These models and simulations have been tagged “Migration”.
For this, we defined a world population size and a percentage of it who’s infected. Then, we created an agent where we simulated possible states of an individual.
So, he can be healthy, infected (with an infection rate) or immunized ( with a certain rate of immunization). If the individual is infected, he can be alive or dead. Then, we simulated different continents (North-America, Asia and Europe) with a migration between theses with a certain rate of migration (we tried to approach reality).
Then, thanks to our our move action which represent a circular permutation between the different continents with a random probability the agent will be applied to every individual of the world population.
How the program works ?
In order to use this insight needs to define a size of world population and a probability of every individual to reproduce himself.
Every individual of this population can have three different state (healthy, infected or immunized) and infected people can be alive or dead.
We need to define a percentage of infection to healthy people and a percentage of death for infected people and also a percentage of immunization.
Finally there is le migration part of the program, in this one we need to define three different continents, states or whatever you want. We also need to define a migration probability between each continent to move these person.
With this moving people we can study the influence of migration on the propagation of a disease.