Modeling and Simulating Human Vaccinating Behaviors On a Disease Diffusion Network

As human is the host of disease infection, its social interactions and vaccinating behaviors influence the dynamics of disease spreading. Previous disease diffusion models are mainly based on the homogeneous mixing assumption, which assumes that individuals in population are identical to each other in terms of disease infection. This assumption ignores inherent heterogeneities in both human contact patterns and individuals ’ possible behavioral choices. By comparison, we design a disease diffusion model, in which a SIV disease model transmits on a social contact network with scale free topology. We assume that each individual in population will make their self-interest decisions, vaccinating or not, according to the perceived payoff of different choice. Under the AOC modeling framework we incorporate human decision making features, e.g. self-interest choice, following neighbors, panic irrationality, etc, into individual’s behavioral sets, and observe how the individual-level decision making behaviors can directly determinate the global-level disease diffusion dynamics and inversely how the disease spreading influence individuals ’ vaccinating choices