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

Cornell Affiliated Author(s)

Author

A.A. Alemi
M. Bierbaum
C.R. Myers
J.P. Sethna

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. © 2015 authors. Published by the American Physical Society. Published by the American Physical Society 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.

Date Published

Journal

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volume

92

Issue

5

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84947223858&doi=10.1103%2fPhysRevE.92.052801&partnerID=40&md5=45161fed0a620a32de8438facb043b53

DOI

10.1103/PhysRevE.92.052801

Research Area

Group (Lab)

Christopher Myers
James Sethna Group

Funding Source

1247696

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