COVID-19 Spread Simulation on Real Human Interaction Data

• Saeed Hadadan, Sungbok Shin, Nakul Garg, Hannah Bako

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• 2020

Information Visualization UMD course project; The novel Coronavirus Disease 2019 (COVID-19) brought the world to an almost complete halt in the first and second quarters of 2020. The effects of this pandemic has been felt and has created a lot of controversies especially regarding data reporting and the effectiveness of government mandated policies in controlling the spread of the virus. In this project we embark on understanding these controversies by using real-world data on physical human interaction to simulate the effects of these policies with respect to controlling the spread of the virus. We provide an interface where you can microscopically visualize how COVID-19 is propagated in a community and your personal choices (e.g., masking, testing, quarantining, etc.) affect the propagation of this virus.