Qian Shasha, Guo Wei, Xing Jiannan, Qin Qianqian, Ding Zhengwei, Chen Fangfang, Peng Zhihang, Wang Lu
aNational Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing bDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, China. *Shasha Qian and Dr Wei Guo contributed equally to the writing of this article.
AIDS. 2014 Jul 31;28(12):1805-13. doi: 10.1097/QAD.0000000000000323.
To find out the diversity of HIV/AIDS epidemic among different areas in China according to their varied epidemic characteristics.
Seventeen provincial variables, generated from original HIV/AIDS epidemic data and socioeconomic indicators to indicate HIV/AIDS epidemic characteristics, were introduced to hierarchical clustering analysis to form subepidemic areas. Then spatial autocorrelation analysis was applied to show the clustering distribution of cases from different most-at-risk populations.
Three HIV/AIDS subepidemic areas (A, B, C) were formed, each of which was further divided into two clusters, showing the diversity of HIV/AIDS epidemic in China. A1 was the earliest and severest HIV/AIDS epidemic area and occupied 37% hotspot counties. The epidemic in A1 was driven by IDU in its early period and heterosexual transmission later. Henan, the only province in A2, characterized by its HIV/AIDS epidemic among former plasma donors during the early 1990s, presented strong spatial clustering of blood/plasma transmission occupying 80% blood/plasma hotspots. The epidemic within B3, located in southwest China, was driven by IDU and heterosexual populations, and recently by MSM. The epidemic within B4, covering all four municipalities, had been largely spread among MSM since 2005. B3 and B4 occupied 76% MSM hotspots. For C5 and C6, only sporadic HIV/AIDS infections occurred in the last years among former plasma donors and heterosexual populations, whereas the prevalence among MSM had been increasing.
China's different HIV/AIDS subepidemic areas had obvious diversity of affected populations, which should be considered when determining prevention policies.
根据不同地区艾滋病流行特征的差异,了解中国不同地区艾滋病流行的多样性。
从原始艾滋病流行数据和社会经济指标中生成17个省级变量,以指示艾滋病流行特征,并将其引入层次聚类分析以形成子流行区。然后应用空间自相关分析来显示不同高危人群病例的聚集分布。
形成了三个艾滋病子流行区(A、B、C),每个子流行区又进一步分为两个聚类,显示了中国艾滋病流行的多样性。A1是最早且最严重的艾滋病流行区,占37%的热点县。A1区的流行在早期由注射吸毒驱动,后来由异性传播驱动。A2区唯一的省份河南,其特点是在20世纪90年代初,既往有偿供血人群中出现艾滋病流行,血液/血浆传播呈现强烈的空间聚集,占80%的血液/血浆热点。位于中国西南部的B3区的流行由注射吸毒者和异性人群驱动,最近由男男性行为者驱动。涵盖四个直辖市的B4区的流行自2005年以来主要在男男性行为者中传播。B3和B4区占76%的男男性行为者热点。对于C5和C6区,近年来在既往有偿供血者和异性人群中仅出现零星的艾滋病感染,而男男性行为者中的患病率一直在上升。
中国不同的艾滋病子流行区在受影响人群方面存在明显差异,在制定预防政策时应予以考虑。