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COVID Simulation: Model the Spread, Evaluate Interventions

Dive into COVID Simulation, a realistic and visually compelling simulation designed to model the spread of COVID-19 in a store setting. Based on user-defined parameters, this simulation provides valuable insights into the effectiveness of preventative measures. Explore the dynamics of airborne transmission using a mathematical framework derived from the American Institute of Physics, brought to life in a 3D virtual environment populated with artificially intelligent shoppers.

Customize Your Simulation Parameters

Tailor your simulation experience! Choose initial values and parameters, including the number of shoppers, initially infectious individuals, and critical preventative measures such as mask usage (surgical vs. N95) and vaccination status. Fine-tune the environment to reflect real-world scenarios and analyze how these factors impact transmission rates.

Realistic Shopper Behavior in a 3D Supermarket

Witness the simulation unfold in a detailed 3D supermarket environment. Observe individually simulated people exhibiting realistic shopper behavior. Shoppers will navigate aisles, browse items, and spend time selecting products, mimicking the patterns of real-life customers. Each shopper spends a random amount of time shopping, ensuring a varied and dynamic simulation. This provides a complete shopping “cycle” within the simulation's timeframe.

Observe Viral Spread Visually

The dynamics of the infection come to life before your eyes! See the visual representation of the virus spreading throughout the store. Ground tiles change color intensity (red) proportional to the concentration of viral particles on them. Clearly identify shopper status: red indicates infectious, yellow denotes infected (but not yet infectious), and white signifies healthy individuals.

Real-Time Statistics and Performance Analysis

Monitor key simulation statistics in real-time on the panel, located on the right side of the screen. Stay informed with metrics such as the number of infectious, infected, and healthy shoppers; the effective reproductive number (R); the current store population; the number of exposed individuals; remaining simulation time; and various other metrics. The simulation concludes once all shoppers have exited the area, and you can adjust the simulation speed to expedite observation.

Evaluate Preventive Measures and Reduce Transmission

The primary goal is providing a platform to evaluate preventative measures and their impact on viral spreading. Compare simulations with identical shopper counts and initial infections, but with varying conditions like surgical mask use and vaccination to observe the effect on the effective reproductive number (R). Understand how interventions like mask-wearing can theoretically reduce new infections and inform strategies for mitigating viral spread.