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In this project you will solve model equations describing the time-evolution of healthy and infected people in connected populations. Different strategies for minimizing effects of a disease, such as vaccination, should be studied. Your job is:

  1. choose your “favorite” disease and favorite cities
  2. figure out, using “appropriate” sources, realistic parameters for that disease.
  3. include realistic parameters for traveling dynamics between populations.
  4. solve the appropriate rate equations numerically
  5. investigate the effect of vaccination or quarantine on disease spreading patterns.

Realistic Parameters:

α: 0.33 (for all 3 cities)

New York: β: 0.60 N: 19.84 million I₀: 1984

California: β: 0.53 N: 39.14 million I₀: 3914

Texas: β: 0.47 N: 30.03 million I₀: 3003

324,153 people in the US gets vaccinated each day 324153/333,300,00 = 0.00097

gamma= 0.00097

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Modelling in Computational Science Project 2

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