This Python project simulates and plots various infection models: SIR, SIRD, and SIER.

This simulation utilizes three distinct infection models:

• SIR Model: Tracks the number of individuals susceptible (S), infected (I), and recovered (R).
• SIRD Model: Extends the SIR model by incorporating a category for deaths (D).
• SIER Model: Enhances the SIRD model by introducing an exposed category (E) before individuals become infectious.

• Python 3.x
• Required Python packages (install via pip install -r requirements.txt)

1. Clone this repository (git clone https://github.com/sa4dus/infection_models).
2. Navigate to the project directory (cd infection_models).

To run the simulation, execute the main script using the command line:

python main.py <model> [--parameter_name parameter_value]

Replace <model> with the desired infection model: SIR, SIRD, or SIER.

You can specify model parameters (optional). If not specified, default values will be used.

The following parameters can be adjusted for each model:

• BETA: Transmission rate
• GAMMA: Recovery rate
• DELTA: Death rate (for SIRD and SIER models)
• ALPHA: Exposed to infectious rate (for SIER model)
• S0: Initial proportion of susceptible individuals
• I0: Initial proportion of infected individuals
• R0: Initial proportion of recovered individuals
• D0: Initial proportion of deceased individuals (for SIRD and SIER models)
• T_MAX: Maximum time for simulation (in days)

Example 1: Run the SIR model with default parameters:

python main.py SIR

Example 2: Run the SIRD model with custom parameters:

python main.py SIRD --BETA 0.3 --GAMMA 0.04 --DELTA 0.02

The simulation generates a plot visualizing the progression of the chosen infection model based on the provided or default parameters.

• If additional parameters are provided but not used for the selected model, a warning will be displayed.
• To interrupt the script, use Ctrl+C.