Simulating a Pandemic

Visually simulating how a pandemic could spread through a population by changing hyperparameters like size, infection rate, lethality, etc.

Libraries/Packages

• Python 3
  • Pandas
  • NumPy
  • Matplotlib
  • Numba

Scenarios

First scenario

• The first scenario emulates no social distancing in which a virus spreads rampant through the population, providing immunity for everyone who doesn't die.

Second scenario

• The second scenario emulates complete social distancing in which people keep a constant distance (when possible) from those who are infected and symptomatic.

Third scenario

• The third scenario emulates some social distancing in which some people choose to comply with social distancing guidelines and some don't.

Fourth scenario

• The fourth scenario includes a common destination that the population visits (emulating a supermarket or bank).

Improvements/Additions

Data Visualization

• Add contact tracing abilities when a patient is infectious.

• Add tracing to find Patient Zero.

Speed

• Improve the efficiency by changing over to NumPy instead of Pandas and compile with Numba.