文章摘要
彭志行,羊海涛,成月佳,王璐,喻荣彬,还锡萍,沈洪兵,陈峰,汪宁.应用地理信息系统技术对江苏省艾滋病疫情的空间分析[J].中华流行病学杂志,2011,32(1):42-46
应用地理信息系统技术对江苏省艾滋病疫情的空间分析
Study on the spatial distribution of AIDS based on geographic information system in Jiangsu province
收稿日期:2010-09-08  出版日期:2014-09-10
DOI:
中文关键词: 艾滋病;地理信息系统;空间自相关分析;趋势分析
英文关键词: AIDS;Geographic information system;Spatial autocorrelation analysis;Trend surface analysis
基金项目:"十一五"国家科技重大专项(2008ZX10001-003.2009ZXlO004-904);国家自然科学基金(81001288);江苏省高校自然科学基金(09KJB330004)
作者单位E-mail
彭志行   
羊海涛   
成月佳   
王璐   
喻荣彬   
还锡萍   
沈洪兵   
陈峰  dr.chenfeng@njmu.edu.cn 
汪宁  wangnbj@163.com 
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中文摘要:
      目的 探讨江苏省各县(区)HIV感染者空间分布规律,试建立疫情预测模型。方法 建立江苏省各县(市)HIV感染者人数疫情数据库,根据地理信息分析HIV感染者相关的地理特征,对HIV感染者人数进行趋势分析、空间自相关分析、空间线性回归分析。结果 (1)江苏省HIV感染者总体呈随机分布,但局部地区存在感染者聚集现象,发现南京市城区的感染者人数表现为负自相关,苏州和无锡市城区两地为正自相关。铜山县、吴江市、南京市浦口区和城区、溧水县、无锡市城区、苏州市城区为江苏省HIV感染者高度聚集的热点区域。(2)建立江苏省HIV感染者疫情分布图和趋势分析图,全省HIV感染者分布在地理东西方向上的变化不大,南北方向上,苏南地区疫情远远比苏北和苏中地区严重。(3)运用最小二乘法进行HIV感染者人数的空间线性回归分析,江苏省HIV感染者人数与地理经纬度之间的线性回归关系无统计学意义(t=-1.045103,P=0.299904;t=-1.443668,P=0.153714)。结论 应根据江苏省HIV感染者空间分布特点,制定预防和控制疫情传播的措施。
英文摘要:
      Objective To analyze the spatial distribution of AIDS in every city of Jiangsu province, trying to describe the geographic characteristics of AIDS and to develop a prediction model. Methods Numbers of patients in Jiangsu province were collected, to establish the database for the geographic information system, then setting up a 'risk map' of the disease. Spatial, autocorrelation. Linear spatial analyses were used to study the patients' numbers. Results (1) Results from the autocorrelation analysis showed that the distribution of AIDS was clustered at some places and was at random on the whole. The results also indicated that the distribution of AIDS in Nanjing was of negative correlation, while that in Suzhou and Wuxi were of positive correlation but in Tongshan, Wujiang, Pukou, Nanjing, Lishui, Wuxi and Suzhou showed seven locations of clusters with disease was more severe in the southern than in the northern parts of Jiangsu province. (3) Ordinary Least Squares method was finally used in the linear spatial regression and the results were: t=-1.045103 (P=0.299904); t=-1.443668 (P=0.153714) respectively. Conclusion According to the feature spatial distribution of the disease, effective measures should be taken to prevent and to keep the prevalence of AIDS under control.
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