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#130 The Real-World Impact of Epidemiological Models, with Adam Kucharski

Learning Bayesian Statistics

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Dynamics of Ideas and Disease Spread

This chapter explores the parallels between the spread of diseases and ideas, emphasizing the concept of 'patient thinking' in societal behaviors. It discusses the complexities of epidemiological modeling, including the iterative nature of developing models for public health and the importance of effective communication during crises. Through historical examples and a focus on Bayesian reasoning, the chapter highlights the collaborative efforts necessary to tackle epidemiological challenges and improve understanding of disease transmission.

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