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Abstract

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.

Keywords

Social Contact Host Resistance Potential Contact Sickness Behavior Strong Selective Pressure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Inc. 2006

Authors and Affiliations

  1. 1.David E. Geffen School of Medicine, UCLA AIDS Institute, the Norman Cousins Center, and UCLA Molecular Biology InstituteUniversity of CaliforniaLos Angeles

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