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莫桑比克青年人群中 HIV 感染率的空间分布

Spatial Distribution of HIV Prevalence among Young People in Mozambique.

机构信息

Interuniversity Institute for Statistics and Statistical Bioinformatics, Hasselt University, 3590 Diepenbeek, Belgium.

Department of Mathematics and Informatics, Faculty of Sciences, Universidade Eduardo Mondlane, 254 Maputo, Mozambique.

出版信息

Int J Environ Res Public Health. 2020 Jan 31;17(3):885. doi: 10.3390/ijerph17030885.

Abstract

Mozambique has a high burden of HIV and is currently ranked sixth worldwide for adult prevalence. In Mozambique, HIV prevalence is not uniformly distributed geographically and throughout the population. We investigated the spatial distribution of HIV infection among adolescents and young people in Mozambique using the 2009 AIDS Indicator Survey (AIS). Generalized geoadditive modeling, combining kriging and additive modeling, was used to study the geographical variability of HIV risk among young people. The nonlinear spatial effect was assessed through radial basis splines. The estimation process was done using two-stage iterative penalized quasi-likelihood within the framework of a mixed-effects model. Our estimation procedure is an extension of the approach by Vandendijck et al., estimating the range (spatial decay) parameter in a binary context. The results revealed the presence of spatial patterns of HIV infection. After controlling for important covariates, the results showed a greater burden of HIV/AIDS in the central and northern regions of the country. Several socio-demographic, biological, and behavioral factors were found to be significantly associated with HIV infection among young people. The findings are important, as they can help health officials and policy makers to design targeted interventions for responding to the HIV epidemic.

摘要

莫桑比克的艾滋病毒负担沉重,目前在全球成人艾滋病发病率方面排名第六。在莫桑比克,艾滋病毒的流行并非在地理上和整个人口中均匀分布。我们利用 2009 年艾滋病指标调查(AIS)研究了莫桑比克青少年和年轻人中艾滋病毒感染的空间分布。广义地理加性模型结合克里金和加性模型用于研究年轻人中艾滋病毒风险的地理可变性。通过径向基样条评估了非线性空间效应。使用混合效应模型框架内的两阶段迭代惩罚拟似然对数进行了估计过程。我们的估计程序是 Vandendijck 等人的方法的扩展,在二进制环境中估计范围(空间衰减)参数。结果显示出艾滋病毒感染的空间模式存在。在控制了重要的协变量后,结果表明该国中部和北部地区的艾滋病毒/艾滋病负担更重。研究发现,一些社会人口统计学、生物学和行为因素与年轻人中的艾滋病毒感染显著相关。这些发现很重要,因为它们可以帮助卫生官员和决策者设计有针对性的干预措施,以应对艾滋病毒流行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a0b7/7037233/82c5e496a861/ijerph-17-00885-g0A1.jpg

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