Establish an air quality health index based on the outpatient volume of respiratory diseases
Objective To explore the construction of air quality health index(AQHI)for respiratory diseases in Jinshan District of Shanghai City.Methods Daily outpatient visits for respiratory diseases,data of air pollutants[fine particulate matter(PM2.5),inhalable particles(PM 10),SO2,NO2,O3],and meteorological data(air pressure,temperatureand relative humidity)were collected from two comprehensive hospitals in Jinshan District of Shanghai City from 2017 to 2022.The AQHI based on respiratory diseases was calculated using a generalized additive model.Results The four pollutants had different impacts on the number of daily outpatient visits:PM2.5,NO2,SO2 and O3 had the greatest impact on the number ofdaily outpatient visits when the lag time was 3,3,9 and 0 days,respectively.For every 10 μg/m3 increase in PM2.5,NO2,SO2 and O3 concentrations,the excess risk(ER)was 1.07％(95％CI:0.61％-1.55％),1.89％(95％CI:0.95％-2.84％),16.14％(95％CI:11.30％-21.19％),and 0.76％(95％CI:0.43％-1.09％).According to the results of single and double pollutants,PM2.5,NO2,SO2 and O3 were selected to establish AQHI.From 2017 to 2022,AQHI showed a"right skewed distribution",with 98.95％days with AQHI＜6,and 40.76％days with AQHI of 3 and 22.82％days with AQHI of 4.Conclusion Air pollutants in Jinshan District of Shanghai City have an effect on the number of outpatient visits for respiratory diseases.AQHI can well reflect the health risk of air pollution exposure to respiratory system.
Air quality health indexAir pollutionDaily outpatient visits for respiratory diseases
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