Before revision: Considerable analytical work during the COVID-19 pandemic has been devoted to developing predictive models to evaluate the merits of potential governmental interventions versus the cost of not carrying them out. These prospective modeling efforts are based on formal assumptions, like the choice of epidemiological mode, and on the extrapolation of past timecourse data to the future. As both these aspects carry substantial potential for error, trusted models used by decision-makers of public policy undergo nearly continuous revision cycles. Less methodologically developed is to assess retrospectively the effects these interventions had .
After revision: Considerable analytical work during the COVID-19 pandemic has been devoted to developing predictive models to evaluate the merits of potential governmental interventions . However, the analysis of the effects these interventions had .