Delayed Policy Impact on COVID-19: A Data-Driven Assessment Based on Health-Level Clusters

• In Event: Computational Methodologies in Analyzing Political Discourse

Brief Overview

During COVID-19, governments enacted policies to curb virus but were blind to their expectation. This study quantifies the time lag between policy and outcomes for 167 countries, offering insights into worldwide responsiveness in political science.

Author

• Stanley Jiaying Yi, The University of Chicago