Pandemic Simulator

Nazar Zaki, Tetiana Habuza and Stefanache Cornel
Big Data Analytics Center (BiDAC), UAEU

Researchers from the Big Data Analytics Center (BiDAC) are currently developing a Pandemic Simulator to provide a better understanding of the effects of social distancing and isolation on the development of the pandemic. To model the virus behavior, a settings panel is provided to explore the spreading characteristics in small, medium or large cities. The Simulator is user friendly and intuitive for technical and non-technical users. It has four settings for the simulation of social distancing that would allow/disallow: to work, visit other houses, visit social areas or go to school. All probabilities can be set before the initialization of the simulation or during the runtime to observe the effects during a pandemic.

The Simulator is accessible at https://bi-dac.com/simulator/. The team is currently extending its support to answer questions such as what would happen if schools, social areas and workplaces are gradually reopened?