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目的了解云南省德宏州陇川县城社区出租房租住人口的社会人口学特征和居住关系网络,以及艾滋病病毒(HIV)感染情况。方法采用横断面调查。2014年对该社区的740名出租房流动人员进行面对面的问卷调查,记录这些人员的基线信息,同时采血检测HIV和梅毒抗体。结果 740名调查对象中,男性占49.59%,汉族占67.57%,67.16%目前在婚,外地人(非德宏州户籍的流动人口)占50.27%,缅籍人口占17.03%;德宏本地、外地、缅籍调查对象的社会人口学特征存在显著差异。HIV感染率为2.03%(15/740),梅毒感染率1.35%(10/740);其中,德宏本地、外地、缅籍出租房流动人口HIV感染率分别为1.65%(4/242)、1.61%(6/372)和3.97%(5/126)。3处出租房在地理位置上起到了关键中介和沟通的作用。在由192个对象或节点组成的34个居住关系网络中,20个网络具有≥3人群居关系,包括3个HIV感染者;7个网络具有两人居住关系,包括2个HIV双阳网络,3个HIV单阳网络;其余7个网络为独居关系,其中6人为HIV阳性。结论德宏州陇川县社区出租屋租住人群社会人口学特征复杂,HIV感染率水平较高,居住关系网络分析有助于对该人群开展针对性的艾滋病预防干预。
Objective To understand the socio-demographic characteristics and residence network of rented-rent housing in Longchuan County, Dehong Prefecture, Yunnan Province, and the status of HIV infection. Methods using cross-sectional survey. In 2014, 740 community-owned renters were asked to conduct a face-to-face questionnaire to record the baseline information of these individuals and blood tests to detect HIV and syphilis antibodies. Results Among the 740 respondents, 49.59% were male, 67.57% were Han nationality, 67.16% were currently married, 50.27% were foreigners (migrants from non-Dehong Prefecture), and 17.03% were Burmese residents. Dehong, There are significant differences in the socio-demographic characteristics of foreign and Burmese survey respondents. HIV infection rate was 2.03% (15/740) and syphilis infection rate was 1.35% (10/740). Among them, the prevalence of HIV infection in floating population of local, foreign and Burmese rental houses in Dehong were 1.65% (4/242) 1.61% (6/372) and 3.97% (5/126). 3 rental housing in the geographical location played a key intermediary and communication role. Of the 34 dwelling networks of 192 objects or nodes, 20 have a population of ≥3, including 3 HIV-infected; 7 have a two-person dwelling relationship including 2 HIV Shuangyang networks, 3 HIV single positive network; the remaining seven networks are singleton relationships, of whom 6 were HIV-positive. Conclusion The population of rental housing in Longchuan County, Dehong Prefecture has complex socio-demographic characteristics and high HIV infection rate. The analysis of residential relationship network helps to carry out targeted AIDS prevention intervention for this population.