Computer simulation has been used for decades by researchers, engineers, problem solvers, and policy makers in many fields, including the study of infectious disease.
Unity Simulation enables a special kind of real-time simulation that can be scaled on the cloud to holistically study large, complex, and uncertain systems.
A team at Unity built a simplified demonstration project to simulate coronavirus spread in a fictitious grocery store and explored the impact that store policy has on exposure rates. We’ve made the full source code for this project available on GitHub for anyone to extend.
Click here to interact with our grocery store simulation and check out our whitepaper below to learn more.
Disclaimer: The project referenced in this post (including all information and data associated with it) is “as is” and “as available.” You are solely responsible for your use of the project, and Unity Technologies and its affiliates make no representations or warranties of any kind concerning the project or its use; see license terms for details.
Without limiting the foregoing, we want to be absolutely clear: We are not epidemiologists or doctors. Nothing in this project can or should be taken as medical or other guidance or advice of any kind. This is a conceptual model based on simplified rules. It is not scientifically validated. For guidance or advice concerning the novel coronavirus, how it is spread, what steps you might take to avoid infection, or anything else health-related, consult a competent health professional.
