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

Learning Bayesian Statistics

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Intro

This chapter explores the intricacies of infectious disease modeling and epidemic forecasting through Bayesian methods while addressing challenges like data uncertainty. It emphasizes the importance of effective communication in public policy and examines the role of automation and AI in improving epidemic responses.

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