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Correlation Analysts Between Dust Events And The Number Of Outpatient About Childhood Respiratory Disorders In Changchun

Posted on:2015-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y L ShenFull Text:PDF
GTID:2254330428483184Subject:Nursing
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OBJECTIVETo explore dust events’ main characteristics of air pollutants in ChangchunCity and its influence on the number of outpatient about childhood respiratorydisorders, to establish the exposure response relationship for Changchun’dustevents; to better prevent and treat childhood respiratory disorders caused bydust particles. Provide advices on making effective health protectionmeasures against dust events, popularizing health protection knowledge, andlooking for more effective prevention and cure methods on childhoodrespiratory disorders caused by dust particles are presented for reference torelevant department. To promote children’s health, reduce disease burdenfrom childhood respiratory disorders for family and social.METHODS1. Data collection: The daily outpatient number of childhood respiratorydisorders from Month1stto May31stin2011,2012and2013were obtainedfrom6first class hospitals in Changchun City, respiratory diseases wereidentified by ICD-10, the code is J00to J99. Collecting dast events data anddaily meteorological data during the same period from Jilin MeteorologicalBureau, meteorological data including relative humidity, wind speed,precipitation, temperature and so on. Daily average concentrations of airpollutants including PM10, NO2and SO2were retrieved from the Chineseenvironment monitoring station.2. Statistical analysis: Data is entered using the2013version ofWindows office software and analyzed by SPSS17.0(Windows version2007)statistical software. The basic statistical methods include descriptive statistical analysis, single factor variance analysis, and Kruskal-Wallis H test.3. Time series analysis: Using R language and SPSS17.0statisticalsoftware for data modeling, time series analysis. After adjusting for thelong-term trend and random interference, the time series of non seasonaldifference auto-regressive model ARIMA (5,0,1)(0,0,0) was used to examinethe associations between dust events and the daily outpatient number ofchildhood respiratory disorders from Month1stto May31stin2011,2012and2013.RESULTS1. Changchun has had10dust events from Month1stto May31stin2011,2012and2013years, which consisted of2floating dust and8fly sand,Compared with non dust event days, visibility was significantly higher in2011and2013(P≤0.01), wind speed increased significantly in the blowing sandweather in2012and2013(P≤0.01), no significant difference in the2011floating dust, there was no significant difference in other indexes.2. Compared with non dust event days, the daily average concentration ofSO2and NO2was not significantly higher in dust events, the difference wasstatistically significant of daily average concentration of PM10(P≤0.05), thedaily average concentration of PM10in2011and2013has a highly statisticallysignificant differences in dust events (P≤0.01).3. The Kruskal-Wallis test revealed that there was a significant differencein the mean number of daily outpatient number of childhood respiratorydisorders between dust event days, post dust event days and non dust eventdays (P≤0.05).4. The ARIMA regression analyses show that, the dust events has aneffect to the number of daily outpatient number of childhood respiratorydisorders, and it’s a lagged effect, there was statistical significance in post dustevent days2and3.CONCLUSION1. Combined with the outpatient data and dust event data from Month1st to May31stin2011,2012and2013of Changchun City, build a non seasonalARIMA(5,0,1)(0,0,0).2. The dust events have effect on the air of Changchun City.3. The dust events from Month1stto May31stin2011,2012and2013ofChangchun City can increase the daily outpatient number of childhoodrespiratory disorders.4. Influence of the dust events from Month1stto May31stin2011,2012and2013of Changchun City on the daily outpatient number of childhoodrespiratory disorders is a lagged effect.
Keywords/Search Tags:the Dust Events, Childhood Respiratory Disorders, the Number of Outpatient
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