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Incorporating Disgust as Disease-Avoidant Behavior in an Agent-Based Epidemic Model

  • Christopher R. WilliamsEmail author
  • Armin R. Mikler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9708)

Abstract

Kiesecker et al. demonstrated disgust behavior in nature in 1999, and further research has shown that humans also exhibit disgust as part of the “behavioral immune system” [5, 8]. We present preliminary results from an agent-based model incorporating disgust as disease-avoidant behavior, the SLIPR model (susceptible, latent, infectious, presenting, removed), a modification and extension of the traditional SEIR model (susceptible, exposed, infectious, removed). The SLIPR model restructures the compartments of the SEIR model to allow for a distinct period of infectiousness occurring prior to visible disease presentation and extends it by simulating disgust as disease-avoidant behavior. SLIPR suggests that, for specific values of parameters such as disgust magnitude and population density, this disease-avoidant behavior significantly affects the spread of disease.

Keywords

Agent-based modeling Computational epidemiology Behavior modeling Emotion 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.University of North TexasDentonUSA

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