Virtual labs use simulation software to create interactive models of epidemiological processes. These models can be manipulated in real-time to observe the effects of various variables on disease dynamics. Users can input different parameters, such as infection rates, recovery rates, and population density, to see how these factors influence disease spread. Advanced virtual labs may also incorporate machine learning algorithms to predict outcomes based on historical data.
