期刊
SCIENCE OF THE TOTAL ENVIRONMENT
卷 408, 期 20, 页码 4429-4439出版社
ELSEVIER
DOI: 10.1016/j.scitotenv.2010.06.031
关键词
Bayesian inference; Kriging; Lung cancer; Non-Hodgkin's lymphoma; PM10; Population exposure; SO2; Spatial randomness
资金
- European Commission [SSPE-CT-2005, 044232]
- Israeli Ministry of Science and Technology
The Israel National Cancer Registry reported in 2001 that cancer incidence rates in the Haifa area are roughly 20% above the national average. Since Haifa has been the major industrial center in Israel since 1930, concern has been raised that the elevated cancer rates may be associated with historically high air pollution levels. This work tests whether persistent spatial patterns of metrics of chronic exposure to air pollutants are associated with the observed patterns of cancer incidence rates. Risk metrics of chronic exposure to Rim, emitted both by industry and traffic, and to SO2, a marker of industrial emissions, was developed. Ward-based maps of standardized incidence rates of three prevalent cancers: Non-Hodgkin's lymphoma, lung cancer and bladder cancer were also produced. Global clustering tests were employed to filter out those cancers that show sufficiently random spatial distribution to have a nil probability of being related to the spatial non-random risk maps. A Bayesian method was employed to assess possible associations between the morbidity and risk patterns, accounting for the ward-based socioeconomic status ranking. Lung cancer in males and bladder cancer in both genders showed non-random spatial patterns. No significant associations between the SO2-based risk maps and any of the cancers were found. Lung cancer in males was found to be associated with PM10, with the relative risk associated with an increase of 1 mu g/m(3) of PK10 being 12%. Special consideration of wards with expected rates <1 improved the results by decreasing the variance of the spatially correlated residual log-relative risk. (c) 2010 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据