Simulation and Evaluation of Precaution Strategies for COVID-19 Pandemic: A Case Study

The world now is living in Corona Virus Disease (COVID-19) pandemic era, which forced almost all businesses and companies to lockdown, which as a result led to economic fluctuation and social issues. Some precautions strategies were introduced and applied by governments to allow businesses to reopen to the public. This paper aims to model an agent-based crowd simulation using unity game engine with C# programming language in order to explore the effectiveness of the current precautions to limit the spread of COVID-19. Two important models are adopted in this work, which are the SIR disease spreading model and the homogeneous mixing behavior model. Utilizing these models, several parameters are chosen to control the viral spread among the agents in five different realistic scenarios. After several simulations, it was determined that the number of agents in the scene and wearing masks have the highest impact on limiting the viral spread.