Time-series studies on air pollution and daily outpatient visits for allergic rhinitis in Beijing, China

Fengying Zhang; Wuyi Wang; Jinmei Lv; Thomas Krafft; Jin Xu

doi:10.1016/j.scitotenv.2011.04.007

Time-series studies on air pollution and daily outpatient visits for allergic rhinitis in Beijing, China

Fengying Zhang, Wuyi Wang^*, Jinmei Lv, Thomas Krafft, Jin Xu

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

To investigate the effects of urban air quality change on health, we carried out a time-series analysis of daily general practitioner consultations for allergic rhinitis (AR) in Beijing, China. Non-parametric generalized additive model (GAM) was used to analyze the highly non-linear or non-monotonic exposure-response relationship between three air pollutants (namely PM(10). SO(2) and NO(2)) and daily outpatient visits for AR, after controlling for long term trends, the 'day of the week' effect and confounding meteorological factors. The objective of this study was to assess the possible effects of air pollutants on outpatient visits caused by AR in Beijing during the period 2009-2010. Our work indicates that strong associations exist between daily concentration of the three air pollutants and the daily number of outpatients for AR.

Original language	English
Pages (from-to)	2486-2492
Journal	Science of the Total Environment
Volume	409
Issue number	13
DOIs	https://doi.org/10.1016/j.scitotenv.2011.04.007
Publication status	Published - 1 Jun 2011

Keywords

Allergic rhinitis
Air pollutant
Beijing
Time series
Environmental health

Access to Document

10.1016/j.scitotenv.2011.04.007

Cite this

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title = "Time-series studies on air pollution and daily outpatient visits for allergic rhinitis in Beijing, China",

abstract = "To investigate the effects of urban air quality change on health, we carried out a time-series analysis of daily general practitioner consultations for allergic rhinitis (AR) in Beijing, China. Non-parametric generalized additive model (GAM) was used to analyze the highly non-linear or non-monotonic exposure-response relationship between three air pollutants (namely PM(10). SO(2) and NO(2)) and daily outpatient visits for AR, after controlling for long term trends, the 'day of the week' effect and confounding meteorological factors. The objective of this study was to assess the possible effects of air pollutants on outpatient visits caused by AR in Beijing during the period 2009-2010. Our work indicates that strong associations exist between daily concentration of the three air pollutants and the daily number of outpatients for AR. ",

keywords = "Allergic rhinitis, Air pollutant, Beijing, Time series, Environmental health",

author = "Fengying Zhang and Wuyi Wang and Jinmei Lv and Thomas Krafft and Jin Xu",

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T1 - Time-series studies on air pollution and daily outpatient visits for allergic rhinitis in Beijing, China

AU - Zhang, Fengying

AU - Wang, Wuyi

AU - Lv, Jinmei

AU - Krafft, Thomas

AU - Xu, Jin

PY - 2011/6/1

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N2 - To investigate the effects of urban air quality change on health, we carried out a time-series analysis of daily general practitioner consultations for allergic rhinitis (AR) in Beijing, China. Non-parametric generalized additive model (GAM) was used to analyze the highly non-linear or non-monotonic exposure-response relationship between three air pollutants (namely PM(10). SO(2) and NO(2)) and daily outpatient visits for AR, after controlling for long term trends, the 'day of the week' effect and confounding meteorological factors. The objective of this study was to assess the possible effects of air pollutants on outpatient visits caused by AR in Beijing during the period 2009-2010. Our work indicates that strong associations exist between daily concentration of the three air pollutants and the daily number of outpatients for AR.

AB - To investigate the effects of urban air quality change on health, we carried out a time-series analysis of daily general practitioner consultations for allergic rhinitis (AR) in Beijing, China. Non-parametric generalized additive model (GAM) was used to analyze the highly non-linear or non-monotonic exposure-response relationship between three air pollutants (namely PM(10). SO(2) and NO(2)) and daily outpatient visits for AR, after controlling for long term trends, the 'day of the week' effect and confounding meteorological factors. The objective of this study was to assess the possible effects of air pollutants on outpatient visits caused by AR in Beijing during the period 2009-2010. Our work indicates that strong associations exist between daily concentration of the three air pollutants and the daily number of outpatients for AR.

KW - Allergic rhinitis

KW - Air pollutant

KW - Beijing

KW - Time series

KW - Environmental health

U2 - 10.1016/j.scitotenv.2011.04.007

DO - 10.1016/j.scitotenv.2011.04.007

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