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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

The epidemiology of periportal fibrosis in the context of intestinal schistosomiasis

Monday, 09 October 2023, 1pm to 2pm @ BDI/OxPop Building seminar rooms

Defeating Meningitis by 2023 Global Roadmap

Monday, 16 October 2023, 1pm to 2pm @ BDI/OxPop Building seminar room 1

OxPop Festival of Global Health - The Cancer Conflict

Thursday, 19 October 2023, 5pm to 8pm @ Richard Doll Lecture Theatre, Richard Doll Building, Roosevelt Drive, Oxford, OX3 7LF

Cancer Treatments: trust and information

Chronic infections and risk of NCDs in Chinese adults

Monday, 30 October 2023, 1pm to 2pm @ BBDI/OxPop Building seminar rooms