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 journalArticleAcademicpeer-review


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 languageEnglish
Pages (from-to)2486-2492
JournalScience of the Total Environment
Issue number13
Publication statusPublished - 1 Jun 2011


  • Allergic rhinitis
  • Air pollutant
  • Beijing
  • Time series
  • Environmental health

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