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Learn to combat infectious diseases through computational modeling in this 31-minute conference talk from EuroPython 2025. Discover how to use Atomica, an open-source Python simulation engine, to build epidemiological models that evaluate public health interventions without the complexity of creating models from scratch. Explore the challenges of managing epidemics where optimal responses vary based on outbreak severity, available funding, and sociopolitical context, while infectious diseases claim over 13 million lives annually as the third leading cause of death worldwide. Master the process of leveraging population, transmission, and intervention data to forecast consequences of public health strategies in specific countries or settings. Gain hands-on experience simulating a real-world typhoid epidemic and optimizing funding distribution for maximum impact, with practical tools applicable whether you're a beginner or expert Python developer. Understand how this accessible modeling approach helps governments and health organizations make data-driven decisions that can save lives by determining the most effective interventions like vaccination, testing, and treatments within budget constraints.
