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首页> 外文期刊>International Journal of Health Geographics >Geospatial analysis of HIV-Related social stigma: A study of tested females across mandals of Andhra Pradesh in India
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Geospatial analysis of HIV-Related social stigma: A study of tested females across mandals of Andhra Pradesh in India

机译:与艾滋病毒相关的社会污名的地理空间分析:一项针对印度安得拉邦男男性行为测验的女性的研究

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Background In Geographical Information Systems issues of scale are of an increasing interest in storing health data and using these in policy support. National and international policies on treating HIV (Human Immunodeficiency Virus) positive women in India are based on case counts at Voluntary Counseling and Testing Centers (VCTCs). In this study, carried out in the Indian state of Andhra Pradesh, these centers are located in subdistricts called mandals, serving for both registration and health facility policies. This study hypothesizes that people may move to a mandal different than their place of residence for being tested for reasons of stigma. Counts of a single mandal therefore may include cases from inside and outside a mandal. HIV counts were analyzed on the presence of outside cases and the most likely explanations for movement. Counts of women being tested on a practitioners' referral (REFs) and those directly walking-in at testing centers (DWs) were compared and with counts of pregnant women. Results At the mandal level incidence among REFs is on the average higher than among DWs. For both groups incidence is higher in the South-Eastern coastal zones, being an area with a dense highway network and active port business. A pattern on the incidence maps was statistically confirmed by a cluster analysis. A spatial regression analysis to explain the differences in incidence among pregnant women and REFs shows a negative relation with the number of facilities and a positive relation with the number of roads in a mandal. Differences in incidence among pregnant women and DWs are explained by the same variables, and by a negative relation with the number of neighboring mandals. Based on the assumption that pregnant women are tested in their home mandal, this provides a clear indication that women move for testing as well as clues for explanations why. Conclusions The spatial analysis shows that women in India move towards a different mandal for getting tested on HIV. Given the scale of study and different types of movements involved, it is difficult to say where they move to and what the precise effect is on HIV registration. Better recording the addresses of tested women may help to relate HIV incidence to population present within a mandal. This in turn may lead to a better incidence count and therefore add to more reliable policy making, e.g. for locating or expanding health facilities.
机译:背景技术在地理信息系统中,规模问题在存储健康数据并将其用于政策支持中越来越引起人们的关注。在印度,治疗艾滋病毒(人类免疫缺陷病毒)阳性妇女的国家和国际政策基于自愿咨询和检测中心(VCTC)的病例数。在印度安得拉邦进行的这项研究中,这些中心位于称为“曼德斯”的街道中,用于登记和医疗机构政策。这项研究假设,由于污名的原因,人们可能会搬到与其居住地不同的地方来进行测试。因此,单个曼荼罗的计数可能包括曼荼罗内部和外部的案件。对艾滋病毒计数进行了分析,包括外部病例和最可能的运动解释。比较了从业人员推荐信(REFs)和直接进入测试中心(DWs)接受检查的女性人数,以及孕妇人数。结果REF的平均发生率平均高于DW。对于这两个群体,东南沿海地区的发病率都较高,这是一个公路网密集且港口业务活跃的地区。通过聚类分析在统计学上确认了发病率图上的图案。通过空间回归分析来解释孕妇和REF之间发病率的差异,结果表明,该设施与设施数量成反比,与道路数量成正比。孕妇和体力劳动者之间的发病率差异是由相同的变量解释的,并且与邻近的男人数呈负相关。基于孕妇在家中接受测试的假设,这清楚地表明孕妇正在接受测试,并提供了解释原因的线索。结论空间分析表明,印度的女性正朝着不同的方向接受艾滋病毒检测。考虑到研究规模和所涉及的不同类型的活动,很难说出他们的去向以及对艾滋病毒登记的确切影响。更好地记录受测妇女的住址可能有助于将艾滋病毒的发病率与成群内的人口联系起来。反过来,这可以导致更好的发生率计数,并因此增加了更可靠的政策制定,例如用于定位或扩展医疗机构。

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