This paper presents novel analyses using hierarchical Bayesian models to estimate the effectiveness of nonpharmaceutical interventions in order to reduce COVID-19 spread. All reviewers agreed on the significance of the analyses, and major concerns and questions were resolved by author feedback very successfully. Given the extraordinary importance of research on this subject at present times, we have explicitly called out in our call for papers. Therefore, this paper is above the bar for acceptance to NeurIPS.