This virtual talk by CSH’s Peter Klimek and Katja Mayer (University of Vienna) was held on 22 November 2021 as part of the DigiGov Lecture Series @ University of Vienna “Governing Algorithms: The Politics of Data and Decision-Making.”
Abstract:
The quantitative assessment of the effectiveness of non-pharmaceutical interventions to combat SARS-CoV-2 is critical to be better prepared for future crises. Since the effectiveness of such interventions results from the interplay of many factors (timing of implementation, accompanying measures, local and cultural context, …), complex computational and simulation models are needed to isolate the effects of individual interventions and assess their impact on infection incidence. We discuss the current state of knowledge on assessing the effectiveness of individual pandemic response measures, their limitations, and the extent to which this knowledge has been incorporated into decision-making processes.