We use a popular fictional disease, zombies, in order to introduce techniques
used in modern epidemiology modelling, and ideas and techniques used in the
numerical study of critical phenomenon. 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.
Description
You Can Run, You Can Hide: The Epidemiology and Statistical Mechanics of
Zombies
%0 Journal Article
%1 alemi2015epidemiology
%A Alemi, Alexander A.
%A Bierbaum, Matthew
%A Myers, Christopher R.
%A Sethna, James P.
%D 2015
%K epidemiology mechanics statistical
%T You Can Run, You Can Hide: The Epidemiology and Statistical Mechanics of
Zombies
%U http://arxiv.org/abs/1503.01104
%X We use a popular fictional disease, zombies, in order to introduce techniques
used in modern epidemiology modelling, and ideas and techniques used in the
numerical study of critical phenomenon. 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.
@article{alemi2015epidemiology,
abstract = {We use a popular fictional disease, zombies, in order to introduce techniques
used in modern epidemiology modelling, and ideas and techniques used in the
numerical study of critical phenomenon. 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.},
added-at = {2015-03-04T17:26:29.000+0100},
author = {Alemi, Alexander A. and Bierbaum, Matthew and Myers, Christopher R. and Sethna, James P.},
biburl = {https://www.bibsonomy.org/bibtex/2b0e26bfc9ef643186bf03f8259940896/sz1979},
description = {You Can Run, You Can Hide: The Epidemiology and Statistical Mechanics of
Zombies},
interhash = {3809a835edf35c10824ff89c139c1d8c},
intrahash = {b0e26bfc9ef643186bf03f8259940896},
keywords = {epidemiology mechanics statistical},
note = {cite arxiv:1503.01104Comment: 12 pages, 13 figures},
timestamp = {2015-03-04T17:26:29.000+0100},
title = {You Can Run, You Can Hide: The Epidemiology and Statistical Mechanics of
Zombies},
url = {http://arxiv.org/abs/1503.01104},
year = 2015
}