Artigo Acesso aberto Revisado por pares

PM2.5 in Beijing – temporal pattern and its association with influenza

2014; BioMed Central; Volume: 13; Issue: 1 Linguagem: Inglês

10.1186/1476-069x-13-102

ISSN

1476-069X

Autores

Yijia Liang, Li‐Qun Fang, Hui Pan, Kezhong Zhang, Haidong Kan, Jeffrey R. Brook, Qinghua Sun,

Tópico(s)

Energy and Environment Impacts

Resumo

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. 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. 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). Ambient PM2.5 concentrations were significantly associated with human influenza cases in Beijing, which have important implications for public health and environmental actions.

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