Related Experiment Video
Updated: Jul 23, 2025

Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
Published on: November 5, 2021
Covid-19 Policy Convergence in Response to Knightian Uncertainty
Anthony M Sayers1, Christa Scholtz2, Dave Armstrong3
1Department of Political Science, University of Calgary, Calgary, AB, Canada.
Abstract:
Domestic policy responses to COVID-19 were remarkably consistent during the early days of the pandemic. What explains this policy convergence? Our formal model suggests that the novel character of COVID-19 produced a period of maximum policy uncertainty, incentivizing political actors to converge on a common set of policies to minimize their exposure to electoral punishment. This convergence is likely to break down as policy feedback produces opinion divergence among experts and the public and as politicians recalculate the costs and benefits of various policy responses and under some conditions facing incentives to adopt extreme policies.
Related Concept Videos
Uncertainty: Overview
Propagation of Uncertainty from Systematic Error
Propagation of Uncertainty from Random Error
Uncertainty: Confidence Intervals
Causality in Epidemiology
Principles of Disease Surveillance

