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Formation of COVID-19 policy must cope with substantial uncertainties about the nature of the disease, the dynamics of transmission, and behavioral responses. Data uncertainties limit knowledge of the trajectory of the pandemic and the effectiveness of treatments. Data and modeling uncertainties limit our ability to predict the impacts of alternative policies. Professor Manski will cover work quantifying basic data uncertainties and explain why current epidemiological and macroeconomic modeling cannot deliver realistically optimal policy. He will also discuss approaches for policy choice that face up to uncertainty and specifically suggest adaptive policy diversification.  Possible applications of adaptive diversification include choice between suppression and mitigation strategies and choice of a process to allocate vaccines

 

To register for free, please click HERE

Forthcoming events

Social evolution and social engineering in bacterial infection

Monday, 26 February 2024, 1pm to 2pm @ BDI/OxPop Building LG seminar rooms

What can genotyping studies tell us about on-farm transmission routes of Campylobacter?

Monday, 04 March 2024, 1pm to 2pm @ BDI/OxPop Building LG seminar rooms

Oxford Festival of Global Health - Lovesick

Thursday, 07 March 2024, 4pm to 8pm @ The Curzon Cinema, The Westgate, Oxford

Title TBC

Monday, 15 April 2024, 1pm to 2pm @ BDI/OxPop Building LG seminar rooms