EPIDEMIC EVOLUTION
Cellular automaton

Introduction.

Why an epidemic disappears after having made many die? Why an epidemic remains latent?

It is to try to answers to these questions that I have realized this simulation.
The alone retained criteria are: the density of contagious or healthy populations, the period of contagion before the death. [This cellular automaton simulates the evolution of a contagion. 
This contagion can be mortal or immunizing.
This game(set,play) is customizable for the number of individuals of the healthy, vaccinated, contagious populations, as well as the life expectancy(cycle) of the sick.
For the immunizing contagions we add frail individuals.

The program is written in Javascript and was tested with " Google Chrome ".

Coronavirus. (Asian flu_ COVID-19)

This epidemic is mortal only for fragile persons.
No case of relapse has been observed at persons healed.
It does not exist vaccine.
Therefore to simulate the current epidemic, it is necessary to choose : "Immunizing contagion".
To put to the departure the parameter "Immunized" to zero.

The epidemic stops only when:

  • all contaminants are dead or immune.
  • 70% of the population is immunized or vaccinated.

Mortal contagion

Immunizing contagion

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