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Adm. Sci. 2015, 5(1), 2-26;

Vaccination Games with Peer Effects in a Heterogeneous Hospital Worker Population

Department of Economics, Fordham University, 441 East Fordham Road, Bronx, NY 10458, USA
Carver College of Medicine, The University of Iowa, SW34-P GH, Iowa City, IA 52242, USA
Department of Computer Science, The University of Iowa, 14D MLH, Iowa City, IA 52242, USA
Author to whom correspondence should be addressed.
Academic Editor: Myong-Hun Chang
Received: 1 September 2014 / Accepted: 16 December 2014 / Published: 14 January 2015
(This article belongs to the Special Issue Computational Organization Theory)
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We develop a game theoretic model to analyze the Nash equilibrium of vaccine decisions in a hospital population with heterogeneous contacts. We use the model in conjunction with person-to-person contact data within a large university hospital. We simulate, using agent-based models, the probability of infection for various worker types in the data and use these probabilities to identify the Nash equilibrium vaccine choices of hospital workers. The analysis suggests that there may be large differences in vaccination rates among hospital worker groups. We extend the model to include peer effects within the game. The peer effects may create additional equilibria or may further cement existing equilibria depending on parameter values. Further, depending on the magnitude of the peer effects and the costs of infection and vaccination, peer effects may increase or decrease differences in worker group vaccination rates within the hospital. View Full-Text
Keywords: vaccination game; computational epidemiology; economic epidemiology; social networks vaccination game; computational epidemiology; economic epidemiology; social networks

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Tassier, T.; Polgreen, P.; Segre, A. Vaccination Games with Peer Effects in a Heterogeneous Hospital Worker Population. Adm. Sci. 2015, 5, 2-26.

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