From Social Behavior to Network Structure for Animal Disease Transmission

Past studies examining the disease costs of sociality have generally explored hypotheses that link larger group size to higher rates of infection transmission. However, beyond a simple dependence on group size, infection spread is largely influenced by the organization of infection-spreading interactions between individuals. In this talk, I will consider how we can use tools from network analysis with a meta-analytic approach to broadly understand the disease consequences of sociality from the individual level to the population scale, and the role of transmission mode in predicting network structure.