This is a Python-based simulation that models the spread of COVID-19 within a community, with parameters for wearing masks and travel restrictions. The simulation calculates the number of infected, hospitalized, recovered, and fatality cases over a specified period. The model takes into account age groups (children, adults, senior citizens) and various probabilities for infection, recovery, and fatality.
- Infection Probability: Varies based on the individual's age group and whether they are wearing a mask.
- Recovery and Fatality: Simulates the recovery process (either via hospitalization or immunity) and tracks fatalities.
- Family Spread: Models the spread of the virus within families, where family members have a higher chance of being infected if one person is already infected.
- Input Handling: Allows for user input on whether masks are being worn or if travel restrictions are in place.
- Dynamic Data Collection: Tracks statistics (infected, hospitalized, recovered, fatalities) on a daily basis.
- Visualization: Graphs the daily counts of infections, hospitalizations, recoveries, and fatalities.
- Python 3
matplotlibfor data visualization
To install the required dependencies, run the following:
pip install matplotlib