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Explore how diseases spread through populations and discover how mathematical modeling and statistical analysis serve as crucial tools for understanding transmission dynamics in this comprehensive lecture by Professor Christl Donnelly. Learn from case studies of past epidemics and endemic diseases affecting livestock, wildlife, and human populations to understand how quantitative frameworks help decode complex transmission systems. Examine recent advances that incorporate novel data sources, contact network analysis, and rigorous uncertainty approaches while discussing current challenges facing quantitative epidemiology. Gain insights into evidence-based policy development for both human and animal health through the lens of statistical epidemiology and applied mathematics, presented by a leading expert who holds positions at both the University of Oxford and Imperial College London.
