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Laboratory experiments have shown that cardiovascular diseases are positivelycorrelated to the concentration of ambient air pollutants, such as SO2, NO2,PM10, etc. It has also been repeatedly reported in many countries thatincreased concentration of ambient air pollutants leads to rise in hospitalemergency room visitss for these diseases. These studies mainly adopt eitherregression analysis or preliminary models in time series analysis, while themultivariable transfer function model, a relatively newly developed model, hasmultiple advantages over the conventional linear regression on analyzing timeseries. This study attempts to quantify the association between concentrationsambient air pollutants and hospital emergency room visitss forcerebro-cardiovascular diseases in Beijing using a Poisson-type multivariatetransfer function model. The results show that the RR values of SO2, NO2 andPM10 for a 50 g/m3 increase are 1.129, 1.092 and 1.069 respectively. The lagsfor the three pollutants are estimated to be 2 days, 1 day and 1 dayrespectively. Compared with the ambient pollutants, daily average temperatureand relative humidity do not influence the daily count of hospital emergencyroom visits significantly.

Poisson-type Multivariate Transfer Function Model Reveals Short-term  Effects of Ambient Air Pollutants on Hospital Emergency room Visits for  Cerebro-cardiovascular Diseases