Fig. 2: Short-term impacts of SAPs on non-COVID-19-related deaths.
From: Short- and medium-term impacts of strict anti-contagion policies on non-COVID-19 mortality in China
a,b, Impact of SAPs on number of non-COVID-19-related deaths (a) and percentage changes in deaths due to different causes (b). Dots and lines show point estimates and their 95% confidence interval, respectively. Each row in the figure represents a separate DiD regression using Equation (1). The number of observations for each regression is 58,996, covering 602 DSPs (excluding 3 DSPs in Wuhan). The outcome variable is the daily number of non-COVID-19-related deaths. We use mortality data from 1 January to 7 April 2020. The explanatory variable is a dummy indicating whether SAPs were implemented in a DSP’s city on a particular date. We compute the percentage change by combining the estimates from a and the mean values for each cause of death. For example, −4.58% in the first row of b is computed as −0.441/9.62 × 100%. DSP and date fixed effects are included in each regression, and the standard errors are clustered at DSP level. Full results are presented in Table 1.
