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🧬 Epidemiology

Zombie Apocalypse

What if the infection bites back? A tongue-in-cheek version of a real epidemic model: humans fight zombies, lose and turn, or win and remove them — unless the dead rise again. Who survives?

EpidemiologyJust for funModelling
Inputs
Input examples
Each zombie runs into some humans every day. In every fight the human either wins (the zombie is removed) or is bitten and turns. Removed zombies may rise again after a while.
The zombies
The town

Real Science, Silly Premise

This tab is based on a real research paper: Munz, Hudea, Imad and Smith? (2009) used the mathematics of epidemics to model a zombie outbreak — a playful way to teach how infectious diseases spread. Humans who lose a fight become infectious themselves, so the zombie count grows exactly like an epidemic.

The paper’s sobering conclusion: unless humans win most fights quickly, a single zombie can overrun a city within days — and if the removed rise again, only fast, aggressive action saves humanity. Try a town where people win 65% of the fights, then let the dead rise after two days.

win < 50%zombies multiply
win > 50%zombies die out…
rising dead…unless they come back
speedact on day one

Humans vs. Zombies

SZR model
humans
zombies
removed (for now)
Result
Enter the values above

How the Model Works

Fights

With c fights per zombie per day and a human win chance p, the bite rate β and the removal rate α follow directly; fights become rarer as humans run out.

Example: 
Who Grows Faster?

If humans lose more fights than they win (β > α), the zombie population grows like an epidemic. Rising dead (ζ > 0) feed zombies back in even when humans win.

No Births, No Escape

Nobody enters or leaves the town during the outbreak, so humans, zombies and removed always add up to the starting population.

Sources & Verification

References
  1. P. Munz, I. Hudea, J. Imad & R. J. Smith?, “When zombies attack!: Mathematical modelling of an outbreak of zombie infection”, in J. M. Tchuenche & C. Chiyaka (eds.), Infectious Disease Modelling Research Progress, Nova Science Publishers, 2009, pp. 133–150.
  2. M. J. Keeling & P. Rohani, Modeling Infectious Diseases in Humans and Animals, Princeton University Press, 2008 — Ch. 2 (Introduction to Simple Epidemic Models).