Department of Psychology, Educational Sciences and Human Movement, University of Palermo, Palermo, Italy.
Biodemography Soc Biol. 2024 Jul-Sep;69(3):149-162. doi: 10.1080/19485565.2024.2384995. Epub 2024 Jul 29.
Over two-thirds of the population living with HIV were concentrated in Eastern, Southern, Western, and Central Africa in 2021. This paper employs data from the Demographic and Health Survey to assess the relationship between HIV prevalence and its socio-economic and demographic drivers at the neighborhood (macro-cluster) level. Additionally, the study examines the existence of differences in such relationships among countries. The results of the fractional logistic regression models highlight that highly educated neighborhoods are less likely to be affected by HIV. A greater average number of children, potentially due to programs that promote access to preventive antenatal care and prevention, is associated with a lower likelihood of residents living with HIV. Notably, HIV testing coverage is prevalent in neighborhoods with a high prevalence of HIV. It is also evident that there are notable differences between countries, which demonstrate national context plays a crucial role in the association between education, number of children, testing coverage, and HIV prevalences.
2021 年,超过三分之二的艾滋病毒感染者集中在东部、南部、西部和中部非洲。本文利用来自人口与健康调查的数据,在社区(宏观集群)层面评估艾滋病毒流行率及其社会经济和人口驱动因素之间的关系。此外,该研究还考察了这些关系在各国之间是否存在差异。分位数逻辑回归模型的结果表明,受教育程度较高的社区受艾滋病毒影响的可能性较小。由于促进获得预防产前护理和预防的方案,平均儿童人数较多,与艾滋病毒感染者居住的可能性较低有关。值得注意的是,艾滋病毒检测覆盖面高的社区,艾滋病毒流行率也较高。各国之间也存在显著差异,这表明国家背景在教育、儿童人数、检测覆盖面和艾滋病毒流行率之间的关联中起着至关重要的作用。