期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Spatial patterns and effects of air pollution and meteorological factors on hospitalization for chronic lung diseases in Beijing, China 被引量:5
1
作者 Lin Tian chuan Yang +3 位作者 Zijun Zhou Ziting Wu Xiaochuan Pan archie c. a. clements 《Science China(Life Sciences)》 SCIE CAS CSCD 2019年第10期1381-1388,共8页
Chronic obstructive pulmonary disease(COPD), lung cancer(LC) and tuberculosis(TB) are common chronic lung diseases that generate a large disease burden and significant health care resource use in China. The aim of thi... Chronic obstructive pulmonary disease(COPD), lung cancer(LC) and tuberculosis(TB) are common chronic lung diseases that generate a large disease burden and significant health care resource use in China. The aim of this study was to quantify spatial patterns and effects of air pollution and meteorological factors on hospitalization of COPD, LC and TB in Beijing. Daily counts of hospitalization for 2010 were obtained from the Beijing Urban Employees Basic Medical Insurance(UEBMI) system.Bayesian hierarchical Poisson regression models were applied to identify spatial patterns of hospitalization for COPD, LC and TB at the district level and explore associations with inhalable particulate matter(aerodynamic diameter <10 μm, PM10), sulfur dioxide(SO2), nitrogen dioxide(NO2), mean temperature and relative humidity. There were 18,882, 14,295 and 2,940 counts of hospitalizations for COPD, LC and TB respectively, in Beijing in 2010. Clusters of high relative risk were in different locations for the three diseases. The effect of relative humidity on COPD hospitalization was most significant with a relative risk(RR) of 1.070(95%CI: 1.054, 1.086) per one percent increase. For lung cancer hospitalization, exposure to ambient SO2 was associated with a RR of 1.034(95%CI: 1.011, 1.058) per μg m–3 increase. For tuberculosis, the effect of mean temperature was significant with a RR of 1.107(95%CI: 1.038, 1.180) per °C increase. Risk factors and spatial patterns were different for hospitalization of non-infectious and infectious chronic lung disease in Beijing. Even over a short time period(one year), associations were apparent with air pollution and meteorological factors. 展开更多
关键词 air POLLUTION METEOROLOGICAL factors CHRONIC LUNG disease spatial analysis Bayesian model
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部