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DOI: 10.1371/journal.pone.0147866
论文题名:
A Geographic Analysis about the Spatiotemporal Pattern of Breast Cancer in Hangzhou from 2008 to 2012
作者: Xufeng Fei; Zhaohan Lou; George Christakos; Qingmin Liu; Yanjun Ren; Jiaping Wu
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-1-25
卷: 11, 期:1
语种: 英语
英文关键词: Breast cancer ; China ; Monte Carlo method ; Economic development ; Geographic distribution ; Antigen-presenting cells ; Behavioral geography ; Socioeconomic aspects of health
英文摘要: Background Breast cancer (BC) is the most common female malignant tumor. Previous studies have suggested a big incidence disparity among different cities in China. The present work selected a typical city, Hangzhou, to study BC incidence disparity within the city. Methods Totally, 8784 female breast cancer cases were obtained from the Hangzhou Center for Disease Control and Prevention during the period 2008–2012. Analysis of Variance and Poisson Regression were the statistical tools implemented to compare incidence disparity in the space-time domain (reference group: township residents during 2008, area: subdistrict, town, and township, time frame: 2008–2012), space-time scan statistics was employed to detect significant spatiotemporal clusters of BC compared to the null hypothesis that the probability of cases diagnosed at a particular location was equal to the probability of cases diagnosed in the whole study area. Geographical Information System (GIS) was used to generate BC spatial distribution and cluster maps at the township level. Results The subdistrict populations were found to have the highest and most stable BC incidence. Although town and township populations had a relatively low incidence, it displayed a significant increasing trend from 2008 to 2012. The BC incidence distribution was spatially heterogeneous and clustered with a trend-surface from the southwest low area to the northeast high area. High clusters were located in the northeastern Hangzhou area, whereas low clusters were observed in the southwestern area during the time considered. Conclusions Better healthcare service and lifestyle changes may be responsible for the increasing BC incidence observed in towns and townships. One high incidence cluster (Linping subdistrict) and two low incidence clusters (middle Hangzhou) were detected. The low clusters may be attributable mainly to developmental level disparity, whereas the high cluster could be associated with other risk factors, such as environmental pollution.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0147866&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/23842
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, China;Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China;Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China;Hangzhou Center for Disease Control and Prevention, Hangzhou, China;Hangzhou Center for Disease Control and Prevention, Hangzhou, China;Institute of Islands and Coastal Ecosystems, Zhejiang University, Zhoushan, China

Recommended Citation:
Xufeng Fei,Zhaohan Lou,George Christakos,et al. A Geographic Analysis about the Spatiotemporal Pattern of Breast Cancer in Hangzhou from 2008 to 2012[J]. PLOS ONE,2016-01-01,11(1)
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