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This project focuses on creating an agent-based simulation model to understand the spread of COVID-19 within a population and evaluate the effectiveness of various mitigation strategies. Implemented in Python using the Mesa library, the simulation incorporates diverse parameters and scenarios to represent real-world complexities.

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This project focuses on creating an agent-based simulation model to understand the spread of COVID-19 within a population and evaluate the effectiveness of various mitigation strategies. Implemented in Python using the Mesa library, the simulation incorporates diverse parameters and scenarios to represent real-world complexities.

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This project focuses on creating an agent-based simulation model to understand the spread of COVID-19 within a population and evaluate the effectiveness of various mitigation strategies. Implemented in Python using the Mesa library, the simulation incorporates diverse parameters and scenarios to represent real-world complexities.

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