Explore the frontiers of influenza forecasting in this lecture from the Stanislaw Ulam Memorial Lecture Series. Delve into the challenges public health agencies face in predicting seasonal epidemics and selecting appropriate virus strains for annual vaccines. Examine the complexities of anticipating deadly influenza pandemics. Learn how scientists are leveraging network models and diverse data sources, including health, social media, and molecular information, to address critical challenges in flu prediction. Investigate the potential limits of predictability in influenza forecasting. Gain insights into the history of public health, the differences between pandemics and seasonal flu, and the various interventions used to combat influenza. Discover the role of social distancing, antivirals, and vaccines in managing flu outbreaks. Analyze the use of health data, Google Flu Trends, and socio-environmental information in creating simulation models for forecasting seasonal epidemics and virus evolution. Read more