Epidemic Modeling with Discrete Space Scheduled Walkers

This exploratory paper outlines an epidemic simulator built on data-driven modeling of the spread of a disease. The intent of the model is to provide insight into how a disease may reach a tipping point, spreading to epidemic and uncontrollable proportions. In contrast to analytical methods, simulation is arguably an effective means of gaining a better understanding of how a disease may spread within a population. There are a large number of theoretical models that can be applied to epidemics, all attempting to capture the basic phenomenon of disease dynamics. Our conjecture is to use data-driven models that are reasonable, realistic, and practical in an attempt to demonstrate their efficacy in studying the epidemic phenomenon.