Time Series Analysis Of Some Air Pollutions And Daily Hospital Total Visits, Visits Of Department Of Respiration And Cardiovascular Of A Hospital In Lu’an City

Objective To understand the quality of the atmosphere and the characteristics of the changes in Lu’an, and to help the relevant departments to take measures to control the air pollution. To investigate the relationship between the total amount of outpatient department, respiratory department of internal medicine and cardiovascular system, improve the degree of attention of the residents to air pollution, and provide basis for preventing and controlling air pollution.Methods The time series of generalized additive Poisson regression model was used to analyze the relationship between the concentrations of, and SO₂ in the air pollutants from January 1,2012 to December 31,2013 in Lu’an, and the relationship between the total amount of NO₂、PM10and the total number of visits of Outpatient Department in Lu’an city.Results （1） The average concentration of SO₂, NO₂ and PM10 in air pollutants were 31.5 μg/m³,41.5μg/m³ and 71.0μg/m³ in Lu’an city, the three are in line with the national standard of air quality in two levels; the average temperature, daily average relative humidity, and daily mean air pressure are 16.5,69.6%,1006.7kPa.（2） During the study period, the total amount of the hospital outpatient service was 1157800, and the average daily volume of 1583.9. The total number of outpatients in the Department of internal medicine and the total number of cardiovascular department of internal medicine were 23892 and 50984, respectively, and the daily rate of 32.7 and 69.7.（3） The outpatient visits with various pollutants and meteorological factors of Spearman correlation analysis results show that there is an obvious positive correlation with the daily total outpatient visits and SO₂ and the average temperature, but an obvious negative correlation with the daily total outpatient visits and NO₂, PM10 and average pressure. There are obvious positive correlations with the daily respiratory and cardiovascular outpatient visits and NO₂, PM10 and the average temperature. Meanwhile, there is an obvious negative correlation with the daily cardiovascular outpatient visits and SO₂ and the average air pressure.（4） The effect of different pollutants on the health effects of different pollutants in the single model is different. SO₂, PM10 on the total number of hospital days for the number of days were 4 days and 3 days, the total number of outpatient visits to the most obvious, NO₂ has an immediate but no delay effect; the concentration of SO₂NO₂, PM10increased by 10g/m³ per day, the total number of outpatient visits increased by-0.889%（RR=0.999111,95%CI:0.998857-0.999366）,1.429%（RR=1.001429, 95%CI:1.001217,1.001640）,0.432%（RR=1.000432,95%CI:1.000368,1.000496）. There was no significant effect of SO₂ concentration on the amount of outpatient service in the Department of internal medicine, and the protective effect of the disease in the cardiovascular system, and the concentration of 10μg/m³ in the lag of 3d （95%CI:0.9975-0.9998）. The NO₂ and PM10 concentrations of 3d were significantly influenced by, and the corresponding RR maximum of 10μg/m³ was 1.0015 （95%CI:1.0001-1.0029）,1.00073 （95%CI:1.0003-1.0012）, respectively. NO₂, PM10 concentrations were lagging behind 3d,4d for cardiovascular system disease, the influence of the most obvious, the concentration of 10μg/m³ its corresponding RR maximum value was 1.0022 （95%CI:1.0012-1.0031）,1.00054 （95%CI:1.0002-1.0008）.（5） In the model, the health effects of all pollutants are higher than that of the single model, and the correlation between the concentration of pollutants and the total number of hospital days is not changed.Conclusion NO₂ and PM10 were positively correlated with the total amount of hospital day in the air pollutant, and the relationship between SO₂ and the total amount of hospital day was negative. There is a negative correlation between the amount of SO₂ in the air pollutant and the outpatient service in the Department of internal medicine, and the amount of the cardiovascular system is negative. NO₂, PM10 and the hospital respiratory department of internal medicine outpatient volume, cardiovascular system disease outpatient amount is positively related.