Agent-based Simulation of COVID-19 Transmission

Chenxi Zhang


Supervised by Bailin Deng; Moderated by Xianfang Sun

The proposed projects will use agent-based modelling to simulate and visualise how COVID-19 spreads in the crowd. To keep things simple, we will run the simulation on a small population with a simple environment setting. A variety of factors will be explored, including: - Adherence to social distancing measure - Availability of mass testing - Hospital capacity - Quarantine measures - Asymptomatic patients

The student should be familiar with python or Java programming and has reasonable math skills.

Initial Plan (08/02/2021) [Zip Archive]

Final Report (14/05/2021) [Zip Archive]

Publication Form