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PM2.5 in Beijing � Temporal pattern and its association with influenza
International Conference on Influenza
Qinghua Sun1, Yijia Liang1, Liqun Fang2, Hui Pan3, Kezhong Zhang4, Haidong Kan5 and Jeffrey R Brook6
1The Ohio State University, USA 2Beijing Institute of Microbiology and Epidemiology, China 3Peking Union Medical College Hospital, China 4Wayne State University School of Medicine, USA 5Fudan University, China 6Environment Canada, Canada
Posters-Accepted Abstracts: J Infect Dis Ther
Abstract
Background: Air pollution in Beijing, especially PM2.5, has received increasing attention in the past years. Despite Beijing being one of the most polluted cities in the world, there has still been a lack of quantitative research regarding the health impact of PM2.5 on the impact of diseases in Beijing. In this study, we aimed to characterize temporal pattern of PM2.5 and its potential association with human influenza in Beijing. Methods: Based on the data collected on �¬�¬hourly ambient PM2.5 from year 2008 to 2013 and on monthly human influenza cases from 2008 and 2011, we investigated temporal patterns of PM2.5 over the five-year period and utilized the wavelet approach to exploring the potential association between PM2.5 and influenza. Results: Our results found that ambient PM2.5 pollution was severe in Beijing with PM2.5 concentrations being significantly higher than the standards of the World Health Organization, the US EPA, and the Chinese EPA in the majority of days during the study period. Furthermore, PM2.5 concentrations in the winter heating seasons were higher than those in non-heating seasons despite high variations. We also found significant association between ambient PM2.5 peak and human influenza case increase with a delayed effect (e.g. delayed effect of PM2.5 on influenza). Conclusions: Ambient PM2.5 concentrations were significantly associated with human influenza cases in Beijing, which have important implications for public health and environmental actions.Biography
Email: sun.224@osu.edu
