首都医科大学学报 ›› 2016, Vol. 37 ›› Issue (3): 360-363.doi: 10.3969/j.issn.1006-7795.2016.03.022

• 基础研究 • 上一篇    下一篇

2013年中国艾滋病疫情空间积聚性分析

刘美玲   

  1. 首都医科大学公共卫生学院 首都医科大学环境毒理学北京市重点实验室, 北京 100069
  • 收稿日期:2016-01-15 出版日期:2016-06-21 发布日期:2016-06-13
  • 通讯作者: 刘美玲 E-mail:1432955478@qq.com

Spatial clustering analysis of acquired immune deficiency syndrome(AIDS)epidemic in China of 2013

Liu Meiling   

  1. School of Public Health, Capital Medical University, Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, China
  • Received:2016-01-15 Online:2016-06-21 Published:2016-06-13

摘要: 目的 对2013年全国各省、直辖市、自治区艾滋病(acquired immune deficiency syndrome,AIDS)流行情况进行分类并比较。方法 采用聚类分析方法,根据AIDS发病率和死亡率指标,对全国各省、直辖市、自治区进行分类,比较各省、直辖市、自治区AIDS的流行情况与严重程度。结果 全国31个省、直辖市、自治区根据疾病的严重程度可划分为3个病区。第一类病区(包括广西壮族自治区和云南省)AIDS发病率与死亡率最严重,广西壮族自治区AIDS发病率为15.036 3 /10万,死亡率为5.916 3/10万;云南省AIDS发病率为12.4748/10万,死亡率为3.599 5/10万。结论 全国AIDS疫情分布具有明显的空间聚集性,为医疗卫生资源的合理分配,防控措施的有效制定提供了科学依据。

关键词: 艾滋病, 聚类分析, 发病率, 死亡率

Abstract: Objective To classify provinces, municipalities and autonomous regions of China into different categories according to the morbidity and mortality of acquired immune deficiency syndrome(AIDS) in year 2013 and make comparison among them.Methods We used fast clustering procedure to do the classification according to indicators of AIDS morbidity and mortality, classifying the provinces, municipalities and autonomous regions, to compare the prevalence and severity of AIDS among them.Results All the provinces, municipalities and autonomous regions could be divided into five parts based on the prevalence and severity of AIDS. Severity of AIDS in Yunnan Province, Guangxi Zhuang Autonomous Region were at the top level in China, as morbidity and mortality in Yunnan Province were 12.474 8 per 0.1million population and 3.599 5 per 0.1million population, also morbidity and mortality in Guangxi Zhuang Autonomous Region were 15.036 3 per 0.1million population and 5.916 3 per 0.1million population.Conclusion National AIDS epidemic has significant spatial clustered, providing a scientific basis for rational allocation of health care resources and developing effective prevention and control measures.

Key words: acquired immune deficiency syndrome, cluster-analysis, morbidity, mortality

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