The Complexity of Dynamic Host Networks
Mathematical epidemiology has generally modeled host populations as homogeneous networks with static linkage structures. However, real hosts react biologically and behaviorally to disease in ways that dynamically alter network connectivity. This chapter summarizes results from agent-based modeling of disease-reactive social networks and their impact on the propagation of infections. Results show that simple distributed rules about “sickness behavior” can interact with nonhomogeneous social networks to destabilize propagation kinetics, augment biological immune responses, and favor the evolution of biological structures and cultural norms that function as a network-level social immune response.
KeywordsSocial Contact Host Resistance Potential Contact Sickness Behavior Strong Selective Pressure
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