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Attend this online lecture to explore how engineering principles from communication systems can be applied to model and control infectious disease spread. Learn about the intersection of modeling, control, and learning strategies originally developed for communication engineering and their adaptation for designing effective testing and vaccination strategies under resource constraints. Discover how mathematical frameworks used in network engineering can help understand disease transmission dynamics and optimize public health interventions. Examine the complex relationship between disease evolution and public opinion formation regarding health measures. The presentation will demonstrate practical applications of engineering methodologies to epidemiological challenges, showing how cross-disciplinary approaches can enhance our understanding of infectious disease control. Gain insights into resource allocation strategies for testing and vaccination programs, and understand how engineering optimization techniques can inform public health policy decisions during disease outbreaks.
