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Munz2009 - Zombie SIZRC


ABSTRACT: Munz2009 - Zombie SIZRC This is the model with an latent infection and cure for zombies described in the article. This model was originally created by libAntimony v1.4 (using libSBML 3.4.1). This model is described in the article: When zombies attack!: Mathematical modelling of an outbreak of zombie infection P. Munz, I. Hudea, J. Imad and R.J. Smith? Infectious Disease Modelling Research Progress 2009, chapter 4, pp 133-150. Editors: Jean Michel Tchuenche and C. Chiyaka; Nova Science Publishers, Inc., NY, USA. Abstract: Zombies are a popular figure in pop culture/entertainment and they are usually portrayed as being brought about through an outbreak or epidemic. Consequently, we model a zombie attack, using biological assumptions based on popular zombie movies. We introduce a basic model for zombie infection, determine equilibria and their stability, and illustrate the outcome with numerical solutions. We then refine the model to introduce a latent period of zombification, whereby humans are infected, but not infectious, before becoming undead. We then modify the model to include the effects of possible quarantine or a cure. Finally, we examine the impact of regular, impulsive reductions in the number of zombies and derive conditions under which eradication can occur. We show that only quick, aggressive attacks can stave off the doomsday scenario: the collapse of society as zombies overtake us all. This model is hosted on BioModels Database and identified by: MODEL1008060001 . To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models . To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

DISEASE(S): Disease By Infectious Agent

SUBMITTER: Lukas Endler  

PROVIDER: BIOMD0000000882 | BioModels | 2020-01-20

REPOSITORIES: BioModels

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