Abstract: In response to the outbreak of the Covid-19 pandemic, governments worldwide have introduced multiple restriction policies, known as non-pharmaceutical interventions (NPIs). However, there still remains uncertainty about the relative impact of such policies. In this work, we quantitatively assess the eectiveness of NPIs using a causal inference approach. We gather geospatial data to study the eect size of dierent NPIs as measured by change of the reproduction number and mobility trends. Our analysis includes the most frequent NPIs that were appl...
(read more)