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Simulation 5: Initial Immunity

The following simulation was custom developed and designed specifically for the MIT BLOSSOMS Project to build on the concepts covered in the video lectures.

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Simulation Parameters:

Parameter Description Allowed Values
N Population Size Input Value: Between 4 and 50
R0 Basic Reproductive Number Fixed: 2
I Initial Immunity Input Value: Between 0 and N

Simulation Description:

In this simulation, you will experiment with flu spread with a basic reproductive number fixed to 2. When R0= 2, every person has 2 contacts deterministically. You can run the simulation by varying the population size and setting initial immunity (the number of people who are immune in the population) from the start and observe the flu spread. Naturally, when a person is immune, they still can be considered as a possible target to infect. Note the number of 'Susceptible' people at the end of each simulation run.

Simulation Instructions:

  • You may wish to switch to full-screen view using the icon Full Screen Icon on the top right corner.
  • Throughout the simulation, you will be directed to next steps.
  • The top bar shown above has the following items:
    • List of parameters used and their values
    • A timer that shows the progress of time in days. When the simulation is running, you could choose to pause the run, then replay it using the 'Pause/Play' button underneath the timer.
    • A color-coded legend indicating the numbers of each state in the population as the flu spreads.
  • At the end of a simulation run, you may view a report on the flu spread statistics along with a graphical representation.
  • You may re-run the simulation on a different population size and initial immunity level by pressing the 'Reset' button.