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. 2020 Aug 20;8(10):3378–3387.e11. doi: 10.1016/j.jaip.2020.07.057

Table E3.

Controlled interrupted time series regression analysis results for 4 criteria air pollutants

Variables PM2.5
Ozone
PM10
NO2
AirNow AirData AirNow AirData AirData AirData
Days (P value) −0.03 (.064) −0.05 (.002) 0.26 (<.0001) 0.27 (<.0001) −0.044 (.23) −0.07 (.04)
Year 2020 (P value) −3.51 (.0005) −3.58 (.0002) 2.18 (.25) 1.16 (.54) −5.40 (.004) −0.77 (.66)
Covid_restrictions (P value) −5.25 (.009) −4.56 (.019) 16.08 (<.0001) 12.90 (.0007) −0.52 (.88) −0.33 (.92)
Days × Year 2020 (P value) 0.0009 (.97) 0.02 (.41) −0.03 (.52) −0.04 (.42) −0.005 (.92) −0.01 (.70)
Days × Covid_restrictions (P value) 0.045 (.10) 0.05 (.04) −0.24 (<.0001) −0.2 (<.0001) 0.006 (.90) −0.001 (.98)
Year 2020 × Covid_restrictions (P value) 2.24 (.42) 1.56 (.56) −6.56 (.21) −3.48 (.51) −7.57 (.15) −5.5 (.26)
Days × Year 2020 × Covid_restrictions (P value) −0.005 (.88) −0.01 (.66) 0.09 (.2) 0.05 (.44) 0.08 (.27) 0.05 (.41)

Outcome was levels of each pollutant. Independent variables included days, referring to the 120 d between January 17 and May 17; year 2020, indicating whether it was the year 2020 or historical time period; covid_restrictions, indicating whether the measure was from before or after March 17. Each column corresponds to 1 model with indicated outcome variable and source of historical measures (AirNow or AirData). Terms in the model are indicated in each row. Values are coefficient estimate (P value).