Figure legends
Figure 1. A. CE counts by age and sex. B. Seasonal variations according to age group. C. Seasonal variations of air pollutants and environmental factors according to time series.
Figure 2. Lag-specific effect and lag-cumulative effect of air pollutants. A. PM10. B. NO2. C. SO2. D. SS. E. WS.
Lag day 0: current day; Lag day 1: 1 day previously, to Lag day 10: 10 days previously.
Figure 3. A. Heat-map of PM10 stratified by concentration and lag day effect. B. 3D image of PM10 stratified by concentration and lag day effect.
Lag day 0: current day; Lag day 1: 1 day previously, to Lag day 10: 10 days previously.
Table 1. DLNM model selection process through quasi Akaike information criterion (QAIC) and a partial autocorrelation function (PACF) (Abbreviations: M1, model 1; M2, model 2; M3, model 3; M4, model 4; M5, model 5; M6, model 6; M7, model 7; M8, model 8; M9, model 9; PM10, Particulate matter less than 10 µm; NO2, Nitrogen dioxide; SO2, Sulfur dioxide; WS, Wind speed; SS, Solar sunshine; O3, ozone; HM, humidity; CO, Carbon monoxide; DTR; diurnal temperature range; QAIC, quasi Akaike information criterion; PACF, partial autocorrelation function; DOW, Day of Week; RR, Risk ratio