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Covariates and Spatial Interpolation of HIV Screening in Mozambique: Insight from the 2015 AIDS Indicator Survey

机译:莫桑比克艾滋病毒筛查的协变量和空间插值:2015艾滋病指标调查中的见解

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摘要

We examined the factors associated with human immunodeficiency virus (HIV) screening and developed a HIV screening prevalence surface map using spatial interpolation techniques to identify the geographical areas with the highest and lowest rates of HIV screening in Mozambique. We analyzed the cross-sectional 2015 Mozambique AIDS Indicator Surveys with an analytic sample of 12,995 participants. Analyses were conducted on SPSS-21, STATA-14, and R freeware 3.5.3. We adjusted for the sample design and population weights. Results indicated that 52.5% of Mozambicans had undergone HIV screening. Mozambicans with these characteristics have a higher probability of undergoing HIV screening: females, those with a primary education or higher, urban dwellers, residents of wealthy households, having at least one lifetime sexual partner, and dwelling in these provinces—Niassa, Tete, Manica, Sofala, Inhambane, Gaza, Maputo Provincia, and Maputo Cidade. The spatial map revealed that the national and regional estimates mask sub-regional level estimates. Generally, zones with the highest HIV screening prevalence are found in southern provinces while the lowest prevalence was found in the northern provinces. The map further revealed intraregional differences in HIV screening estimates. We recommend that HIV screening be expanded, with equitable screening resource allocations that target more nuanced areas within provinces which have a low HIV screening prevalence.
机译:我们检查了与人免疫缺陷病毒(HIV)筛查相关的因素,并使用空间插值技术开发了HIV筛选流行性表面图,以识别莫桑比克中具有最高和最低率的HIV筛选率的地理区域。我们分析了2015年莫桑比克艾滋病指标调查,分析了12,995名参与者的分析样本。在SPSS-21,Stata-14和R免费软件3.5.3上进行分析。我们调整了样品设计和人口重量。结果表明,52.5%的莫桑比克人经历了HIV筛查。具有这些特征的莫桑比克人具有更高的艾滋病毒筛查概率:女性,具有初等教育或更高,城市居民,富裕家庭居民的女性,至少有一个终身性伴侣,以及居住在这些省份 - Niassa,Tete,Tete,Tete,Tete,Manica ,Sofala,Inhambane,Gaza,Maputo Provincia和Maputo Cidade。空间地图透露,国家和区域估计掩盖亚区域一级估计。通常,南部省份发现具有最高HIV筛查流行率的区域,而在北部省份发现最低普遍存在。地图进一步揭示了HIV筛查估计的内部差异。我们建议扩大艾滋病毒筛查,公平筛查资源分配,以占HIV筛查患病率低的省份中的更细微的细微差异。

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