The Application of Satellite Remote Sensing in Time-series Study of Associations between PM2.5 and Pediatric Asthma/Wheeze Emergency Departments Visits in Metropolitan Atlanta Open Access

Zhang, Xueying (2013)

Permanent URL: https://etd.library.emory.edu/concern/etds/ms35t877m?locale=en
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Abstract

An increase in emergency department visits for respiratory diseases was observed in association with the short-term exposure of ambient air pollution. This association was investigated among children from 5 to 17 years old due to their immature and sensitive respiratory system. Traditional air pollution studies have limitations of collecting data with inadequate coverage and coarse resolution. The satellite remote sensing (RS) technique may help resolve this problem. This study examined the association between RS modeled air pollution and pediatric asthma/wheeze emergency department (ED) visits in metropolitan Atlanta during 2001 through 2007. After controlling for meteorological and holiday effects, a 10 µg/m3 increase in three-day moving average PM2.5 was positively associated with ED visits, rate ratio (RR) = 1.026, 95% confidence interval (CI) = 1.014, 1.040. The seasonal specific RR is 1.024 (95% CI =0.998, 1.031) for warm season (May through October), and 1.043 (95% CI = 1.023, 1.064) for cold season (November through April). Compared to previous SOPHIA studies, our study obtained slightly different RR with a small range of differences from 0 to 2.9%, and the effects of two seasons were somewhat inconsistent with past SOPHIA studies. In conclusion, the modeled ambient PM2.5 exposure is associated with exacerbation of pediatric asthma and wheeze in Atlanta; RS provides high resolution exposure data, which will contribute to the precision of epidemiological studies.

Table of Contents

TABLE OF CONTENTS

CHAPTER TITLE PAGE Distribution Agreement i Approval Sheet ii Abstract Cover Page iii Abstract iv Cover Page v Acknowledgements vi Table of Contents vii List of Tables and Figures viii 1 Background 1 2 Data Sources 8 2.1 Emergency Department (ED) Visits 8 2.2 PM2.5 Data 8 3 Methods 10 4 Results 13 5 Discussion 15 6 Conclusion 19 7 References 20 8 Tables 28 9 Figures 31

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