zombie_ode

zombie_ode, a Python code which sets up a system of ordinary differential equations (ODE) for a generalized Susceptible/Infected/Recovered (SIR) epidemic model that simulates a zombie attack, by Philip Munz.

Licensing:

The information on this web page is distributed under the MIT license.

Languages:

zombie_ode is available in a MATLAB version and an Octave version and a Python version.

Related Data and codes:

python_ode, a Python code which sets up various systems of ordinary differential equations (ODE).

Author:

Original MATLAB version by Philip Munz. This version by John Burkardt.

Reference:

1. David Griffiths, Desmond Higham,
   Numerical Methods for Ordinary Differential Equations,
   Springer, 2010,
   ISBN13: 978-0-85729-147-9.
2. Philip Munz, Ioan Hudea, Joe Imad, Robert Smith,
   When Zombies Attack!: Mathematical Modelling of an Outbreak of Zombie Infection,
   Infection Disease Modelling Progress,
   Editors: J M Tchuenche, C Chiyaka,
   Nova Science Publishers, 2009.

Source Code:

• zombie_ode.py, the source code;
• zombie_ode.sh, runs all the tests;
• zombie_ode.txt, the output file.

• zombie_ode_plot.png, displays the evolution of the three populations over time.
• zombie_ode_conserved.png, displays the evolution of the conserved quantity over time.