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For our Network Science capstone course, Giselle Cohen and I worked on modelling epidemics.
Given that this project happened in fall 2020, thinking about limiting transmission of COVID-19 was forefront on many peoples' minds. What is the impact of social distancing? Mask wearing? Improvement of ventilation systems? However, in the face of the ever rising Cases, we wanted to explore how changes on an individual level might change the overall spread of an epidemic on a larger scale.
For our capstone we tried to build a model that is specifically designed to showcase the impact of household level precautionary behavior on the spread a disease at a state level. The above link goes to the website we created for this class that walks through our model and how we created it!
My particular contribution to this project focused mostly on the implementation. This involved modeling different kinds of networks, figuring out how to nest them to become one network, and running simulations of an epidemic on those networks. I had not actually had a chance to complete a project in Python, and it was fun to get a better grasp on the language through this work.
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