Department of Sociology, School of Social Sciences, City University London, Northampton Square, London EC1V 0HB, UK.
Health Place. 2011 Sep;17(5):1067-83. doi: 10.1016/j.healthplace.2011.06.004. Epub 2011 Jun 22.
This paper applies multilevel logistic regression models to Demographic and Health Survey data collected during 2003-2008 from 20 countries of sub-Saharan Africa to examine the determinants and cross-national variations in the risk of HIV seropositivity in the region. The models include individual-level and contextual region/country-level risk factors. Simultaneous confidence intervals of country-level residuals are used to compare the risk of being HIV seropositive across countries. The study reveals interesting general patterns in the risk of HIV seropositivity in sub-Saharan Africa. In particular, the findings highlight the gender disparity in socio-economic risk factors, partly explained by sexual behaviour factors.
本文应用多水平逻辑回归模型，分析了 2003-2008 年期间来自撒哈拉以南非洲 20 个国家的人口与健康调查数据，以研究该地区艾滋病毒血清阳性率的决定因素和跨国差异。模型包括个体层面和情境层面（地区/国家层面）的风险因素。同时使用国家层面残差的置信区间来比较各国艾滋病毒血清阳性率的风险。研究揭示了撒哈拉以南非洲艾滋病毒血清阳性率的一些有趣的总体模式。特别是，研究结果突出了社会经济风险因素中的性别差距，部分原因是性行为因素。
