spreads in small communities.