CS205 Final Project

Cooper Lorsung • Sujay Thakur • Royce Yap • David Zheng


Introduction   Overview   Big Data   Big Compute   Results and Discussion   Citations  
GitHub

Project Overview

With the outbreak of the SARS-CoV-2 pandemic, there has been an increase in work undertaken to model the spread of the virus. Our project adds a geographical dimension by modelling the US as a grid of square-miles, before applying a spatial version of the well-established SIR (Susceptible, Infectious, Recovered) model to estimate the spread of the virus across the US.

Our project employs the use of key Big Data and Big Compute concepts taught in this class, supplemented by context-specific knowledge about the disease transmission models.