Fig. 5: The heterogeneous impacts of SAPs on deaths.
From: Short- and medium-term impacts of strict anti-contagion policies on non-COVID-19 mortality in China
a–f, Separate DiD regressions where the outcome variable is daily number of non-COVID-19-related deaths (a) and deaths due to CVDs (b), injury (c), ALRIs (d), CLRIs (e) and neoplasms (f). Dots and bars represent the point estimates and their 95% confidence intervals of the interaction terms between the SAP dummy and the heterogeneous dimensions (Equation (4)). We use GDP per capita, number of hospital beds per 1,000,share of employment in manufacturing, initial air quality index and initial mortality rate as heterogeneous dimensions. The details of these data are described in Methods. These variables are standardized to have a mean 0 and standard deviation of 1 so that the coefficients of interaction terms are comparable across variables. The number of observations for each regression is 58,996, covering 602 DSPs (excluding 3 in Wuhan). We use data from 1 January to 7 April 2020. DSP and date fixed effects are included in each regression, and standard errors are clustered at DSP level. Full results are presented in Supplementary Table 5.
