• Open Access

You can run, you can hide: The epidemiology and statistical mechanics of zombies

Alexander A. Alemi, Matthew Bierbaum, Christopher R. Myers, and James P. Sethna
Phys. Rev. E 92, 052801 – Published 2 November 2015
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Abstract

We use a popular fictional disease, zombies, in order to introduce techniques used in modern epidemiology modeling, and ideas and techniques used in the numerical study of critical phenomena. We consider variants of zombie models, from fully connected continuous time dynamics to a full scale exact stochastic dynamic simulation of a zombie outbreak on the continental United States. Along the way, we offer a closed form analytical expression for the fully connected differential equation, and demonstrate that the single person per site two dimensional square lattice version of zombies lies in the percolation universality class. We end with a quantitative study of the full scale US outbreak, including the average susceptibility of different geographical regions.

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  • Received 4 June 2015

DOI:https://doi.org/10.1103/PhysRevE.92.052801

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

Published by the American Physical Society

Authors & Affiliations

Alexander A. Alemi1,*, Matthew Bierbaum1,†, Christopher R. Myers1,2,‡, and James P. Sethna1,§

  • 1Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, New York 14853, USA
  • 2Institute of Biotechnology, Cornell University, Ithaca, New York 14853, USA

  • *aaa244@cornell.edu
  • mkb72@cornell.edu
  • c.myers@cornell.edu
  • §sethna@lassp.cornell.edu

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Issue

Vol. 92, Iss. 5 — November 2015

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