A Time Series Analysis of Atmospheric NO2 Pollution and Outpatient Visits of Children for Respiratory Diseases in Yuexiu District of Guangzhou, China
Vol 2, Issue 1, 2021
VIEWS - 33 (Abstract)
Abstract
Objective To explore the effect of atmospheric NO2 concentration on outpatient visits of children for respiratory diseases in Yuexiu District of Guangzhou, China. Methods Data on atmospheric NO2 , meteorology, and the outpatient visits for respiratory diseases were collected in a children’s hospital in Yuexiu District of Guangzhou from 2014 to 2016. Spearman rank correlation analysis and time series analysis using a generalized additive model were applied to study relationship and its lag effects between atmospheric NO2 concentration and concurrent pediatric outpatient visits for respiratory diseases. Results In 2014, 2015, and 2016, the annual means of atmospheric NO concentration in Yuexiu District were 6130, 6046 and 6081 μ g/ m3 , respectively, and the days in which the NO2 concentrations over the national standard values were 70, 64 and 62, respectively. The time series analysis showed significant effect of atmospheric NO2 concentration on respiratory outpatient visits from day 0 to day 7, with the greatest effect on the lag0 d. An excess risk (ER) of 145% (95% CI: 093% -198%) was on lag day 0 (lag0). The greatest cumulative lag effect and an ER of 307% (95% CI: 204% -410%) were observed on lag days 0-6 (lag06 d) . Conclusion The increase in NO2 in Yuexiu District of Guangzhou from 2014 to 2016 led to outpatient visits increasing for respiratory diseases.
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